Einoshin Suzuki

164 papers A* 15A 6B 33C 13Misc 3Journal 35Unranked 56

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Compact Goal Representation Learning via Information Bottleneck in Goal-Conditioned Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. Qiming Zou, Einoshin Suzuki
2025	J	`jnl`	Detecting anomalies in human monitoring based on multimodal multiview self-supervised learning. Mach. Vis. Appl. Jose Alejandro Avellaneda Gonzalez, Tetsu Matsukawa, Einoshin Suzuki
2025	—	`conf`	Leveraging Vision Language Models for Understanding and Detecting Violence in Videos. VISIGRAPP (2): VISAPP Jose Alejandro Avellaneda Gonzalez, Tetsu Matsukawa, Einoshin Suzuki
2024	—	`conf`	A Robust Person Shape Representation via Grassmann Channel Pooling. ICPR (8) Tetsu Matsukawa, Einoshin Suzuki
2024	J	`jnl`	Image Generation from Hyper Scene Graph with Multiple Types of Trinomial Hyperedges. SN Comput. Sci. Ryosuke Miyake, Tetsu Matsukawa, Einoshin Suzuki
2024	—	`conf`	Image Generation from Hyper Scene Graphs with Trinomial Hyperedges Using Object Attention. VISIGRAPP (2): VISAPP Ryosuke Miyake, Tetsu Matsukawa, Einoshin Suzuki
2024	—	`conf`	SATJiP: Spatial and Augmented Temporal Jigsaw Puzzles for Video Anomaly Detection. PAKDD (1) Liheng Shen, Tetsu Matsukawa, Einoshin Suzuki
2023	A	`conf`	Class-Specific Word Sense Aware Topic Modeling via Soft Orthogonalized Topics. CIKM Wenbo Li, Yao Yang, Einoshin Suzuki
2023	—	`conf`	Cross-Modal Self-Supervised Feature Extraction for Anomaly Detection in Human Monitoring. CASE Jose Alejandro Avellaneda Gonzalez, Tetsu Matsukawa, Einoshin Suzuki
2023	—	`conf`	Image Generation from a Hyper Scene Graph with Trinomial Hyperedges. VISIGRAPP (5: VISAPP) Ryosuke Miyake, Tetsu Matsukawa, Einoshin Suzuki
2023	—	`conf`	Judging Credible and Unethical Statistical Data Explanations via Phrase Similarity Graph. PACIS Kang Zhang, Einoshin Suzuki
2023	J	`jnl`	Region Anomaly Detection via Spatial and Semantic Attributed Graph in Human Monitoring. Sensors Kang Zhang, Muhammad Fikko Fadjrimiratno, Einoshin Suzuki
2023	A*	`conf`	Sample-Efficient Goal-Conditioned Reinforcement Learning via Predictive Information Bottleneck for Goal Representation Learning. ICRA Qiming Zou, Einoshin Suzuki
2022	—	`conf`	Detecting Video Anomalous Events with an Enhanced Abnormality Score. PRICAI (1) Liheng Shen, Tetsu Matsukawa, Einoshin Suzuki
2022	J	`jnl`	GIAD-ST: Detecting anomalies in human monitoring based on generative inpainting via self-supervised multi-task learning. J. Intell. Inf. Syst. Ning Dong, Einoshin Suzuki
2022	C	`conf`	Judging Instinct Exploitation in Statistical Data Explanations Based on Word Embedding. AIES Kang Zhang, Hiroaki Shinden, Tatsuki Mutsuro, Einoshin Suzuki
2021	J	`jnl`	Adaptive and hybrid context-aware fine-grained word sense disambiguation in topic modeling based document representation. Inf. Process. Manag. Wenbo Li, Einoshin Suzuki
2021	—	`conf`	Context-Based Anomaly Detection via Spatial Attributed Graphs in Human Monitoring. ICONIP (1) Kang Zhang, Muhammad Fikko Fadjrimiratno, Einoshin Suzuki
2021	—	`conf`	Contrastive Goal Grouping for Policy Generalization in Goal-Conditioned Reinforcement Learning. ICONIP (1) Qiming Zou, Einoshin Suzuki
2021	—	`conf`	Detecting Anomalies from Human Activities by an Autonomous Mobile Robot based on "Fast and Slow" Thinking. VISIGRAPP (5: VISAPP) Muhammad Fikko Fadjrimiratno, Yusuke Hatae, Tetsu Matsukawa, Einoshin Suzuki
