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Semantic ScholarHayato Ohwada
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2010 – today
- 2018
[j12]Niken Prasasti Martono, Keisuke Abe, Takehiko Yamaguchi, Hayato Ohwada:
An Analysis of Motion Transition in Subtle Errors using Inductive Logic Programming: A Case Study in Approaches to Mild Cognitive Impairment. IJSSCI 10(1): 27-37 (2018)- [c65]Hiroki Karasawa, Chien-Liang Liu, Hayato Ohwada:
Deep 3D Convolutional Neural Network Architectures for Alzheimer's Disease Diagnosis. ACIIDS (1) 2018: 287-296 - [c64]Xu Qian, Hayato Ohwada:
Application of Data Mining Classification in Job-Changing. ICMLC 2018: 107-110 - 2017
- [j11]Kazutaka Nishiwaki, Katsutoshi Kanamori, Hayato Ohwada:
Gene Selection from Microarray Data for Alzheimer's Disease Using Random Forest. IJSSCI 9(2): 14-30 (2017) - [j10]Heri Kuswanto, Yogi Sarumaha, Hayato Ohwada:
Comparison Between Selective Sampling and Random Undersampling for Classification of Customer Defection Using Support Vector Machine. JCS 13(8): 355-362 (2017) - [j9]Katsumi Inoue, Hayato Ohwada, Akihiro Yamamoto:
Special issue on inductive logic programming. Machine Learning 106(12): 1863-1865 (2017) - [c63]Niken Prasasti Martono, Takehiko Yamaguchi, Hayato Ohwada:
Early diagnosis of mild cognitive impairment: A case study in approaches to inductive-logic programming. IEEE ICCI*CC 2017: 262-267 - [c62]Masataka Kimura, Shin Aoki, Hayato Ohwada:
Predicting radiation protection and toxicity of p53 targeting radioprotectors using machine learning. CIBCB 2017: 1-6 - [c61]Takahiro Koiwa, Hayato Ohwada:
Extraction of disease-related genes from PubMed paper using word2vec. CSBio 2017: 46-49 - [c60]Hiromu Ide, Masakazu Umezawa, Hayato Ohwada:
Proposal of application method of Inductive Logic Programming to microarray data. CSBio 2017: 50-55 - [c59]Yuki Kubota, Takehiko Yamaguchi, Takuya Maeta, Yosuke Okada, Yoshihito Miura, Niken Prasasti Martono, Hayato Ohwada, Tania Giovannetti:
Feature Extraction based on Touch Interaction Data in Virtual Reality-based IADL for Characterization of Mild Cognitive Impairment. VISIGRAPP (2: HUCAPP) 2017: 152-157 - [c58]Niken Prasasti Martono, Keisuke Abe, Takehiko Yamaguchi, Hayato Ohwada, Tania Giovannetti:
Generating Rules of Action Transition in Errors in Daily Activities from a Virtual Reality-Based Training Data. HCI (4) 2017: 166-175 - [c57]Keisuke Abe, Niken Prasasti Martono, Takehiko Yamaguchi, Hayato Ohwada, Tania Giovannetti:
Discovering Rules of Subtle Deficits Indicating Mild Cognitive Impairment Using Inductive Logic Programming. HCI (4) 2017: 331-340 - [c56]Atsushi Matsumoto, Chikara Kubota, Hayato Ohwada:
Extracting Rules for Successful Conditions for Artificial Insemination in Dairy Cattle Using Inductive Logic Programming. ICMLC 2017: 6-10 - [c55]Kanau Mitsuzuka, Feng Ling, Hayato Ohwada:
Analysis of CSR activities Affecting Corporate Value Using Machine Learning. ICMLC 2017: 11-14 - [c54]Sho Ushikubo, Chikara Kubota, Hayato Ohwada:
The Early Detection of Subclinical Ketosis in Dairy Cows Using Machine Learning Methods. ICMLC 2017: 38-42 - [c53]Hiroyuki Nishiyama, Hayato Ohwada:
Parallel Inductive Logic Programming System for Superlinear Speedup. ILP 2017: 112-123 - 2016
- [j8]Sho Ushikubo, Katsutoshi Kanamori, Hayato Ohwada:
Extracting Rules for Decreasing Body Fat Mass Using Various Classifiers from Daily Lifestyle Habits Data. IJSSCI 8(3): 54-70 (2016) - [j7]Niken Prasasti Martono, Takehiko Yamaguchi, Takuya Maeta, Hibiki Fujino, Yuki Kubota, Hayato Ohwada, Tania Giovannetti:
