Gunma University

Mar. 2007, Waseda University, Graduate School of Information Production and Systems

Mar. 1999, University of Tsukuba

Mar. 1986, Waseda University, School of Science and Engineering

Doctor of Engineering

Master of Medical Science

ACM

THE JAPAN STATISTICAL SOCIETY

THE BIOMETRIC SOCIETY OF JAPAN

SICE

Apr. 2021, 9999, Gunma University

Apr. 2017, Mar. 2021, Fukuoka Nursing College, Professor

Jun. 2011, Mar. 2017, Fukuoka Dental College, Associate Professor

Informatics, Intelligent informatics

Informatics, Biological, health, and medical informatics

Informatics, Statistical science

Data Mining

Knowledge Discovery

Evolutionary Computation

Baseball pitching data analysis using interpretable rule mining, Kiichi Shirakawa, Kaoru Shimada, Feb. 2026, 2026 International Conference on AI x Data and Knowledge Engineering (AIxDKE), 162, 165, International conference proceedings

Itemsets with Approximate Logistic Curve as Statistical Background, Akari Oda, Kaoru Shimada, Genetic and Evolutionary Computation Conference 2025 (ACM GECCO' 25 Companion), 879, 882, International conference proceedings

Combining Feature Space Refinement and Outcome Accumulation Type Evolutionary Rule Discovery, Tomonori Obana, Kaoru Shimada, Jul. 2025, Genetic and Evolutionary Computation Conference 2025 (ACM GECCO'25 Companion), 695, 698, International conference proceedings

Instance-Based Discovery of ItemSBs Leveraging Individuality Through Discretization, Yasuhiro Suzuki, Kaoru Shimada, 11 Dec. 2024, Proc. of 2024 International Conference on AI x Data and Knowledge Engineering (AIxDKE), 92, 97, International conference proceedings

Discovery of Contrast Itemset with Statistical Background Between Two Continuous Variables, Kaoru Shimada, Shogo Matsuno, Shota Saito, 28 Aug. 2023, Big Data Analytics and Knowledge Discovery (DaWaK 2023), 114, 119, International conference proceedings

ItemSB: Itemsets with Statistically Distinctive Backgrounds Discovered by Evolutionary Method, Kaoru Shimada, Takaaki Arahira, Shogo Matsuno, Aug. 2022, International Journal of Semantic Computing, 16, 3, 357, 378, Scientific journal

Evolutionary Operation Setting for Outcome Accumulation Type Evolutionary Rule Discovery Method, Shogo Matsuno, Kaoru Shimada, Jul. 2022, Proc. of the Genetic and Evolutionary Computation Conference (ACM GECCO'22) Companion, 451, 454, International conference proceedings

Evolutionary Method to Discover Itemsets with Statistically Distinctive Backgrounds, Kaoru Shimada; Takaaki Arahira; Shogo Matsuno, Dec. 2021, Proc. of 2021 IEEE Fourth International Conference on Artificial Intelligence and Knowledge Engineering (AIKE), 113, 120, International conference proceedings

Evolutionary Method for Two-dimensional Associative Local Distribution Rule Mining, Kaoru Shimada; Takaaki Arahira; Shogo Matsuno, Nov. 2021, Proc. of The 33rd IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 1018, 1025, International conference proceedings

Association between subjective well-being and presence of primary care dentists in community-dwelling elderly people: A cross-sectional study., Shinsuke Mizutani; Hisae Aoki; Satoru Haresaku; Kaoru Shimada; Michio Ueno; Keiko Kubota; Toru Naito, Jun. 2019, Gerodontology, 36, 2, 134, 141, Scientific journal

Exceptional association rule set mining from oral health assessment database, Kaoru Shimada; Satoshi Noguchi; Michiko Makino; Toru Naito, 2018, Advances in Intelligent Systems and Computing, 659, 429, 438, International conference proceedings

Exceptional association rule set discovery from community-dwelling elderly people database, Shimada K; Aoki H; Kubota K; Haresaku S; Mizutani S; Naito T; Ueno M, 2018, Proc. of the 2018 IEEE International Conference on Systems, Man, and Cybernetics, 3285, 3290, Scientific journal

Association between secondhand smoke exposure and early eruption of deciduous teeth: A cross-sectional study, Hanioka T; Ojima M; Tanaka K; Taniguchi N; Shimada K; Watanabe T, 2018, Tobacco Induced Diseases, 16, Scientific journal

