新潟医療福祉大学

医療情報経営学部

Department of Health Data Science 健康データサイエンス学科

教員紹介

医療情報経営学部／健康データサイエンス学科
Faculty of Healthcare Management／Department of Health Data Science

大和田勇人 Hayato Ohwada

教授

プロフィール

担当科目	統計Ⅰ、統計Ⅱ、人工知能、人工知能演習、機械学習、機械学習演習
専門分野	応用人工知能、機械学習
キーワード	帰納論理プログラミング、制約論理プログラミング
学位・称号／取得機関／取得年	工学博士／東京理科大学／1988年
過去の経歴	昭和63年4月　東京理科大学理工学部経営工学科助手平成11年4月　東京理科大学理工学部経営工学科専任講師平成13年4月　東京理科大学理工学部経営工学科助教授平成17年4月　東京理科大学李王学部経営工学科教授令和5年4月　東京理科大学創域理工学部経営システム工学科（名称変更）教授
所属団体・学会等	情報処理学会会員（昭和60年4月～令和5年3月）人工知能学会会員（昭和60年4月～令和5年3月）日本ソフトウェア科学会会員（昭和60年～令和6年3月）

業績等

研究領域	帰納論理プログラミングの高速化スマート畜産・酪農
著書	1. 溝口、大和田入れたてJava 共立出版平成8年4月 2. 大和田、金盛 Webプログラミングコロナ社平成26年4月 3. 大和田、金盛 Pythonで始めるプログラミング入門コロナ社平成27年4月 4. 大和田　他機械学習近代科学社令和4年10月 5. 古川　他エージェントアプローチ人工知能複雑な意思決定共立出版平成20年7月
受賞歴	1. 1996 情報処理学会全国大会優秀賞 2. 2016 29th International Conference on Computers and Their Applications, Best Paper Award
研究論文（英文）	1. Hayato Ohwada and Fumio Miizoguchi Managing Search in Parallel Logic Programming Lecture Notes in Computer Science, Springer-Verlag 1988年6月 No. 315, 148-177 2. Hayato Ohwada and Fumio Mizoguchi An Examination of Applicability of FGHC: The Experience of Designing Qualitative Reasoning System Proc. of the International Conference on Fifth Generation Computer Systems, Ohmsha Publishers 1988年11月 1193-1200 3. Hayato Ohwada and Fumio Mizoguchi A Constraint Logic Programming Approach for Maintaining Consistency in User-Interface Design Proc. of the North American Conference on Logic Programming, The MIT Press 1990年1月 139-153 4. Hayato Ohwada and Fumio Mizoguchi Use of Contraint Logic Programming for Making Qualitative Reasoning More Powerful Proc. of Pacific Rim International Conference on Artificial Intelligence, Ohmsha Publishers 1990年1月 705-710 5. Fumio Mizoguchi and Hayato Ohwada A Contraint-oriented Decision Support System for Option-based Investment Strategies Proc. of the First International Conference on Artificial Intelligence Applications on Wall Street, IEEE Computer Society Press 1991年10月 146-151 6. Hayato Ohwada and Fumio Mizoguchi A Computational Method for Evidential Reasoning with Uncertain Information Advances in Software Science and Technology, Academic Press 1993年4月 63-86 7. Fumio Mizoguchi and Hayato Ohwada Using Inductive Logic Programming for Constrain Acquisition in Contraint-based Problem Solving Proc. of the 5th International Workshop on Inductive Logic Programming 1995年1月 297-322 8. Fumio Mizoguchi and Hayato Ohwada Using Constraint Programming to Design an Option-based Decision Support System Journal of Intelligent Systems in Accounting, Finance and Management 1995年3月 Vol.4,13-26 9. Fumio Mizoguchi and Hayato Ohwada Constrained Relative Least General Generalization for Inducing Constraint Logic Programs New Generation Computing, 1995年12月 Vol.3, No. 304, 335-368 10. Fumio Mizoguchi, Hayato Ohwada et al. Learning Rules that Classify Ocular Fundus Images for Glaucoma Diagnosis Lecture Notes in Artificial Intelligence, Springer-Verlag 1997年8月 No. 1314, 146-159 11. Hironori Hiraishi, Hayato Ohwada and Fumio Mizoguchi Web-based Communication and Control for Multiagent Robots Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems, IEEE Computer Society Press 1998年1月 120-125 12. Hiroyuki Nishiyama, Hayato Ohwada and Fumio Mizoguchi Logic Specifications for Multiple Robots based on Current Programming Languages Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems, IEEE Computer Society Press 1998年1月 286-291 13. Hiroshi Sawai, Hayato Ohwada and Fumio Mizoguchi Incorporating a Navigation Tool into a Browser for minig WWW information Proc. of 5th Pacific Rim International Conference on Artificial Intelligence 1998年1月 No. 1532, 453-454 14. Hayato Ohwada et al. Learning First-order Rules from Image Applied to Glaucoma Diagnosis Lecture Notes in Artificial Intelligence, Springer-Verlag, 1998年11月 No. 1531, 494-505 15. Hironori Hiraishi, Hayato Ohwada and Fumio Mizoguchi Time Constrained Heuristic Search for Practical Route Finding Lecture Notes in Artificial Intelligence, Springer-Verlag 1998年11月 No. 1531, 389-398 16. Hiruyuki Nishiyama, Hayato Ohwada and Fumio Mizoguchi Towards Agent-oriented Smart Office based on Concurrent Logic Languages Lecture Notes in Artificial Intelligence, Springer-Verlag 1998年11月 No. 1531, 59-70 17. Hironori Hiraishi, Hayato Ohwada and Fumio Mizoguchi Intercommunicating Car Navigation System with Dynamic Route Finding Proc. of IEEE/IEEJ/JSAI International Conference on Intelligent Transportation Systems 1999年4月 284-289 18. Fumio Mizoguchi, Hayato Ohwada et al. Collaboration between robotic agents at the smart office Proc. of the Third Annual Conference on Autonomous Agents 1999年5月 362-363 19. Kazuya Chiba, Hayato Ohwada and Fumio Mizoguchi Acquiring Graphic Design Knowledge with Nonmonotonic Inductive Learning Lecture Notes in Computer Science, Springer-Verlag 1999年7月 No. 1634, 56-67 20. Fumio Mizoguchi, et al. Smart Office Robot Collaboration based on Multi-agent Programming Artificial Intelligence 1999年11月 Vol. 114, 57-94 21. Hayato Ohwada and Fumio Mizoguchi Parallel Execution for Speeding Up Inductive Logic Programming Systems Lecture Notes in Artificial Intelligence, Springer-Verlag 1999年12月 No. 1721, 277-286 22. Fumio Mizoguchi and Hayato Ohwada Personalized Mail Agent Using Inductive Learning Machine Intelligence 2000年1月 Vol. 15, 154-175 23. Hayato Ohwada et al. Concurrent Execution of Optimal Hypothesis Search for Inverse Entailment Lecture Notes in Artificial Intelligence, Springer-Verlag 2000年7月 No. 1866, 165-173 24. Hayato Ohwada and Fumio Mizoguchi Integrating Information Visualization and Retrieval for Discovering Internet Sources Lecture Notes in Computer Science, Springer-Verlag 2001年10月 No. 1967, 38-49 25. Hayato Ohwada and Fumio Mizoguchi Integrating Information Visualization and Retrieval for Information Discovery Theoretical Computer Science 2003年1月 Vol. 292, 547-571 26. Yoko Ino et al. Extracting common concepts from wordnet to classity documents Proc. of the IASTED International Conference on Artificial Intelligence and Applications 2005年2月 656-661 27. Masaki Yokoyama et al. Detecting errors in POS-tagging using ILP Proc. of the 15th International Conference on Inductive Logic Programming 2005年8月 75-80 28. Masaki Yokoyama et al. Detecting and revising misclassifications using ILP Lecture Notes in Artificial Intelligence, Springer 2005年10月 No. 3735, 362-438 29. Atsushi Yamazaki et al. Using ILP for constructing process network in dies production Proc. of the 16th International Conference on Inductive Logic Programming 2006年8月 228-230 30. Yukio Uematsu et al. Proximity Scoring Using Sentence-Based Inverted Index for Practical Full-Text Search Lecture Notes in Computer Science, Springer 2008年9月 No. 5173, 308-319 31. Tetsuya Tsukamoto et al. ItemSpider: Social Networking Service that Extracts Personal Character from Individual's Book Information Lecture Notes in Computer Science, Springer-Verlag 2009年8月 No. 5465, 161-172 32. Tsuyoshi Yoshida and Hayato Ohwada Shill Bidder Detection for Online Auctions Lecture Notes in Computer Science, Springer 2010年8月 No. 6230, 351-358 33. Masaaki Tsujida et al. Large Scale Similarity-based Relation Expansion Proc. of 4th International Universal Communication Symposium 2010年10月 140-147 34. Masaaki Tsuchida et al. Toward Finding Semantic Relations not Written in a Single Sentence: An Integration Method using Auto-Discovered Rules Proc. of the 5th International Joint Conference on Natural Language Processing 2011年11月 116-120 35. Masato Okada, Keishi Takiguchi and Hayato Ohwada, A Smart Phone Information Appliance for Improved Usability Proc. of 11th IEEE International Conference on the 2012 Cognitive Informatics and Computing 2012年3月 191-195 36. Yutaka Yoshida and Hayato Ohwada Wikipedia Edit Number Prediction from the Past Edit Record Based on Auto-Supervised Learning Proc. of the 2012 International Conference on Systems and Informatics, IEEE Xplore 2012年5月 2415-2419 37. Takaya Yoshida and Hayato Ohwada Using Abstracts to Classify Life Medicine Papers Proc. of the 2012 International Conference on Systems and Informatics, IEEE Xplore 2012年5月 2272-2275 38. Hideyuki Mase and Hayato Ohwada A collaborative filtering incorporating hybrid-clustering technology Proc. of the 2012 International Conference on Systems and Informatics, IEEE Xplore 2012年5月 2342-2346 39. Kohei Ishikawa and Hayato Ohwada Extraction of How-to Type Question-Answering Sentences Using Query Sets Lecture Notes in Artificial Intelligence, Springer 2012年9月 No. 7457, 133-139 40. Yutaka Yoshida and Hayato Ohwada Identifying Important Factors for Future Contribution of Wikipedia Editors Lecture Notes in Artificial Intelligence, Springer 2012年9月 No. 7457, 285-297 41. Takahiro Shibuya, Katsutoshi Kanamori and Hayato Ohwada A Route Search System in Consideration of the Reservation Service in Amusement Parks for Smart Phone International Journal of Machine Learning and Computing 2012年12月 Vol. 2, No. 6, 771-775 42. Tatsuya Mori, Katsutoshi Kanamori and Hayato Ohwada Computing the Potential Profit of a Sales Item from Cross-Selling Relationships International Journal of Machine Learning and Computing 2012月12月 Vol. 2, No.6, 754-757 43. Yoshihiro Yamashita, Katsutoshi Kanamori and Hayato Ohwada Creating Layout System in Prototype Less Production System International Journal of Machine Learning and Computing 2012月12月 Vol. 2, No. 6, 776-781 44. Masato Okada, Katsutoshi Kanamori and Hayato Ohwada Binary Classication of Compounds by Learning from Docking Software Results and Chemical Information Proc. of 5th International Conference on Bioinformatics and Computational Biology 2013年3月 125-130 45. Fumio Mizoguchi, Hayato Ohwada at al. Identifying Driver's Cognitive Load Using Inductive Logic Programming Lecture Notes in Computer Science, Springer 2013年6月 No. 7842, 166-177 46. Takahiro Shibuya, Masato Okada and Hayato Ohwada A practical route search system for amusement parks navigation Journal of Systemics, Cybernetics and Informatics 2013年11月 Vol. 11, No. 8, 69-73 47. Ryutaro Akiyama, Katsutoshi Kanamori and Hayato Ohwada Clustering Web Pages Considering the Position of Each Word and the Search Term International Journal of e-Education, e-Business, e-Management and e-Learning 2013年12月 Vol. 3, No.6, 441-445 48. Ryo Mikami et al. A Next-Generation Recipe Recommendation System for Health and Environment International Journal of e-Education, e-Business, e-Management and e-Learning 2014年2月 Vol. 4, No. 1, 63-66 49. Takaya Yoshida et al. Discovering Compounds That Activate Plant Immunity Using Machine Learning Proc. of the 6th International Conference on Bioinformatics and Computational Biology 2014年3月 9-14 50. Yutaka Yoshida, Hayato Ohwada and Fumio Mizoguchi Temporal Discretization and Naive Bayes Classifier for Classifying Car Driver's Cognitive Load Proc. of the 29th International Conference on Computers and Their Applications 2014年3月 15-21 51. Takashi Matsui, Katsutoshi Kanamori and Hayato Ohwada Predicting Future Citation Count Using Bibliographic and Author Information of Articles International Journal of Machine Learning and Computing 2014年4月 Vol. 4, No. 2, 139-141 52. Hideyuki Mase, Katsutoshi Kanamori and Hayato Ohwada Trust-Aware Recommender System Incorporating Review Contents International Journal of Machine Learning and Computing 2014年4月 Vol. 4, No. 2, 127-132 53. Niken Martono et al. Customer Lifetime Value and Defection Possibility Prediction Model Using Machine Learning Lecture Notes in Artificial Intelligence, Springer 2014年4月 No. 8398, 62-71 54. Hayato Ohwada, Masato Okada and Katsutoshi Kanamori Route-Planning Algorithms for Amusement-Park Navigation International Journal of Software Science and Computational Intelligence 2014年4月 Vol. 6, No. 2, 78-92 55. Niken Martono and Hayato Ohwada Applicability of machine-learning techniques in predicting customer defection Proc. of the 2014 International Symposium on Technology Management and Emerging Technologies 2014年5月 157-162 56. Yutaka Yoshida et al. Classifying Cognitive Load and Driving Situation with Machine Learning International Journal of Machine Learning and Computing 2014年6月 Vol. 4, No. 3, 210-215 57. Takahiro Sasaki, Katsutoshi Kanamori and Hayato Ohwada Prediction of Accident By Using Decision Tree and Display Accident Information Lecture Notes on Information Theory 2014年6月 Vol. 2, No. 2, 186-190 58. Yu Ohya, Katsutoshi Kanamori and Hayato Ohwada Estimating Resource Distribution Using Satellite Images to Utilize Woody Biomass Lecture Notes on Information Theory 2014年6月 Vol. 2, No. 2, 158-162 59. Masato Okada, Keishi Takiguchi and Hayato Ohwada A Cognitive Engineering Design of a Smart Phone Information Appliance with Improved Usability International Journal of Software Science and Computational Intelligence 2014年7月 Vol. 6, No. 3, 49-59 60. Yutaka Yoshida, Hayato Ohwada and Fumio Mizoguchi Incorporating Temporal Discretization into Naïve Bayes Learning for Classifying a Driver's Cognitive Load International Journal of Computer and Their Application 2014年9月 Vol. 21, No. 3, 160-169 61. Katsutoshi Kanamori, Akinori Kanda, and Hayato Ohwada Proposal for a Similar Question Search System on a Q&A Site Journal on Systemics, Cybernetics and Informatics 2014年9月 Vol. 12, No. 3, 13-16 62. Yu Ohya, Katsutoshi Kanamori and Hayato Ohwada Evaluating Self-Training with Combined Supervised Learning for Land-Cover Classification of Time Series Remote-Sensing Imagery Proc. of 30th International Conference on Computers and Their Applications 2015年3月 475-480 63. Masato Okada et al. Docking Score Calculation Using Machine