2021	—	`conf`	GIAD: Generative Inpainting-Based Anomaly Detection via Self-Supervised Learning for Human Monitoring. PRICAI (2) Ning Dong, Einoshin Suzuki
2021	J	`jnl`	Semi-Supervised Few-Shot Classification with Deep Invertible Hybrid Models. CoRR Yusuke Ohtsubo, Tetsu Matsukawa, Einoshin Suzuki
2021	J	`jnl`	Sparse Nonnegative Interaction Models. IEEE Access Mirai Takayanagi, Yasuo Tabei, Einoshin Suzuki, Hiroto Saigo
2021	J	`jnl`	Topic modeling for sequential documents based on hybrid inter-document topic dependency. J. Intell. Inf. Syst. Wenbo Li, Hiroto Saigo, Bin Tong, Einoshin Suzuki
2020	—	`conf`	Context-Aware Latent Dirichlet Allocation for Topic Segmentation. PAKDD (1) Wenbo Li, Tetsu Matsukawa, Hiroto Saigo, Einoshin Suzuki
2020	B	`conf`	Convolutional Feature Transfer via Camera-Specific Discriminative Pooling for Person Re-Identification. ICPR Tetsu Matsukawa, Einoshin Suzuki
2020	—	`conf`	Detecting Anomalous Regions from an Image based on Deep Captioning. VISIGRAPP (5: VISAPP) Yusuke Hatae, Qingpu Yang, Muhammad Fikko Fadjrimiratno, YuanYuan Li, Tetsu Matsukawa, Einoshin Suzuki
2020	J	`jnl`	Detecting outliers with one-class selective transfer machine. Knowl. Inf. Syst. Hirofumi Fujita, Tetsu Matsukawa, Einoshin Suzuki
2020	C	`conf`	Experimental Evaluation of GAN-Based One-Class Anomaly Detection on Office Monitoring. ISMIS Ning Dong, Yusuke Hatae, Muhammad Fikko Fadjrimiratno, Tetsu Matsukawa, Einoshin Suzuki
2020	B	`conf`	From Certain to Uncertain: Toward Optimal Solution for Offline Multiple Object Tracking. ICPR Kaikai Zhao, Takashi Imaseki, Hiroshi Mouri, Einoshin Suzuki, Tetsu Matsukawa
2020	J	`jnl`	Hierarchical Gaussian Descriptors with Application to Person Re-Identification. IEEE Trans. Pattern Anal. Mach. Intell. Tetsu Matsukawa, Takahiro Okabe, Einoshin Suzuki, Yoichi Sato
2020	A*	`conf`	Hybrid Context-Aware Word Sense Disambiguation in Topic Modeling based Document Representation. ICDM Wenbo Li, Einoshin Suzuki
2019	J	`jnl`	Experimental validation for N-ary error correcting output codes for ensemble learning of deep neural networks. J. Intell. Inf. Syst. Kaikai Zhao, Tetsu Matsukawa, Einoshin Suzuki
2019	B	`conf`	Harnessing GAN with Metric Learning for One-Shot Generation on a Fine-Grained Category. ICTAI Yusuke Ohtsubo, Tetsu Matsukawa, Einoshin Suzuki
2019	Misc	`conf`	Kernelized Cross-view Quadratic Discriminant Analysis for Person Re-Identification. MVA Tetsu Matsukawa, Einoshin Suzuki
2018	—	`conf`	Exploiting Micro-Clusters to Close The Loop in Data-Mining Robots for Human Monitoring. AAAI Spring Symposia Einoshin Suzuki
2018	B	`conf`	Multimodal Deep Neural Network with Image Sequence Features for Video Captioning. IJCNN Soichiro Oura, Tetsu Matsukawa, Einoshin Suzuki
2018	—	`conf`	One-class Selective Transfer Machine for Personalized Anomalous Facial Expression Detection. VISIGRAPP (5: VISAPP) Hirofumi Fujita, Tetsu Matsukawa, Einoshin Suzuki
2018	B	`conf`	Retraining: A Simple Way to Improve the Ensemble Accuracy of Deep Neural Networks for Image Classification. ICPR Kaikai Zhao, Tetsu Matsukawa, Einoshin Suzuki
2017	J	`jnl`	Hierarchical Gaussian Descriptors with Application to Person Re-Identification. CoRR Tetsu Matsukawa, Takahiro Okabe, Einoshin Suzuki, Yoichi Sato
