Shingo Mabu

ORCID

Publication Activity (10 Years)

Years Active: 2002-2023
Publications (10 Years): 30

Top Venues

J. Robotics Netw. Artif. Life

Comput. Electr. Eng.

Appl. Soft Comput.

Int. J. Comput. Assist. Radiol. Surg.

Publications

Ryosuke Wakamoto, Shingo Mabu
Interpretable Anomaly Detection for Lung Sounds Using Topology. ICAIIC (2023)
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) (2023)
Thanawit Gerdprasert, Shingo Mabu
Pseudo-Labeling With Contrastive Perturbation Using CNN & ViT for Chest X-ray Classification. IWCIA (2023)
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 (2022)
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 (2022)
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) (2021)
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) (2021)
Naoki Asatani, Tohru Kamiya, Shingo Mabu, Shoji Kido
Classification of respiratory sounds using improved convolutional recurrent neural network. Comput. Electr. Eng. 94 (2021)
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)
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) (2020)
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) (2019)
Takashi Kuremoto, Hiroki Matsusaka, Masanao Obayashi, Shingo Mabu, Kunikazu Kobayashi
An Improved Fuzzy Neural Network for Reinforcement Learning. ICBDR (2019)
Takashi Kuremoto, Takuji Tsuruda, Shingo Mabu
Summarizing Articles into Sentences by Hierarchical Attention Model and RNN Language Model. CISP-BMEI (2019)
Shingo Mabu, Kyoichiro Kobayashi, Masanao Obayashi, Takashi Kuremoto
Unsupervised Image Classification Using Multi-Autoencoder and K-means++. J. Robotics Netw. Artif. Life 5 (1) (2018)
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. Medical Imaging: Computer-Aided Diagnosis (2018)
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) (2018)
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)
Takashi Kuremoto, Yuki Baba, Masanao Obayashi, Shingo Mabu, Kunikazu Kobayashi
Enhancing EEG Signals Recognition Using ROC Curve. J. Robotics Netw. Artif. Life 4 (4) (2018)
Shanqing Yu, Deng Zhang, Shingo Mabu, Jinyin Chen, Kotaro Hirasawa
Improving the robustness of GNP-PCA using the multiagent system. Appl. Soft Comput. 61 (2017)
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) (2017)
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)
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) (2017)
Shingo Mabu, Masanao Obayashi, Takashi Kuremoto
An Evolutionary Algorithm for Making Decision Graphs for Classification Problems. J. Robotics Netw. Artif. Life 3 (1) (2016)
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)
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) (2016)
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 (2016)
Masanao Obayashi, Takeshi Aridome, Takashi Kuremoto, Shingo Mabu
Leader-Follower Formation Control Using Cerebellar Perceptron Improved Model with Auto-structuring. CSE/EUC/DCABES (2016)
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 (2016)
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) (2016)
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)
Wirarama Wedashwara, Shingo Mabu, Masanao Obayashi, Takashi Kuremoto
Evolutionary Rule Based Clustering for Making Fuzzy Object Oriented Database Models. IIAI-AAI (2015)
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) (2015)
Masanao Obayashi, Shunsuke Uto, Takashi Kuremoto, Shingo Mabu, Kunikazu Kobayashi
An Emotional Robot. IJCCI (Selected Papers) (2015)
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 (2015)
Shingo Mabu, Masanao Obayashi, Takashi Kuremoto
Reinforcement Learning with Symbiotic Relationships for Multiagent Environments. J. Robotics Netw. Artif. Life 2 (1) (2015)
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)
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) (2015)
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)
Shingo Mabu, Masanao Obayashi, Takashi Kuremoto
Ensemble learning of rule-based evolutionary algorithm using multi layer perceptron for stock trading models. SCIS&ISIS (2014)
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)
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) (2014)
Takashi Kuremoto, Masanao Obayashi, Kunikazu Kobayashi, Shingo Mabu
How an Adaptive Learning Rate Benefits Neuro-Fuzzy Reinforcement Learning Systems. ICSI (1) (2014)
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) (2014)
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) (2014)
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) (2014)
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) (2014)
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)
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) (2013)
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)
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)
Takashi Kuremoto, Tetsuya Tsurusaki, Kunikazu Kobayashi, Shingo Mabu, Masanao Obayashi
A Model of Emotional Intelligent Agent for Cooperative Goal Exploration. ICIC (1) (2013)
Takashi Kuremoto, Tetsuya Tsurusaki, Kunikazu Kobayashi, Shingo Mabu, Masanao Obayashi
An Improved Reinforcement Learning System Using Affective Factors. Robotics 2 (3) (2013)
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)
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) (2012)
Thanawit Gerdprasert, Shingo Mabu
Object Detection for Chest X-ray Image Diagnosis Using Deep Learning with Pseudo Labeling. IWCIA (2012)
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)
Chuan Yue, Shingo Mabu, Kotaro Hirasawa
A bidding strategy using genetic network programming with adjusting parameters for large-scale continuous double auction. SMC (2012)