Learning with an Enhanced Inhibitor Database Journal of Medical Imaging and Health Informatics 2015年9月 Vol. 5, No. 5, 1104-1107 64. Atsushi Matsumoto et al. Automated Discovery of Compounds Related to the Plant Immunity Activation by a Logic-based Machine Learning Proc. of the 6th International Conference on Computational Systems-Biology and Bioinformatics 2015年11月 332-336 65. Tadasuke Ito et al. In Silico Screening of Zinc(II) Enzyme Inhibitors by SVM Proc of the 6th International Conference on Computational Systems-Biology and Bioinformatics 2015年11月 22-26 66. Atsushi Matsumoto et al. Prediction of radioprotectors targeting p53 for suppression of acute effect of cancer radiotherapy using machine learning Proc. of the 2015 IEEE International Conference on Bioinformatics and Biomedicine 2015年11月 1725-1727 67. Heri Kuswanto et al. Logistic Regression Ensemble for Predicting Customer Defection with Very Large Sample Size Procedia Computer Science 2015年12月 Vol. 72, 86-93 68. Hiroyuki Nishiyama, Yusuke Saito and Hayato Ohwada Design of a User Support System for Drivers based on Status Monitoring using Depth Sensor and Smart Phone Proc. of the 16th Asia Pacific Industrial Engineering and Management Systems Conference, 2015年12月 2080-2084 69. Katsumi Inoue, Hayato Ohwada, Akihiro Yamamoto Inductive Logic Programming: Challenges Proc. of the 30th AAAI Conference on Artificial Intelligence 2016年2月 4330-4332 70. Yu Ohya, Katsutoshi Kanamori and Hayato Ohwada Recursive Ensemble Land Cover Classification with Little Training Data and Many Classes Lecture Notes in Artificial Intelligence, Springer 2016年3月 No. 9621, 521-531 71. Sho Ushikubo, Katsutoshi Kanamori and Hayato Ohwada Extracting Lifestyle Rules for Reduction of Body Fat Mass Using Inductive Logic Programming International Journal of Machine Learning and Computing 2016年3月 Vol. 6, No. 2, 101-104 72. Atsushi Matsumoto, Shin Aoki and Hayato Ohwada Comparison of Random Forest and SVM for Raw Data in Drug Discovery: Prediction of Radiation Protection and Toxicity Case Study International Journal of Machine Learning and Computing 2016年4月 Vol. 6, No. 2, 145-158 73. Sho Ushikubo, Katsutoshi Kanamori and Hayato Ohwada Extracting Rules for Decreasing Body Fat Mass Using Various Classifiers from Daily Lifestyle Habits Data International Journal of Software Science and Computational Intelligence 2016年7月 Vol. 8, No. 3, 54-70 74. Atsushi Matsumoto et al. Extracting the Common Structure of Compounds to Induce Plant Immunity Activation using ILP Proc. of the Late Breaking Papers of the 25th International Conference on Inductive Logic Programming 2016年7月 No. 1636, 69-78 75. Fumio Mizoguchi et al. Extracting rules to detect cognitive distractions through driving simulation Proc. of the Late Breaking Papers of the 25th International Conference on Inductive Logic Programming 2016年7月 No. 1636, 79-85 76. Hiroyuki Nishiyama and Hayato Ohwada Yet Another Parallel Hypothesis Search for Inverse Entailment Proc. of the Late Breaking Papers of the 25th International Conference on Inductive Logic Programming 2016年7月 No. 1636, 86-94 77. Sho Ushikubo, Katsutoshi Kanamori and Hayato Ohwada Extracting Time-oriented Relationships of Nutrients to Losing Body Fat Mass using Inductive Logic Programming Proc. of the IEEE 15th International Conference on Cognitive Informatics and Cognitive Computing 2016年8月 226-230 78. Niken Martono, Takahiro Yamaguchi and Hayato Ohwada Utilizing Finger Movement Data to Cluster Patients with Everyday Action Impairment Proc. of the IEEE 15th International Conference on Cognitive Informatics and Cognitive Computing 2016年8月 459-464 79. Kazutaka Nishiwaki, Katsutoshi Kanamori and Hayato Ohwada Finding a Disease-Related Gene from Microarray Data using Random Forest Proc. of the IEEE 15th International Conference on Cognitive Informatics and Cognitive Computing 2016年8月 542-546 80. Ratna Hidayati et al. Combining Feature Selection with Decision Tree Criteria and Neural Network for Corporate Value Classification Lecture Notes in Computer Science, Springer 2016年8月 No. 9806, 31-42 81. Ratna Hidayati et al. Various Classifiers to Investigate the Relationship Between CSR Activities and Corporate Value Lecture Notes in Computer Science, Springer 2016年8月 No. 9799, 23-39 82. Ratna Hidayati et al. Implementing Majority Voting Rule to Classify Corporate Value Based on Environmental Efforts Lecture Notes in Computer Science, Springer 2016年6月 No. 9714, 59-66 83. Atsushi Matsumoto et al. Logic Based Pattern Extraction from Human Behavior Proc. of the International Symposium on Semiconductor Manufacturing Intelligence 2016年8月 Vol. 38, 1-6 84. Hiroyuki Nishiyama, Yusuke Saito and Hayato Ohwada Machine Learning to Detect Drowsy Driving by Inductive Logic Programming using a 3D Camera Proc. of the International Symposium on Semiconductor Manufacturing Intelligence 2016年8月 Vol. 42, 1-6 85. Niken Martono et al. Clustering Finger Motion Data from Virtual Reality-Based Training to Analyze Patients with Mild Cognitive Impairment International Journal of Software Science and Computational Intelligence 2016年10月 Vol. 8, No. 4, 29-42 86. Hiromu Ide, Masakazu Umezawa, Hayato Ohwada Function Prediction of Disease-Related Long Intergenic Non-Coding RNA Using Random Forest Proc. of the 7th International Conference on Computational Systems-Biology and Bioinformatics 2016年12月 58-62 87. Takahiro Koiwa, Kazutaka Nishiwaki and Hayato Ohwada Finding Unknown Disease-Related Genes by Comparing Random Forest Results to Secondary Data in Medical Science Study Proc. of the 7th International Conference on Computational Systems-Biology and Bioinformatics 2016年12月 24-27 88. Yuki Kubota et al. Feature Extraction based on Touch Interaction Data in Virtual Reality-based IADL for Characterization of Mild Cognitive Impairment Proc. of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications 2017年2月 Vol. 2, 152-157 89. Atsushi Matsumoto, Chikara Kubota and Hayato Ohwada Extracting Rules for Successful Conditions for Artificial Insemination in Dairy Cattle Using Inductive Logic Programming Proc. of the 9th International Conference on Machine Learning and Computing 2017年2月 6-10 90. Kanau Mitsuzuka, Feng Ling and Hayato Ohwada Analysis of CSR activities Affecting Corporate Value Using Machine Learning Proc. of the 9th International Conference on Machine Learning and Computing 2017年2月 11-14 91. Sho Ushikubo, Chikara Kubota and Hayato Ohwada The Early Detection of Subclinical Ketosis in Dairy Cows Using Machine Learning Methods Proc. of the 9th International Conference on Machine Learning and Computing 2017年2月 38-42 92. Kazutaka Nishiwaki, Katsutoshi Kanamori and Hayato Ohwada Gene Selection from Microarray Data for Alzheimer's Disease Using Random Forest International Journal of Software Science and Computational Intelligence 2017年4月 Vol. 9, No.2, 14-30 93. Kazutaka Nishiwaki et al. Detecting Small Bowel Strangulation using Circulating Cell-Free DNA with Machine Learning International Journal of Machine Learning and Computing 2017年6月 Vol. 7, No. 3, 35-39 94. Keisuke Abe et al. Discovering Rules of Subtle Deficits Indicating Mild Cognitive Impairment Using Inductive Logic Programming Lecture Notes in Computer Science, Springer 2017年8月 Vol. 10274, 331-340 95. Yu-Chen Chen et al. Building a Classifier of Onset Stroke Prediction Using Random Tree Algorithm International Journal of Machine Learning and Computing 2017年8月 Vol. 7, No. 4, 61-66 96. Niken Martono et al. Generating Rules of Action Transition in Errors in Daily Activities from a Virtual Reality-Based Training Data Lecture Notes in Computer Science, Springer 2017年8月 Vol. 10274, 166-175 97. Niken Martono, Takahiko Yamaguchi and Hayato Ohwada Early diagnosis of mild cognitive impairment: A case study in approaches to inductive-logic programming Proc. of IEEE 16th International Conference on Cognitive Informatics & Cognitive Computing 2017年8月 262-267 98. Heri Kuswanto, Yogi Sarumaha and Hayato Ohwada Comparison Between Selective Sampling and Random Undersampling for Classification of Customer Defection Using Support Vector Machine Journal of Computer Science 2017年10月 355-362 99. Krisanarach Nitisiri, Mitsuo Gen and Hayato Ohwada Hybrid Genetic Algorithm for Railway Train Scheduling Proc. of 47th International Conference on Computers & Industrial Engineering 2017年10月 Vol. 1, 1304-1311 100. Katsumi Inoue, Hayato Ohwada and Akihiro Yamamoto Special issue on inductive logic programming Machine Learning 2017年12月 Vol. 106, No. 12, 1863-1865 101. Takahiro Koiwa and Hayato Ohwada Extraction of disease-related genes from PubMed paper using word2vec Proc. of the 8th International Conference on Computational Systems-Biology and Bioinformatics 2017年12月 46-49 102. Hiromu Ide, Masakazu Umezawa and Hayato Ohwada Proposal of application method of Inductive Logic Programming to microarray data Proc. of the 8th International Conference on Computational Systems-Biology and Bioinformatics 2017年12月 50-55 103. Niken Martono et al. An Analysis of Motion Transition in Subtle Errors using Inductive Logic Programming: A Case Study in Approaches to Mild Cognitive Impairment International Journal of Software Science and Computational Intelligence 2018年1月 Vol. 10, No. 2, 27-37 104. Heri Kuswanto et al. Enzyme Classification on DUD-E Database Using Logistic Regression Ensemble (Lorens) Innovative Computing, Optimization and Its Applications. Studies in Computational Intelligence 2018年1月 Vol. 741, 93-109 105. Yuya Uekado, Hayato Ohwada and Masaaki Suzuki Churn Prediction Using Text Mining for Job Search Sites Proc. of the 33rd International Conference on Computers and Their Applications 2018年3月 145-150 106. Hiroki Karasawa, Chien-Liang Liu and Hayato Ohwada Deep 3D Convolutional Neural Network Architectures for Alzheimer’s Disease Diagnosis Lecture Notes in Computer Science, Springer 2018年3月 No. 10751, 287-296 107. Hiroyuki Nishiyama and Hayato Ohwada Parallel Inductive Logic Programming System for Superlinear Speedup Lecture Notes in Artificial Intelligence, Springer 2018年3月 No. 10759, 112-123 108. Yusuke Ono, Hayato Ohwada and Hiroyuki Nishiyama Status Discrimination of Dairy Cows using Activity Meter and Machine Learning Proc. of the 33rd International Conference on Computers and Their Applications 2018年3月 15-20 109. Masahiro Shigeta et al. Automatic Measurement and Determination of Body Condition Score of Cows Based on 3D Images Using CNN Journal of Robotics and Mechatronics 2018年4月 Vol. 30, No. 2, 206-213 110. Haruka Motohashi et al. Ranking Methods of Candidates for p53 Inhibitor Considering Cytotoxicity Using Machine Learning The 9th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics 2018年8月 521-521 111. Min-Wei Hsieh, Hayato Ohwada and Sheng-I Chen Practical Feature Selection for Lung Cancer Gene Detection The 9th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics 2018年8月 522-522 112. Kazuya Uekado et al. Classification of CSR Using Latent Dirichlet Allocation and Analysis of the Relationship Between CSR and Corporate Value Lecture Notes in Artificial Intelligence, Springer 2018年8月 No. 11016, 261-270 113. Heri Kuswanto, Renny Yunia Nurhidayah and Hayato Ohwada Comparison of Feature Selection Methods to Classify Inhibitors in DUD-E Database Procedia Computer Science 2018年10月 Vol. 144, 194-202 114. Haruka Motohashi et al. Regression Models and Ranking Method for p53 Inhibitor Candidates Using Machine Learning 2018 IEEE International Conference on Bioinformatics and Biomedicine 2018年11月 708-712 115. Tatsuki Hirozawa, Takeshi Yamada and Hayato Ohwada New Survival Prediction System for Terminal Patients based on Machine Learning 2018 IEEE International Conference on Bioinformatics and Biomedicine 2018年11月 2756-2758 116. Masaaki Suzuki et al. Classification Model for Cerebral Aneurysm Rupture Prediction using Medical and Blood-flow-simulation Data Proc. of the 11th International Conference on Agents and Artificial Intelligence 2019年2月 895-899 117. Krisanarach Nitisiri, Mitsuo Gen and Hayato Ohwada A parallel multi-objective genetic algorithm with learning based mutation for railway scheduling Computers & Industrial Engineering 2019年2月 Vol. 130, 381-394 118. Yusuke Ono et al. Predicting Cow's Delivery Using Movement and Position Data Based on Machine Learning Proc. of the 34th International Conference on Computers and Their Applications 2019年3月 Vol. 58, 310-316 119. Heri Kuswanto, Rizky Mubarok and Hayato Ohwada Classification Using Naive Bayes to Predict Radiation Protection in Cancer Drug Discovery: a Case of Mixture Based Grouped Data International Journal of Artificial Intelligence 2019年3月 Vol. 17, No. 1, 186-203 120. Heri Kuswanto, Erlin Sukmaputri and Hayato Ohwada Ensemble based machine learning for optimizing toxicity in cancer drug discovery ICIC Express Letters 2019年8月 Vol. 13, No. 8, 697-703 121. Shun Sasaki et al. Estimating Productivity of Dairy Cows by Inductive Logic Programming Proc. of the 29th International Conference on Inductive Logic Programming 2019年9月 3-5 122. Toshiyuki Haruhara et al. Predicting Cerebral Aneurysm Rupture by Gradient Boosting Decision Tree using Clinical, Hemodynamic,and Morphological Information EPiC Series in Computing 2020年3月 Vol. 69, 180-186 123. eri Kuswanto et al. Modelling the change of white blood cell on colorectal cancer treatment using probit regression Electronic Journal of Applied Statistical Analysis 2020年5月 Vol. 13, No. 1, 75-85 124. Mitsuo Gen et al. Advances in Hybrid Genetic Algorithms with Learning and GPU for Scheduling Problems: Brief Survey and Case Study Proc. of the Fourteenth