Association rule-based classifier using artificial missing values, Kaoru Shimada; Takaaki Arahira; Takashi Hanioka, 2017, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10357 LNAI, 57, 67, International conference proceedings

Insomnia and depression impair oral health-related quality of life in the old-old: GOHAI and mental health in the old-old, Noguchi S; Makino M; Haresaku S; Shimada K; Naito T, 2016, Geriatrics & Gerontology International, DOI:10.1111/ggi.12816, Scientific journal

A Natural Experiment for Inferring Causal Association between Smoking and Tooth Loss: A Study of a Workplace Contemporary Cohort, Hanioka T; Haresaku S; Suzuki N; Shimada K; Watanabe T; Ojima M; Fujiie K; Watanabe M, 2015, International Journal of Statistics in Medical Research, 4, 4, 331, 336, Scientific journal

不完全データに対応したルールベースの連続値予測法と人工的欠損値の利用, 嶋田香; 荒平高章; 埴岡隆, 2015, E-07, Symposium

An evolutionary method for associative contrast rule mining from incomplete database, Kaoru Shimada; Takashi Hanioka, 2015, Journal of Advanced Computational Intelligence and Intelligent Informatics, 19, 6, 766, 777, Scientific journal

An Evolutionary Rule Mining Method for Continuous Value Prediction from Incomplete Database and Its Application Utilizing Artificial Missing Values, Kaoru Shimada; Takaaki Arahira; Takashi Hanioka, 2015, 2015 IEEE FIRST INTERNATIONAL CONFERENCE ON BIG DATA COMPUTING SERVICE AND APPLICATIONS (BIGDATASERVICE 2015), 392, 399, International conference proceedings

Acquisition of Optimal Attribute Subset through Genetic Algorithm Using GNP-based Class Association Rule Mining, Rong Zhang; Kaoru Shimada; Shingo Mabu; Kotaro Hirasawa, Jul. 2014, IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, 9, 4, 398, 406, Scientific journal

An evolutionary method for exceptional association rule set discovery from incomplete database, Kaoru Shimada; Takashi Hanioka, 2014, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8649, 133, 147, International conference proceedings

The role of tobacco use on dental care and oral disease severity within community dental clinics in Japan, Miki Ojima; Takashi Hanioka; Kaoru Shimada; Satoru Haresaku; Mito Yamamoto; Keiko Tanaka, Jun. 2013, TOBACCO INDUCED DISEASES, 11, 11, Scientific journal

Association between perception of dentist oversupply and expectations of dentistry: a survey of dental graduates in Japan., Takeshi Watanabe; Takashi Hanioka; Mito Yamamoto; Satoru Haresaku; Kaoru Shimada; Toru Naito, Jun. 2013, International dental journal, 63, 3, 137, 44

An application of Q-value-based dynamic programming with Boltzmann distribution to real-world road networks, Shanqing Yu; Shingo Mabu; Manoj Kanta Mainali; Kaoru Shimada; Kotaro Hirasawa, Mar. 2013, IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, 8, 2, 139, 145, Scientific journal

An Evolutionary Associative Contrast Rule Mining Method for Incomplete Database, Shimada K; Hanioka T, 2013, International Conference on Data Mining (DMIN 2013), 160, 166, International conference proceedings

An evolutionary method for associative local distribution rule mining, Kaoru Shimada; Takashi Hanioka, 2013, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7987, 239, 253, International conference proceedings

Impact of various effects of smoking in the mouth on motivating dental patients to quit smoking, Hanioka T; Tsutsui A; Yamamoto M; Haresaku S; Shimada K; Watanabe T; Matsuo T; Ojima M, 2013, International Journal of Statistics in Medical Research, 2, 40, 46, Scientific journal

An evolving associative classifier for incomplete database, Kaoru Shimada, 2012, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7377, 136, 150, International conference proceedings

Searching interesting association rules based on evolutionary computation, Guangfei Yang; Yanzhong Dang; Shingo Mabu; Kaoru Shimada; Kotaro Hirasawa, 2012, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7104, 243, 253, International conference proceedings

An evolutionary approach to rank class association rules with feedback mechanism, Guangfei Yang; Shingo Mabu; Kaoru Shimada; Kotaro Hirasawa, Nov. 2011, EXPERT SYSTEMS WITH APPLICATIONS, 38, 12, 15040, 15048, Scientific journal

