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2020 – today
- 2025
[j79]Daisuke Miura, Hiromi Suenaga, Rino Hiwatashi, Shingo Mabu:
Liver fibrosis stage classification in stacked microvascular images based on deep learning. BMC Medical Imaging 25(1): 8 (2025)- 2024
- [j78]Yoshihito Ichiuji, Shingo Mabu
, Satomi Hatta, Kunihiro Inai, Shohei Higuchi, Shoji Kido:
Domain transformation using semi-supervised CycleGAN for improving performance of classifying thyroid tissue images. Int. J. Comput. Assist. Radiol. Surg. 19(11): 2153-2163 (2024) - [c122]Muhammad Asri Safi'Ie, Kunhao Yang, Shingo Mabu:
Emotion Detection on Fraudulent Accounts Using BERT and Kleinberg's Burst Algorithms in Indonesian Text. INISTA 2024: 1-5 - 2023
- [j77]Hanguang Xiao, Zhiqiang Ran, Shingo Mabu, Yuewei Li, Li Li:
SAUNet++: an automatic segmentation model of COVID-19 lesion from CT slices. Vis. Comput. 39(6): 2291-2304 (2023) - [c121]Thanawit Gerdprasert, Shingo Mabu:
Pseudo-Labeling With Contrastive Perturbation Using CNN & ViT for Chest X-ray Classification. IWCIA 2023: 65-69 - [c120]Ryosuke Wakamoto, Shingo Mabu:
Interpretable Anomaly Detection for Lung Sounds Using Topology. ICAIIC 2023: 521-526 - 2022
- [j76]Jiaqi Wu, Muki Furuzuki, Guangxu Li, Tohru Kamiya, Shingo Mabu, Masahiro Tanabe, Katsuyoshi Ito, Shoji Kido:
Segmentation of liver tumors in multiphase computed tomography images using hybrid method. Comput. Electr. Eng. 97: 107626 (2022) - [j75]Shoji Kido, Shunske Kidera, Yasushi Hirano, Shingo Mabu, Tohru Kamiya, Nobuyuki Tanaka, Yuki Suzuki, Yanagawa Masahiro, Noriyuki Tomiyama:
Segmentation of Lung Nodules on CT Images Using a Nested Three-Dimensional Fully Connected Convolutional Network. Frontiers Artif. Intell. 5: 782225 (2022) - 2021
- [j74]Shingo Mabu, Masashi Miyake, Takashi Kuremoto, Shoji Kido:
Semi-supervised CycleGAN for domain transformation of chest CT images and its application to opacity classification of diffuse lung diseases. Int. J. Comput. Assist. Radiol. Surg. 16(11): 1925-1935 (2021) - [j73]Naoki Asatani, Tohru Kamiya, Shingo Mabu, Shoji Kido:
Classification of respiratory sounds using improved convolutional recurrent neural network. Comput. Electr. Eng. 94: 107367 (2021) - [j72]Shingo Mabu, Soichiro Hirata, Takashi Kuremoto:
Anomaly Detection Using Convolutional Adversarial Autoencoder and One-class SVM for Landslide Area Detection from Synthetic Aperture Radar Images. J. Robotics Netw. Artif. Life 8(2): 139-144 (2021) - [c119]Thanawit Gerdprasert, Shingo Mabu:
Object Detection for Chest X-ray Image Diagnosis Using Deep Learning with Pseudo Labeling. IWCIA 2021: 1-5 - 2020
- [j71]Shingo Mabu, Ami Atsumo, Shoji Kido, Takashi Kuremoto, Yasushi Hirano:
Investigating the Effects of Transfer Learning on ROI-based Classification of Chest CT Images: A Case Study on Diffuse Lung Diseases. J. Signal Process. Syst. 92(3): 307-313 (2020) - [c118]Koki Minami, Huimin Lu, Tohru Kamiya, Shingo Mabu, Shoji Kido:
Automatic Classification of Respiratory Sounds Based on Convolutional Neural Network with Multi Images. ICBSP 2020: 17-21 - [p2]Takashi Kuremoto, Takaomi Hirata, Masanao Obayashi, Kunikazu Kobayashi, Shingo Mabu:
Search Heuristics for the Optimization of DBN for Time Series Forecasting. Deep Neural Evolution 2020: 131-152
2010 – 2019
- 2019
- [j70]Shingo Mabu, Kohki Fujita, Takashi Kuremoto:
Disaster Area Detection from Synthetic Aperture Radar Images Using Convolutional Autoencoder and One-class SVM. J. Robotics Netw. Artif. Life 6(1): 48-51 (2019) - [c117]Takashi Kuremoto, Takuji Tsuruda, Shingo Mabu:
Summarizing Articles into Sentences by Hierarchical Attention Model and RNN Language Model. CISP-BMEI 2019: 1-6 - [c116]Takashi Kuremoto, Hiroki Matsusaka, Masanao Obayashi, Shingo Mabu, Kunikazu Kobayashi:
An Improved Fuzzy Neural Network for Reinforcement Learning. ICBDR 2019: 88-93 - 2018
- [j69]Takaomi Hirata, Takashi Kuremoto, Masanao Obayashi, Shingo Mabu, Kunikazu Kobayashi:
Forecasting Real Time Series Data using Deep Belief Net and Reinforcement Learning. J. Robotics Netw. Artif. Life 4(4): 260-264 (2018) - [j68]Takashi Kuremoto, Yuki Baba, Masanao Obayashi, Shingo Mabu, Kunikazu Kobayashi:
Enhancing EEG Signals Recognition Using ROC Curve. J. Robotics Netw. Artif. Life 4(4): 283-286 (2018) - [j67]Shingo Mabu, Kyoichiro Kobayashi, Masanao Obayashi, Takashi Kuremoto:
Unsupervised Image Classification Using Multi-Autoencoder and K-means++. J. Robotics Netw. Artif. Life 5(1): 75-78 (2018) - [c115]Yan-Ping Liu, Chang-Hui Yang, Huang Ling, Shingo Mabu, Takashi Kuremoto:
A Visual System of Citrus Picking Robot Using Convolutional Neural Networks. ICSAI 2018: 344-349 - [c114]Shingo Mabu, Shoji Kido, Noriaki Hashimoto, Yasushi Hirano, Takashi Kuremoto:
Opacity annotation of diffuse lung diseases using deep convolutional neural network with multi-channel information. Computer-Aided Diagnosis 2018: 1057534 - 2017
- [j66]Shanqing Yu, Deng Zhang, Shingo Mabu, Jinyin Chen, Kotaro Hirasawa:
Improving the robustness of GNP-PCA using the multiagent system. Appl. Soft Comput. 61: 757-764 (2017) - [j65]Shingo Mabu, Masanao Obayashi, Takashi Kuremoto, Noriaki Hashimoto, Yasushi Hirano, Shoji Kido:
Unsupervised class labeling of diffuse lung diseases using frequent attribute patterns. Int. J. Comput. Assist. Radiol. Surg. 12(3): 519-528 (2017) - [j64]Shingo Mabu, Kenzoh Azakami, Masanao Obayashi, Takashi Kuremoto:
A Rule-Based Classification System Enhanced by Multi-Objective Genetic Algorithm. J. Robotics Netw. Artif. Life 4(3): 239-242 (2017) - [c113]Masanao Obayashi, Takeshi Aridome, Takashi Kuremoto, Shingo Mabu:
Leader-Follower Adaptive Formation Control without Observation of Agent's Velocity Using Wavelet Neural Network. ICMLC 2017: 172-178 - 2016
- [j63]Shingo Mabu, Shun Gotoh, Masanao Obayashi, Takashi Kuremoto:
A random-forests-based classifier using class association rules and its application to an intrusion detection system. Artif. Life Robotics 21(3): 371-377 (2016) - [j62]Wirarama Wedashwara, Shingo Mabu, Masanao Obayashi, Takashi Kuremoto:
Combination of genetic network programming and knapsack problem to support record clustering on distributed databases. Expert Syst. Appl. 46: 15-23 (2016) - [j61]Takashi Kuremoto, Takuhiro Otani, Masanao Obayashi, Kunikazu Kobayashi, Shingo Mabu:
A hand shape instruction recognition and learning system using growing SOM with asymmetric neighborhood function. Neurocomputing 188: 31-41 (2016) - [j60]Masanao Obayashi, Takuya Geshi, Takashi Kuremoto, Shingo Mabu:
An Optimization of Spatio-Spectral Filter Bank Design for EEG Classification. J. Robotics Netw. Artif. Life 2(4): 217-220 (2016) - [j59]Shingo Mabu, Masanao Obayashi, Takashi Kuremoto:
An Evolutionary Algorithm for Making Decision Graphs for Classification Problems. J. Robotics Netw. Artif. Life 3(1): 45-49 (2016) - [c112]Masanao Obayashi, Takeshi Aridome, Takashi Kuremoto, Shingo Mabu:
Leader-Follower Formation Control Using Cerebellar Perceptron Improved Model with Auto-structuring. CSE/EUC/DCABES 2016: 423-431 - [c111]Takaomi Hirata, Takashi Kuremoto, Masanao Obayashi, Shingo Mabu, Kunikazu Kobayashi:
Deep Belief Network Using Reinforcement Learning and Its Applications to Time Series Forecasting. ICONIP (3) 2016: 30-37 - [c110]Takashi Kuremoto, Yuya Kuzukami, Masanao Obayashi, Shingo Mabu, Kunikazu Kobayashi:
RP-AG-SOM: A Growing Self-organizing Map with Assymetric Neighborhood Function and Variable Radius. IntelliSys (1) 2016: 404-418 - 2015
- [j58]Shingo Mabu, Masanao Obayashi, Takashi Kuremoto:
Ensemble learning of rule-based evolutionary algorithm using multi-layer perceptron for supporting decisions in stock trading problems. Appl. Soft Comput. 36: 357-367 (2015) - [j57]Shingo Mabu, Wenjing Li, Kotaro Hirasawa:
A Class Association Rule Based Classifier Using Probability Density Functions for Intrusion Detection Systems. J. Adv. Comput. Intell. Intell. Informatics 19(4): 555-566 (2015) - [j56]Shingo Mabu, Masanao Obayashi, Takashi Kuremoto:
Reinforcement Learning with Symbiotic Relationships for Multiagent Environments. J. Robotics Netw. Artif. Life 2(1): 40-45 (2015) - [j55]Wirarama Wedashwara, Shingo Mabu, Masanao Obayashi, Takashi Kuremoto:
On-line Rule Updating System Using Evolutionary Computation for Managing Distributed Database. J. Robotics Netw. Artif. Life 2(2): 73-78 (2015) - [c109]Masanao Obayashi, Taiki Yamane, Takashi Kuremoto, Shingo Mabu, Kunikazu Kobayashi:
An Autonomous Mobile Robot with Functions of Action Learning, Memorizing, Recall and Identifying the Environment Using Gaussian Mixture Model. ICONIP (1) 2015: 272-282 - [c108]Wirarama Wedashwara, Shingo Mabu, Masanao Obayashi, Takashi Kuremoto:
Evolutionary Rule Based Clustering for Making Fuzzy Object Oriented Database Models. IIAI-AAI 2015: 517-522 - [c107]Masanao Obayashi, Shunsuke Uto, Takashi Kuremoto, Shingo Mabu, Kunikazu Kobayashi:
An Extended Q Learning System with Emotion State to Make Up an Agent with Individuality. IJCCI (NCTA) 2015: 70-78 - [c106]Masanao Obayashi, Shunsuke Uto, Takashi Kuremoto, Shingo Mabu, Kunikazu Kobayashi:
An Emotional Robot. IJCCI (Selected Papers) 2015: 423-443 - 2014
- [j54]Shingo Mabu, Kotaro Hirasawa, Masanao Obayashi, Takashi Kuremoto:
A variable size mechanism of distributed graph programs and its performance evaluation in agent control problems. Expert Syst. Appl. 41(4): 1663-1671 (2014) - [j53]Takashi Kuremoto, Takuhiro Otani, Shingo Mabu, Masanao Obayashi, Kunikazu Kobayashi:
One-D-R-A-G-SOM and its Application to a Hand Shape Instruction Learning System. Int. J. Networked Distributed Comput. 2(3): 166-174 (2014) - [j52]Shogo Watada, Masanao Obayashi, Takashi Kuremoto, Shingo Mabu:
A Decision Making System of Robots Introducing a Re-construction of Emotions Based on Their Own Experiences. J. Robotics Netw. Artif. Life 1(1): 27-32 (2014) - [j51]Shun Watanabe, Takashi Kuremoto, Shingo Mabu, Masanao Obayashi, Kunikazu Kobayashi:
The Recollection Characteristics of Generalized MCNN Using Different Control Methods. J. Robotics Netw. Artif. Life 1(1): 73-79 (2014) - [j50]Xianneng Li, Shingo Mabu, Kotaro Hirasawa:
A Novel Graph-Based Estimation of the Distribution Algorithm and its Extension Using Reinforcement Learning. IEEE Trans. Evol. Comput. 18(1): 98-113 (2014) - [c105]Takashi Kuremoto, Takuhiro Otani, Masanao Obayashi, Kunikazu Kobayashi, Shingo Mabu:
A Hand Shape Instruction Recognition and Learning System Using Growing SOM with Asymmetric Neighborhood Function. ICIC (1) 2014: 269-276 - [c104]Takashi Kuremoto, Masanao Obayashi, Kunikazu Kobayashi, Shingo Mabu:
How an Adaptive Learning Rate Benefits Neuro-Fuzzy Reinforcement Learning Systems. ICSI (1) 2014: 324-331 - [c103]Shingo Mabu, Masanao Obayashi, Takashi Kuremoto:
Ensemble learning of rule-based evolutionary algorithm using multi layer perceptron for stock trading models. SCIS&ISIS 2014: 624-629 - [c102]Takashi Kuremoto, Takuhiro Otani, Masanao Obayashi, Kunikazu Kobayashi, Shingo Mabu:
One dimensional ring type growing SOM with asymmetric neighborhood function and its application to a hand shape instruction learning system. SNPD 2014: 1-6 - 2013
- [j49]Shingo Mabu, Kotaro Hirasawa, Masanao Obayashi, Takashi Kuremoto:
Enhanced decision making mechanism of rule-based genetic network programming for creating stock trading signals. Expert Syst. Appl. 40(16): 6311-6320 (2013) - [j48]Takashi Kuremoto, Tetsuya Tsurusaki, Kunikazu Kobayashi, Shingo Mabu, Masanao Obayashi:
An Improved Reinforcement Learning System Using Affective Factors. Robotics 2(3): 149-164 (2013) - [c101]Shingo Mabu, Kotaro Hirasawa, Masanao Obayashi, Takashi Kuremoto:
A variable size mechanism of distributed graph programs for creating agent behaviors. IEEE Congress on Evolutionary Computation 2013: 1756-1762 - [c100]Takashi Kuremoto, Tetsuya Tsurusaki, Kunikazu Kobayashi, Shingo Mabu, Masanao Obayashi:
A Model of Emotional Intelligent Agent for Cooperative Goal Exploration. ICIC (1) 2013: 21-30 - [c99]Masanao Obayashi, Takuya Kamikariya, Shogo Uchiyama, Shogo Watada, Takashi Kuremoto, Shingo Mabu, Kunikazu Kobayashi:
Adaptive Control System Based on Self-Organizing Wavelet Neural Network with H8 Tracking Performance Compensator. SMC 2013: 3232-3237 - 2012
- [j47]Yan Chen, Shingo Mabu, Kotaro Hirasawa:
Erratum to "Genetic relation algorithm with guided mutation for the large-scale portfolio optimization" [Expert Systems with Applications 38 (4) (2011) 3353-3363]. Expert Syst. Appl. 39(3): 3896 (2012) - [j46]Shingo Mabu, Andre Tjahjadi, Kotaro Hirasawa:
Adaptability analysis of genetic network programming with reinforcement learning in dynamically changing environments. Expert Syst. Appl. 39(16): 12349-12357 (2012) - [j45]Yang Yang, Zhaoping He, Shingo Mabu, Kotaro Hirasawa:
A Cooperative Coevolutionary Stock Trading Model Using Genetic Network Programming-Sarsa. J. Adv. Comput. Intell. Intell. Informatics 16(5): 581-590 (2012) - [j44]Shingo Mabu, Fengming Ye, Kotaro Hirasawa:
An Explicit Memory Scheme of Genetic Network Programming. J. Adv. Comput. Intell. Intell. Informatics 16(7): 851-863 (2012) - [c98]Xianneng Li, Bing Li, Shingo Mabu, Kotaro Hirasawa:
A continuous estimation of distribution algorithm by evolving graph structures using reinforcement learning. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c97]Bing Li, Xianneng Li, Shingo Mabu, Kotaro Hirasawa:
Towards automatic discovery and reuse of subroutines in Variable Size Genetic Network Programming. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c96]Lutao Wang, Wei Xu, Shingo Mabu, Kotaro Hirasawa:
Rule accumulation method based on Credit Genetic Network Programming. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c95]Yang Yang, Shingo Mabu, Kotaro Hirasawa:
A multitasks learning approach to autonomous agent based on Genetic Network Programming. IEEE Congress on Evolutionary Computation 2012: 1-7 - [c94]Shanqing Yu, Jing Zhou, Bing Li, Shingo Mabu, Kotaro Hirasawa:
Q value-based Dynamic Programming with SARSA Learning for real time route guidance in large scale road networks. IJCNN 2012: 1-7 - [c93]Nannan Lu, Shingo Mabu, Tuo Wang, Kotaro Hirasawa:
Integrated fuzzy GNP rule mining with distance-based classification for intrusion detection system. SMC 2012: 1569-1574 - [c92]Chuan Yue, Shingo Mabu, Kotaro Hirasawa:
A bidding strategy using genetic network programming with adjusting parameters for large-scale continuous double auction. SMC 2012: 1896-1902 - 2011
- [j43]Shingo Mabu, Kotaro Hirasawa:
Efficient program generation by evolving graph structures with multi-start nodes. Appl. Soft Comput. 11(4): 3618-3624 (2011) - [j42]Yan Chen, Shingo Mabu, Kotaro Hirasawa:
Genetic relation algorithm with guided mutation for the large-scale portfolio optimization. Expert Syst. Appl. 38(4): 3353-3363 (2011) - [j41]Guangfei Yang, Shingo Mabu, Kaoru Shimada, Kotaro Hirasawa:
A novel evolutionary method to search interesting association rules by keywords. Expert Syst. Appl. 38(10): 13378-13385 (2011) - [j40]Guangfei Yang, Shingo Mabu, Kaoru Shimada, Kotaro Hirasawa:
An evolutionary approach to rank class association rules with feedback mechanism. Expert Syst. Appl. 38(12): 15040-15048 (2011) - [j39]Shingo Mabu, Donggeng Yu, Chuan Yue, Kotaro Hirasawa:
No Time Limit and Time Limit Model of Multiple Round Dutch Auction Based on Genetic Network Programming. J. Adv. Comput. Intell. Intell. Informatics 15(1): 3-12 (2011) - [j38]Yang Yang, Shingo Mabu, Jianhua Li, Kotaro Hirasawa:
Genetic Network Programming-Sarsa with Subroutines for Trading Rules on Stock Markets. J. Adv. Comput. Intell. Intell. Informatics 15(5): 488-494 (2011) - [j37]Nannan Lu, Shingo Mabu, Kotaro Hirasawa:
Integrated Rule Mining Based on Fuzzy GNP and Probabilistic Classification for Intrusion Detection. J. Adv. Comput. Intell. Intell. Informatics 15(5): 495-505 (2011) - [j36]Yafei Xing, Shingo Mabu, Lian Yuzhu, Kotaro Hirasawa:
Multi-Order Rules Extraction by Genetic Network Programming with Rule Accumulation and its Application to Stock Trading Problems. J. Adv. Comput. Intell. Intell. Informatics 15(5): 515-524 (2011) - [j35]Chuan Yue, Shingo Mabu, Kotaro Hirasawa:
Enhancing Bidding Strategy Using Genetic Network Programming in Agent-Based Multiple Round English Auction. J. Adv. Comput. Intell. Intell. Informatics 15(7): 747-758 (2011) - [j34]Siti Sendari, Shingo Mabu, Andre Tjahjadi, Kotaro Hirasawa:
Fuzzy Genetic Network Programming with Noises for Mobile Robot Navigation. J. Adv. Comput. Intell. Intell. Informatics 15(7): 767-776 (2011) - [j33]Shingo Mabu, Ci Chen, Nannan Lu, Kaoru Shimada, Kotaro Hirasawa:
An Intrusion-Detection Model Based on Fuzzy Class-Association-Rule Mining Using Genetic Network Programming. IEEE Trans. Syst. Man Cybern. Part C 41(1): 130-139 (2011) - [c91]Xianneng Li, Bing Li, Shingo Mabu, Kotaro Hirasawa:
A novel estimation of distribution algorithm using graph-based chromosome representation and reinforcement learning. IEEE Congress on Evolutionary Computation 2011: 37-44 - [c90]Deng Zhang, Shingo Mabu, Feng Wen, Kotaro Hirasawa:
A sequential subspace face recognition framework using genetic-based clustering. IEEE Congress on Evolutionary Computation 2011: 394-400 - [c89]Bing Li, Xianneng Li, Shingo Mabu, Kotaro Hirasawa:
Variable Size Genetic Network Programming with Binomial Distribution. IEEE Congress on Evolutionary Computation 2011: 973-980 - [c88]Lutao Wang, Shingo Mabu, Kotaro Hirasawa:
Genetic Network Programming with updating rule accumulation. IEEE Congress on Evolutionary Computation 2011: 2259-2266 - [c87]Yafei Xing, Shingo Mabu, Kotaro Hirasawa:
Pruning generalized rules for stock markets accumulated by Genetic Network Programming with Rule Accumulation. IEEE Congress on Evolutionary Computation 2011: 2473-2479 - [c86]Fengming Ye, Shingo Mabu, Kotaro Hirasawa:
A memory scheme for genetic network programming with adaptive mutation. GECCO (Companion) 2011: 179-180 - [c85]Victor Parque, Shingo Mabu, Kotaro Hirasawa:
Genetic network programming with changing structures for a novel stock selection model. GECCO (Companion) 2011: 239-240 - [c84]Xianneng Li, Shingo Mabu, Kotaro Hirasawa:
Use of infeasible individuals in probabilistic model building genetic network programming. GECCO 2011: 601-608 - [c83]Shingo Mabu, Kotaro Hirasawa:
Enhanced rule extraction and classification mechanism of genetic network programming for stock trading signal generation. GECCO 2011: 1659-1666 - [c82]Guangfei Yang, Yanzhong Dang, Shingo Mabu, Kaoru Shimada, Kotaro Hirasawa:
Searching Interesting Association Rules Based on Evolutionary Computation. PAKDD Workshops 2011: 243-253 - [c81]Chuan Yue, Shingo Mabu, Kotaro Hirasawa:
A bidding strategy for Continuous Double Auctions based on Genetic Network Programming with generalized judgments. SMC 2011: 144-151 - [c80]Deng Zhang, Shingo Mabu, Feng Wen, Kotaro Hirasawa:
A supervised learning framework for PCA-based face recognition using GNP fuzzy data mining. SMC 2011: 516-520 - [c79]Shanqing Yu, Shingo Mabu, Manoj Kanta Mainali, Kaoru Shimada, Kotaro Hirasawa:
Dynamic traffic management model for real world road networks. SMC 2011: 2197-2202 - [c78]Huiyu Zhou, Shingo Mabu, Kaoru Shimada, Kotaro Hirasawa:
Traffic prediction using time related association rules and vehicle routing. SMC 2011: 2203-2208 - [c77]Siti Sendari, Shingo Mabu, Kotaro Hirasawa:
Fuzzy genetic Network Programming with Reinforcement Learning for mobile robot navigation. SMC 2011: 2243-2248 - 2010
- [j32]Yan Chen, Shingo Mabu, Kotaro Hirasawa:
A model of portfolio optimization using time adapting genetic network programming. Comput. Oper. Res. 37(10): 1697-1707 (2010) - [j31]Md. Tofazzal Hossain, Shingo Mabu, Kotaro Hirasawa:
An Evolutionary Negotiation Model Using Genetic Network Programming. J. Adv. Comput. Intell. Intell. Informatics 14(2): 215-223 (2010) - [j30]Qingbiao Meng, Shingo Mabu, Lu Yu, Kotaro Hirasawa:
A Novel Taxi Dispatch System Integrating a Multi-Customer Strategy and Genetic Network Programming. J. Adv. Comput. Intell. Intell. Informatics 14(5): 442-452 (2010) - [j29]Victor Parque, Shingo Mabu, Kotaro Hirasawa:
Evolving Asset Portfolios by Genetic Relation Algorithm. J. Adv. Comput. Intell. Intell. Informatics 14(5): 464-474 (2010) - [j28]Shingo Mabu, Lu Yu, Jin Zhou, Shinji Eto, Kotaro Hirasawa:
A Double-Deck Elevator Systems Controller with Idle Cage Assignment Algorithm Using Genetic Network Programming. J. Adv. Comput. Intell. Intell. Informatics 14(5): 487-496 (2010) - [j27]Xianneng Li, Shingo Mabu, Huiyu Zhou, Kaoru Shimada, Kotaro Hirasawa:
Genetic Network Programming with Estimation of Distribution Algorithms for Class Association Rule Mining in Traffic Prediction. J. Adv. Comput. Intell. Intell. Informatics 14(5): 497-509 (2010) - [c76]Yan Chen, Shingo Mabu, Kotaro Hirasawa:
A portfolio selection strategy using Genetic Relation Algorithm. IEEE Congress on Evolutionary Computation 2010: 1-7 - [c75]Xianneng Li, Shingo Mabu, Huiyu Zhou, Kaoru Shimada, Kotaro Hirasawa:
Genetic Network Programming with Estimation of Distribution Algorithms for class association rule mining in traffic prediction. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c74]Shingo Mabu, Wenjing Li, Nannan Lu, Yu Wang, Kotaro Hirasawa:
Classification based on a multi-dimensional probability distribution and its application to network intrusion detection. IEEE Congress on Evolutionary Computation 2010: 1-7 - [c73]Qingbiao Meng, Shingo Mabu, Yu Wang, Kotaro Hirasawa:
Guiding the evolution of Genetic Network Programming with reinforcement learning. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c72]Lutao Wang, Shingo Mabu, Qingbiao Meng, Kotaro Hirasawa:
Genetic Network Programming with generalized rule accumulation. IEEE Congress on Evolutionary Computation 2010: 1-7 - [c71]Yu Wang, Shingo Mabu, Qingbiao Meng, Manoj Kanta Mainali, Kotaro Hirasawa:
Multiple ODs routing algorithm for traffic systems using GA. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c70]Chuan Yue, Shingo Mabu, Donggeng Yu, Yu Wang, Kotaro Hirasawa:
A bidding strategy of multiple round auctions based on Genetic Network Programming. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c69]Huiyu Zhou, Shingo Mabu, Xianneng Li, Kaoru Shimada, Kotaro Hirasawa:
Generalized rule extraction and traffic prediction in the optimal route search. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c68]Eloy Gonzales, Shingo Mabu, Karla Taboada, Kotaro Hirasawa, Kaoru Shimada:
Pruning association rules using statistics and genetic relation algoritm. GECCO 2010: 419-420 - [c67]Lu Yu, Shingo Mabu, Jin Zhou, Shinji Eto, Kotaro Hirasawa:
A double-deck elevator systems controller with idle cage assignment algorithm using genetic network programming. GECCO 2010: 1313-1314 - [c66]Guangfei Yang, Jiangning Wu, Shingo Mabu, Kaoru Shimada, Kotaro Hirasawa:
Adjusting Class Association Rules from Global and Local Perspectives Based on Evolutionary Computation. KSEM 2010: 282-291 - [c65]Manoj Kanta Mainali, Kotaro Hirasawa, Shingo Mabu:
Evolutionary approach for the traffic volume estimation of road sections. SMC 2010: 100-105 - [c64]Manoj Kanta Mainali, Shingo Mabu, Xianneng Li, Kotaro Hirasawa:
Optimal route planning with restrictions for car navigation systems. SMC 2010: 393-397 - [c63]Victor Parque, Shingo Mabu, Kotaro Hirasawa:
Asset selection in global financial markets using Genetic Network Programming. SMC 2010: 677-683 - [c62]Yang Yang, Jianhua Li, Shingo Mabu, Kotaro Hirasawa:
GNP-Sarsa with subroutines for trading rules on stock markets. SMC 2010: 1161-1165 - [c61]Lu Yu, Shingo Mabu, Kotaro Hirasawa:
Multi-car elevator system using Genetic Network Programming for high-rise building. SMC 2010: 1216-1222 - [c60]Qingbiao Meng, Shingo Mabu, Kotaro Hirasawa:
Genetic Network Programming with Sarsa Learning Based Nonuniform Mutation. SMC 2010: 1273-1278 - [c59]Shingo Mabu, Andre Tjahjadi, Siti Sendari, Kotaro Hirasawa:
Evaluation on the robustness of Genetic Network Programming with reinforcement learning. SMC 2010: 1659-1664 - [c58]Lu Yu, Shingo Mabu, Jin Zhou, Shinji Eto, Kotaro Hirasawa:
Double-Deck Elevator Systems with idle cage assignment using Genetic Network Programming. SMC 2010: 1987-1994 - [c57]Huiyu Zhou, Shingo Mabu, Kaoru Shimada, Kotaro Hirasawa:
Time related association rule mining with Accuracy Validation in traffic volume prediction with large scale simulator. SMC 2010: 2249-2255 - [c56]Deng Zhang, Shingo Mabu, Kotaro Hirasawa:
Noise reduction using genetic algorithm based PCNN method. SMC 2010: 2627-2633 - [c55]Shanqing Yu, Shingo Mabu, Manoj Kanta Mainali, Kaoru Shimada, Kotaro Hirasawa:
Various temperature parameter control methods in Q value-based Dynamic Programming with Boltzmann Distribution. SMC 2010: 2677-2683 - [c54]Bing Li, Shingo Mabu, Kotaro Hirasawa:
Tile-world - A case study of Genetic Network Programming with automatic program generation. SMC 2010: 2708-2715 - [c53]Fengming Ye, Shingo Mabu, Lutao Wang, Kotaro Hirasawa:
Genetic Network Programming with new genetic operators. SMC 2010: 3346-3353
2000 – 2009
- 2009
- [j26]Shingo Mabu, Kaoru Shimada, Kotaro Hirasawa, Jinglu Hu:
Study of multi-branch structure of Universal Learning Networks. Appl. Soft Comput. 9(1): 393-403 (2009) - [j25]Weishui Wan, Shingo Mabu, Kaoru Shimada, Kotaro Hirasawa, Jinglu Hu:
Enhancing the generalization ability of neural networks through controlling the hidden layers. Appl. Soft Comput. 9(1): 404-414 (2009) - [j24]Yan Chen, Etsushi Ohkawa, Shingo Mabu, Kaoru Shimada, Kotaro Hirasawa:
A portfolio optimization model using Genetic Network Programming with control nodes. Expert Syst. Appl. 36(7): 10735-10745 (2009) - [j23]Yan Chen, Shingo Mabu, Kaoru Shimada, Kotaro Hirasawa:
A genetic network programming with learning approach for enhanced stock trading model. Expert Syst. Appl. 36(10): 12537-12546 (2009) - [j22]Fengming Ye, Lu Yu, Shingo Mabu, Kaoru Shimada, Kotaro Hirasawa:
Genetic Network Programming with Rules. J. Adv. Comput. Intell. Intell. Informatics 13(1): 16-24 (2009) - [j21]Jin Zhou, Lu Yu, Shingo Mabu, Kaoru Shimada, Kotaro Hirasawa, Sandor Markon:
A Study of Double-Deck Elevator Systems Using Genetic Network Programming with Reinforcement Learning. J. Adv. Comput. Intell. Intell. Informatics 13(1): 35-44 (2009) - [j20]Lutao Wang, Shingo Mabu, Fengming Ye, Shinji Eto, Xuefeng Fan, Kotaro Hirasawa:
Genetic Network Programming with Rule Accumulation and its Application to Tile-World Problem. J. Adv. Comput. Intell. Intell. Informatics 13(5): 551-560 (2009) - [j19]Eloy Gonzales, Karla Taboada, Shingo Mabu, Kaoru Shimada, Kotaro Hirasawa:
Combination of Two Evolutionary Methods for Mining Association Rules in Large and Dense Databases. J. Adv. Comput. Intell. Intell. Informatics 13(5): 561-572 (2009) - [j18]Yu Wang, Shingo Mabu, Shinji Eto, Kotaro Hirasawa:
Global Optimal Routing Algorithm for Traffic Systems with Multiple ODs. J. Adv. Comput. Intell. Intell. Informatics 13(6): 704-712 (2009) - [j17]Huiyu Zhou, Shingo Mabu, Wei Wei, Kaoru Shimada, Kotaro Hirasawa:
Traffic Flow Prediction with Genetic Network Programming (GNP). J. Adv. Comput. Intell. Intell. Informatics 13(6): 713-725 (2009) - [c52]Lu Yu, Shingo Mabu, Tiantian Zhang, Shinji Eto, Kotaro Hirasawa:
Multi-car elevator group supervisory control system using Genetic Network Programming. IEEE Congress on Evolutionary Computation 2009: 2188-2193 - [c51]Yan Chen, Shingo Mabu, Etsushi Ohkawa, Kotaro Hirasawa:
Constructing portfolio investment strategy based on Time Adapting Genetic Network Programming. IEEE Congress on Evolutionary Computation 2009: 2379-2386 - [c50]Karla Taboada, Shingo Mabu, Eloy Gonzales, Kaoru Shimada, Kotaro Hirasawa:
Genetic Network Programming for fuzzy association rule-based classification. IEEE Congress on Evolutionary Computation 2009: 2387-2394 - [c49]Huiyu Zhou, Shingo Mabu, Kaoru Shimada, Kotaro Hirasawa:
Generalized Time Related Sequential Association rule mining and traffic prediction. IEEE Congress on Evolutionary Computation 2009: 2654-2661 - [c48]Lutao Wang, Shingo Mabu, Fengming Ye, Kotaro Hirasawa:
Genetic Network Programming with Rule Accumulation Considering Judgment Order. IEEE Congress on Evolutionary Computation 2009: 3176-3182 - [c47]Eloy Gonzales, Shingo Mabu, Karla Taboada, Kaoru Shimada, Kotaro Hirasawa:
Mining multi-class datasets using Genetic Relation Algorithm for rule reduction. IEEE Congress on Evolutionary Computation 2009: 3249-3255 - [c46]Huiyu Zhou, Shingo Mabu, Kaoru Shimada, Kotaro Hirasawa:
Backward time related association rule mining in trafficprediction using genetic network programming withdatabase rearrangement. GECCO 2009: 1897-1898 - [c45]Guangfei Yang, Shingo Mabu, Kaoru Shimada, Yunlu Gong, Kotaro Hirasawa:
Ranking association rules for classification based on genetic network programming. GECCO 2009: 1917-1918 - [c44]Ci Chen, Shingo Mabu, Chuan Yue, Kaoru Shimada, Kotaro Hirasawa:
Network Intrusion Detection using Fuzzy Class Association Rule Mining Based on Genetic Network Programming. SMC 2009: 60-67 - [c43]Lu Yu, Shingo Mabu, Tiantian Zhang, Kotaro Hirasawa, Tsuyoshi Ueno:
A Study on Energy Consumption of Elevator Group Supervisory Control Systems using Genetic Network Programming. SMC 2009: 583-588 - [c42]Huiyu Zhou, Shingo Mabu, Kaoru Shimada, Kotaro Hirasawa:
Backward Time Related Association Rule mining with Database Rearrangement in Traffic Volume Prediction. SMC 2009: 1021-1026 - [c41]Shingo Mabu, Kotaro Hirasawa:
Evolving Plural Programs by Genetic Network Programming with Multi-Start Nodes. SMC 2009: 1382-1387 - [c40]Karla Taboada, Shingo Mabu, Eloy Gonzales, Kaoru Shimada, Kotaro Hirasawa:
Fuzzy Classification Rule Minining Based on Genetic Network Programming Algorithm. SMC 2009: 3860-3865 - [c39]Shanqing Yu, Shingo Mabu, Manoj Kanta Mainali, Shinji Eto, Kaoru Shimada, Kotaro Hirasawa:
Multi-Routes Algorithm using Temperature Control of Boltzmann Distribution in Q value-based Dynamic Programming. SMC 2009: 3889-3894 - [c38]Yan Chen, Shingo Mabu, Kotaro Hirasawa:
A Portfolio Selection Model using Genetic Relation Algorithm and Genetic Network Programming. SMC 2009: 4378-4383 - [p1]Huiyu Zhou, Kaoru Shimada, Shingo Mabu, Kotaro Hirasawa:
Sequence Pattern Mining. Foundations of Computational Intelligence (4) 2009: 23-48 - 2008
- [j16]Guangfei Yang, Kaoru Shimada, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu:
A Genetic Network Programming Based Method to Mine Generalized Association Rules with Ontology. J. Adv. Comput. Intell. Intell. Informatics 12(1): 63-76 (2008) - [j15]DongKyu Sohn, Shingo Mabu, Kaoru Shimada, Kotaro Hirasawa, Jinglu Hu:
A Global Optimization Method RasID-GA for Neural Network Training. J. Adv. Comput. Intell. Intell. Informatics 12(1): 85-93 (2008) - [j14]Yan Chen, Shingo Mabu, Kaoru Shimada, Kotaro Hirasawa:
Trading Rules on Stock Markets Using Genetic Network Programming with Sarsa Learning. J. Adv. Comput. Intell. Intell. Informatics 12(4): 383-392 (2008) - [j13]Wei Wei, Huiyu Zhou, Kaoru Shimada, Shingo Mabu, Kotaro Hirasawa:
Comparative Association Rules Mining Using Genetic Network Programming (GNP) with Attributes Accumulation Mechanism and its Application to Traffic Systems. J. Adv. Comput. Intell. Intell. Informatics 12(4): 393-403 (2008) - [j12]Huiyu Zhou, Wei Wei, Kaoru Shimada, Shingo Mabu, Kotaro Hirasawa:
Time Related Association Rules Mining with Attributes Accumulation Mechanism and its Application to Traffic Prediction. J. Adv. Comput. Intell. Intell. Informatics 12(5): 467-478 (2008) - [j11]Manoj Kanta Mainali, Kaoru Shimada, Shingo Mabu, Kotaro Hirasawa:
Optimal Route Based on Dynamic Programming for Road Networks. J. Adv. Comput. Intell. Intell. Informatics 12(6): 546-553 (2008) - [c37]Wei Wei, Huiyu Zhou, Kaoru Shimada, Shingo Mabu, Kotaro Hirasawa:
Comparative association rules mining using Genetic Network Programming(GNP) with attributes accumulation mechanism and its application to traffic systems. IEEE Congress on Evolutionary Computation 2008: 292-298 - [c36]Huiyu Zhou, Wei Wei, Kaoru Shimada, Shingo Mabu, Kotaro Hirasawa:
Time related association rules mining with attributes accumulation mechanism and its application to traffic prediction. IEEE Congress on Evolutionary Computation 2008: 305-311 - [c35]Yan Chen, Shingo Mabu, Kaoru Shimada, Kotaro Hirasawa:
Real Time Updating Genetic Network Programming for adapting to the change of stock prices. IEEE Congress on Evolutionary Computation 2008: 370-377 - [c34]Fengming Ye, Shingo Mabu, Kaoru Shimada, Kotaro Hirasawa:
Genetic Network Programming with rules. IEEE Congress on Evolutionary Computation 2008: 413-418 - [c33]Guangfei Yang, Kaoru Shimada, Shingo Mabu, Kotaro Hirasawa:
A personalized association rule ranking method based on semantic similarity and evolutionary computation. IEEE Congress on Evolutionary Computation 2008: 487-494 - [c32]Eloy Gonzales, Karla Taboada, Kaoru Shimada, Shingo Mabu, Kotaro Hirasawa:
Evaluating class association rules using Genetic Relation Programming. IEEE Congress on Evolutionary Computation 2008: 731-736 - [c31]Jin Zhou, Lu Yu, Shingo Mabu, Kaoru Shimada, Kotaro Hirasawa, Sandor Markon:
Double-deck elevator systems adaptive to traffic flows using Genetic Network Programming. IEEE Congress on Evolutionary Computation 2008: 773-778 - [c30]Karla Taboada, Eloy Gonzales, Kaoru Shimada, Shingo Mabu, Kotaro Hirasawa:
Genetic Network Programming based data mining method for extracting fuzzy association rules. IEEE Congress on Evolutionary Computation 2008: 1756-1763 - [c29]Yan Chen, Shingo Mabu, Kaoru Shimada, Kotaro Hirasawa:
Construction of portfolio optimization system using genetic network programming with control nodes. GECCO 2008: 1693-1694 - [c28]Shingo Mabu, Yan Chen, Etsushi Ohkawa, Kotaro Hirasawa:
Stock trading strategies by genetic network programming with flag nodes. GECCO 2008: 1709-1710 - [c27]Etsushi Ohkawa, Yan Chen, Shingo Mabu, Kaoru Shimada, Kotaro Hirasawa:
Varying portfolio construction of stocks using genetic network programming with control nodes. GECCO 2008: 1715-1716 - [c26]Lu Yu, Jin Zhou, Fengming Ye, Shingo Mabu, Kaoru Shimada, Kotaro Hirasawa, Sandor Markon:
Double-deck elevator system using genetic network programming with genetic operators based on pheromone information. GECCO (Companion) 2008: 2239-2244 - [c25]Lu Yu, Jin Zhou, Fengming Ye, Shingo Mabu, Kaoru Shimada, Kotaro Hirasawa:
Double-Deck Elevator System Uing Genetic Network Programming with Genetic Operators Based on Pheromone Information. HIS 2008: 84-89 - [c24]Marina G. Ogata, DongKyu Sohn, Shingo Mabu, Kaoru Shimada, Kotaro Hirasawa:
Solving Multi-Objective Optimization Problems by RasID-GA: Using an External Population in Genetic Operators. HIS 2008: 903-906 - [c23]Manoj Kanta Mainali, Kaoru Shimada, Shingo Mabu, Kotaro Hirasawa:
Optimal route of road networks by dynamic programming. IJCNN 2008: 3416-3420 - 2007
- [j10]Kotaro Hirasawa, Shingo Mabu, Shinji Eto, Jinglu Hu:
An approximate stability analysis of nonlinear systems described by Universal Learning Networks. Appl. Soft Comput. 7(3): 642-651 (2007) - [j9]Shingo Mabu, Kotaro Hirasawa, Jinglu Hu:
A Graph-Based Evolutionary Algorithm: Genetic Network Programming (GNP) and Its Extension Using Reinforcement Learning. Evol. Comput. 15(3): 369-398 (2007) - [j8]Hiroyuki Hatakeyama, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu:
Genetic Network Programming with Actor-Critic. J. Adv. Comput. Intell. Intell. Informatics 11(1): 79-86 (2007) - [j7]Karla Taboada, Eloy Gonzales, Kaoru Shimada, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu:
Adaptation and Self-Adaptation Mechanisms in Genetic Network Programming for Mining Association Rules. J. Adv. Comput. Intell. Intell. Informatics 11(3): 343-353 (2007) - [j6]DongKyu Sohn, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu:
Optimization Method RasID-GA for Numerical Constrained Optimization Problems. J. Adv. Comput. Intell. Intell. Informatics 11(5): 469-477 (2007) - [j5]Lu Yu, Jin Zhou, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu, Sandor Markon:
Double-Deck Elevator Group Supervisory Control System Using Genetic Network Programming with Ant Colony Optimization with Evaporation. J. Adv. Comput. Intell. Intell. Informatics 11(9): 1149-1158 (2007) - [c22]Yan Chen, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu:
Genetic network programming with sarsa learning and its application to creating stock trading rules. IEEE Congress on Evolutionary Computation 2007: 220-227 - [c21]Shingo Mabu, Yan Chen, Kotaro Hirasawa, Jinglu Hu:
Stock trading rules using genetic network programming with actor-critic. IEEE Congress on Evolutionary Computation 2007: 508-515 - [c20]Guangfei Yang, Kaoru Shimada, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu:
Mining equalized association rules from multi concept layers of ontology using Genetic Network Programming. IEEE Congress on Evolutionary Computation 2007: 705-712 - [c19]Lu Yu, Jin Zhou, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu, Sandor Markon:
Double-deck Elevator Group Supervisory Control System using Genetic Network Programming with Ant Colony Optimization. IEEE Congress on Evolutionary Computation 2007: 1015-1022 - [c18]Shinji Eto, Shingo Mabu, Kotaro Hirasawa, Takayuki Huruzuki:
Genetic Network Programming with control nodes. IEEE Congress on Evolutionary Computation 2007: 1023-1028 - [c17]Karla Taboada, Eloy Gonzales, Kaoru Shimada, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu:
Mining association rules from databases with continuous attributes using genetic network programming. IEEE Congress on Evolutionary Computation 2007: 1311-1317 - [c16]Jin Zhou, Lu Yu, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu, Sandor Markon:
Double-deck elevator systems using Genetic Network Programming with reinforcement learning. IEEE Congress on Evolutionary Computation 2007: 2025-2031 - [c15]DongKyu Sohn, Shingo Mabu, Kaoru Shimada, Kotaro Hirasawa, Jinglu Hu:
Training of Multi-Branch Neural Networks using RasID-GA. IEEE Congress on Evolutionary Computation 2007: 2064-2070 - [c14]Eloy Gonzales, Karla Taboada, Kaoru Shimada, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu:
Class association rule mining for large and dense databases with parallel processing of genetic network programming. IEEE Congress on Evolutionary Computation 2007: 4615-4622 - [c13]Lu Yu, Jin Zhou, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu, Sandor Markon:
Effects of passenger's arrival distribution to double-deck elevator group supervisory control systems using genetic network programming. GECCO 2007: 1476-1483 - [c12]Yan Chen, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu:
Trading rules on stock markets using genetic network programming with sarsa learning. GECCO 2007: 1503 - [c11]Eloy Gonzales, Kaoru Shimada, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu:
Genetic network programming with parallel processing for association rule mining in large and dense databases. GECCO 2007: 1512 - [c10]Karla Taboada, Kaoru Shimada, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu:
Association rule mining for continuous attributes using genetic network programming. GECCO 2007: 1758 - [c9]Shingo Mabu, Yan Chen, Kotaro Hirasawa, Jinglu Hu:
Genetic network programming with actor-critic and its application to stock trading model. GECCO 2007: 2263 - 2006
- [j4]Shinji Eto, Hiroyuki Hatakeyama, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu:
Realizing Functional Localization Using Genetic Network Programming with Importance Index. J. Adv. Comput. Intell. Intell. Informatics 10(4): 555-566 (2006) - [j3]DongKyu Sohn, Hiroyuki Hatakeyama, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu:
Adaptive Random Search with Intensification and Diversification Combined with Genetic Algorithm. J. Adv. Comput. Intell. Intell. Informatics 10(6): 921-930 (2006) - [j2]Kotaro Hirasawa, Shingo Mabu, Jinglu Hu:
Propagation and control of stochastic signals through universal learning networks. Neural Networks 19(4): 487-499 (2006) - [c8]Shingo Mabu, Hiroyuki Hatakeyama, Kotaro Hirasawa, Jinglu Hu:
Genetic Network Programming with Reinforcement Learning Using Sarsa Algorithm. IEEE Congress on Evolutionary Computation 2006: 463-469 - [c7]Hiroyuki Hatakeyama, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu:
An Extension of Genetic Network Programming with Reinforcement Learning Using Actor-Critic. IEEE Congress on Evolutionary Computation 2006: 1537-1543 - [c6]Yoshihiro Izumi, Tokiyo Yamaguchi, Shingo Mabu, Kotaro Hirasawa, Jingle Hu:
Trading Rules on the Stock Markets using Genetic Network Programming with Candlestick Chart. IEEE Congress on Evolutionary Computation 2006: 2362-2367 - [c5]DongKyu Sohn, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu:
RasID-GA with Simplex Crossover(SPX) for Optimization problems. IEEE Congress on Evolutionary Computation 2006: 3021-3028 - [c4]Jin Zhou, Toru Eguchi, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu, Sandor Markon:
A study of applying Genetic Network Programming with Reinforcement Learning to Elevator Group Supervisory Control System. IEEE Congress on Evolutionary Computation 2006: 3035-3041 - 2005
- [j1]Shingo Mabu, Kotaro Hirasawa, Yuko Matsuya, Jinglu Hu:
Genetic Network Programming for Automatic Program Generation. J. Adv. Comput. Intell. Intell. Informatics 9(4): 430-436 (2005) - 2004
- [c3]Shingo Mabu, Kotaro Hirasawa, Jinglu Hu:
Genetic Network Programming with Reinforcement Learning and Its Performance Evaluation. GECCO (2) 2004: 710-711 - 2003
- [c2]Shingo Mabu, Kotaro Hirasawa, Jinglu Hu:
Genetic network programming with learning and evolution for adapting to dynamical environments. IEEE Congress on Evolutionary Computation 2003: 69-76 - 2002
- [c1]Shingo Mabu, Kotaro Hirasawa, Jinglu Hu, Junichi Murata:
Online learning of genetic network programming (GNP). IEEE Congress on Evolutionary Computation 2002: 321-326
Coauthor Index
[j66] [j57] [j54] [j50] [j49] [c101] [j47] [j46] [j45] [j44] [c98] [c97] [c96] [c95] [c94] [c93] [c92] [j43] [j42] [j41] [j40] [j39] [j38] [j37] [j36] [j35] [j34] [j33] [c91] [c90] [c89] [c88] [c87] [c86] [c85] [c84] [c83] [c82] [c81] [c80] [c79] [c78] [c77] [j32] [j31] [j30] [j29] [j28] [j27] [c76] [c75] [c74] [c73] [c72] [c71] [c70] [c69] [c68] [c67] [c66] [c65] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [j26] [j25] [j24] [j23] [j22] [j21] [j20] [j19] [j18] [j17] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [p1] [j16] [j15] [j14] [j13] [j12] [j11] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [j10] [j9] [j8] [j7] [j6] [j5] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [j4] [j3] [j2] [c8] [c7] [c6] [c5] [c4] [j1] [c3] [c2] [c1]
[j41] [j40] [j33] [c82] [c79] [c78] [j27] [c75] [c69] [c68] [c66] [c57] [c55] [j26] [j25] [j24] [j23] [j22] [j21] [j19] [j17] [c50] [c49] [c47] [c46] [c45] [c44] [c42] [c40] [c39] [p1] [j16] [j15] [j14] [j13] [j12] [j11] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c27] [c26] [c25] [c24] [c23] [j7] [c20] [c17] [c15] [c14] [c11] [c10]
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