International Conference on Management Science and Engineering Management 2020年6月 322-339 125. Haruka Motohashi, Hayato Ohwada and Chikara Kubota Early detection method for subclinical mastitis in auto milking systems using machine learning Proc. of the 2020 IEEE 19th International Conference on Cognitive Informatics & Cognitive Computing 2020年9月 76-83 126. Yoshinobu Miya et al. A Preliminary Study on Reaching Position Estimation Model for the Subtle Action Disruption Proc. of 22nd HCI International Conference 2020年9月 670-678 127. Yasuhiro Iwashita et al. Discriminative Model for Identifying Motion Primitives Based on Virtual Reality-Based IADL Proc. of 22nd HCI International Conference 2020年9月 574-585 128. Mitsuo Gen, L. Lin and Hayato Ohwada Advances in Hybrid Evolutionary Algorithms for Fuzzy Flexible Job-shop Scheduling: State-of-the-Art Survey Proc. of the 13th International Conference on Agents and Artificial Intelligence 2021年2月 562-573 129. Hirofumi Obinata et al. Indicators of Acute Kidney Injury as Biomarkers to Differentiate Heatstroke from Coronavirus Disease 2019: A Retrospective Multicenter Analysis Journal of Nippon Medical School 2021年3月 Vol. 88, No. 1, 80-86 130. Hikaru Gyoji et al. Statistical Analysis of Micro-error Occurrence Probability for the Fitts' Law-Based Pointing Task Proc. of the 21st HCI International Conference 2021年6月 317-329 131. Aya Fukuizumi et al. CADM1 and SPC25 Gene Mutations in Lung Cancer Patients With Idiopathic Pulmonary Fibrosis JTO Clinical and Research Reports 2021年10月 Vol. 2, No. 11, ID:100232 132. Takanobu Otaguro et al. Machine Learning for Prediction of Successful Extubation of Mechanical Ventilated Patients in an Intensive Care Unit: A Retrospective Observational Study Journal of Nippon Medical School 2021年10月 Vol. 88, No. 5, 408-417 133. Tom Uchino and Hayato Ohwada Individual Identification Model and Method for Estimating Social Rank among Herd of Dairy Cows using YOLOv Proc. of the 2021 IEEE 20th International Conference on Cognitive Informatics & Cognitive Computing 2021年10月 235-241 134. Yutaka Igarashi et al. Machine Learning Prediction for Supplemental Oxygen Requirement in Patients with COVID-19 Journal of Nippon Medical School 2022年4月 Vol. 89, No. 2, 161-168 135. Haruka Motohashi and Hayato Ohwada Interpretable Rules Using Inductive Logic Programming Explaining Machine Learning Models: Case Study of Subclinical Mastitis Detection for Dairy Cows Advances in Science, Technology and Engineering Systems Journal 2022年4月 Vol. 7, No. 2, 143-148 136. Niken Prasasti Martono, Toru Nishiguchi and Hayato Ohwada ECG Signal Classification Using Recurrence Plot-Based Approach and Deep Learning for Arrhythmia Prediction Lecture Notes in Computer Science, Springer 2022年12月 Vol. 13758, 327-335 137. Niken Prasasti Martono and Hayato Ohwada Financial Distress Model Prediction Using Machine Learning: A Case Study on Indonesia’s Consumers Cyclical Companies International Workshops of ECML PKDD 2022 2023年1月 Vol. 1753, 53-61 138. Tomohide Sawada et al. Efficient Estimation of Cow’s Location Using Machine Learning Based on Sensor Data Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2023年3月 Vol. 477, 86-94 139. Niken Prasasti Martono, Toru Nishiguchi and Hayato Ohwada Interpreting Arrhythmia Classification Using Deep Neural Network and CAM-Based Approach Proc. of the 2022 6th International Conference on Computational Biology and Bioinformatics 2023年7月 35-40 140. Tom Uchino et al. Advancements in Precision Agriculture for Foaling with Automated Water Break Detection using Image Recognition Technology International Journal of Agriculture and Biology 2023年11月 Vol. 30, No. 5, 342-348 141. Niken Prasasti Martono et al. Automated Cattle Behavior Classification Using Wearable Sensors and Machine Learning Approach Lecture Notes in Computer Science, Springer 2023年11月 Vol. 14317, 58-69 142. Masayuki Kogoshi et al. Novel in silico screening system for plant defense activators using deep learning-based prediction of reactive oxygen species accumulation Plant Methods 2023年12月 Vol. 19, No. 142, 143. Niken Prasasti Martono et al. Blood Alcohol Concentration Screening at Emergency Room: Designing a Classification Model Using Machine Learning 2023 14th International Conference on Information & Communication Technology and System 2023年12月 255-260 144. Niken Prasasti Martono et al. Deep Learning-Based Indoor Localization Using Wireless Sensor Network: An Efficient Approach for Livestock Monitoring Vietnam Journal of Computer Science 2024年4月 Vol. 11, No. 3, 447-463 145. Toshiki Koshiba et al. Optimizing Coil Selection for Cerebral Aneurysm Treatment Using PyRadiomics and Machine Learning Models Annu Int Conf IEEE Eng Med Biol Soc 2024年7月 ID: 6379 146. Niken Prasasti Martono and Hayato Ohwada Agent-Based Modeling of Vaccine Hesitancy: Exploring the Role of Trust, Policy, and Socioeconomic Factors Lecture Notes in Networks and Systems, Springer 2024年8月 No. 1066, 253-266 147. Niken Prasasti Martono and Hayato Ohwada Evaluating the Impact of Windowing Techniques on Fourier Transform-Preprocessed Signals for Deep Learning-Based ECG Classification Hearts 2024年10月 Vol. 5, No. 4, 501-515 148. Toshiki Koshiba et al. Predicting Protein Interactions with BteA in Bordetella pertussis Pathogenesis Using Machine Learning Proc. of the 8th International Conference on Computational Biology and Bioinformatics 2025年6月 42-47 149. Shuzo Kitano et al. Precision 3D Motion Capture Using Pose Estimation Techniques: Application in Sports Video Analysis Lecture Notes in Computer Science, Springer 2024年11月 214-225 150. Hiroaki Shiotsu et al. Applicability of Machine Learning to Improve Mastitis Prediction in Livestock Proc. of 2024 IEEE International Conference on Industrial Engineering and Engineering Management 2024年12月 1149-1153 151. Ryota Tsukamoto et al. Optimized Dairy Cow Identification and Tracking with PTZ Camera Technology Proc. of 2024 IEEE International Conference on Industrial Engineering and Engineering Management 2024年12月 571-575 152. Takumi Kawauchi et al. Application of Machine Learning in Preoperative Prediction of Coil Preference in Cerebral Aneurysm Treatment Proc. of the 30th International Symposium on Artificial Life and Robotics 2025年1月 284-289 153. Niken Prasasti Martono and Hayato Ohwada Learning Programming for Non-Native English-Speaking Students: Insight from Japanese Students Proc. of the 56th ACM Technical Symposium on Computer Science Education 2025年2月 1539-1540 154. Niken Prasasti Martono and Hayato Ohwada A Framework for Supporting Non-Native English Speakers in Programming Education Proc. of the 13th International Conference on Information and Education Technology 2025年4月 209-213 155. Yamato Matsuo et al. Development of an Optimal Flow Diverter Stent Prediction Model Based on Parent Artery Morphology Analysis Proc. of the IEEE Engineering in Medicine and Biology Society Annual International Conference 2025年7月 1-4 156. Niken Prasasti Martono Improving Vancomycin Trough Level Prediction with Machine Learning: A Comparative Study of Feature Selection and Model Performance Proc. of the 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2025年7月 1-4 157. Niken Prasasti Martono et al. A Comparative Study of Deep Learning Models for In-House Cattles’ Behavior Prediction Lecture Notes in Networks and Systems 2025月8月 419-432 158. Hiroki Takabatake Domain-Specific Retrieval for Retrieval-Augmented Generation: A Case Study on Pertussis Research Proc. of the AAAI Conference on Artificial Intelligence 2026年1月 41403-41405 159. Niken Prasasti Martono, Ryota Tsukamoto and Hayato Ohwada An Internet of Things Approach to Vision-Based Livestock Monitoring: PTZ Cameras for Dairy Cow Identification Telecom 2025年11月 Vol. 6, No. 4, 82 160. Shoichiro Imanishi et al. Preliminary Study on Video and Machine Learning-Based Power Estimation in Road Cycling Proc. of 15th International Conference on Information & Communication Technology and System 2025年11月 1-6 161. Akimasa Ebihara et al. Feasibility of RGB-Camera-Based 3D Ground Reaction Force Prediction using Pose Estimation Proc. of 15th International Conference on Information & Communication Technology and System 2025年11月 1-6 162. Koyo Uratani et al. Non-Invasive Foaling Prediction in Horses Using Pose Estimation and Machine Learning Proc. of 15th International Conference on Information & Communication Technology and System 2025年11月 1-6 163. Soichiro Fujimura et al. Development and Validation of a Prediction Model for Intracranial Aneurysm Rupture Risk JAMA Network Open 2025年12月 Vol. 8, No. 1, e25507722,
研究論文（和文）	1. 大和田、溝口定性的シミュレーションに基づく診断システムの構築法人工知能学会誌 1988年9月 3巻5号87-96 2. 大和田、溝口不確実性を伴う証拠推論の計算方式コンピュータソフトウェア 1991年7月 8巻4号321-333 3. 大和田、溝口制約プログラミングによる部分制約伝播機構コンピュータソフトウェア 1993年1月 10巻4号52-65 4. 平石、大和田、溝口実用的な経路計画のための時間制限つきヒューリスティック探索法情報処理学会論文誌 1999年4月 40巻11号4021-4029 5. 大和田、溝口 WWW情報の構造視覚化と検索機能の統合人工知能学会誌 2000年8月 15巻4号547-556 6. 西山　他ロボット間協調を容易に実現する並列論理型プログラミング言語の設計日本ロボット学会誌 2001年7月 19巻5号620-631 7. 千葉、大和田、溝口帰納論理プログラミングを用いたグラフィックデザイン知識の獲得人工知能学会誌 2001年11月 16巻1号156-163 8. 大谷、大和田共生進化に基づく帰納論理プログラミングの予測精度の向上人工知能学会誌 2002年11月 17巻4号431-438 9. 瀬下　他 Multi-Domain HMMsearch: マルチドメインを持つ遠縁なタンパク質のための相同性検索ツール情報科学技術レターズ 2006年9月 6巻153-156 10. 植松　他文単位転置インデックスによる近接検索手法日本データベース学会 Letters 2008年3月 6巻4号21-24 11. 永倉、小島、大和田擬似回転錯視を誘発する画像特徴合成動画作成システムの構築土木情報利用技術論文集 2010年10月 19巻201-212 12. 土田　他単語分布類似度を用いた類推による単語間の意味的関係獲得法情報処理学会論文誌 2011年4月 52巻4号116-120 13. 広田　他画像特徴複数合成強調・判読支援動画作成アルゴリズムの構築とその実用化への一提案土木学会論文集 2012年3月 116-120 14. 岡田　他ドッキングシミュレーション結果と化合物情報の学習による化合物の結合判別情報科学技術フォーラム, 2012年8月 11巻73-78 15. 岡田　他機械学習による創薬支援のための高精度バーチャルスクリーニング法の開発人工知能学会誌 2014年1月 29巻1号194-200 16. 西本　他高齢者の内食メニューにおけるCO2排出量と塩分との関係日本LCA学会誌 2014年10月 10巻4号464-478 17. 広田　他コンクリート表面のひび割れ・リアルタイム点検支援システムの拡充と現場適用効果土木学会論文集 2016年3月 71巻2号1_66-1_77 18. 大和田、マルトノ画像解析による乳牛の飼養管理映像情報メディア学会誌, 2024年11月 78巻6号608-613
科学研究費	1. 平成5年 80万円その他多ソ-ト帰納学習システムの設計と応用 2. 平成6年 80万円その他制約プログラミング言語による統合ロボットプログラミング 3. 平成7年 80万円その他制約プログラミングによる幾何学制約充足問題の一般的解法の研究 4. 平成8年 100万円その他逐次型帰納学習法の開発とそのレイアウト問題への応用 5. 平成9年～平成10年 240万円その他帰納学習を利用した医用画像データの自動分類 6. 平成14年～16年 360万円基盤研究（C）スケーラブルで高性能な帰納論理プログラミングシステムの開発 7. 平成18年～20年 360万円基盤研究（C） ILPに基づくたんぱく質一次構造からのフォールド予測 8. 平成24年～26年 380万円基盤研究（C）がん創薬を支援するバーチャルランダムスクリーニング法の開発 9. 平成27年～29年 330万円基盤研究（C）リガンドデータベースからの機械学習によるハイブリッドスクリーニング法の開発 10. 平成30年～令和2年 1,220万円基盤研究（B）乳牛個体間の社会的順位による発情発見アルゴリズムの開発 11. 令和3年～5年 1,330万円基盤研究（B）犬腫瘍トランスクリプトームの人工知能解析による病態関連因子の探索と臨床応用 12. 令和4年～6年 300万円基盤研究（C）機械学習によるCOVID-19のクラスタリングと個別化医療に向けた探索的研究
共同研究・受託研究等	1. 平成28年～令和2年 9億4,338万円その他次世代型ロボットによる視覚･体内から捉える飼養管理高度化システムの開発 2. 平成29年～31年１,052万円その他中山間地域の和牛放牧等を利用した耕畜複合による収益向上と、それを支える乳肉共用経営による総合的なシステムの構築 3. 平成29年～31年 1,200万円その他動線解析技術を活用した分娩監視および健康管理システムの開発 4. 平成30年～令和4年 9,225万円その他人工知能による脳卒中予防システムの開発・実用化 5. 令和2年 254万円企業受託令和２年度酪農における飼養管理改善対策事業のうち牛群検定デ－タ情報提供のための解析 6. 令和2年 4,850万円その他オールICTシステムファームにおける労働力不足解消技術体系の実証 7. 令和2年 925万円その他共同型スマートCBSによる地域一体となった労働力不足解消技術体系の実証 8. 令和3年 254万円企業受託令和３年度酪農における飼養管理改善対策事業のうち牛群検定デ－タ情報提供のための解析 9. 令和3年 199万円企業受託令和３年度家族経営における畜産ＤＸ推進事業のうち畜産ＤＸ技術の開発と改善に対する提案と技術検証事業 10. 令和3年 159万円企業受託令和３年度国産畜産物安心確保等支援事業 11. 令和4年 254万円企業受託令和４年度酪農における飼養管理改善対策事業のうち牛群検定デ－タ情報提供のための解析 12. 令和4年 264万円企業受託令和４年度家族経営における畜産ＤＸ推進事業のうち畜産ＤＸ技術の開発と改善に対する提案と技術検証事業 13. 令和4年 159万円企業受託令和４年度国産畜産物安心確保等支援事業 14. 令和5年 264万円企業受託令和５年度家族経営における畜産ＤＸ推進事業のうち畜産ＤＸ技術の開発と改善に対する提案と技術検証事業 15. 平成27年 150万円企業共同行動分析・活動解析に基づく活動量計データのビジネス応用に関する共同研究 16. 平成27年 150万円企業共同顔情報からの居眠りパターンの抽出 17. 平成28年 100万円企業共同行動ログデータを用いたユーザー分析 18. 平成29年～30年 300万円企業共同コンベヤベルト蛇行調整へのAI技術活用に関する研究 19. 平成29年 350万円企業共同 AIテクノロジーを活用したメディア及びシステム開発 20. 平成30年 350万円企業共同 AIテクノロジーを活用したニュース記事自動要約、動画ダイジェスト自動生成、大喜利応答のメディア及びシステム開発 21. 平成30年～令和4年 750万円企業共同機械学習による設計文書レビューの試行 22. 平成30年～令和2年 1,497万円その他画像認識技術の活用による馬の非侵襲的分娩予測技術の開発事業 23. 令和元年 350万円企業共同 AIテクノロジーを活用したニュース記事自動要約、動画ダイジェスト自動生成、大喜利応答などのメディア及びシステム開発 24. 令和2年 300万円企業共同 AIテクノロジーを活用したニュース記事自動要約、動画ダイジェスト自動生成、C-POT付加価値化などのメディア及びシステム開発 25. 令和3年 300万円企業共同 AIテクノロジーを活用した小学生新聞自動生成、動画ダイジェスト自動生成、川柳自動生成、コンテキスチュアルターゲティングなどのメディア及びシステム開発 26. 令和4年 300万円企業共同 AIテクノロジーを活用した小学生新聞自動生成、コンテキスチュアルターゲティング、ドラマあらすじテキスト生成、ドラマジャンル可視化、MDAMハッカソンなどのメディア及びシステム開発 27. 令和4年～5年 300万円企業共同機器運用の効率化のためのデータ解析 28. 令和5年 300万円企業共同 AIテクノロジーを活用した小学生新聞自動生成、目的特化型LLMの構築、コンテキスチュアルターゲティング、テレビドラマ統合解析システム、メディア＆コンテンツハッカソンなどのメディア及びシステム開発 29. 令和5年～6年 1,071万円その他受胎率予測による乳牛繫殖管理技術開発事業
学会・職能団体の委員	1. 2007～2011 日本ソフトウェア科学会理事 2. 2011～2015 人工知能学会理事
公開講座・講演会等	1. 2019 第125回日本畜産学会大会公開シンポジウム基調講演畜産ビックデータの処理・活用による新しい畜産生産管理システムの展望日本畜産学会麻布大学 2019年3月28日 2. 2019 第58回日本鼻科学会総会・学術講演会招待講演ＡＩ，ロボットと医療倫理日本鼻科学会日本医科大学 2019年10月3日

Profile