Evolutionary Selection of Interesting Class Association Rules Using Genetic Relation Algorithm, Eloy Gonzales; Shingo Mabu; Karla Taboada; Kaoru Shimada; Kotaro Hirasawa, Sep. 2011, IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, 6, 5, 431, 440, Scientific journal

A novel evolutionary method to search interesting association rules by keywords, Guangfei Yang; Shingo Mabu; Kaoru Shimada; Kotaro Hirasawa, Sep. 2011, EXPERT SYSTEMS WITH APPLICATIONS, 38, 10, 13378, 13385, Scientific journal

MBFP Generalized Association Rule Mining and Classification in Traffic Volume Prediction, Huiyu Zhou; Shingo Mabu; Kaoru Shimada; Kotaro Hirasawa, Sep. 2011, IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, 6, 5, 457, 467, Scientific journal

Fuzzy Intertransaction Class Association Rule Mining using Genetic Network Programming for Stock Market Prediction, Yuchen Yang; Shingo Mabu; Kaoru Shimada; Kotaro Hirasawa, Jul. 2011, IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, 6, 4, 353, 360, Scientific journal

Q Value-Based Dynamic Programming with Boltzmann Distribution in large Scale Road Network, S. Yu; Y. Xu; S. Mabu; M. K. Mainali; K. Shimada; K. Hirasawa, May 2011, SICE Journal of Control, Measurement, and System Integration, 4, 2, 129, 136, Scientific journal

Association rule mining using directed graph structure based evolutionary computation, SHIMADA KAORU, 2011, 福岡歯科大学学会雑誌, 37, 4, 111, 124

An Intrusion-Detection Model Based on Fuzzy Class-Association-Rule Mining Using Genetic Network Programming, Shingo Mabu; Ci Chen; Nannan Lu; Kaoru Shimada; Kotaro Hirasawa, Jan. 2011, IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS, 41, 1, 130, 139, Scientific journal

Analysis of Various Interestingness Measures in Class Association Rule Mining, Li X; Mabu S; Zhou H; Shimada K; Hirasawa K, 2011, SICE Journal of Control, Measurement, and System Integration, 4, 295, 304, Scientific journal

Network Intrusion Detection Using Class Association Rule Mining Based on Genetic Network Programming, Ci Chen; Shingo Mabu; Kaoru Shimada; Kotaro Hirasawa, Sep. 2010, IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, 5, 5, 553, 559, Scientific journal

EvoCMAR: A New Evolutionary Method to Directly Mine Association Rules for Classification, Guangfei Yang; Shingo Mabu; Kaoru Shimada; Kotaro Hirasawa, Sep. 2010, IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, 5, 5, 574, 585, Scientific journal

Efficient Pruning of Class Asoociation Rules Using Statics and Genetic Relation Algorithm, E. Gonzales; S. Mabu; K. Taboada; K. Shimada; K. Hirasawa, Sep. 2010, SICE Journal of Control, Measurement, and System Integration, 3, 5, 336, 345, Scientific journal

Mining Fuzzy Association Rules: A General Model Based on Genetic Network Programming and its Applications, Karla Taboada; Shingo Mabu; Eloy Gonzales; Kaoru Shimada; Kotaro Hirasawa, May 2010, IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, 5, 3, 343, 354, Scientific journal

Flexible Rule Mining for Difference Rules and Exception Rules from Incomplete Database, SHIMADA KAORU; HIRASAWA KOTARO, 2010, 電気学会論文誌 C, 130, 10, 1873-1881 (J-STAGE)

重要度指標と調整ノードによる機能局在型Genetic Network Programming, 間普真吾; 江藤慎治; 嶋田香; 平澤宏太郎, Jan. 2010, J Signal Process, 14, 1, 49-59

A method of association rule analysis for incomplete database using genetic network programming, Kaoru Shimada; Kotaro Hirasawa, 2010, Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10, 1115, 1122, International conference proceedings

Adjusting Class Association Rules from Global and Local Perspectives Based on Evolutionary Computation, Guangfei Yang; Jiangning Wu; Shingo Mabu; Kaoru Shimada; Kotaro Hirasawa, 2010, KNOWLEDGE SCIENCE, ENGINEERING AND MANAGEMENT, 6291, 282, 291, International conference proceedings