Clustering Finger Motion Data from Virtual Reality-Based Training to Analyze Patients with Mild Cognitive Impairment. IJSSCI 8(4): 29-42 (2016) - [c52]Sho Ushikubo, Katsutoshi Kanamori, Hayato Ohwada:
Extracting time-oriented relationships of nutrients to losing body fat mass using inductive logic programming. ICCI*CC 2016: 226-230 - [c51]Niken Prasasti Martono, Takehiko Yamaguchi, Hayato Ohwada:
Utilizing finger movement data to cluster patients with everyday action impairment. ICCI*CC 2016: 459-464 - [c50]Kazutaka Nishiwaki, Katsutoshi Kanamori, Hayato Ohwada:
Finding a disease-related gene from microarray data using random forest. ICCI*CC 2016: 542-546 - [c49]Katsumi Inoue, Hayato Ohwada, Akihiro Yamamoto:
Inductive Logic Programming: Challenges. AAAI 2016: 4330-4332 - [c48]Shinji Hayashi, Niken Prasasti, Katsutoshi Kanamori, Hayato Ohwada:
Improving Behavior Prediction Accuracy by Using Machine Learning for Agent-Based Simulation. ACIIDS (1) 2016: 280-289 - [c47]Yu Oya, Katsutoshi Kanamori, Hayato Ohwada:
Recursive Ensemble Land Cover Classification with Little Training Data and Many Classes. ACIIDS (1) 2016: 521-531 - [c46]Takahiro Koiwa, Kazutaka Nishiwaki, Hayato Ohwada:
Finding Unknown Disease-Related Genes by Comparing Random Forest Results to Secondary Data in Medical Science Study. CSBio 2016: 24-27 - [c45]Hiromu Ide, Masakazu Umezawa, Hayato Ohwada:
Function Prediction of Disease-Related Long Intergenic Non-Coding RNA Using Random Forest. CSBio 2016: 58-62 - [c44]Ratna Hidayati, Katsutoshi Kanamori, Ling Feng, Hayato Ohwada:
Implementing Majority Voting Rule to Classify Corporate Value Based on Environmental Efforts. DMBD 2016: 59-66 - [c43]Ratna Hidayati, Katsutoshi Kanamori, Ling Feng, Hayato Ohwada:
Various Classifiers to Investigate the Relationship Between CSR Activities and Corporate Value. IEA/AIE 2016: 23-30 - [c42]Ratna Hidayati, Katsutoshi Kanamori, Ling Feng, Hayato Ohwada:
Combining Feature Selection with Decision Tree Criteria and Neural Network for Corporate Value Classification. PKAW 2016: 31-42 - [e3]Katsumi Inoue, Hayato Ohwada, Akihiro Yamamoto:
Late Breaking Papers of the 25th International Conference on Inductive Logic Programming, Kyoto University, Kyoto, Japan, August 20th to 22nd, 2015. CEUR Workshop Proceedings 1636, CEUR-WS.org 2016 [contents] - [e2]Katsumi Inoue, Hayato Ohwada, Akihiro Yamamoto:
Inductive Logic Programming - 25th International Conference, ILP 2015, Kyoto, Japan, August 20-22, 2015, Revised Selected Papers. Lecture Notes in Computer Science 9575, Springer 2016, ISBN 978-3-319-40565-0 [contents] - [e1]Hayato Ohwada, Kenichi Yoshida:
Knowledge Management and Acquisition for Intelligent Systems - 14th Pacific Rim Knowledge Acquisition Workshop, PKAW 2016, Phuket, Thailand, August 22-23, 2016, Proceedings. Lecture Notes in Computer Science 9806, Springer 2016, ISBN 978-3-319-42705-8 [contents] - 2015
- [c41]Tadasuke Ito, Masato Okada, Shotaro Togami, Shinya Ariyasu, Shin Aoki, Hayato Ohwada:
ILP based screening applied to predicting carbonic anhydrase II ligands. BIBM 2015: 883-888 - [c40]Atsushi Matsumoto, Tadasuke Ito, Yurie Nishi, Tatsuro Teraoka, Shin Aoki, Hayato Ohwada:
Prediction of radioprotectors targeting p53 for suppression of acute effect of cancer radiotherapy using machine learning. BIBM 2015: 1725-1727 - [c39]Atsushi Matsumoto, Katsutoshi Kanamori, Kazuyuki Kuchitsu, Hayato Ohwada:
Extracting the Common Structure of Compounds to Induce Plant Immunity Activation using ILP. ILP (Late Breaking Papers) 2015: 69-78 - [c38]Fumio Mizoguchi, Hayato Ohwada, Hiroyuki Nishiyama, Akira Yoshizawa, Hirotoshi Iwasaki:
Extracting rules to detect cognitive distractions through driving simulation. ILP (Late Breaking Papers) 2015: 79-85 - [c37]Hiroyuki Nishiyama, Hayato Ohwada:
Yet Another Parallel Hypothesis Search for Inverse Entailment. ILP (Late Breaking Papers) 2015: 86-94 - 2014
- [j6]Hayato Ohwada, Masato Okada, Katsutoshi Kanamori:
Route-Planning Algorithms for Amusement-Park Navigation. IJSSCI 6(2): 78-92 (2014) - [j5]Masato Okada, Keishi Takiguchi, Hayato Ohwada:
A Cognitive Engineering Design of a Smart Phone Information Appliance with Improved Usability. IJSSCI 6(3): 49-59 (2014) - [j4]Yutaka Yoshida, Hayato Ohwada, Fumio Mizoguchi:
Incorporating Temporal Discretization into Naïve Bayes Learning for Classifying a Driver's Cognitive Load. I. J. Comput. Appl. 21(3): 160-169 (2014) - [c36]Yutaka Yoshida, Hayato Ohwada, Fumio Mizoguchi:
Extracting tendency and stability from time series and random forest for classifying a car driver's cognitive load. ICCI*CC 2014: 258-265 - [c35]Niken Prasasti, Masato Okada, Katsutoshi Kanamori, Hayato Ohwada:
Customer Lifetime Value and Defection Possibility Prediction Model Using Machine Learning: An Application to a Cloud-Based Software Company. ACIIDS (2) 2014: 62-71 - [c34]Niken Prasasti Martono, Katsutoshi Kanamori, Hayato Ohwada:
Utilizing Customers' Purchase and Contract Renewal Details to Predict Defection in the Cloud Software Industry. PKAW 2014: 138-149 - 2013
- [c33]Hayato Ohwada, Masato Okada, Katsutoshi Kanamori:
Flexible route planning for amusement parks navigation. ICCI*CC 2013: 421-427 - 2012
- [c32]Masato Okada, Keishi Takiguchi, Hayato Ohwada:
A smart phone information appliance for improved usability. ICCI*CC 2012: 191-195 - [c31]Katsutoshi Kanamori, Hayato Ohwada:
Creative Problem Solving by Concept Generation Using Relation Structure. ILP (Late Breaking Papers) 2012: 44-49 - [c30]Fumio Mizoguchi, Hayato Ohwada, Hiroyuki Nishiyama, Hirotoshi Iwasaki:
Identifying Driver's Cognitive Load Using Inductive Logic Programming. ILP 2012: 166-177 - [c29]Kyohei Ishikawa, Hayato Ohwada:
Extraction of How-to Type Question-Answering Sentences Using Query Sets. PKAW 2012: 133-139 - [c28]Yutaka Yoshida, Hayato Ohwada:
Identifying Important Factors for Future Contribution of Wikipedia Editors. PKAW 2012: 285-297 - 2011
- [c27]Masaaki Tsuchida, Kentaro Torisawa, Stijn De Saeger, Jong-Hoon Oh, Jun'ichi Kazama, Chikara Hashimoto, Hayato Ohwada:
Toward Finding Semantic Relations not Written in a Single Sentence: An Inference Method using Auto-Discovered Rules. IJCNLP 2011: 902-910 - 2010
- [c26]Masaaki Tsuchida, Stijn De Saeger, Kentaro Torisawa, Masaki Murata, Jun'ichi Kazama, Kow Kuroda, Hayato Ohwada:
Large scale similarity-based relation expansion. IUCS 2010: 141-148 - [c25]
2000 – 2009
- 2008
- [c24]Yukio Uematsu, Takafumi Inoue, Kengo Fujioka, Ryoji Kataoka, Hayato Ohwada:
Proximity Scoring Using Sentence-Based Inverted Index for Practical Full-Text Search. ECDL 2008: 308-319 - [c23]Tetsuya Tsukamoto, Hiroyuki Nishiyama, Hayato Ohwada:
ItemSpider: Social Networking Service That Extracts Personal Character from Individual's Book Information. PKAW 2008: 161-172 - 2005
- [c22]Yoko Ino, Tohgoroh Matsui, Hayato Ohwada:
Extracting Common Concepts from WordNet to Classify Documents. Artificial Intelligence and Applications 2005: 656-661 - [c21]Masaki Yokoyama, Tohgoroh Matsui, Hayato Ohwada:
Detecting and Revising Misclassifications Using ILP. Discovery Science 2005: 363-370 - 2003