Papers	1. 1988 Hayato Ohwada and Fumio Miizoguchi Managing Search in Parallel Logic Programming Lecture Notes in Computer Science, Springer-Verlag 1988年6月 No. 315, 148-177 2. 1988 Hayato Ohwada and Fumio Mizoguchi An Examination of Applicability of FGHC: The Experience of Designing Qualitative Reasoning System Proc. of the International Conference on Fifth Generation Computer Systems, Ohmsha Publishers 1988年11月 1193-1200 3. 1990 Hayato Ohwada and Fumio Mizoguchi A Constraint Logic Programming Approach for Maintaining Consistency in User-Interface Design Proc. of the North American Conference on Logic Programming, The MIT Press 1990年1月 139-153 4. 1990 Hayato Ohwada and Fumio Mizoguchi Use of Contraint Logic Programming for Making Qualitative Reasoning More Powerful Proc. of Pacific Rim International Conference on Artificial Intelligence, Ohmsha Publishers 1990年1月 705-710 5. 1991 Fumio Mizoguchi and Hayato Ohwada A Contraint-oriented Decision Support System for Option-based Investment Strategies Proc. of the First International Conference on Artificial Intelligence Applications on Wall Street, IEEE Computer Society Press 1991年10月 146-151 6. 1993 Hayato Ohwada and Fumio Mizoguchi A Computational Method for Evidential Reasoning with Uncertain Information Advances in Software Science and Technology, Academic Press 1993年4月 63-86 7. 1995 Fumio Mizoguchi and Hayato Ohwada Using Inductive Logic Programming for Constrain Acquisition in Contraint-based Problem Solving Proc. of the 5th International Workshop on Inductive Logic Programming 1995年1月 297-322 8. 1995 Fumio Mizoguchi and Hayato Ohwada Using Constraint Programming to Design an Option-based Decision Support System Journal of Intelligent Systems in Accounting, Finance and Management 1995年3月 Vol.4,13-26 9. 1995 Fumio Mizoguchi and Hayato Ohwada Constrained Relative Least General Generalization for Inducing Constraint Logic Programs New Generation Computing, 1995年12月 Vol.3, No. 304, 335-368 10. 1997 Fumio Mizoguchi, Hayato Ohwada et al. Learning Rules that Classify Ocular Fundus Images for Glaucoma Diagnosis Lecture Notes in Artificial Intelligence, Springer-Verlag 1997年8月 No. 1314, 146-159 11. 1998 Hironori Hiraishi, Hayato Ohwada and Fumio Mizoguchi Web-based Communication and Control for Multiagent Robots Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems, IEEE Computer Society Press 1998年1月 120-125 12. 1998 Hiroyuki Nishiyama, Hayato Ohwada and Fumio Mizoguchi Logic Specifications for Multiple Robots based on Current Programming Languages Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems, IEEE Computer Society Press 1998年1月 286-291 13. 1998 Hiroshi Sawai, Hayato Ohwada and Fumio Mizoguchi Incorporating a Navigation Tool into a Browser for minig WWW information Proc. of 5th Pacific Rim International Conference on Artificial Intelligence 1998年1月 No. 1532, 453-454 14. 1998 Hayato Ohwada et al. Learning First-order Rules from Image Applied to Glaucoma Diagnosis Lecture Notes in Artificial Intelligence, Springer-Verlag, 1998年11月 No. 1531, 494-505 15. 1998 Hironori Hiraishi, Hayato Ohwada and Fumio Mizoguchi Time Constrained Heuristic Search for Practical Route Finding Lecture Notes in Artificial Intelligence, Springer-Verlag 1998年11月 No. 1531, 389-398 16. 1998 Hiruyuki Nishiyama, Hayato Ohwada and Fumio Mizoguchi Towards Agent-oriented Smart Office based on Concurrent Logic Languages Lecture Notes in Artificial Intelligence, Springer-Verlag 1998年11月 No. 1531, 59-70 17. 1999 Hironori Hiraishi, Hayato Ohwada and Fumio Mizoguchi Intercommunicating Car Navigation System with Dynamic Route Finding Proc. of IEEE/IEEJ/JSAI International Conference on Intelligent Transportation Systems 1999年4月 284-289 18. 1999 Fumio Mizoguchi, Hayato Ohwada et al. Collaboration between robotic agents at the smart office Proc. of the Third Annual Conference on Autonomous Agents 1999年5月 362-363 19. 1999 Kazuya Chiba, Hayato Ohwada and Fumio Mizoguchi Acquiring Graphic Design Knowledge with Nonmonotonic Inductive Learning Lecture Notes in Computer Science, Springer-Verlag 1999年7月 No. 1634, 56-67 20. 1999 Fumio Mizoguchi, et al. Smart Office Robot Collaboration based on Multi-agent Programming Artificial Intelligence 1999年11月 Vol. 114, 57-94 21. 1999 Hayato Ohwada and Fumio Mizoguchi Parallel Execution for Speeding Up Inductive Logic Programming Systems Lecture Notes in Artificial Intelligence, Springer-Verlag 1999年12月 No. 1721, 277-286 22. 2000 Fumio Mizoguchi and Hayato Ohwada Personalized Mail Agent Using Inductive Learning Machine Intelligence 2000年1月 Vol. 15, 154-175 23. 2000 Hayato Ohwada et al. Concurrent Execution of Optimal Hypothesis Search for Inverse Entailment Lecture Notes in Artificial Intelligence, Springer-Verlag 2000年7月 No. 1866, 165-173 24. 2001 Hayato Ohwada and Fumio Mizoguchi Integrating Information Visualization and Retrieval for Discovering Internet Sources Lecture Notes in Computer Science, Springer-Verlag 2001年10月 No. 1967, 38-49 25. 2003 Hayato Ohwada and Fumio Mizoguchi Integrating Information Visualization and Retrieval for Information Discovery Theoretical Computer Science 2003年1月 Vol. 292, 547-571 26. 2005 Yoko Ino et al. Extracting common concepts from wordnet to classity documents Proc. of the IASTED International Conference on Artificial Intelligence and Applications 2005年2月 656-661 27. 2005 Masaki Yokoyama et al. Detecting errors in POS-tagging using ILP Proc. of the 15th International Conference on Inductive Logic Programming 2005年8月 75-80 28. 2005 Masaki Yokoyama et al. Detecting and revising misclassifications using ILP Lecture Notes in Artificial Intelligence, Springer 2005年10月 No. 3735, 362-438 29. 2006 Atsushi Yamazaki et al. Using ILP for constructing process network in dies production Proc. of the 16th International Conference on Inductive Logic Programming 2006年8月 228-230 30. 2008 Yukio Uematsu et al. Proximity Scoring Using Sentence-Based Inverted Index for Practical Full-Text Search Lecture Notes in Computer Science, Springer 2008年9月 No. 5173, 308-319 31. 2009 Tetsuya Tsukamoto et al. ItemSpider: Social Networking Service that Extracts Personal Character from Individual's Book Information Lecture Notes in Computer Science, Springer-Verlag 2009年8月 No. 5465, 161-172 32. 2010 Tsuyoshi Yoshida and Hayato Ohwada Shill Bidder Detection for Online Auctions Lecture Notes in Computer Science, Springer 2010年8月 No. 6230, 351-358 33. 2010 Masaaki Tsujida et al. Large Scale Similarity-based Relation Expansion Proc. of 4th International Universal Communication Symposium 2010年10月 140-147 34. 2011 Masaaki Tsuchida et al. Toward Finding Semantic Relations not Written in a Single Sentence: An Integration Method using Auto-Discovered Rules Proc. of the 5th International Joint Conference on Natural Language Processing 2011年11月 116-120 35. 2012 Masato Okada, Keishi Takiguchi and Hayato Ohwada, A Smart Phone Information Appliance for Improved Usability Proc. of 11th IEEE International Conference on the 2012 Cognitive Informatics and Computing 2012年3月 191-195 36. 2012 Yutaka Yoshida and Hayato Ohwada Wikipedia Edit Number Prediction from the Past Edit Record Based on Auto-Supervised Learning Proc. of the 2012 International Conference on Systems and Informatics, IEEE Xplore 2012年5月 2415-2419 37. 2012 Takaya Yoshida and Hayato Ohwada Using Abstracts to Classify Life Medicine Papers Proc. of the 2012 International Conference on Systems and Informatics, IEEE Xplore 2012年5月 2272-2275 38. 2012 Hideyuki Mase and Hayato Ohwada A collaborative filtering incorporating hybrid-clustering technology Proc. of the 2012 International Conference on Systems and Informatics, IEEE Xplore 2012年5月 2342-2346 39. 2012 Kohei Ishikawa and Hayato Ohwada Extraction of How-to Type Question-Answering Sentences Using Query Sets Lecture Notes in Artificial Intelligence, Springer 2012年9月 No. 7457, 133-139 40. 2012 Yutaka Yoshida and Hayato Ohwada Identifying Important Factors for Future Contribution of Wikipedia Editors Lecture Notes in Artificial Intelligence, Springer 2012年9月 No. 7457, 285-297 41. 2012 Takahiro Shibuya, Katsutoshi Kanamori and Hayato Ohwada A Route Search System in Consideration of the Reservation Service in Amusement Parks for Smart Phone International Journal of Machine Learning and Computing 2012年12月 Vol. 2, No. 6, 771-775 42. 2012 Tatsuya Mori, Katsutoshi Kanamori and Hayato Ohwada Computing the Potential Profit of a Sales Item from Cross-Selling Relationships International Journal of Machine Learning and Computing 2012月12月 Vol. 2, No.6, 754-757 43. 2012 Yoshihiro Yamashita, Katsutoshi Kanamori and Hayato Ohwada Creating Layout System in Prototype Less Production System International Journal of Machine Learning and Computing 2012月12月 Vol. 2, No. 6, 776-781 44. 2013 Masato Okada, Katsutoshi Kanamori and Hayato Ohwada Binary Classication of Compounds by Learning from Docking Software Results and Chemical Information Proc. of 5th International Conference on Bioinformatics and Computational Biology 2013年3月 125-130 45. 2013 Fumio Mizoguchi, Hayato Ohwada at al. Identifying Driver's Cognitive Load Using Inductive Logic Programming Lecture Notes in Computer Science, Springer 2013年6月 No. 7842, 166-177 46. 2013 Takahiro Shibuya, Masato Okada and Hayato Ohwada A practical route search system for amusement parks navigation Journal of Systemics, Cybernetics and Informatics 2013年11月 Vol. 11, No. 8, 69-73 47. 2013 Ryutaro Akiyama, Katsutoshi Kanamori and Hayato Ohwada Clustering Web Pages Considering the Position of Each Word and the Search Term International Journal of e-Education, e-Business, e-Management and e-Learning 2013年12月 Vol. 3, No.6, 441-445 48. 2014 Ryo Mikami et al. A Next-Generation Recipe Recommendation System for Health and Environment International Journal of e-Education, e-Business, e-Management and e-Learning 2014年2月 Vol. 4, No. 1, 63-66 49. 2014 Takaya Yoshida et al. Discovering Compounds That Activate Plant Immunity Using Machine Learning Proc. of the 6th International Conference on Bioinformatics and Computational Biology 2014年3月 9-14 50. 2014 Yutaka Yoshida, Hayato Ohwada and Fumio Mizoguchi Temporal Discretization and Naive Bayes Classifier for Classifying Car Driver's Cognitive Load Proc. of the 29th International Conference on Computers and Their Applications 2014年3月 15-21 51. 2014 Takashi Matsui, Katsutoshi Kanamori and Hayato Ohwada Predicting Future Citation Count Using Bibliographic and Author Information of Articles International Journal of Machine Learning and Computing 2014年4月 Vol. 4, No. 2, 139-141 52. 2014 Hideyuki Mase, Katsutoshi Kanamori and Hayato Ohwada Trust-Aware Recommender System Incorporating Review Contents International Journal of Machine Learning and Computing 2014年4月 Vol. 4, No. 2, 127-132 53. 2014 Niken Martono et al. Customer Lifetime Value and Defection Possibility Prediction Model Using Machine Learning Lecture Notes in Artificial Intelligence, Springer 2014年4月 No. 8398, 62-71 54. 2014 Hayato Ohwada, Masato Okada and Katsutoshi Kanamori Route-Planning Algorithms for Amusement-Park Navigation International Journal of Software Science and Computational Intelligence 2014年4月 Vol. 6, No. 2, 78-92 55. 2014 Niken Martono and Hayato Ohwada Applicability of machine-learning techniques in predicting customer defection Proc. of the 2014 International Symposium on Technology Management and Emerging Technologies 2014年5月 157-162 56. 2014 Yutaka Yoshida et al. Classifying Cognitive Load and Driving Situation with Machine Learning International Journal of Machine Learning and Computing 2014年6月 Vol. 4, No. 3, 210-215 57. 2014 Takahiro Sasaki, Katsutoshi Kanamori and Hayato Ohwada Prediction of Accident By Using Decision Tree and Display Accident Information Lecture Notes on Information Theory 2014年6月 Vol. 2, No. 2, 186-190 58. 2014 Yu Ohya, Katsutoshi Kanamori and Hayato Ohwada Estimating Resource Distribution Using Satellite Images to Utilize Woody Biomass Lecture Notes on Information Theory 2014年6月 Vol. 2, No. 2, 158-162 59. 2014 Masato Okada, Keishi Takiguchi and Hayato Ohwada A Cognitive Engineering Design of a Smart Phone Information Appliance with Improved Usability International Journal of Software Science and Computational Intelligence 2014年7月 Vol. 6, No. 3, 49-59 60. 2014 Yutaka Yoshida, Hayato Ohwada and Fumio Mizoguchi Incorporating Temporal Discretization into Naïve Bayes Learning for Classifying a Driver's Cognitive Load International Journal of Computer and Their Application 2014年9月 Vol. 21, No. 3, 160-169 61. 2014 Katsutoshi Kanamori, Akinori Kanda, and Hayato Ohwada Proposal for a Similar Question Search System on a Q&A Site Journal on Systemics, Cybernetics and Informatics 2014年9月 Vol. 12, No. 3, 13-16 62. 2015 Yu Ohya, Katsutoshi Kanamori and Hayato Ohwada Evaluating Self-Training with Combined Supervised Learning for Land-Cover Classification of Time Series Remote-Sensing Imagery Proc. of 30th International Conference on Computers and Their Applications 2015年3月 475-480 63. 2015 Masato Okada et al. Docking Score Calculation Using Machine Learning with an Enhanced Inhibitor Database Journal of Medical Imaging and Health Informatics 2015年9月 Vol. 5, No. 5, 1104-1107 64. 2015 Atsushi Matsumoto et al. Automated Discovery of Compounds Related to the Plant Immunity Activation by a Logic-based Machine Learning Proc. of the 6th International Conference on Computational Systems-Biology and Bioinformatics 2015年11月 332-336 65. 2015 Tadasuke Ito et al. In Silico Screening of Zinc(II) Enzyme Inhibitors by SVM Proc of the 6th International Conference on Computational Systems-Biology and Bioinformatics 2015年11月 22-26 66. 2015 Atsushi Matsumoto et al. Prediction of radioprotectors targeting p53 for suppression of acute effect of cancer radiotherapy using machine learning Proc. of the 2015 IEEE International Conference on Bioinformatics and Biomedicine 2015年11月 1725-1727 67. 2015 Heri Kuswanto et al. Logistic Regression Ensemble for Predicting Customer Defection with Very Large Sample Size Procedia Computer Science 2015年12月 Vol. 72, 86-93 68. 2015 Hiroyuki Nishiyama, Yusuke Saito and Hayato Ohwada Design of a User Support System for Drivers based on Status Monitoring using Depth Sensor and Smart Phone Proc. of the 16th Asia Pacific Industrial Engineering and Management Systems Conference, 2015年12月 2080-2084 69. 2016 Katsumi Inoue, Hayato Ohwada, Akihiro Yamamoto Inductive Logic Programming: Challenges Proc. of the 30th AAAI Conference on Artificial Intelligence 2016年2月 4330-4332 70. 2016 Yu Ohya, Katsutoshi Kanamori and Hayato Ohwada Recursive Ensemble Land Cover Classification with Little Training Data and Many Classes Lecture Notes in Artificial Intelligence, Springer 2016年3月 No. 9621, 521-531 71. 