Time Related Association Rule Mining with Accuracy Validation in Traffic Volume Prediction with Large Scale Simulator, Huiyu Zhou; Shingo Mabu; Kaoru Shimada; Kotaro Hirasawa, 2010, IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC 2010), 2249, 2255, International conference proceedings

Various Temperature Parameter Control Methods in Q value-based Dynamic Programming with Boltzmann Distribution, Shanqing Yu; Shingo Mabu; Manoj Kanta Mainali; Kaoru Shimada; Kotaro Hirasawa, 2010, IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC 2010), 2677, 2683, International conference proceedings

Generalized Rule Extraction and Traffic Prediction in the Optimal Route Search, Huiyu Zhou; Shingo Mabu; Xianneng Li; Kaoru Shimada; Kotaro Hirasawa, 2010, 2010 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2625, 2632, International conference proceedings

Genetic Network Programming with Estimation of Distribution Algorithms for Class Association rule Mining in Traffic Prediction, Xianneng Li; Shingo Mabu; Huiyu Zhou; Kaoru Shimada; Kotaro Hirasawa, 2010, 2010 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 14, 5, 497, 509, International conference proceedings

Pruning association rules using statistics and genetic relation algorithm, Eloy Gonzales; Shingo Mabu; Karla Taboada; Kotaro Hirasawa; Kaoru Shimada, 2010, Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10, 419, 420, International conference proceedings

Time related class association rule mining and its application to traffic prediction, Huiyu Zhou; Shingo Mabu; Wei Wei; Kaoru Shimada; Kotaro Hirasawa, 2010, IEEJ Transactions on Electronics, Information and Systems, 130, 2, 289, 301, Scientific journal

Intertransaction Class Association Rule Mining Based on Genetic Network Programming and its Application to Stock Market Prediction, Y. Yang; S. Mabu; K. Shimada; K Hirasawa, Jan. 2010, SICE Journal of Control, Measurement, and System Integration, 3, 1, 50, 58, Scientific journal

A genetic network programming with learning approach for enhanced stock trading model, Yan Chen; Shingo Mabu; Kaoru Shimada; Kotaro Hirasawa, Dec. 2009, EXPERT SYSTEMS WITH APPLICATIONS, 36, 10, 12537, 12546, Scientific journal

A portfolio optimization model using Genetic Network Programming with control nodes, Yan Chen; Etsushi Ohkawa; Shingo Mabu; Kaoru Shimada; Kotaro Hirasawa, Sep. 2009, EXPERT SYSTEMS WITH APPLICATIONS, 36, 7, 10735, 10745, Scientific journal

交替型遺伝的ネットワークプログラミングによる2つの属性グループの相関ルールの抽出, 嶋田香; WANG Lutao; ZHOU Huiyu; 平澤宏太郎, May 2009, J Signal Process, 13, 3, 267-278, 278

Stock Price Prediction using Neural Networks with RasID-GA, Shingo Mabu; Yan Chen; Dongkyu Sohn; Kaoru Shimada; Kotaro Hirasawa, May 2009, IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, 4, 3, 392, 403, Scientific journal

A Nonlinear Model to Rank Association Rules Based on Semantic Similarity and Genetic Network Programing, Guangfei Yang; Kaoru Shimada; Shingo Mabu; Kotaro Hirasawa, Mar. 2009, IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, 4, 2, 248, 256, Scientific journal

Genetic Network Programming with Rules, F. Ye; L. Yu; S. Mabu; K. Shimada; K. Hirasawa, 2009, 13, 1, 16, 24

Enhancing the generalization ability of neural networks through controlling the hidden layers, Weishui Wan; Shingo Mabu; Kaoru Shimada; Kotaro Hirasawa; Jinglu Hu, Jan. 2009, APPLIED SOFT COMPUTING, 9, 1, 404, 414, Scientific journal

A Study of Double-Deck Elevator Systems Using Genetic Network Programming with Reinforcement Learning, Z. Zhou; L. Yu; S. Mabu; K. Shimada; K. Hirasawa; S. Markon, 2009, Journal of Advanced Computational Intelligence and Intelligent Informatics, 13, 1, 35, 43

Study of multi-branch structure of Universal Learning Networks, Shingo Mabu; Kaoru Shimada; Kotaro Hirasawa; Jinglu Hu, Jan. 2009, APPLIED SOFT COMPUTING, 9, 1, 393, 403, Scientific journal

