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Hayato Ohwada
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2020 – today
- 2024
- [j15]Niken Prasasti Martono, Tomohide Sawada, Tom Uchino, Hayato Ohwada:
Deep Learning-Based Indoor Localization Using Wireless Sensor Network: An Efficient Approach for Livestock Monitoring. Vietnam. J. Comput. Sci. 11(3): 447-463 (2024) - 2023
- [c86]Soichiro Fujimura, Toshiki Koshiba, Genki Kudo, Kohei Takeshita, Masahiro Kazama, Kostadin Karagiozov, Koji Fukudome, Hiroyuki Takao, Hayato Ohwada, Yuichi Murayama, Makoto Yamamoto, Toshihiro Ishibashi, Katharina Otani:
Development of Machine Learning Model for Selecting the 1st Coil in the Treatment of Cerebral Aneurysms by Coil Embolization. EMBC 2023: 1-4 - [c85]Niken Prasasti Martono, Rie Sawado, Itoko Nonaka, Fuminori Terada, Hayato Ohwada:
Automated Cattle Behavior Classification Using Wearable Sensors and Machine Learning Approach. PKAW 2023: 58-69 - 2022
- [c84]Niken Prasasti Martono, Toru Nishiguchi, Hayato Ohwada:
ECG Signal Classification Using Recurrence Plot-Based Approach and Deep Learning for Arrhythmia Prediction. ACIIDS (1) 2022: 327-335 - [c83]Niken Prasasti Martono, Toru Nishiguchi, Hayato Ohwada:
Interpreting Arrhythmia Classification Using Deep Neural Network and CAM-Based Approach. ICCBB 2022: 35-40 - [c82]Niken Prasasti Martono, Hayato Ohwada:
Financial Distress Model Prediction Using Machine Learning: A Case Study on Indonesia's Consumers Cyclical Companies. PKDD/ECML Workshops (2) 2022: 53-61 - 2021
- [c81]Tom Uchino, Hayato Ohwada:
Individual identification model and method for estimating social rank among herd of dairy cows using YOLOv5. ICCI*CC 2021: 235-241 - [c80]Mitsuo Gen, Lin Lin, Hayato Ohwada:
Advances in Hybrid Evolutionary Algorithms for Fuzzy Flexible Job-shop Scheduling: State-of-the-Art Survey. ICAART (1) 2021: 562-573 - 2020
- [c79]Haruka Motohashi, Hayato Ohwada, Chikara Kubota:
Early Detection Method for Subclinical Mastitis in Auto Milking Systems Using Machine Learning. IEEE ICCI*CC 2020: 76-83 - [c78]Toshiyuki Haruhara, Hideto Ohgi, Masaaki Suzuki, Hiroyuki Takao, Takashi Suzuki, Soichiro Fujimura, Toshihiro Ishibashi, Makoto Yamamoto, Yuichi Murayama, Hayato Ohwada:
Predicting Cerebral Aneurysm Rupture by Gradient Boosting Decision Tree using Clinical, Hemodynamic, and Morphological Information. CATA 2020: 180-186 - [c77]Yasuhiro Iwashita, Takehiko Yamaguchi, Tania Giovannetti, Maiko Sakamoto, Hayato Ohwada:
Discriminative Model for Identifying Motion Primitives Based on Virtual Reality-Based IADL. HCI (44) 2020: 574-585 - [c76]Yoshinobu Miya, Takehiko Yamaguchi, Tania Giovannetti, Maiko Sakamoto, Hayato Ohwada:
A Preliminary Study on Reaching Position Estimation Model for the Subtle Action Disruption. HCI (44) 2020: 670-678
2010 – 2019
- 2019
- [j14]Krisanarach Nitisiri, Mitsuo Gen, Hayato Ohwada:
A parallel multi-objective genetic algorithm with learning based mutation for railway scheduling. Comput. Ind. Eng. 130: 381-394 (2019) - [c75]Yusuke Ono, Ryo Hatano, Hayato Ohwada, Hiroyuki Nishiyama:
Predicting Cow's Delivery Using Movement and Position Data Based on Machine Learning. CATA 2019: 310-316 - [c74]Hikaru Gyoji, Tania Giovannetti, Rachel Mis, Caitlyn Vega, Lorena Silva, Atsuya Shirotori, Yuki Nagasawa, Maiko Sakamoto, Tetsuya Harada, Hayato Ohwada, Takehiko Yamaguchi:
Statistical Analysis of Micro-error Occurrence Probability for the Fitts' Law-Based Pointing Task. HCI (4) 2019: 317-329 - [c73]Masaaki Suzuki, Toshiyuki Haruhara, Hiroyuki Takao, Takashi Suzuki, Soichiro Fujimura, Toshihiro Ishibashi, Makoto Yamamoto, Yuichi Murayama, Hayato Ohwada:
Classification Model for Cerebral Aneurysm Rupture Prediction using Medical and Blood-flow-simulation Data. ICAART (2) 2019: 895-899 - 2018
- [j13]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. Int. J. Softw. Sci. Comput. Intell. 10(1): 27-37 (2018) - [j12]Masahiro Shigeta, Reiichirou Ike, Hiroshi Takemura, Hayato Ohwada:
Automatic Measurement and Determination of Body Condition Score of Cows Based on 3D Images Using CNN. J. Robotics Mechatronics 30(2): 206-213 (2018) - [c72]Hiroki Karasawa, Chien-Liang Liu, Hayato Ohwada:
Deep 3D Convolutional Neural Network Architectures for Alzheimer's Disease Diagnosis. ACIIDS (1) 2018: 287-296 - [c71]Haruka Motohashi, Tatsuro Teraoka, Shin Aoki, Hayato Ohwada:
Ranking Methods of Candidates for p53 Inhibitors Considering Cytotoxicity Using Machine Learning. BCB 2018: 521 - [c70]Min-Wei Hsieh, Hayato Ohwada, Sheng-I Chen:
Practical Feature Selection for Lung Cancer Gene Detection. BCB 2018: 522 - [c69]Haruka Motohashi, Tatsuro Teraoka, Shin Aoki, Hayato Ohwada:
Regression Models and Ranking Method for p53 Inhibitor Candidates Using Machine Learning. BIBM 2018: 708-712 - [c68]Tatsuki Hirozawa, Takeshi Yamada, Hayato Ohwada:
New Survival Prediction System for Terminal Patients based on Machine Learning. BIBM 2018: 2756-2758 - [c67]Xu Qian, Hayato Ohwada:
Application of Data Mining Classification in Job-Changing. ICMLC 2018: 107-110 - [c66]Heri Kuswanto, Renny Yunia Nurhidayah, Hayato Ohwada:
Comparison of Feature Selection Methods to Classify Inhibitors in DUD-E Database. INNS Conference on Big Data 2018: 194-202 - [c65]Kazuya Uekado, Ling Feng, Masaaki Suzuki, Hayato Ohwada:
Classification of CSR Using Latent Dirichlet Allocation and Analysis of the Relationship Between CSR and Corporate Value. PKAW 2018: 261-270 - 2017
- [j11]Kazutaka Nishiwaki, Katsutoshi Kanamori, Hayato Ohwada:
Gene Selection from Microarray Data for Alzheimer's Disease Using Random Forest. Int. J. Softw. Sci. Comput. Intell. 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. J. Comput. Sci. 13(8): 355-362 (2017) - [j9]Katsumi Inoue, Hayato Ohwada, Akihiro Yamamoto:
Special issue on inductive logic programming. Mach. Learn. 106(12): 1863-1865 (2017) - [c64]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 - [c63]Masataka Kimura, Shin Aoki, Hayato Ohwada:
Predicting radiation protection and toxicity of p53 targeting radioprotectors using machine learning. CIBCB 2017: 1-6 - [c62]Takahiro Koiwa, Hayato Ohwada:
Extraction of disease-related genes from PubMed paper using word2vec. CSBio 2017: 46-49 - [c61]Hiromu Ide, Masakazu Umezawa, Hayato Ohwada:
Proposal of application method of Inductive Logic Programming to microarray data. CSBio 2017: 50-55 - [c60]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 - [c59]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 - [c58]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 - [c57]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 - [c56]Kanau Mitsuzuka, Feng Ling, Hayato Ohwada:
Analysis of CSR activities Affecting Corporate Value Using Machine Learning. ICMLC 2017: 11-14 - [c55]Sho Ushikubo, Chikara Kubota, Hayato Ohwada:
The Early Detection of Subclinical Ketosis in Dairy Cows Using Machine Learning Methods. ICMLC 2017: 38-42 - [c54]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. Int. J. Softw. Sci. Comput. Intell. 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. Int. J. Softw. Sci. Comput. Intell. 8(4): 29-42 (2016) - [c53]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 - [c52]Niken Prasasti Martono, Takehiko Yamaguchi, Hayato Ohwada:
Utilizing finger movement data to cluster patients with everyday action impairment. ICCI*CC 2016: 459-464 - [c51]Kazutaka Nishiwaki, Katsutoshi Kanamori, Hayato Ohwada:
Finding a disease-related gene from microarray data using random forest. ICCI*CC 2016: 542-546 - [c50]Katsumi Inoue, Hayato Ohwada, Akihiro Yamamoto:
Inductive Logic Programming: Challenges. AAAI 2016: 4330-4332 - [c49]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 - [c48]Yu Oya, Katsutoshi Kanamori, Hayato Ohwada:
Recursive Ensemble Land Cover Classification with Little Training Data and Many Classes. ACIIDS (1) 2016: 521-531 - [c47]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 - [c46]Hiromu Ide, Masakazu Umezawa, Hayato Ohwada:
Function Prediction of Disease-Related Long Intergenic Non-Coding RNA Using Random Forest. CSBio 2016: 58-62 - [c45]Ratna Hidayati, Katsutoshi Kanamori, Ling Feng, Hayato Ohwada:
Implementing Majority Voting Rule to Classify Corporate Value Based on Environmental Efforts. DMBD 2016: 59-66 - [c44]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 - [c43]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
- [c42]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 - [c41]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 - [c40]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 - [c39]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 - [c38]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. Int. J. Softw. Sci. Comput. Intell. 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. Int. J. Softw. Sci. Comput. Intell. 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. Int. J. Comput. Their Appl. 21(3): 160-169 (2014) - [c37]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 - [c36]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 - [c35]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
- [c34]Hayato Ohwada, Masato Okada, Katsutoshi Kanamori:
Flexible route planning for amusement parks navigation. ICCI*CC 2013: 421-427 - 2012
- [c33]Masato Okada, Keishi Takiguchi, Hayato Ohwada:
A smart phone information appliance for improved usability. ICCI*CC 2012: 191-195 - [c32]Katsutoshi Kanamori, Hayato Ohwada:
Creative Problem Solving by Concept Generation Using Relation Structure. ILP (Late Breaking Papers) 2012: 44-49 - [c31]Fumio Mizoguchi, Hayato Ohwada, Hiroyuki Nishiyama, Hirotoshi Iwasaki:
Identifying Driver's Cognitive Load Using Inductive Logic Programming. ILP 2012: 166-177 - [c30]Kyohei Ishikawa, Hayato Ohwada:
Extraction of How-to Type Question-Answering Sentences Using Query Sets. PKAW 2012: 133-139 - [c29]Yutaka Yoshida, Hayato Ohwada:
Identifying Important Factors for Future Contribution of Wikipedia Editors. PKAW 2012: 285-297 - 2011
- [c28]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 - [c27]Yoshihisa Shiina, Hayato Ohwada:
Using Machine-Generated Soft Constraints for Roster Problems. ILP (Late Breaking Papers) 2011: 227-233 - 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]Tsuyoshi Yoshida, Hayato Ohwada:
Shill Bidder Detection for Online Auctions. PRICAI 2010: 351-358
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 Gener. 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]Hayato Ohwada, Fumio Mizoguchi:
Managing Search in Parallel Logic Programming. LP 1987: 148-177 - [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
Coauthor Index
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