2016 Sho Ushikubo, Katsutoshi Kanamori and Hayato Ohwada Extracting Lifestyle Rules for Reduction of Body Fat Mass Using Inductive Logic Programming International Journal of Machine Learning and Computing 2016年3月 Vol. 6, No. 2, 101-104 72. 2016 Atsushi Matsumoto, Shin Aoki and Hayato Ohwada Comparison of Random Forest and SVM for Raw Data in Drug Discovery: Prediction of Radiation Protection and Toxicity Case Study International Journal of Machine Learning and Computing 2016年4月 Vol. 6, No. 2, 145-158 73. 2016 Sho Ushikubo, Katsutoshi Kanamori and Hayato Ohwada Extracting Rules for Decreasing Body Fat Mass Using Various Classifiers from Daily Lifestyle Habits Data International Journal of Software Science and Computational Intelligence 2016年7月 Vol. 8, No. 3, 54-70 74. 2016 Atsushi Matsumoto et al. Extracting the Common Structure of Compounds to Induce Plant Immunity Activation using ILP Proc. of the Late Breaking Papers of the 25th International Conference on Inductive Logic Programming 2016年7月 No. 1636, 69-78 75. 2016 Fumio Mizoguchi et al. Extracting rules to detect cognitive distractions through driving simulation Proc. of the Late Breaking Papers of the 25th International Conference on Inductive Logic Programming 2016年7月 No. 1636, 79-85 76. 2016 Hiroyuki Nishiyama and Hayato Ohwada Yet Another Parallel Hypothesis Search for Inverse Entailment Proc. of the Late Breaking Papers of the 25th International Conference on Inductive Logic Programming 2016年7月 No. 1636, 86-94 77. 2016 Sho Ushikubo, Katsutoshi Kanamori and Hayato Ohwada Extracting Time-oriented Relationships of Nutrients to Losing Body Fat Mass using Inductive Logic Programming Proc. of the IEEE 15th International Conference on Cognitive Informatics and Cognitive Computing 2016年8月 226-230 78. 2016 Niken Martono, Takahiro Yamaguchi and Hayato Ohwada Utilizing Finger Movement Data to Cluster Patients with Everyday Action Impairment Proc. of the IEEE 15th International Conference on Cognitive Informatics and Cognitive Computing 2016年8月 459-464 79. 2016 Kazutaka Nishiwaki, Katsutoshi Kanamori and Hayato Ohwada Finding a Disease-Related Gene from Microarray Data using Random Forest Proc. of the IEEE 15th International Conference on Cognitive Informatics and Cognitive Computing 2016年8月 542-546 80. 2016 Ratna Hidayati et al. Combining Feature Selection with Decision Tree Criteria and Neural Network for Corporate Value Classification Lecture Notes in Computer Science, Springer 2016年8月 No. 9806, 31-42 81. 2016 Ratna Hidayati et al. Various Classifiers to Investigate the Relationship Between CSR Activities and Corporate Value Lecture Notes in Computer Science, Springer 2016年8月 No. 9799, 23-39 82. 2016 Ratna Hidayati et al. Implementing Majority Voting Rule to Classify Corporate Value Based on Environmental Efforts Lecture Notes in Computer Science, Springer 2016年6月 No. 9714, 59-66 83. 2016 Atsushi Matsumoto et al. Logic Based Pattern Extraction from Human Behavior Proc. of the International Symposium on Semiconductor Manufacturing Intelligence 2016年8月 Vol. 38, 1-6 84. 2016 Hiroyuki Nishiyama, Yusuke Saito and Hayato Ohwada Machine Learning to Detect Drowsy Driving by Inductive Logic Programming using a 3D Camera Proc. of the International Symposium on Semiconductor Manufacturing Intelligence 2016年8月 Vol. 42, 1-6 85. 2016 Niken Martono et al. Clustering Finger Motion Data from Virtual Reality-Based Training to Analyze Patients with Mild Cognitive Impairment International Journal of Software Science and Computational Intelligence 2016年10月 Vol. 8, No. 4, 29-42 86. 2016 Hiromu Ide, Masakazu Umezawa, Hayato Ohwada Function Prediction of Disease-Related Long Intergenic Non-Coding RNA Using Random Forest Proc. of the 7th International Conference on Computational Systems-Biology and Bioinformatics 2016年12月 58-62 87. 2016 Takahiro Koiwa, Kazutaka Nishiwaki and Hayato Ohwada Finding Unknown Disease-Related Genes by Comparing Random Forest Results to Secondary Data in Medical Science Study Proc. of the 7th International Conference on Computational Systems-Biology and Bioinformatics 2016年12月 24-27 88. 2017 Yuki Kubota et al. Feature Extraction based on Touch Interaction Data in Virtual Reality-based IADL for Characterization of Mild Cognitive Impairment Proc. of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications 2017年2月 Vol. 2, 152-157 89. 2017 Atsushi Matsumoto, Chikara Kubota and Hayato Ohwada Extracting Rules for Successful Conditions for Artificial Insemination in Dairy Cattle Using Inductive Logic Programming Proc. of the 9th International Conference on Machine Learning and Computing 2017年2月 6-10 90. 2017 Kanau Mitsuzuka, Feng Ling and Hayato Ohwada Analysis of CSR activities Affecting Corporate Value Using Machine Learning Proc. of the 9th International Conference on Machine Learning and Computing 2017年2月 11-14 91. 2017 Sho Ushikubo, Chikara Kubota and Hayato Ohwada The Early Detection of Subclinical Ketosis in Dairy Cows Using Machine Learning Methods Proc. of the 9th International Conference on Machine Learning and Computing 2017年2月 38-42 92. 2017 Kazutaka Nishiwaki, Katsutoshi Kanamori and Hayato Ohwada Gene Selection from Microarray Data for Alzheimer's Disease Using Random Forest International Journal of Software Science and Computational Intelligence 2017年4月 Vol. 9, No.2, 14-30 93. 2017 Kazutaka Nishiwaki et al. Detecting Small Bowel Strangulation using Circulating Cell-Free DNA with Machine Learning International Journal of Machine Learning and Computing 2017年6月 Vol. 7, No. 3, 35-39 94. 2017 Keisuke Abe et al. Discovering Rules of Subtle Deficits Indicating Mild Cognitive Impairment Using Inductive Logic Programming Lecture Notes in Computer Science, Springer 2017年8月 Vol. 10274, 331-340 95. 2017 Yu-Chen Chen et al. Building a Classifier of Onset Stroke Prediction Using Random Tree Algorithm International Journal of Machine Learning and Computing 2017年8月 Vol. 7, No. 4, 61-66 96. 2017 Niken Martono et al. Generating Rules of Action Transition in Errors in Daily Activities from a Virtual Reality-Based Training Data Lecture Notes in Computer Science, Springer 2017年8月 Vol. 10274, 166-175 97. 2017 Niken Martono, Takahiko Yamaguchi and Hayato Ohwada Early diagnosis of mild cognitive impairment: A case study in approaches to inductive-logic programming Proc. of IEEE 16th International Conference on Cognitive Informatics & Cognitive Computing 2017年8月 262-267 98. 2017 Heri Kuswanto, Yogi Sarumaha and Hayato Ohwada Comparison Between Selective Sampling and Random Undersampling for Classification of Customer Defection Using Support Vector Machine Journal of Computer Science 2017年10月 355-362 99. 2017 Krisanarach Nitisiri, Mitsuo Gen and Hayato Ohwada Hybrid Genetic Algorithm for Railway Train Scheduling Proc. of 47th International Conference on Computers & Industrial Engineering 2017年10月 Vol. 1, 1304-1311 100. 2017 Katsumi Inoue, Hayato Ohwada and Akihiro Yamamoto Special issue on inductive logic programming Machine Learning 2017年12月 Vol. 106, No. 12, 1863-1865 101. 2017 Takahiro Koiwa and Hayato Ohwada Extraction of disease-related genes from PubMed paper using word2vec Proc. of the 8th International Conference on Computational Systems-Biology and Bioinformatics 2017年12月 46-49 102. 2017 Hiromu Ide, Masakazu Umezawa and Hayato Ohwada Proposal of application method of Inductive Logic Programming to microarray data Proc. of the 8th International Conference on Computational Systems-Biology and Bioinformatics 2017年12月 50-55 103. 2018 Niken Martono et al. An Analysis of Motion Transition in Subtle Errors using Inductive Logic Programming: A Case Study in Approaches to Mild Cognitive Impairment International Journal of Software Science and Computational Intelligence 2018年1月 Vol. 10, No. 2, 27-37 104. 2018 Heri Kuswanto et al. Enzyme Classification on DUD-E Database Using Logistic Regression Ensemble (Lorens) Innovative Computing, Optimization and Its Applications. Studies in Computational Intelligence 2018年1月 Vol. 741, 93-109 105. 2018 Yuya Uekado, Hayato Ohwada and Masaaki Suzuki Churn Prediction Using Text Mining for Job Search Sites Proc. of the 33rd International Conference on Computers and Their Applications 2018年3月 145-150 106. 2018 Hiroki Karasawa, Chien-Liang Liu and Hayato Ohwada Deep 3D Convolutional Neural Network Architectures for Alzheimer’s Disease Diagnosis Lecture Notes in Computer Science, Springer 2018年3月 No. 10751, 287-296 107. 2018 Hiroyuki Nishiyama and Hayato Ohwada Parallel Inductive Logic Programming System for Superlinear Speedup Lecture Notes in Artificial Intelligence, Springer 2018年3月 No. 10759, 112-123 108. 2018 Yusuke Ono, Hayato Ohwada and Hiroyuki Nishiyama Status Discrimination of Dairy Cows using Activity Meter and Machine Learning Proc. of the 33rd International Conference on Computers and Their Applications 2018年3月 15-20 109. 2018 Masahiro Shigeta et al. Automatic Measurement and Determination of Body Condition Score of Cows Based on 3D Images Using CNN Journal of Robotics and Mechatronics 2018年4月 Vol. 30, No. 2, 206-213 110. 2018 Haruka Motohashi et al. Ranking Methods of Candidates for p53 Inhibitor Considering Cytotoxicity Using Machine Learning The 9th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics 2018年8月 521-521 111. 2018 Min-Wei Hsieh, Hayato Ohwada and Sheng-I Chen Practical Feature Selection for Lung Cancer Gene Detection The 9th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics 2018年8月 522-522 112. 2018 Kazuya Uekado et al. Classification of CSR Using Latent Dirichlet Allocation and Analysis of the Relationship Between CSR and Corporate Value Lecture Notes in Artificial Intelligence, Springer 2018年8月 No. 11016, 261-270 113. 2018 Heri Kuswanto, Renny Yunia Nurhidayah and Hayato Ohwada Comparison of Feature Selection Methods to Classify Inhibitors in DUD-E Database Procedia Computer Science 2018年10月 Vol. 144, 194-202 114. 2018 Haruka Motohashi et al. Regression Models and Ranking Method for p53 Inhibitor Candidates Using Machine Learning 2018 IEEE International Conference on Bioinformatics and Biomedicine 2018年11月 708-712 115. 2018 Tatsuki Hirozawa, Takeshi Yamada and Hayato Ohwada New Survival Prediction System for Terminal Patients based on Machine Learning 2018 IEEE International Conference on Bioinformatics and Biomedicine 2018年11月 2756-2758 116. 2019 Masaaki Suzuki et al. Classification Model for Cerebral Aneurysm Rupture Prediction using Medical and Blood-flow-simulation Data Proc. of the 11th International Conference on Agents and Artificial Intelligence 2019年2月 895-899 117. 2019 Krisanarach Nitisiri, Mitsuo Gen and Hayato Ohwada A parallel multi-objective genetic algorithm with learning based mutation for railway scheduling Computers & Industrial Engineering 2019年2月 Vol. 130, 381-394 118. 2019 Yusuke Ono et al. Predicting Cow's Delivery Using Movement and Position Data Based on Machine Learning Proc. of the 34th International Conference on Computers and Their Applications 2019年3月 Vol. 58, 310-316 119. 2019 Heri Kuswanto, Rizky Mubarok and Hayato Ohwada Classification Using Naive Bayes to Predict Radiation Protection in Cancer Drug Discovery: a Case of Mixture Based Grouped Data International Journal of Artificial Intelligence 2019年3月 Vol. 17, No. 1, 186-203 120. 2019 Heri Kuswanto, Erlin Sukmaputri and Hayato Ohwada Ensemble based machine learning for optimizing toxicity in cancer drug discovery ICIC Express Letters 2019年8月 Vol. 13, No. 8, 697-703 121. 2019 Shun Sasaki et al. Estimating Productivity of Dairy Cows by Inductive Logic Programming Proc. of the 29th International Conference on Inductive Logic Programming 2019年9月 3-5 122. 2020 Toshiyuki Haruhara et al. Predicting Cerebral Aneurysm Rupture by Gradient Boosting Decision Tree using Clinical, Hemodynamic,and Morphological Information EPiC Series in Computing 2020年3月 Vol. 69, 180-186 123. 2020 eri Kuswanto et al. Modelling the change of white blood cell on colorectal cancer treatment using probit regression Electronic Journal of Applied Statistical Analysis 2020年5月 Vol. 13, No. 1, 75-85 124. 2020 Mitsuo Gen et al. Advances in Hybrid Genetic Algorithms with Learning and GPU for Scheduling Problems: Brief Survey and Case Study Proc. of the Fourteenth International Conference on Management Science and Engineering Management 2020年6月 322-339 125. 2020 Haruka Motohashi, Hayato Ohwada and Chikara Kubota Early detection method for subclinical mastitis in auto milking systems using machine learning Proc. of the 2020 IEEE 19th International Conference on Cognitive Informatics & Cognitive Computing 2020年9月 76-83 126. 2020 Yoshinobu Miya et al. A Preliminary Study on Reaching Position Estimation Model for the Subtle Action Disruption Proc. of 22nd HCI International Conference 2020年9月 670-678 127. 2020 Yasuhiro Iwashita et al. Discriminative Model for Identifying Motion Primitives Based on Virtual Reality-Based IADL Proc. of 22nd HCI International Conference 2020年9月 574-585 128. 2021 Mitsuo Gen, L. Lin and Hayato Ohwada Advances in Hybrid Evolutionary Algorithms for Fuzzy Flexible Job-shop Scheduling: State-of-the-Art Survey Proc. of the 13th International Conference on Agents and Artificial Intelligence 2021年2月 562-573 129. 2021 Hirofumi Obinata et al. Indicators of Acute Kidney Injury as Biomarkers to Differentiate Heatstroke from Coronavirus Disease 2019: A Retrospective Multicenter Analysis Journal of Nippon Medical School 2021年3月 Vol. 88, No. 1, 80-86 130. 2021 Hikaru Gyoji et al. Statistical Analysis of Micro-error Occurrence Probability for the Fitts' Law-Based Pointing Task Proc. of the 21st HCI International Conference 2021年6月 317-329 131. 