Real Time Updating Genetic Network Programming for Adapting to the Change of Stock Prices, Y. Chen; S. Mabu; K. Shimada; K. Hirasawa, 2009, IEEJ Trans. EIS（電気学会論文誌C）, 129, 2, 344, 354

Genetic network programming for fuzzy association rule-based classification, Karla Taboada; Shingo Mabu; Eloy Gonzales; Kaoru Shimada; Kotaro Hirasawa, 2009, 2009 IEEE Congress on Evolutionary Computation, CEC 2009, 2387, 2394, International conference proceedings

Generalized Time Related Sequential Association Rule Mining and Traffic Prediction, H. Zhou; S. Mabu; K. Shimada; K. Hirasawa, 2009, IEEE CEC 2009, 2654, 2661

Fuzzy Classification Rule Mining Based on Genetic Network Programming Algorithm, K. Taboada; S. Mabu; E. Gonzales; K. Shimada; K. Hirasawa, 2009, IEEE SMC 2009 / San Antonio, 3960, 3965

Backward Time Related Association Rule mining with Database Rearrangement in Traffic Volume Prediction, H. Zhou; S. Mabu; K. Shimada; K. Hirasawa, 2009, IEEE SMC 2009 / San Antonio, 1047, 1052

Network Intrusion Detection using Fuzzy Class Association Rule Mining Based on Genetic Network Programming, C. Chen; S. Mabu; C. Yue; K. Shimada; K. Hirasawa, 2009, IEEE SMC 2009 / San Antonio, 66, 73

Combination of Two Evolutionary Methods for Mining Association Rules in Large and Dense databases, E. Gonzales; K. Taboada; S. Mabu; K. Shimada; K. Hirasawa, 2009, 13, 5, 561, 572

Q value-based dynamic programming with Boltzmann distribution for global optimal traffic routing strategy, Shanqing Yu; Shingo Mabu; Fengming Ye; Hongqiang Wang; Kaoru Shimada; Kotaro Hirasawa, 2009, Journal of Advanced Computational Intelligence and Intelligent Informatics, 13, 5, 581, 591, Scientific journal

Traffic Flow Prediction with Genetic Network Programming (GNP), H. Zhou; S. Mabu; W. Wei; K. Shimada; K. Hirasawa, 2009, 13, 6, 713, 725

A Traffic-Flow-Adaptive Controller of Double-Deck Elevator Systems using Genetic Network Programming, Jin Zhou; Lu Yu; Shingo Mabu; Kaoru Shimada; Kotaro Hirasawa; Sandor Markon, Nov. 2008, IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, 3, 6, 703, 714, Scientific journal

Optimal Route Based on Dynamic Programming for Road networks, M. K. Mainali; K. Shimada; S. Mabu; K. Hirasawa, Nov. 2008, Journal of Advanced Computer Intelligence and Intelligent Informatics, 12, 6, 546, 553, Scientific journal

Genetic Network Programming with Intron-Like Nodes, MABU SHINGO; CHEN YAN; ETO SHINJI; SHIMADA KAORU; HIRASAWA KOTARO, Aug. 2008, 電気学会論文誌 C, 128, 8, 1312-1319

Association rule mining for continuous attributes using genetic network programming, Karla Taboada; Eloy Gonzales; Kaoru Shimada; Shingo Mabu; Kotaro Hirasawa; Jinglu Hu, Mar. 2008, IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, 3, 2, 199, 211, Scientific journal

Medical Association Rule Mining Using Genetic Network Programming, Kaoru Shimada; Ruoichen Wang; Kotaro Hirasawa; Takayuki Furuzuki, Feb. 2008, ELECTRONICS AND COMMUNICATIONS IN JAPAN, 91, 2, 46, 54, Scientific journal

A Global Optimization Method RasID-GA for Neural Network Training, D. Sohn; S. Mabu; K. Shimada; K. Hirasawa; J. Hu, 2008, Journal of Advanced Computational Intelligence and Intelligent Informatics, 12, 1, 85, 93

Real Time Updating Genetic Network Programming for Adapting the Change of Stock Prices, Y. Chen; S. Mabu; K. Shimada; K. Hirasawa, 2008, IEEE CEC 2008 / Hong Kong, 370, 377