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) (2012)
Shingo Mabu, Fengming Ye, Kotaro Hirasawa
An Explicit Memory Scheme of Genetic Network Programming. J. Adv. Comput. Intell. Intell. Informatics 16 (7) (2012)
Shingo Mabu, Andre Tjahjadi, Kotaro Hirasawa
Adaptability analysis of genetic network programming with reinforcement learning in dynamically changing environments. Expert Syst. Appl. 39 (16) (2012)
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)
Yang Yang, Shingo Mabu, Kotaro Hirasawa
A multitasks learning approach to autonomous agent based on Genetic Network Programming. IEEE Congress on Evolutionary Computation (2012)
Lutao Wang, Wei Xu, Shingo Mabu, Kotaro Hirasawa
Rule accumulation method based on Credit Genetic Network Programming. IEEE Congress on Evolutionary Computation (2012)
Nannan Lu, Shingo Mabu, Tuo Wang, Kotaro Hirasawa
Integrated fuzzy GNP rule mining with distance-based classification for intrusion detection system. SMC (2012)
Lutao Wang, Shingo Mabu, Kotaro Hirasawa
Genetic Network Programming with updating rule accumulation. IEEE Congress on Evolutionary Computation (2011)
Guangfei Yang, Shingo Mabu, Kaoru Shimada, Kotaro Hirasawa
An evolutionary approach to rank class association rules with feedback mechanism. Expert Syst. Appl. 38 (12) (2011)
Shingo Mabu, Kotaro Hirasawa
Efficient program generation by evolving graph structures with multi-start nodes. Appl. Soft Comput. 11 (4) (2011)
Chuan Yue, Shingo Mabu, Kotaro Hirasawa
A bidding strategy for Continuous Double Auctions based on Genetic Network Programming with generalized judgments. SMC (2011)
Deng Zhang, Shingo Mabu, Feng Wen, Kotaro Hirasawa
A supervised learning framework for PCA-based face recognition using GNP fuzzy data mining. SMC (2011)
Shanqing Yu, Shingo Mabu, Manoj Kanta Mainali, Kaoru Shimada, Kotaro Hirasawa
Dynamic traffic management model for real world road networks. SMC (2011)
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) (2011)
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) (2011)
Shingo Mabu, Kotaro Hirasawa
Enhanced rule extraction and classification mechanism of genetic network programming for stock trading signal generation. GECCO (2011)
Bing Li, Xianneng Li, Shingo Mabu, Kotaro Hirasawa
Variable Size Genetic Network Programming with Binomial Distribution. IEEE Congress on Evolutionary Computation (2011)
Yan Chen, Shingo Mabu, Kotaro Hirasawa
Genetic relation algorithm with guided mutation for the large-scale portfolio optimization. Expert Syst. Appl. 38 (4) (2011)
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) (2011)
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) (2011)
Huiyu Zhou, Shingo Mabu, Kaoru Shimada, Kotaro Hirasawa
Traffic prediction using time related association rules and vehicle routing. SMC (2011)
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)
Deng Zhang, Shingo Mabu, Feng Wen, Kotaro Hirasawa
A sequential subspace face recognition framework using genetic-based clustering. IEEE Congress on Evolutionary Computation (2011)
Fengming Ye, Shingo Mabu, Kotaro Hirasawa
A memory scheme for genetic network programming with adaptive mutation. GECCO (Companion) (2011)
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) (2011)
Xianneng Li, Shingo Mabu, Kotaro Hirasawa
Use of infeasible individuals in probabilistic model building genetic network programming. GECCO (2011)
Siti Sendari, Shingo Mabu, Kotaro Hirasawa
Fuzzy genetic Network Programming with Reinforcement Learning for mobile robot navigation. SMC (2011)
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) (2011)
Guangfei Yang, Shingo Mabu, Kaoru Shimada, Kotaro Hirasawa
A novel evolutionary method to search interesting association rules by keywords. Expert Syst. Appl. 38 (10) (2011)
Guangfei Yang, Yanzhong Dang, Shingo Mabu, Kaoru Shimada, Kotaro Hirasawa
Searching Interesting Association Rules Based on Evolutionary Computation. PAKDD Workshops (2011)
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)
Victor Parque, Shingo Mabu, Kotaro Hirasawa
Genetic network programming with changing structures for a novel stock selection model. GECCO (Companion) (2011)
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) (2011)
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)
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)
Qingbiao Meng, Shingo Mabu, Kotaro Hirasawa
Genetic Network Programming with Sarsa Learning Based Nonuniform Mutation. SMC (2010)
Md. Tofazzal Hossain, Shingo Mabu, Kotaro Hirasawa
An Evolutionary Negotiation Model Using Genetic Network Programming. J. Adv. Comput. Intell. Intell. Informatics 14 (2) (2010)
Bing Li, Shingo Mabu, Kotaro Hirasawa
Tile-world - A case study of Genetic Network Programming with automatic program generation. SMC (2010)
Yan Chen, Shingo Mabu, Kotaro Hirasawa
A model of portfolio optimization using time adapting genetic network programming. Comput. Oper. Res. 37 (10) (2010)
Lu Yu, Shingo Mabu, Kotaro Hirasawa
Multi-car elevator system using Genetic Network Programming for high-rise building. SMC (2010)
Victor Parque, Shingo Mabu, Kotaro Hirasawa
Asset selection in global financial markets using Genetic Network Programming. SMC (2010)
Lu Yu, Shingo Mabu, Jin Zhou, Shinji Eto, Kotaro Hirasawa
Double-Deck Elevator Systems with idle cage assignment using Genetic Network Programming. SMC (2010)
Eloy Gonzales, Shingo Mabu, Karla Taboada, Kotaro Hirasawa, Kaoru Shimada
Pruning association rules using statistics and genetic relation algoritm. GECCO (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Shingo Mabu