2021 Aya Fukuizumi et al. CADM1 and SPC25 Gene Mutations in Lung Cancer Patients With Idiopathic Pulmonary Fibrosis JTO Clinical and Research Reports 2021年10月 Vol. 2, No. 11, ID:100232 132. 2021 Takanobu Otaguro et al. Machine Learning for Prediction of Successful Extubation of Mechanical Ventilated Patients in an Intensive Care Unit: A Retrospective Observational Study Journal of Nippon Medical School 2021年10月 Vol. 88, No. 5, 408-417 133. 2021 Tom Uchino and Hayato Ohwada Individual Identification Model and Method for Estimating Social Rank among Herd of Dairy Cows using YOLOv Proc. of the 2021 IEEE 20th International Conference on Cognitive Informatics & Cognitive Computing 2021年10月 235-241 134. 2022 Yutaka Igarashi et al. Machine Learning Prediction for Supplemental Oxygen Requirement in Patients with COVID-19 Journal of Nippon Medical School 2022年4月 Vol. 89, No. 2, 161-168 135. 2022 Haruka Motohashi and Hayato Ohwada Interpretable Rules Using Inductive Logic Programming Explaining Machine Learning Models: Case Study of Subclinical Mastitis Detection for Dairy Cows Advances in Science, Technology and Engineering Systems Journal 2022年4月 Vol. 7, No. 2, 143-148 136. 2022 Niken Prasasti Martono, Toru Nishiguchi and Hayato Ohwada ECG Signal Classification Using Recurrence Plot-Based Approach and Deep Learning for Arrhythmia Prediction Lecture Notes in Computer Science, Springer 2022年12月 Vol. 13758, 327-335 137. 2023 Niken Prasasti Martono and Hayato Ohwada Financial Distress Model Prediction Using Machine Learning: A Case Study on Indonesia’s Consumers Cyclical Companies International Workshops of ECML PKDD 2022 2023年1月 Vol. 1753, 53-61 138. 2023 Tomohide Sawada et al. Efficient Estimation of Cow’s Location Using Machine Learning Based on Sensor Data Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2023年3月 Vol. 477, 86-94 139. 2023 Niken Prasasti Martono, Toru Nishiguchi and Hayato Ohwada Interpreting Arrhythmia Classification Using Deep Neural Network and CAM-Based Approach Proc. of the 2022 6th International Conference on Computational Biology and Bioinformatics 2023年7月 35-40 140. 2023 Tom Uchino et al. Advancements in Precision Agriculture for Foaling with Automated Water Break Detection using Image Recognition Technology International Journal of Agriculture and Biology 2023年11月 Vol. 30, No. 5, 342-348 141. 2023 Niken Prasasti Martono et al. Automated Cattle Behavior Classification Using Wearable Sensors and Machine Learning Approach Lecture Notes in Computer Science, Springer 2023年11月 Vol. 14317, 58-69 142. 2023 Masayuki Kogoshi et al. Novel in silico screening system for plant defense activators using deep learning-based prediction of reactive oxygen species accumulation Plant Methods 2023年12月 Vol. 19, No. 142, 143. 2023 Niken Prasasti Martono et al. Blood Alcohol Concentration Screening at Emergency Room: Designing a Classification Model Using Machine Learning 2023 14th International Conference on Information & Communication Technology and System 2023年12月 255-260 144. 2024 Niken Prasasti Martono et al. Deep Learning-Based Indoor Localization Using Wireless Sensor Network: An Efficient Approach for Livestock Monitoring Vietnam Journal of Computer Science 2024年4月 Vol. 11, No. 3, 447-463 145. 2024 Toshiki Koshiba et al. Optimizing Coil Selection for Cerebral Aneurysm Treatment Using PyRadiomics and Machine Learning Models Annu Int Conf IEEE Eng Med Biol Soc 2024年7月 ID: 6379 146. 2024 Niken Prasasti Martono and Hayato Ohwada Agent-Based Modeling of Vaccine Hesitancy: Exploring the Role of Trust, Policy, and Socioeconomic Factors Lecture Notes in Networks and Systems, Springer 2024年8月 No. 1066, 253-266 147. 2024 Niken Prasasti Martono and Hayato Ohwada Evaluating the Impact of Windowing Techniques on Fourier Transform-Preprocessed Signals for Deep Learning-Based ECG Classification Hearts 2024年10月 Vol. 5, No. 4, 501-515 148. 2025 Toshiki Koshiba et al. Predicting Protein Interactions with BteA in Bordetella pertussis Pathogenesis Using Machine Learning Proc. of the 8th International Conference on Computational Biology and Bioinformatics 2025年6月 42-47 149. 2024 Shuzo Kitano et al. Precision 3D Motion Capture Using Pose Estimation Techniques: Application in Sports Video Analysis Lecture Notes in Computer Science, Springer 2024年11月 214-225 150. 2024 Hiroaki Shiotsu et al. Applicability of Machine Learning to Improve Mastitis Prediction in Livestock Proc. of 2024 IEEE International Conference on Industrial Engineering and Engineering Management 2024年12月 1149-1153 151. 2024 Ryota Tsukamoto et al. Optimized Dairy Cow Identification and Tracking with PTZ Camera Technology Proc. of 2024 IEEE International Conference on Industrial Engineering and Engineering Management 2024年12月 571-575 152. 2025 Takumi Kawauchi et al. Application of Machine Learning in Preoperative Prediction of Coil Preference in Cerebral Aneurysm Treatment Proc. of the 30th International Symposium on Artificial Life and Robotics 2025年1月 284-289 153. 2025 Niken Prasasti Martono and Hayato Ohwada Learning Programming for Non-Native English-Speaking Students: Insight from Japanese Students Proc. of the 56th ACM Technical Symposium on Computer Science Education 2025年2月 1539-1540 154. 2025 Niken Prasasti Martono and Hayato Ohwada A Framework for Supporting Non-Native English Speakers in Programming Education Proc. of the 13th International Conference on Information and Education Technology 2025年4月 209-213 155. 2025 Yamato Matsuo et al. Development of an Optimal Flow Diverter Stent Prediction Model Based on Parent Artery Morphology Analysis Proc. of the IEEE Engineering in Medicine and Biology Society Annual International Conference 2025年7月 1-4 156. 2025 Niken Prasasti Martono Improving Vancomycin Trough Level Prediction with Machine Learning: A Comparative Study of Feature Selection and Model Performance Proc. of the 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2025年7月 1-4 157. 2025 Niken Prasasti Martono et al. A Comparative Study of Deep Learning Models for In-House Cattles’ Behavior Prediction Lecture Notes in Networks and Systems 2025月8月 419-432 158. 2026 Hiroki Takabatake Domain-Specific Retrieval for Retrieval-Augmented Generation: A Case Study on Pertussis Research Proc. of the AAAI Conference on Artificial Intelligence 2026年1月 41403-41405 159. 2025 Niken Prasasti Martono, Ryota Tsukamoto and Hayato Ohwada An Internet of Things Approach to Vision-Based Livestock Monitoring: PTZ Cameras for Dairy Cow Identification Telecom 2025年11月 Vol. 6, No. 4, 82 160. 2025 Shoichiro Imanishi et al. Preliminary Study on Video and Machine Learning-Based Power Estimation in Road Cycling Proc. of 15th International Conference on Information & Communication Technology and System 2025年11月 1-6 161. 2025 Akimasa Ebihara et al. Feasibility of RGB-Camera-Based 3D Ground Reaction Force Prediction using Pose Estimation Proc. of 15th International Conference on Information & Communication Technology and System 2025年11月 1-6 162. 2025 Koyo Uratani et al. Non-Invasive Foaling Prediction in Horses Using Pose Estimation and Machine Learning Proc. of 15th International Conference on Information & Communication Technology and System 2025年11月 1-6 163. 2025 Soichiro Fujimura et al. Development and Validation of a Prediction Model for Intracranial Aneurysm Rupture Risk JAMA Network Open 2025年12月 Vol. 8, No. 1, e25507722,

Papers

1. 1988 Hayato Ohwada and Fumio Miizoguchi Managing Search in Parallel Logic Programming Lecture Notes in Computer Science, Springer-Verlag 1988年6月 No. 315, 148-177
2. 1988 Hayato Ohwada and Fumio Mizoguchi An Examination of Applicability of FGHC: The Experience of Designing Qualitative Reasoning System Proc. of the International Conference on Fifth Generation Computer Systems, Ohmsha Publishers 1988年11月 1193-1200
3. 1990 Hayato Ohwada and Fumio Mizoguchi A Constraint Logic Programming Approach for Maintaining Consistency in User-Interface Design Proc. of the North American Conference on Logic Programming, The MIT Press 1990年1月 139-153
4. 1990 Hayato Ohwada and Fumio Mizoguchi Use of Contraint Logic Programming for Making Qualitative Reasoning More Powerful Proc. of Pacific Rim International Conference on Artificial Intelligence, Ohmsha Publishers 1990年1月 705-710
5. 1991 Fumio Mizoguchi and Hayato Ohwada A Contraint-oriented Decision Support System for Option-based Investment Strategies Proc. of the First International Conference on Artificial Intelligence Applications on Wall Street, IEEE Computer Society Press 1991年10月 146-151
6. 1993 Hayato Ohwada and Fumio Mizoguchi A Computational Method for Evidential Reasoning with Uncertain Information Advances in Software Science and Technology, Academic Press 1993年4月 63-86
7. 1995 Fumio Mizoguchi and Hayato Ohwada Using Inductive Logic Programming for Constrain Acquisition in Contraint-based Problem Solving Proc. of the 5th International Workshop on Inductive Logic Programming 1995年1月 297-322
8. 1995 Fumio Mizoguchi and Hayato Ohwada Using Constraint Programming to Design an Option-based Decision Support System Journal of Intelligent Systems in Accounting, Finance and Management 1995年3月 Vol.4,13-26
9. 1995 Fumio Mizoguchi and Hayato Ohwada Constrained Relative Least General Generalization for Inducing Constraint Logic Programs New Generation Computing, 1995年12月 Vol.3, No. 304, 335-368
10. 1997 Fumio Mizoguchi, Hayato Ohwada et al. Learning Rules that Classify Ocular Fundus Images for Glaucoma Diagnosis Lecture Notes in Artificial Intelligence, Springer-Verlag 1997年8月 No. 1314, 146-159
11. 1998 Hironori Hiraishi, Hayato Ohwada and Fumio Mizoguchi Web-based Communication and Control for Multiagent Robots Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems, IEEE Computer Society Press 1998年1月 120-125
12. 1998 Hiroyuki Nishiyama, Hayato Ohwada and Fumio Mizoguchi Logic Specifications for Multiple Robots based on Current Programming Languages Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems, IEEE Computer Society Press 1998年1月 286-291
13. 1998 Hiroshi Sawai, Hayato Ohwada and Fumio Mizoguchi Incorporating a Navigation Tool into a Browser for minig WWW information Proc. of 5th Pacific Rim International Conference on Artificial Intelligence 1998年1月 No. 1532, 453-454
14. 1998 Hayato Ohwada et al. Learning First-order Rules from Image Applied to Glaucoma Diagnosis Lecture Notes in Artificial Intelligence, Springer-Verlag, 1998年11月 No. 1531, 494-505
15. 1998 Hironori Hiraishi, Hayato Ohwada and Fumio Mizoguchi Time Constrained Heuristic Search for Practical Route Finding Lecture Notes in Artificial Intelligence, Springer-Verlag 1998年11月 No. 1531, 389-398
16. 1998 Hiruyuki Nishiyama, Hayato Ohwada and Fumio Mizoguchi Towards Agent-oriented Smart Office based on Concurrent Logic Languages Lecture Notes in Artificial Intelligence, Springer-Verlag 1998年11月 No. 1531, 59-70
17. 1999 Hironori Hiraishi, Hayato Ohwada and Fumio Mizoguchi Intercommunicating Car Navigation System with Dynamic Route Finding Proc. of IEEE/IEEJ/JSAI International Conference on Intelligent Transportation Systems 1999年4月 284-289
18. 1999 Fumio Mizoguchi, Hayato Ohwada et al. Collaboration between robotic agents at the smart office Proc. of the Third Annual Conference on Autonomous Agents 1999年5月 362-363
19. 1999 Kazuya Chiba, Hayato Ohwada and Fumio Mizoguchi Acquiring Graphic Design Knowledge with Nonmonotonic Inductive Learning Lecture Notes in Computer Science, Springer-Verlag 1999年7月 No. 1634, 56-67
20. 1999 Fumio Mizoguchi, et al. Smart Office Robot Collaboration based on Multi-agent Programming Artificial Intelligence 1999年11月 Vol. 114, 57-94
21. 1999 Hayato Ohwada and Fumio Mizoguchi Parallel Execution for Speeding Up Inductive Logic Programming Systems Lecture Notes in Artificial Intelligence, Springer-Verlag 1999年12月 No. 1721, 277-286
22. 2000 Fumio Mizoguchi and Hayato Ohwada Personalized Mail Agent Using Inductive Learning Machine Intelligence 2000年1月 Vol. 15, 154-175
23. 2000 Hayato Ohwada et al. Concurrent Execution of Optimal Hypothesis Search for Inverse Entailment Lecture Notes in Artificial Intelligence, Springer-Verlag 2000年7月 No. 1866, 165-173
24. 2001 Hayato Ohwada and Fumio Mizoguchi Integrating Information Visualization and Retrieval for Discovering Internet Sources Lecture Notes in Computer Science, Springer-Verlag 2001年10月 No. 1967, 38-49
25. 2003 Hayato Ohwada and Fumio Mizoguchi Integrating Information Visualization and Retrieval for Information Discovery Theoretical Computer Science 2003年1月 Vol. 292, 547-571
26. 2005 Yoko Ino et al. Extracting common concepts from wordnet to classity documents Proc. of the IASTED International Conference on Artificial Intelligence and Applications 2005年2月 656-661
27. 2005 Masaki Yokoyama et al. Detecting errors in POS-tagging using ILP Proc. of the 15th International Conference on Inductive Logic Programming 2005年8月 75-80
28. 2005 Masaki Yokoyama et al. Detecting and revising misclassifications using ILP Lecture Notes in Artificial Intelligence, Springer 2005年10月 No. 3735, 362-438
29. 2006 Atsushi Yamazaki et al. Using ILP for constructing process network in dies production Proc. of the 16th International Conference on Inductive Logic Programming 2006年8月 228-230
30. 2008 Yukio Uematsu et al. Proximity Scoring Using Sentence-Based Inverted Index for Practical Full-Text Search Lecture Notes in Computer Science, Springer 2008年9月 No. 5173, 308-319
31. 2009 Tetsuya Tsukamoto et al. ItemSpider: Social Networking Service that Extracts Personal Character from Individual's Book Information Lecture Notes in Computer Science, Springer-Verlag 2009年8月 No. 5465, 161-172