A Genetic Network Programming Based Method to Mine Generalized Association Rules with Ontology, G. Yang; K. Shimada; S. Mabu; K. Hirasawa; J. Hu, 2008, Journal of Advanced Computational Intelligence and Intelligent Informatics, 12, 1, 63, 76

Time Related Association Rule Mining with Attribute Accumulation Mechanism and Its Application to Traffic Prediction, H. Zhou; W. Wei; K. Shimada; S. Mabu; K. Hirasawa, 2008, IEEE CEC 2008 / Hong Kong, 305, 311

Genetic Network Programming based data mining method for extracting fuzzy association rules, Karla Taboada; Eloy Gonzales; Kaoru Shimada; Shingo Mabu; Kotaro Hirasawa, 2008, 2008 IEEE Congress on Evolutionary Computation, CEC 2008, 1756, 1763, International conference proceedings

Double-deck elevator systems adaptive to traffic flows using Genetic Network Programming, Jin Zhou; Lu Yu; Shingo Mabu; Kaoru Shimada; Kotaro Hirasawa; Sandor Markon, 2008, 2008 IEEE Congress on Evolutionary Computation, CEC 2008, 773, 778, International conference proceedings

Evaluating Class Association Rules using Genetic Relation Programming, E. Gonzales; K. Taboada; K. Shimada; S. Mabu; K. Hirasawa, 2008, IEEE CEC 2008 / Hong Kong, 731, 736

Comparative Association Rules Mining using Genetic Network Programming (GNP) with attribute Accumulation Mechanism and Its Application to Traffic Systems, W. Wei; H. Zhou; K. Shimada; S. Mabu; K. Hirasawa, 2008, IEEE CEC 2008 / Hong Kong, 292, 298

Optimal Route of Road Networks by Dynamic Programming, M.K. Mainali; K. Shimada; S. Mabu; K. Hirasawa, 2008, IJCNN 2008 / Hong Kong, 3416, 3420

A Personalaized Association Rule Ranking Method Based on Semantic Similarity and Evolutionary Computation, G. Yang; K. Shimada; S. Mabu; K. Hirasawa, 2008, IEEE CEC 2008 / Hong Kong, 487, 494

Trading Rules on Stock Markets Using Genetic Network Programming with Sarsa Learning, Y. Chen; S. Mabu; K. Shimada; K. Hirasawa, 2008, Journal of Advanced Computational Intelligence and Intelligent Informatics, 12, 4, 383, 392

Time Related Association Rules Mining with Attributes Accumulation Mechanism and its Application to Traffic Prediction, H. Zhou; W. Wei; K. Shimada; S. Mabu; K. Hirasawa, 2008, Journal of Advanced Computational Intelligence and Intelligent Informatics, 12, 5, 467, 478

Double-deck elevator system using genetic network programming with genetic operators based on pheromone information, Lu Yu; Jin Zhou; Fengming Ye; Shingo Mabu; Kaoru Shimada; Kotaro Hirasawa, 2008, Proceedings - 8th International Conference on Hybrid Intelligent Systems, HIS 2008, 84, 89, International conference proceedings

Solving Multi-Objective Optimization Problems by RasID-GA: Using and External Population in Genetic Operators, M. G. Ogata; D. Sohn; S. Mabu; K. Shimada; K. Hirasawa, 2008, 8th International Conference on Hybrid Intelligent Systems / Barcelona, 903, 906

Construction of Portfolio Optimization System using Genetic Network Programming with Control Nodes, Y. Chen; S. Mabu; K. Shimada; K. Hirasawa, 2008, 1693, 1694

Exceptional Association Rule Mining Using Genetic Network Programming, K. Shimada; K. Hirasawa, 2008, 1, 277, 283

Trading Rules on Stock Markets Using Genetic Network Programming with Sarsa Learning, Y. Chen; S. Mabu; K. Shimada; K. Hirasawa, 2008, 12, 4, 383, 392

Time Related Association Rules Mining with Attributes Accumulation Mechanism and its Application to Traffic Prediction, H. Zhou; W. Wei; K. Shimada; S. Mabu; K. Hirasawa, 2008, 12, 5, 467, 478

