Analog circuit design with a variable length chromosome. - Shin Ando; Hitoshi Iba (CEC, 2000)

Inference of gene regulatory model by genetic algorithms. - Shin Ando; Hitoshi Iba (CEC, 2001)

Ant algorithm for construction of evolutionary tree. - Shin Ando; Hitsohi Iba (IEEE Congress on Evolutionary Computation, 2002)

Modeling genetic network by hybrid GP. - Shin Ando; Erina Sakamoto; Hitoshi Iba (IEEE Congress on Evolutionary Computation, 2002)

Ant Algorithm For Construction Of Evolutionary Tree. - Shin Ando; Hitoshi Iba (GECCO, 2002)

Evolutionary Modeling and Inference by Genetic Network. - Shin Ando; Erina Sakamoto; Hitoshi Iba (JCIS, 2002)

Evolutionary modeling and inference of gene network. - Shin Ando; Erina Sakamoto; Hitoshi Iba (Inf. Sci., 2002)

Estimation of gene regulatory network by genetic algorithm and pairwise correlation analysis. - Shin Ando; Hitoshi Iba (IEEE Congress on Evolutionary Computation, 2003)

Artificial Immune System for Classification of Cancer. - Shin Ando; Hitoshi Iba (EvoWorkshops, 2003)

Artificial Immune System for Classification of Gene Expression Data. - Shin Ando; Hitoshi Iba (GECCO, 2003)

Real-coded GA with multimodal uniform distribution. - Shin Ando; Hitoshi Iba (IEEE Congress on Evolutionary Computation, 2004)

Classification of Gene Expression Profile Using Combinatory Method of Evolutionary Computation and Machine Learning. - Shin Ando; Hitoshi Iba (Genet. Program. Evolvable Mach., 2004)

Sample based crowding method for multimodal optimization in continuous domain. - Shin Ando; Einoshin Suzuki; Shigenobu Kobayashi (Congress on Evolutionary Computation, 2005)

Fitness-based neighbor selection for multimodal function optimization. - Shin Ando; Shigenobu Kobayashi (GECCO, 2005)

Adaptive isolation model using data clustering for multimodal function optimization. - Shin Ando; Jun Sakuma; Shigenobu Kobayashi (GECCO, 2005)

Distributed Multi-objective GA for Generating Comprehensive Pareto Front in Deceptive Optimization Problems. - Shin Ando; Einoshin Suzuki (IEEE Congress on Evolutionary Computation, 2006)

Strategy Diagram for Identifying Play Strategies in Multi-view Soccer Video Data. - Yukihiro Nakamura; Shin Ando; Kenji Aoki 002; Hiroyuki Mano; Einoshin Suzuki (Discovery Science, 2006)

Classification non-supervisée de données relationnelles. - Jérôme Maloberti; Shin Ando; Einoshin Suzuki (EGC, 2006)

An Information Theoretic Approach to Detection of Minority Subsets in Database. - Shin Ando; Einoshin Suzuki (ICDM, 2006)

Intuitive Display for Search Engines Toward Fast Detection of Peculiar WWW Pages. - Einoshin Suzuki; Shin Ando; Masayuki Hirose; Masatoshi Jumi (WImBI, 2006)

Heuristic speciation for evolving neural network ensemble. - Shin Ando (GECCO, 2007)

Clustering Needles in a Haystack: An Information Theoretic Analysis of Minority and Outlier Detection. - Shin Ando (ICDM, 2007)

Unsupervised Cross-Domain Learning by Interaction Information Co-clustering. - Shin Ando; Einoshin Suzuki (ICDM, 2008)

Detection of unique temporal segments by information theoretic meta-clustering. - Shin Ando; Einoshin Suzuki (KDD, 2009)

Latent feature encoding using dyadic and relational data. - Shin Ando (CIKM, 2011)

Role-Behavior Analysis from Trajectory Data by Cross-Domain Learning. - Shin Ando; Einoshin Suzuki (ICDM, 2011)

Characterizing Anomalous Behaviors and Revising Robotic Controllers. - David Meunier; Michèle Sebag; Shin Ando (ICDM Workshops, 2011)

ACE: Anomaly Clustering Ensemble for Multi-perspective Anomaly Detection in Robot Behaviors. - Shin Ando; Einoshin Suzuki; Yoichi Seki; Theerasak Thanongphongphan; Daisuke Hoshino (SDM, 2011)

Performance-Optimizing Classification of Time-Series Based on Nearest Neighbor Density Approximation. - Shin Ando (ICDM Workshops, 2012)

Time-sensitive Classification of Behavioral Data. - Shin Ando; Einoshin Suzuki (SDM, 2013)

Discriminative Learning on Exemplary Patterns of Sequential Numerical Data. - Shin Ando; Einoshin Suzuki (ICDM, 2014)

Classification of Temporal and Sequential Data Using Bag-of-Subsequences Features. - Shin Ando; Yutaro Suka (ICDM Workshops, 2015)

Toward a platform for collecting, mining, and utilizing behavior data for detecting students with depression risks. - Einoshin Suzuki; Yutaka Deguchi; Tetsu Matsukawa; Shin Ando; Hiroaki Ogata; Masanori Sugimoto (PETRA, 2015)

Discriminative Learning of the Prototype Set for Nearest Neighbor Classification. - Shin Ando (CoRR, 2015)

Ensemble anomaly detection from multi-resolution trajectory features. - Shin Ando; Theerasak Thanomphongphan; Yoichi Seki; Einoshin Suzuki (Data Min. Knowl. Discov., 2015)

Classifying imbalanced data in distance-based feature space. - Shin Ando (Knowl. Inf. Syst., 2016)

Minimizing response time in time series classification. - Shin Ando; Einoshin Suzuki (Knowl. Inf. Syst., 2016)

Deep Over-sampling Framework for Classifying Imbalanced Data. - Shin Ando; Chun-Yuan Huang (ECML/PKDD (1), 2017)

A neural network-based local rainfall prediction system using meteorological data on the Internet: A case study using data from the Japan Meteorological Agency. - Tomoaki Kashiwao; Koichi Nakayama; Shin Ando; Kenji Ikeda; Moonyong Lee; Alireza Bahadori (Appl. Soft Comput., 2017)

Discriminative Prototype Set Learning for Nearest Neighbor Classification. - Shin Ando (SDM, 2018)

Weak-supervision for Deep Representation Learning under Class Imbalance. - Shin Ando (CoRR, 2018)

Few-shot Deep Representation Learning based on Information Bottleneck Principle. - Shin Ando (CoRR, 2021)

Anomaly Detection via Few-Shot Learning on Normality. - Shin Ando; Ayaka Yamamoto (ECML/PKDD (1), 2022)

GTFormer: A Geospatial Temporal Transformer for Crowd Flow Prediction. - Sohei Kodama; Shin Ando (ICKG, 2024)

Neighborhood Spatio-temporal Self-Attention for Crowd Flow Prediction. - Sohei Kodama; Shin Ando (ICDM (Workshops), 2024)

An Ensemble OOD Detection with Norm-enhancing Representation Learning. - Shin Ando; Takeshi Kounoike (ICISDM, 2024)