2017	J	`jnl`	Skeleton clustering by multi-robot monitoring for fall risk discovery. J. Intell. Inf. Syst. Yutaka Deguchi, Daisuke Takayama, Shigeru Takano, Vasile-Marian Scuturici, Jean-Marc Petit, Einoshin Suzuki
2016	A*	`conf`	Hierarchical Gaussian Descriptor for Person Re-identification. CVPR Tetsu Matsukawa, Takahiro Okabe, Einoshin Suzuki, Yoichi Sato
2016	J	`jnl`	Minimizing response time in time series classification. Knowl. Inf. Syst. Shin Ando, Einoshin Suzuki
2016	B	`conf`	Person re-identification using CNN features learned from combination of attributes. ICPR Tetsu Matsukawa, Einoshin Suzuki
2015	J	`jnl`	Classifying actions based on histogram of oriented velocity vectors. J. Intell. Inf. Syst. Somar Boubou, Einoshin Suzuki
2015	C	`conf`	Clustering Classifiers Learnt from Local Datasets Based on Cosine Similarity. ISMIS Kaikai Zhao, Einoshin Suzuki
2015	—	`conf`	Continuous Query Processing Over Data, Streams and Services: Application to Robotics. ADBIS (Short Papers and Workshops) Vasile-Marian Scuturici, Yann Gripay, Jean-Marc Petit, Yutaka Deguchi, Einoshin Suzuki
2015	J	`jnl`	Ensemble anomaly detection from multi-resolution trajectory features. Data Min. Knowl. Discov. Shin Ando, Theerasak Thanomphongphan, Yoichi Seki, Einoshin Suzuki
2015	—	`conf`	Hidden Fatigue Detection for a Desk Worker Using Clustering of Successive Tasks. AmI Yutaka Deguchi, Einoshin Suzuki
2015	B	`conf`	On the Feasibility of Discovering Meta-Patterns from a Data Ensemble. Discovery Science Einoshin Suzuki
2015	—	`conf`	Toward a platform for collecting, mining, and utilizing behavior data for detecting students with depression risks. PETRA Einoshin Suzuki, Yutaka Deguchi, Tetsu Matsukawa, Shin Ando, Hiroaki Ogata, Masanori Sugimoto
2015	—	`conf`	Visual impression localization of autonomous robots. CASE Somar Boubou, A. H. Abdul Hafez, Einoshin Suzuki
2014	—	`conf`	Developing a Face Monitoring Robot for a Desk Worker. AmI Ryosuke Kondo, Yutaka Deguchi, Einoshin Suzuki
2014	A*	`conf`	Discriminative Learning on Exemplary Patterns of Sequential Numerical Data. ICDM Shin Ando, Einoshin Suzuki
2014	—	`conf`	Facial Expression Data Constructed with Kinect and Their Clustering Stability. AMT Angdy Erna, Linli Yu, Kaikai Zhao, Wei Chen, Einoshin Suzuki
2014	J	`jnl`	Finding peculiar compositions of two frequent strings with background texts. Knowl. Inf. Syst. Daisuke Ikeda, Einoshin Suzuki
2014	—	`conf`	Multi-view Onboard Clustering of Skeleton Data for Fall Risk Discovery. AmI Daisuke Takayama, Yutaka Deguchi, Shigeru Takano, Vasile-Marian Scuturici, Jean-Marc Petit, Einoshin Suzuki
2014	—	`conf`	Multiple-robot monitoring system based on a service-oriented DBMS. PETRA Yutaka Deguchi, Daisuke Takayama, Shigeru Takano, Vasile-Marian Scuturici, Jean-Marc Petit, Einoshin Suzuki
2014	A	`conf`	Probabilistic Two-Level Anomaly Detection for Correlated Systems. ECAI Bin Tong, Tetsuro Morimura, Einoshin Suzuki, Tsuyoshi Idé
2014	C	`conf`	Skeleton Clustering by Autonomous Mobile Robots for Subtle Fall Risk Discovery. ISMIS Yutaka Deguchi, Einoshin Suzuki
2014	J	`jnl`	Transfer dimensionality reduction by Gaussian process in parallel. Knowl. Inf. Syst. Bin Tong, Junbin Gao, Thach Huy Nguyen, Hao Shao, Einoshin Suzuki
2013	J	`jnl`	A feature-free and parameter-light multi-task clustering framework. Knowl. Inf. Syst. Thach Huy Nguyen, Hao Shao, Bin Tong, Einoshin Suzuki