Buying and selling stocks of multi brands using Genetic Network Programming with control nodes, Etsushi Ohkawa; Yan Chen; Zhiguo Bao; Shingo Mabu; Kaoru Shimada; Kotaro Hirasawa, 2008, IEEJ Transactions on Electronics, Information and Systems, 128, 12, 1811, 1819, Scientific journal

Class association rule mining from incomplete database using Genetic Network Programming, Kaoru Shimada; Shingo Mabu; Eiji Morikawa; Kotaro Hirasawa; Takayuki Furuzuki, 2008, IEEJ Transactions on Electronics, Information and Systems, 128, 5, 16, 803, Scientific journal

Hierarchical association rule mining in large and dense databases using genetic network programming, Eloy Gonzales; Kaoru Shimada; Shingo Mabu; Kotaro Hirasawa; Jinglu Hu, 2007, Proceedings of the SICE Annual Conference, 2686, 2693, International conference proceedings

Mining Association Rules from Databases with Continuous Attributes using Genetic Network Programming, K. Toboada; E. Gonzales; K. Shimada; S. Mabu; K. Hirasawa; J. Hu, 2007, IEEE CEC 2007 / Singapore, 1311, 1317

Training of Multi-Branch Neural Networks uisng RasID-GA, D. Sohn; S. Mabu; K. Shimada; K. Hirasawa; J. Hu, 2007, IEEE CEC 2007 / Singapore, 705, 712

Class association rule mining for large and dense databases with parallel processing of genetic network programming, Eloy Gonzales; Karla Taboada; Kaoru Shimada; Shingo Mabu; Kotaro Hirasawa; Jinglu Hu, 2007, 2007 IEEE Congress on Evolutionary Computation, CEC 2007, 4615, 4622, International conference proceedings

Association Rules Mining for Handling Continuous Attributes using Genetic Network Programming and Fuzzy Membership Functions, K. Taboada; K. Shimada; S. Mabu; K. Hirasawa; J. Hu, 2007, SICE 2007 / Takamatsu, 2723, 2729

A Genetic Network Programming based method to Mine Generalized Association Rules with Ontology, G. Yang; K. Shimada; S. Mabu; K. Hirasawa; J. Hu, 2007, SICE 2007 / Takamatsu, 2715, 2722

Adaptation and Self Adaptation Mechanism in Genetic Network Programming for Mining Association Rules, K. Taboada; E. Gonzales; K. Shimada; S. Mabu; K. Hirasawa; J. Hu, 2007, 11, 3, 343, 353

Genetic Network Programming with Class Association Rule Acquisition Mechanisms from Incomplete Databases, K. Shimada; K. Hirasawa; J. Hu, 2007, 2708, 2714

Association Rule Mining Using Genetic Network Programming, SHIMADA KAORU; HIRASAWA KOTARO; FURUZUKI TAKAYUKI, Dec. 2006, 知能と情報, 18, 6, 881-891, 891

Genetic Network Programming with Acquisition Mechanism of Association Rules, K.Shimada; K.Hirasawa; J.Hu, 2006, Journal of Advanced Computational Intelligence and Intelligent Informatics, 10, 1, 102, 111, Scientific journal

Class association rule mining with chi-squared test using Genetic Network Programming, Kaoru Shimada; Kotaro Hirasawa; Jinglu Hu, 2006, Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, 6, 5338, 5344, International conference proceedings

Association Rule Mining with Chi-Squared Test Using Alternate Genetic Network Programming, K. Shimada; K. Hirasawa; J. Hu, 2006, Lecture Notes in Artificial Intelligence (Advances in Data Mining), 4065, 202, 216, Scientific journal

Self-Adaptive Mechanism in Genetic Network Programming for Mining Association Rules, K. Taboada; K. Shimada; S. Mabu; K. Hirasawa; J. Hu, 2006, SICE 2006 / Pusan, 6007, 6012

Alternate Genetic Network Programming with Associate Rule Acquisition Mechanism Between Attribute Families, K. Shimada; K. Hirasawa; J. Hu, 2006, Journal of Advanced computational Intelligence and Intelligent Informatics, 10, 6, 954, 963

Medical association rule mining using genetic network programming, Kaoru Shimada; Rouchen Wang; Kotaro Hirasawa; Takayuki Furuzuki, 2006, IEEJ Transactions on Electronics, Information and Systems, 126, 7, 849, 856, Scientific journal