- [j3]Hayato Ohwada, Fumio Mizoguchi:
Integrating information visualization and retrieval for WWW information discovery. Theor. Comput. Sci. 292(2): 547-571 (2003) - 2000
- [c20]Hayato Ohwada, Fumio Mizoguchi:
Integrating Information Visualization and Retrieval for Discovering Internet Sources. Discovery Science 2000: 38-49 - [c19]Hayato Ohwada, Hiroyuki Nishiyama, Fumio Mizoguchi:
Concurrent Execution of Optimal Hypothesis Search for Inverse Entailment. ILP 2000: 165-173
1990 – 1999
- 1999
- [j2]Fumio Mizoguchi, Hiroyuki Nishiyama, Hayato Ohwada, Hironori Hiraishi:
Smart Office Robot Collaboration Based on Multi-Agent Programming. Artif. Intell. 114(1-2): 57-94 (1999) - [c18]Fumio Mizoguchi, Hayato Ohwada, Hiroyuki Nishiyama, Hironori Hiraishi:
Collaboration Between Robotic Agents at the Smart Office. Agents 1999: 362-363 - [c17]Hayato Ohwada, Fumio Mizoguchi:
Parallel Execution for Speeding Up Inductive Logic Programming Systems. Discovery Science 1999: 277-286 - [c16]Kazuya Chiba, Hayato Ohwada, Fumio Mizoguchi:
Acquiring Graphic Design Knowledge with Nonmonotonic Inductive Learning. ILP 1999: 56-67 - 1998
- [c15]Hiroshi Sawai, Hayato Ohwada, Fumio Mizoguchi:
Incorporating a Navigation Tool into a WWW Browser. Discovery Science 1998: 453-454 - [c14]Hiroyuki Nishiyama, Hayato Ohwada, Fumio Mizoguchi:
A Multiagent Robot Language for Communication and Concurrency Control. ICMAS 1998: 206-213 - [c13]Hironori Hiraishi, Hayato Ohwada, Fumio Mizoguchi:
Web-based communication and control for multiagent robots. IROS 1998: 120-125 - [c12]Hiroyuki Nishiyama, Hayato Ohwada, Fumio Mizoguchi:
Logic specifications for multiple robots based on a current programming language. IROS 1998: 286-291 - [c11]Hiroyuki Nishiyama, Hayato Ohwada, Fumio Mizoguchi:
Towards Agent-Oriented Smart Office Based on Concurrent Logic Languages. PRICAI 1998: 59-70 - [c10]Hironori Hiraishi, Hayato Ohwada, Fumio Mizoguchi:
Time-Constrained HeuristicSearch for Practical Route Finding. PRICAI 1998: 389-398 - [c9]Hayato Ohwada, Makiko Daidoji, Shiroaki Shirato, Fumio Mizoguchi:
Learning First-Order Rules from Image Applied to Glaucoma Diagnosis. PRICAI 1998: 494-505 - 1996
- [c8]Fumio Mizoguchi, Hayato Ohwada, Makiki Daidoji, Shiroteru Shirato:
Learning Rules That Classify Ocular Fundus Images for Glaucoma Diagnosis. Inductive Logic Programming Workshop 1996: 146-159 - 1995
- [j1]Fumio Mizoguchi, Hayato Ohwada:
Constrained Relative Least General Generalization for Inducing Constraint Logic Programs. New Generation Comput. 13(3&4): 335-368 (1995) - [c7]Fumio Mizoguchi, Hayato Ohwada:
Personalized Mail Agent Using Inductive Logic Programming. Machine Intelligence 15 1995: 154-175 - 1990
- [c6]Hayato Ohwada, Fumio Mizoguchi:
A Constraint Logic Programming Approach for Maintaining Consistency in User-Interface Design. NACLP 1990: 139-153
1980 – 1989
- 1988
- [c5]Hayato Ohwada, Fumio Mizoguchi:
An Examination for Applicability of FGHC: The Experience of Designing Qualitative Reasoning System. FGCS 1988: 1193-1200 - 1987
- [c4]Toshio Kawamura, Hayato Ohwada, Fumio Mizoguchi:
CS-Prolog: A Generalized Unification Based Constraint Solver. LP 1987: 19-39 - [c3]
- [c2]Hayato Ohwada, Fumio Mizoguchi:
Qualitative Simulation in Parallel Logic Programming. SLP 1987: 480-489 - 1984
- [c1]Fumio Mizoguchi, Hayato Ohwada, Yoshinori Katatama:
LOOKS: Knowledge Representation System for Designing Expert Systems in a Logic Programming Framework. FGCS 1984: 606-612
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