32. 2010 Tsuyoshi Yoshida and Hayato Ohwada Shill Bidder Detection for Online Auctions Lecture Notes in Computer Science, Springer 2010年8月 No. 6230, 351-358
33. 2010 Masaaki Tsujida et al. Large Scale Similarity-based Relation Expansion Proc. of 4th International Universal Communication Symposium 2010年10月 140-147
34. 2011 Masaaki Tsuchida et al. Toward Finding Semantic Relations not Written in a Single Sentence: An Integration Method using Auto-Discovered Rules Proc. of the 5th International Joint Conference on Natural Language Processing 2011年11月 116-120
35. 2012 Masato Okada, Keishi Takiguchi and Hayato Ohwada, A Smart Phone Information Appliance for Improved Usability Proc. of 11th IEEE International Conference on the 2012 Cognitive Informatics and Computing 2012年3月 191-195
36. 2012 Yutaka Yoshida and Hayato Ohwada Wikipedia Edit Number Prediction from the Past Edit Record Based on Auto-Supervised Learning Proc. of the 2012 International Conference on Systems and Informatics, IEEE Xplore 2012年5月 2415-2419
37. 2012 Takaya Yoshida and Hayato Ohwada Using Abstracts to Classify Life Medicine Papers Proc. of the 2012 International Conference on Systems and Informatics, IEEE Xplore 2012年5月 2272-2275
38. 2012 Hideyuki Mase and Hayato Ohwada A collaborative filtering incorporating hybrid-clustering technology Proc. of the 2012 International Conference on Systems and Informatics, IEEE Xplore 2012年5月 2342-2346
39. 2012 Kohei Ishikawa and Hayato Ohwada Extraction of How-to Type Question-Answering Sentences Using Query Sets Lecture Notes in Artificial Intelligence, Springer 2012年9月 No. 7457, 133-139
40. 2012 Yutaka Yoshida and Hayato Ohwada Identifying Important Factors for Future Contribution of Wikipedia Editors Lecture Notes in Artificial Intelligence, Springer 2012年9月 No. 7457, 285-297
41. 2012 Takahiro Shibuya, Katsutoshi Kanamori and Hayato Ohwada A Route Search System in Consideration of the Reservation Service in Amusement Parks for Smart Phone International Journal of Machine Learning and Computing 2012年12月 Vol. 2, No. 6, 771-775
42. 2012 Tatsuya Mori, Katsutoshi Kanamori and Hayato Ohwada Computing the Potential Profit of a Sales Item from Cross-Selling Relationships International Journal of Machine Learning and Computing 2012月12月 Vol. 2, No.6, 754-757
43. 2012 Yoshihiro Yamashita, Katsutoshi Kanamori and Hayato Ohwada Creating Layout System in Prototype Less Production System International Journal of Machine Learning and Computing 2012月12月 Vol. 2, No. 6, 776-781
44. 2013 Masato Okada, Katsutoshi Kanamori and Hayato Ohwada Binary Classication of Compounds by Learning from Docking Software Results and Chemical Information Proc. of 5th International Conference on Bioinformatics and Computational Biology 2013年3月 125-130
45. 2013 Fumio Mizoguchi, Hayato Ohwada at al. Identifying Driver's Cognitive Load Using Inductive Logic Programming Lecture Notes in Computer Science, Springer 2013年6月 No. 7842, 166-177
46. 2013 Takahiro Shibuya, Masato Okada and Hayato Ohwada A practical route search system for amusement parks navigation Journal of Systemics, Cybernetics and Informatics 2013年11月 Vol. 11, No. 8, 69-73
47. 2013 Ryutaro Akiyama, Katsutoshi Kanamori and Hayato Ohwada Clustering Web Pages Considering the Position of Each Word and the Search Term International Journal of e-Education, e-Business, e-Management and e-Learning 2013年12月 Vol. 3, No.6, 441-445
48. 2014 Ryo Mikami et al. A Next-Generation Recipe Recommendation System for Health and Environment International Journal of e-Education, e-Business, e-Management and e-Learning 2014年2月 Vol. 4, No. 1, 63-66
49. 2014 Takaya Yoshida et al. Discovering Compounds That Activate Plant Immunity Using Machine Learning Proc. of the 6th International Conference on Bioinformatics and Computational Biology 2014年3月 9-14
50. 2014 Yutaka Yoshida, Hayato Ohwada and Fumio Mizoguchi Temporal Discretization and Naive Bayes Classifier for Classifying Car Driver's Cognitive Load Proc. of the 29th International Conference on Computers and Their Applications 2014年3月 15-21
51. 2014 Takashi Matsui, Katsutoshi Kanamori and Hayato Ohwada Predicting Future Citation Count Using Bibliographic and Author Information of Articles International Journal of Machine Learning and Computing 2014年4月 Vol. 4, No. 2, 139-141
52. 2014 Hideyuki Mase, Katsutoshi Kanamori and Hayato Ohwada Trust-Aware Recommender System Incorporating Review Contents International Journal of Machine Learning and Computing 2014年4月 Vol. 4, No. 2, 127-132
53. 2014 Niken Martono et al. Customer Lifetime Value and Defection Possibility Prediction Model Using Machine Learning Lecture Notes in Artificial Intelligence, Springer 2014年4月 No. 8398, 62-71
54. 2014 Hayato Ohwada, Masato Okada and Katsutoshi Kanamori Route-Planning Algorithms for Amusement-Park Navigation International Journal of Software Science and Computational Intelligence 2014年4月 Vol. 6, No. 2, 78-92
55. 2014 Niken Martono and Hayato Ohwada Applicability of machine-learning techniques in predicting customer defection Proc. of the 2014 International Symposium on Technology Management and Emerging Technologies 2014年5月 157-162
56. 2014 Yutaka Yoshida et al. Classifying Cognitive Load and Driving Situation with Machine Learning International Journal of Machine Learning and Computing 2014年6月 Vol. 4, No. 3, 210-215
57. 2014 Takahiro Sasaki, Katsutoshi Kanamori and Hayato Ohwada Prediction of Accident By Using Decision Tree and Display Accident Information Lecture Notes on Information Theory 2014年6月 Vol. 2, No. 2, 186-190
58. 2014 Yu Ohya, Katsutoshi Kanamori and Hayato Ohwada Estimating Resource Distribution Using Satellite Images to Utilize Woody Biomass Lecture Notes on Information Theory 2014年6月 Vol. 2, No. 2, 158-162
59. 2014 Masato Okada, Keishi Takiguchi and Hayato Ohwada A Cognitive Engineering Design of a Smart Phone Information Appliance with Improved Usability International Journal of Software Science and Computational Intelligence 2014年7月 Vol. 6, No. 3, 49-59
60. 2014 Yutaka Yoshida, Hayato Ohwada and Fumio Mizoguchi Incorporating Temporal Discretization into Naïve Bayes Learning for Classifying a Driver's Cognitive Load International Journal of Computer and Their Application 2014年9月 Vol. 21, No. 3, 160-169
61. 2014 Katsutoshi Kanamori, Akinori Kanda, and Hayato Ohwada Proposal for a Similar Question Search System on a Q&A Site Journal on Systemics, Cybernetics and Informatics 2014年9月 Vol. 12, No. 3, 13-16
62. 2015 Yu Ohya, Katsutoshi Kanamori and Hayato Ohwada Evaluating Self-Training with Combined Supervised Learning for Land-Cover Classification of Time Series Remote-Sensing Imagery Proc. of 30th International Conference on Computers and Their Applications 2015年3月 475-480
63. 2015 Masato Okada et al. Docking Score Calculation Using Machine Learning with an Enhanced Inhibitor Database Journal of Medical Imaging and Health Informatics 2015年9月 Vol. 5, No. 5, 1104-1107
64. 2015 Atsushi Matsumoto et al. Automated Discovery of Compounds Related to the Plant Immunity Activation by a Logic-based Machine Learning Proc. of the 6th International Conference on Computational Systems-Biology and Bioinformatics 2015年11月 332-336
65. 2015 Tadasuke Ito et al. In Silico Screening of Zinc(II) Enzyme Inhibitors by SVM Proc of the 6th International Conference on Computational Systems-Biology and Bioinformatics 2015年11月 22-26
66. 2015 Atsushi Matsumoto et al. Prediction of radioprotectors targeting p53 for suppression of acute effect of cancer radiotherapy using machine learning Proc. of the 2015 IEEE International Conference on Bioinformatics and Biomedicine 2015年11月 1725-1727
67. 2015 Heri Kuswanto et al. Logistic Regression Ensemble for Predicting Customer Defection with Very Large Sample Size Procedia Computer Science 2015年12月 Vol. 72, 86-93
68. 2015 Hiroyuki Nishiyama, Yusuke Saito and Hayato Ohwada Design of a User Support System for Drivers based on Status Monitoring using Depth Sensor and Smart Phone Proc. of the 16th Asia Pacific Industrial Engineering and Management Systems Conference, 2015年12月 2080-2084
69. 2016 Katsumi Inoue, Hayato Ohwada, Akihiro Yamamoto Inductive Logic Programming: Challenges Proc. of the 30th AAAI Conference on Artificial Intelligence 2016年2月 4330-4332
70. 2016 Yu Ohya, Katsutoshi Kanamori and Hayato Ohwada Recursive Ensemble Land Cover Classification with Little Training Data and Many Classes Lecture Notes in Artificial Intelligence, Springer 2016年3月 No. 9621, 521-531
71. 2016 Sho Ushikubo, Katsutoshi Kanamori and Hayato Ohwada Extracting Lifestyle Rules for Reduction of Body Fat Mass Using Inductive Logic Programming International Journal of Machine Learning and Computing 2016年3月 Vol. 6, No. 2, 101-104
72. 2016 Atsushi Matsumoto, Shin Aoki and Hayato Ohwada Comparison of Random Forest and SVM for Raw Data in Drug Discovery: Prediction of Radiation Protection and Toxicity Case Study International Journal of Machine Learning and Computing 2016年4月 Vol. 6, No. 2, 145-158
73. 2016 Sho Ushikubo, Katsutoshi Kanamori and Hayato Ohwada Extracting Rules for Decreasing Body Fat Mass Using Various Classifiers from Daily Lifestyle Habits Data International Journal of Software Science and Computational Intelligence 2016年7月 Vol. 8, No. 3, 54-70
74. 2016 Atsushi Matsumoto et al. Extracting the Common Structure of Compounds to Induce Plant Immunity Activation using ILP Proc. of the Late Breaking Papers of the 25th International Conference on Inductive Logic Programming 2016年7月 No. 1636, 69-78
75. 2016 Fumio Mizoguchi et al. Extracting rules to detect cognitive distractions through driving simulation Proc. of the Late Breaking Papers of the 25th International Conference on Inductive Logic Programming 2016年7月 No. 1636, 79-85
76. 2016 Hiroyuki Nishiyama and Hayato Ohwada Yet Another Parallel Hypothesis Search for Inverse Entailment Proc. of the Late Breaking Papers of the 25th International Conference on Inductive Logic Programming 2016年7月 No. 1636, 86-94
77. 2016 Sho Ushikubo, Katsutoshi Kanamori and Hayato Ohwada Extracting Time-oriented Relationships of Nutrients to Losing Body Fat Mass using Inductive Logic Programming Proc. of the IEEE 15th International Conference on Cognitive Informatics and Cognitive Computing 2016年8月 226-230
78. 2016 Niken Martono, Takahiro Yamaguchi and Hayato Ohwada Utilizing Finger Movement Data to Cluster Patients with Everyday Action Impairment Proc. of the IEEE 15th International Conference on Cognitive Informatics and Cognitive Computing 2016年8月 459-464
79. 2016 Kazutaka Nishiwaki, Katsutoshi Kanamori and Hayato Ohwada Finding a Disease-Related Gene from Microarray Data using Random Forest Proc. of the IEEE 15th International Conference on Cognitive Informatics and Cognitive Computing 2016年8月 542-546
80. 2016 Ratna Hidayati et al. Combining Feature Selection with Decision Tree Criteria and Neural Network for Corporate Value Classification Lecture Notes in Computer Science, Springer 2016年8月 No. 9806, 31-42
81. 2016 Ratna Hidayati et al. Various Classifiers to Investigate the Relationship Between CSR Activities and Corporate Value Lecture Notes in Computer Science, Springer 2016年8月 No. 9799, 23-39
82. 2016 Ratna Hidayati et al. Implementing Majority Voting Rule to Classify Corporate Value Based on Environmental Efforts Lecture Notes in Computer Science, Springer 2016年6月 No. 9714, 59-66
83. 2016 Atsushi Matsumoto et al. Logic Based Pattern Extraction from Human Behavior Proc. of the International Symposium on Semiconductor Manufacturing Intelligence 2016年8月 Vol. 38, 1-6
84. 2016 Hiroyuki Nishiyama, Yusuke Saito and Hayato Ohwada Machine Learning to Detect Drowsy Driving by Inductive Logic Programming using a 3D Camera Proc. of the International Symposium on Semiconductor Manufacturing Intelligence 2016年8月 Vol. 42, 1-6
85. 2016 Niken Martono et al. Clustering Finger Motion Data from Virtual Reality-Based Training to Analyze Patients with Mild Cognitive Impairment International Journal of Software Science and Computational Intelligence 2016年10月 Vol. 8, No. 4, 29-42
86. 2016 Hiromu Ide, Masakazu Umezawa, Hayato Ohwada Function Prediction of Disease-Related Long Intergenic Non-Coding RNA Using Random Forest Proc. of the 7th International Conference on Computational Systems-Biology and Bioinformatics 2016年12月 58-62
87. 2016 Takahiro Koiwa, Kazutaka Nishiwaki and Hayato Ohwada Finding Unknown Disease-Related Genes by Comparing Random Forest Results to Secondary Data in Medical Science Study Proc. of the 7th International Conference on Computational Systems-Biology and Bioinformatics 2016年12月 24-27
88. 2017 Yuki Kubota et al. Feature Extraction based on Touch Interaction Data in Virtual Reality-based IADL for Characterization of Mild Cognitive Impairment Proc. of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications 2017年2月 Vol. 2, 152-157
89. 2017 Atsushi Matsumoto, Chikara Kubota and Hayato Ohwada Extracting Rules for Successful Conditions for Artificial Insemination in Dairy Cattle Using Inductive Logic Programming Proc. of the 9th International Conference on Machine Learning and Computing 2017年2月 6-10
90. 2017 Kanau Mitsuzuka, Feng Ling and Hayato Ohwada Analysis of CSR activities Affecting Corporate Value Using Machine Learning Proc. of the 9th International Conference on Machine Learning and Computing 2017年2月 11-14
91. 2017 Sho Ushikubo, Chikara Kubota and Hayato Ohwada The Early Detection of Subclinical Ketosis in Dairy Cows Using Machine Learning Methods Proc. of the 9th International Conference on Machine Learning and Computing 2017年2月 38-42