Association Rule Mining Using Genetic Network Programming, K. Shimada; K. Hirasawa; T. Furutsuki, 2005, AROB 2005 / Beppu, 240, 245

Genetic Network Programming with Association Rule Acquisition Mechanisms, K. Shimada; K. Hirasawa; J. Hu, 2005, SICE 2005 / Okayama, 13, 18

Genetic Network Programming with Acquisition Mechanisms of Association Rules in Dense Database, K. Shimada; K. Hirasawa; J. Hu, 2005, CIMCA 2005 / Vienna, 2, 47, 54

獲得した情報を用いる遺伝的ネットワークプログラミングによるデータマイニング, 嶋田香; 平澤宏太郎; 古月敬之, 2005, 46, 10, 2576, 2586

成果蓄積型の進化計算手法を用いたファジィルール群の発見, 大岡映介，嶋田香, Sep. 2025, 741, 746

属性重要度評価のための人工的欠損値を用いた方法, 濵名美叶、嶋田香, Mar. 2025, 2, 805, 806, Summary national conference

遺伝的アルゴリズムを用いた深層埋め込みクラスタリングの初期クラスタ中心最適化, 店網周平、嶋田香, Mar. 2025, 2, 843, 844, Summary national conference

進化型の成果蓄積型ルール発見手法における初期個体群構成方法, 前田一樹，嶋田香, Sep. 2024, 257, 262, Summary national conference

統計的な背景を持つアイテム集合の発見に基づくロジスティック回帰分析の近似的な方法の提案, 小田朱莉，嶋田香, Sep. 2024, 252, 256, Summary national conference

GNMinerの拡張：連続属性値に基づく個別性を考慮したルール発見, 鈴木康浩、嶋田香, May 2024, Summary national conference

成果蓄積進化型知識発見手法における突然変異率制御の検討, 前田一樹，嶋田香, 15 Mar. 2024, 2, 779, 780, Summary national conference

2変数間に相関を持つアイテム集合を応用した分析方法の検討, 小田朱莉，嶋田香, 15 Mar. 2024, 2, 261, 262, Summary national conference

統計的に特徴的なアイテム集合群を用いた意味的な類似度, 嶋田香, 第88回 情報処理学会全国大会, Mar. 2026, Japanese

統計的に特徴的な背景を持つアイテムセットを発見するための進化計算方法, 嶋田香, 2022年度 人工知能学会全国大会（第36回）, 15 Jun. 2022

２つの連続変数間の統計的特性を背景とするアイテム集合, 嶋田香, 2022年度統計関連学会連合大会, 07 Sep. 2022

Evolutionary Method for Two-dimensional Associative Local Distribution Rule Mining, Kaoru Shimada, The 33rd IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 03 Nov. 2021

Evolutionary Method to Discover Itemsets with Statistically Distinctive Backgrounds, Kaoru Shimada, 2021 IEEE Fourth International Conference on Artificial Intelligence and Knowledge Engineering (AIKE, 02 Dec. 2021

Patent right, 特願2008-171187, 30 Jun. 2008, 特開2010-009510, 14 Jan. 2010, 特許5070574

Patent right, 特願2008-141901, 30 May 2008, 特開2009-288118, 10 Dec. 2009, 特許5024959

2025, 2027, Principal investigator, Competitive research funding, 25K15226

Kaoru Shimada; Takaaki Arahira, Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (C), Grant-in-Aid for Scientific Research (C), Gunma Univ. ; Fukuoka Nursing College, Apr. 2020, Mar. 2023, Principal investigator, 20K11964

Kaoru Shimada, Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (C), 2016, 2018, Principal investigator, Competitive research funding

Kaoru Shimada, 2012, 2014, Principal investigator, Competitive research funding, 24500191

Study on Hierarchical and Function Localized Brain-like Systems, Ministry of Education, Culture, Sports, Science and Technology, Grants-in-Aid for Scientific Research(B), Waseda Univ., 2006, 2009, Coinvestigator not use grants, Competitive research funding, 18360191

Study on Learning and Evolution of Genetic Network Programming and Its Application, Kotaro HIRASAWA; Toru Eguchi; Takayuki Furutsuki; Shingo Mabu; Kaoru Shimada, Ministry of Education, Culture, Sports, Science and Technology, Grants-in-Aid for Scientific Research(B), Waseda Univ., 2005, 2007, Coinvestigator not use grants, Competitive research funding, 17360186