Shin Ando

Publication Activity (10 Years)

Years Active: 2000-2022
Publications (10 Years): 9

Top Topics

Discriminative Learning

Information Bottleneck

Nearest Neighbor Classification

Top Venues

Knowl. Inf. Syst.

Publications

Shin Ando, Ayaka Yamamoto
Anomaly Detection via Few-Shot Learning on Normality. ECML/PKDD (1) (2022)
Shin Ando
Few-shot Deep Representation Learning based on Information Bottleneck Principle. CoRR (2021)
Shin Ando
Weak-supervision for Deep Representation Learning under Class Imbalance. CoRR (2018)
Shin Ando
Discriminative Prototype Set Learning for Nearest Neighbor Classification. SDM (2018)
Shin Ando, Chun-Yuan Huang
Deep Over-sampling Framework for Classifying Imbalanced Data. ECML/PKDD (1) (2017)
Tomoaki Kashiwao, Koichi Nakayama, Shin Ando, Kenji Ikeda, Moonyong Lee, Alireza Bahadori
A neural network-based local rainfall prediction system using meteorological data on the Internet: A case study using data from the Japan Meteorological Agency. Appl. Soft Comput. 56 (2017)
Shin Ando, Chun-Yuan Huang
Deep Over-sampling Framework for Classifying Imbalanced Data. CoRR (2017)
Shin Ando
Classifying imbalanced data in distance-based feature space. Knowl. Inf. Syst. 46 (3) (2016)
Shin Ando, Einoshin Suzuki
Minimizing response time in time series classification. Knowl. Inf. Syst. 46 (2) (2016)
Shin Ando, Yutaro Suka
Classification of Temporal and Sequential Data Using Bag-of-Subsequences Features. ICDM Workshops (2015)
Shin Ando
Discriminative Learning of the Prototype Set for Nearest Neighbor Classification. CoRR (2015)
Einoshin Suzuki, Yutaka Deguchi, Tetsu Matsukawa, Shin Ando, Hiroaki Ogata, Masanori Sugimoto
Toward a platform for collecting, mining, and utilizing behavior data for detecting students with depression risks. PETRA (2015)
Shin Ando, Theerasak Thanomphongphan, Yoichi Seki, Einoshin Suzuki
Ensemble anomaly detection from multi-resolution trajectory features. Data Min. Knowl. Discov. 29 (1) (2015)
Shin Ando, Einoshin Suzuki
Discriminative Learning on Exemplary Patterns of Sequential Numerical Data. ICDM (2014)
Shin Ando, Einoshin Suzuki
Time-sensitive Classification of Behavioral Data. SDM (2013)
Shin Ando
Performance-Optimizing Classification of Time-Series Based on Nearest Neighbor Density Approximation. ICDM Workshops (2012)
Shin Ando, Einoshin Suzuki, Yoichi Seki, Theerasak Thanongphongphan, Daisuke Hoshino
ACE: Anomaly Clustering Ensemble for Multi-perspective Anomaly Detection in Robot Behaviors. SDM (2011)
Shin Ando, Einoshin Suzuki
Role-Behavior Analysis from Trajectory Data by Cross-Domain Learning. ICDM (2011)
David Meunier, Michèle Sebag, Shin Ando
Characterizing Anomalous Behaviors and Revising Robotic Controllers. ICDM Workshops (2011)
Shin Ando
Latent feature encoding using dyadic and relational data. CIKM (2011)
Shin Ando, Einoshin Suzuki
Detection of unique temporal segments by information theoretic meta-clustering. KDD (2009)
Shin Ando, Einoshin Suzuki
Unsupervised Cross-Domain Learning by Interaction Information Co-clustering. ICDM (2008)
Shin Ando
Clustering Needles in a Haystack: An Information Theoretic Analysis of Minority and Outlier Detection. ICDM (2007)
Shin Ando
Heuristic speciation for evolving neural network ensemble. GECCO (2007)
Shin Ando, Einoshin Suzuki
Distributed Multi-objective GA for Generating Comprehensive Pareto Front in Deceptive Optimization Problems. IEEE Congress on Evolutionary Computation (2006)
Jérôme Maloberti, Shin Ando, Einoshin Suzuki
Classification non-supervisée de données relationnelles. EGC (2006)
Shin Ando, Einoshin Suzuki
An Information Theoretic Approach to Detection of Minority Subsets in Database. ICDM (2006)
Yukihiro Nakamura, Shin Ando, Kenji Aoki, Hiroyuki Mano, Einoshin Suzuki
Strategy Diagram for Identifying Play Strategies in Multi-view Soccer Video Data. Discovery Science (2006)
Einoshin Suzuki, Shin Ando, Masayuki Hirose, Masatoshi Jumi
Intuitive Display for Search Engines Toward Fast Detection of Peculiar WWW Pages. WImBI (2006)
Shin Ando, Einoshin Suzuki, Shigenobu Kobayashi
Sample based crowding method for multimodal optimization in continuous domain. Congress on Evolutionary Computation (2005)
Shin Ando, Shigenobu Kobayashi
Fitness-based neighbor selection for multimodal function optimization. GECCO (2005)
Shin Ando, Jun Sakuma, Shigenobu Kobayashi
Adaptive isolation model using data clustering for multimodal function optimization. GECCO (2005)
Shin Ando, Hitoshi Iba
Classification of Gene Expression Profile Using Combinatory Method of Evolutionary Computation and Machine Learning. Genet. Program. Evolvable Mach. 5 (2) (2004)
Shin Ando, Hitoshi Iba
Real-coded GA with multimodal uniform distribution. IEEE Congress on Evolutionary Computation (2004)
Shin Ando, Hitoshi Iba
Estimation of gene regulatory network by genetic algorithm and pairwise correlation analysis. IEEE Congress on Evolutionary Computation (2003)
Shin Ando, Hitoshi Iba
Artificial Immune System for Classification of Gene Expression Data. GECCO (2003)
Shin Ando, Hitoshi Iba
Artificial Immune System for Classification of Cancer. EvoWorkshops (2003)
Shin Ando, Erina Sakamoto, Hitoshi Iba
Modeling genetic network by hybrid GP. IEEE Congress on Evolutionary Computation (2002)
Shin Ando, Erina Sakamoto, Hitoshi Iba
Evolutionary Modeling and Inference by Genetic Network. JCIS (2002)
Shin Ando, Hitsohi Iba
Ant algorithm for construction of evolutionary tree. IEEE Congress on Evolutionary Computation (2002)
Shin Ando, Hitoshi Iba
Ant Algorithm For Construction Of Evolutionary Tree. GECCO (2002)
Shin Ando, Erina Sakamoto, Hitoshi Iba
Evolutionary modeling and inference of gene network. Inf. Sci. 145 (3-4) (2002)
Shin Ando, Hitoshi Iba
Inference of gene regulatory model by genetic algorithms. CEC (2001)
Shin Ando, Hitoshi Iba
Analog circuit design with a variable length chromosome. CEC (2000)