92. 2017 Kazutaka Nishiwaki, Katsutoshi Kanamori and Hayato Ohwada Gene Selection from Microarray Data for Alzheimer's Disease Using Random Forest International Journal of Software Science and Computational Intelligence 2017年4月 Vol. 9, No.2, 14-30
93. 2017 Kazutaka Nishiwaki et al. Detecting Small Bowel Strangulation using Circulating Cell-Free DNA with Machine Learning International Journal of Machine Learning and Computing 2017年6月 Vol. 7, No. 3, 35-39
94. 2017 Keisuke Abe et al. Discovering Rules of Subtle Deficits Indicating Mild Cognitive Impairment Using Inductive Logic Programming Lecture Notes in Computer Science, Springer 2017年8月 Vol. 10274, 331-340
95. 2017 Yu-Chen Chen et al. Building a Classifier of Onset Stroke Prediction Using Random Tree Algorithm International Journal of Machine Learning and Computing 2017年8月 Vol. 7, No. 4, 61-66
96. 2017 Niken Martono et al. Generating Rules of Action Transition in Errors in Daily Activities from a Virtual Reality-Based Training Data Lecture Notes in Computer Science, Springer 2017年8月 Vol. 10274, 166-175
97. 2017 Niken Martono, Takahiko Yamaguchi and Hayato Ohwada Early diagnosis of mild cognitive impairment: A case study in approaches to inductive-logic programming Proc. of IEEE 16th International Conference on Cognitive Informatics & Cognitive Computing 2017年8月 262-267
98. 2017 Heri Kuswanto, Yogi Sarumaha and Hayato Ohwada Comparison Between Selective Sampling and Random Undersampling for Classification of Customer Defection Using Support Vector Machine Journal of Computer Science 2017年10月 355-362
99. 2017 Krisanarach Nitisiri, Mitsuo Gen and Hayato Ohwada Hybrid Genetic Algorithm for Railway Train Scheduling Proc. of 47th International Conference on Computers & Industrial Engineering 2017年10月 Vol. 1, 1304-1311
100. 2017 Katsumi Inoue, Hayato Ohwada and Akihiro Yamamoto Special issue on inductive logic programming Machine Learning 2017年12月 Vol. 106, No. 12, 1863-1865
101. 2017 Takahiro Koiwa and Hayato Ohwada Extraction of disease-related genes from PubMed paper using word2vec Proc. of the 8th International Conference on Computational Systems-Biology and Bioinformatics 2017年12月 46-49
102. 2017 Hiromu Ide, Masakazu Umezawa and Hayato Ohwada Proposal of application method of Inductive Logic Programming to microarray data Proc. of the 8th International Conference on Computational Systems-Biology and Bioinformatics 2017年12月 50-55
103. 2018 Niken Martono et al. An Analysis of Motion Transition in Subtle Errors using Inductive Logic Programming: A Case Study in Approaches to Mild Cognitive Impairment International Journal of Software Science and Computational Intelligence 2018年1月 Vol. 10, No. 2, 27-37
104. 2018 Heri Kuswanto et al. Enzyme Classification on DUD-E Database Using Logistic Regression Ensemble (Lorens) Innovative Computing, Optimization and Its Applications. Studies in Computational Intelligence 2018年1月 Vol. 741, 93-109
105. 2018 Yuya Uekado, Hayato Ohwada and Masaaki Suzuki Churn Prediction Using Text Mining for Job Search Sites Proc. of the 33rd International Conference on Computers and Their Applications 2018年3月 145-150
106. 2018 Hiroki Karasawa, Chien-Liang Liu and Hayato Ohwada Deep 3D Convolutional Neural Network Architectures for Alzheimer’s Disease Diagnosis Lecture Notes in Computer Science, Springer 2018年3月 No. 10751, 287-296
107. 2018 Hiroyuki Nishiyama and Hayato Ohwada Parallel Inductive Logic Programming System for Superlinear Speedup Lecture Notes in Artificial Intelligence, Springer 2018年3月 No. 10759, 112-123
108. 2018 Yusuke Ono, Hayato Ohwada and Hiroyuki Nishiyama Status Discrimination of Dairy Cows using Activity Meter and Machine Learning Proc. of the 33rd International Conference on Computers and Their Applications 2018年3月 15-20
109. 2018 Masahiro Shigeta et al. Automatic Measurement and Determination of Body Condition Score of Cows Based on 3D Images Using CNN Journal of Robotics and Mechatronics 2018年4月 Vol. 30, No. 2, 206-213
110. 2018 Haruka Motohashi et al. Ranking Methods of Candidates for p53 Inhibitor Considering Cytotoxicity Using Machine Learning The 9th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics 2018年8月 521-521
111. 2018 Min-Wei Hsieh, Hayato Ohwada and Sheng-I Chen Practical Feature Selection for Lung Cancer Gene Detection The 9th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics 2018年8月 522-522
112. 2018 Kazuya Uekado et al. Classification of CSR Using Latent Dirichlet Allocation and Analysis of the Relationship Between CSR and Corporate Value Lecture Notes in Artificial Intelligence, Springer 2018年8月 No. 11016, 261-270
113. 2018 Heri Kuswanto, Renny Yunia Nurhidayah and Hayato Ohwada Comparison of Feature Selection Methods to Classify Inhibitors in DUD-E Database Procedia Computer Science 2018年10月 Vol. 144, 194-202
114. 2018 Haruka Motohashi et al. Regression Models and Ranking Method for p53 Inhibitor Candidates Using Machine Learning 2018 IEEE International Conference on Bioinformatics and Biomedicine 2018年11月 708-712
115. 2018 Tatsuki Hirozawa, Takeshi Yamada and Hayato Ohwada New Survival Prediction System for Terminal Patients based on Machine Learning 2018 IEEE International Conference on Bioinformatics and Biomedicine 2018年11月 2756-2758
116. 2019 Masaaki Suzuki et al. Classification Model for Cerebral Aneurysm Rupture Prediction using Medical and Blood-flow-simulation Data Proc. of the 11th International Conference on Agents and Artificial Intelligence 2019年2月 895-899
117. 2019 Krisanarach Nitisiri, Mitsuo Gen and Hayato Ohwada A parallel multi-objective genetic algorithm with learning based mutation for railway scheduling Computers & Industrial Engineering 2019年2月 Vol. 130, 381-394
118. 2019 Yusuke Ono et al. Predicting Cow's Delivery Using Movement and Position Data Based on Machine Learning Proc. of the 34th International Conference on Computers and Their Applications 2019年3月 Vol. 58, 310-316
119. 2019 Heri Kuswanto, Rizky Mubarok and Hayato Ohwada Classification Using Naive Bayes to Predict Radiation Protection in Cancer Drug Discovery: a Case of Mixture Based Grouped Data International Journal of Artificial Intelligence 2019年3月 Vol. 17, No. 1, 186-203
120. 2019 Heri Kuswanto, Erlin Sukmaputri and Hayato Ohwada Ensemble based machine learning for optimizing toxicity in cancer drug discovery ICIC Express Letters 2019年8月 Vol. 13, No. 8, 697-703
121. 2019 Shun Sasaki et al. Estimating Productivity of Dairy Cows by Inductive Logic Programming Proc. of the 29th International Conference on Inductive Logic Programming 2019年9月 3-5
122. 2020 Toshiyuki Haruhara et al. Predicting Cerebral Aneurysm Rupture by Gradient Boosting Decision Tree using Clinical, Hemodynamic,and Morphological Information EPiC Series in Computing 2020年3月 Vol. 69, 180-186
123. 2020 eri Kuswanto et al. Modelling the change of white blood cell on colorectal cancer treatment using probit regression Electronic Journal of Applied Statistical Analysis 2020年5月 Vol. 13, No. 1, 75-85
124. 2020 Mitsuo Gen et al. Advances in Hybrid Genetic Algorithms with Learning and GPU for Scheduling Problems: Brief Survey and Case Study Proc. of the Fourteenth International Conference on Management Science and Engineering Management 2020年6月 322-339
125. 2020 Haruka Motohashi, Hayato Ohwada and Chikara Kubota Early detection method for subclinical mastitis in auto milking systems using machine learning Proc. of the 2020 IEEE 19th International Conference on Cognitive Informatics & Cognitive Computing 2020年9月 76-83
126. 2020 Yoshinobu Miya et al. A Preliminary Study on Reaching Position Estimation Model for the Subtle Action Disruption Proc. of 22nd HCI International Conference 2020年9月 670-678
127. 2020 Yasuhiro Iwashita et al. Discriminative Model for Identifying Motion Primitives Based on Virtual Reality-Based IADL Proc. of 22nd HCI International Conference 2020年9月 574-585
128. 2021 Mitsuo Gen, L. Lin and Hayato Ohwada Advances in Hybrid Evolutionary Algorithms for Fuzzy Flexible Job-shop Scheduling: State-of-the-Art Survey Proc. of the 13th International Conference on Agents and Artificial Intelligence 2021年2月 562-573
129. 2021 Hirofumi Obinata et al. Indicators of Acute Kidney Injury as Biomarkers to Differentiate Heatstroke from Coronavirus Disease 2019: A Retrospective Multicenter Analysis Journal of Nippon Medical School 2021年3月 Vol. 88, No. 1, 80-86
130. 2021 Hikaru Gyoji et al. Statistical Analysis of Micro-error Occurrence Probability for the Fitts' Law-Based Pointing Task Proc. of the 21st HCI International Conference 2021年6月 317-329
131. 2021 Aya Fukuizumi et al. CADM1 and SPC25 Gene Mutations in Lung Cancer Patients With Idiopathic Pulmonary Fibrosis JTO Clinical and Research Reports 2021年10月 Vol. 2, No. 11, ID:100232
132. 2021 Takanobu Otaguro et al. Machine Learning for Prediction of Successful Extubation of Mechanical Ventilated Patients in an Intensive Care Unit: A Retrospective Observational Study Journal of Nippon Medical School 2021年10月 Vol. 88, No. 5, 408-417
133. 2021 Tom Uchino and Hayato Ohwada Individual Identification Model and Method for Estimating Social Rank among Herd of Dairy Cows using YOLOv Proc. of the 2021 IEEE 20th International Conference on Cognitive Informatics & Cognitive Computing 2021年10月 235-241
134. 2022 Yutaka Igarashi et al. Machine Learning Prediction for Supplemental Oxygen Requirement in Patients with COVID-19 Journal of Nippon Medical School 2022年4月 Vol. 89, No. 2, 161-168
135. 2022 Haruka Motohashi and Hayato Ohwada Interpretable Rules Using Inductive Logic Programming Explaining Machine Learning Models: Case Study of Subclinical Mastitis Detection for Dairy Cows Advances in Science, Technology and Engineering Systems Journal 2022年4月 Vol. 7, No. 2, 143-148
136. 2022 Niken Prasasti Martono, Toru Nishiguchi and Hayato Ohwada ECG Signal Classification Using Recurrence Plot-Based Approach and Deep Learning for Arrhythmia Prediction Lecture Notes in Computer Science, Springer 2022年12月 Vol. 13758, 327-335
137. 2023 Niken Prasasti Martono and Hayato Ohwada Financial Distress Model Prediction Using Machine Learning: A Case Study on Indonesia’s Consumers Cyclical Companies International Workshops of ECML PKDD 2022 2023年1月 Vol. 1753, 53-61
138. 2023 Tomohide Sawada et al. Efficient Estimation of Cow’s Location Using Machine Learning Based on Sensor Data Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2023年3月 Vol. 477, 86-94
139. 2023 Niken Prasasti Martono, Toru Nishiguchi and Hayato Ohwada Interpreting Arrhythmia Classification Using Deep Neural Network and CAM-Based Approach Proc. of the 2022 6th International Conference on Computational Biology and Bioinformatics 2023年7月 35-40
140. 2023 Tom Uchino et al. Advancements in Precision Agriculture for Foaling with Automated Water Break Detection using Image Recognition Technology International Journal of Agriculture and Biology 2023年11月 Vol. 30, No. 5, 342-348
141. 2023 Niken Prasasti Martono et al. Automated Cattle Behavior Classification Using Wearable Sensors and Machine Learning Approach Lecture Notes in Computer Science, Springer 2023年11月 Vol. 14317, 58-69
142. 2023 Masayuki Kogoshi et al. Novel in silico screening system for plant defense activators using deep learning-based prediction of reactive oxygen species accumulation Plant Methods 2023年12月 Vol. 19, No. 142,
143. 2023 Niken Prasasti Martono et al. Blood Alcohol Concentration Screening at Emergency Room: Designing a Classification Model Using Machine Learning 2023 14th International Conference on Information & Communication Technology and System 2023年12月 255-260
144. 2024 Niken Prasasti Martono et al. Deep Learning-Based Indoor Localization Using Wireless Sensor Network: An Efficient Approach for Livestock Monitoring Vietnam Journal of Computer Science 2024年4月 Vol. 11, No. 3, 447-463
145. 2024 Toshiki Koshiba et al. Optimizing Coil Selection for Cerebral Aneurysm Treatment Using PyRadiomics and Machine Learning Models Annu Int Conf IEEE Eng Med Biol Soc 2024年7月 ID: 6379
146. 2024 Niken Prasasti Martono and Hayato Ohwada Agent-Based Modeling of Vaccine Hesitancy: Exploring the Role of Trust, Policy, and Socioeconomic Factors Lecture Notes in Networks and Systems, Springer 2024年8月 No. 1066, 253-266
147. 2024 Niken Prasasti Martono and Hayato Ohwada Evaluating the Impact of Windowing Techniques on Fourier Transform-Preprocessed Signals for Deep Learning-Based ECG Classification Hearts 2024年10月 Vol. 5, No. 4, 501-515
148. 2025 Toshiki Koshiba et al. Predicting Protein Interactions with BteA in Bordetella pertussis Pathogenesis Using Machine Learning Proc. of the 8th International Conference on Computational Biology and Bioinformatics 2025年6月 42-47
149. 2024 Shuzo Kitano et al. Precision 3D Motion Capture Using Pose Estimation Techniques: Application in Sports Video Analysis Lecture Notes in Computer Science, Springer 2024年11月 214-225
150. 2024 Hiroaki Shiotsu et al. Applicability of Machine Learning to Improve Mastitis Prediction in Livestock Proc. of 2024 IEEE International Conference on Industrial Engineering and Engineering Management 2024年12月 1149-1153
151. 2024 Ryota Tsukamoto et al. Optimized Dairy Cow Identification and Tracking with PTZ Camera Technology Proc. of 2024 IEEE International Conference on Industrial Engineering and Engineering Management 2024年12月 571-575
152. 2025 Takumi Kawauchi et al. Application of Machine Learning in Preoperative Prediction of Coil Preference in Cerebral Aneurysm Treatment Proc. of the 30th International Symposium on Artificial Life and Robotics 2025年1月 284-289
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