2013	—	`conf`	Detecting Academic Plagiarism with Graphs. EGC Bin-Hui Chou, Einoshin Suzuki
2013	J	`jnl`	Extended MDL principle for feature-based inductive transfer learning. Knowl. Inf. Syst. Hao Shao, Bin Tong, Einoshin Suzuki
2013	—	`conf`	Fast Adaptive Object Detection towards a Smart Environment by a Mobile Robot. AmI Shigeru Takano, Ilya Loshchilov, David Meunier, Michèle Sebag, Einoshin Suzuki
2013	J	`jnl`	RoClust: Role discovery for graph clustering. Web Intell. Agent Syst. Bin-Hui Chou, Einoshin Suzuki
2013	J	`jnl`	Special Issue on Discovery Science: Guest Editor's Introduction. Comput. J. Einoshin Suzuki
2013	A	`conf`	Time-sensitive Classification of Behavioral Data. SDM Shin Ando, Einoshin Suzuki
2013	—	`conf`	Towards Facilitating the Development of Monitoring Systems with Low-Cost Autonomous Mobile Robots. ISIP Einoshin Suzuki, Yutaka Deguchi, Daisuke Takayama, Shigeru Takano, Vasile-Marian Scuturici, Jean-Marc Petit
2013	J	`jnl`	Transfer learning by centroid pivoted mapping in noisy environment. J. Intell. Inf. Syst. Thach Huy Nguyen, Bin Tong, Hao Shao, Einoshin Suzuki
2012	B	`conf`	Data Squashing for HSV Subimages by an Autonomous Mobile Robot. Discovery Science Einoshin Suzuki, Emi Matsumoto, Asuki Kouno
2012	—	`conf`	Human Detection by a Small Autonomous Mobile Robot. EGC Kouhei Takemoto, Shigeru Takano, Einoshin Suzuki
2012	B	`conf`	Intelligent Data Analysis by a Home-Use Human Monitoring Robot. IDA Shinsuke Sugaya, Daisuke Takayama, Asuki Kouno, Einoshin Suzuki
2012	J	`jnl`	Linear Semi-Supervised Dimensionality Reduction with Pairwise Constraint for Multiple Subclasses. IEICE Trans. Inf. Syst. Bin Tong, Weifeng Jia, Yanli Ji, Einoshin Suzuki
2012	J	`jnl`	Linear semi-supervised projection clustering by transferred centroid regularization. J. Intell. Inf. Syst. Bin Tong, Hao Shao, Bin-Hui Chou, Einoshin Suzuki
2012	—	`conf`	Predicting the State of a Person by an Office-Use Autonomous Mobile Robot. IAT Asuki Kouno, Daisuke Takayama, Einoshin Suzuki
2012	C	`conf`	Query by Committee in a Heterogeneous Environment. ADMA Hao Shao, Bin Tong, Einoshin Suzuki
2011	C	`conf`	A Compression-Based Dissimilarity Measure for Multi-task Clustering. ISMIS Thach Huy Nguyen, Hao Shao, Bin Tong, Einoshin Suzuki
2011	B	`conf`	A Parameter-Free Method for Discovering Generalized Clusters in a Network. Discovery Science Hiroshi Hirai, Bin-Hui Chou, Einoshin Suzuki
2011	A	`conf`	ACE: Anomaly Clustering Ensemble for Multi-perspective Anomaly Detection in Robot Behaviors. SDM Shin Ando, Einoshin Suzuki, Yoichi Seki, Theerasak Thanongphongphan, Daisuke Hoshino
2011	—	`conf`	Compact Coding for Hyperplane Classifiers in Heterogeneous Environment. ECML/PKDD (3) Hao Shao, Bin Tong, Einoshin Suzuki
2011	A	`conf`	Feature-based Inductive Transfer Learning through Minimum Encoding. SDM Hao Shao, Einoshin Suzuki
2011	A	`conf`	Gaussian Process for Dimensionality Reduction in Transfer Learning. SDM Bin Tong, Junbin Gao, Thach Huy Nguyen, Einoshin Suzuki
2011	—	`conf`	Implementing Camshift on a Mobile Robot for Person Tracking and Pursuit. ICDM Workshops Somar Boubou, Asuki Kouno, Einoshin Suzuki
2011	—	`conf`	New Object Detection for On-board Robot Vision by Lifting Complex Wavelet Transforms. ICDM Workshops Shigeru Takano, Einoshin Suzuki
2011	—	`conf`	On-Board Evolutionary Algorithm and Off-Line Rule Discovery for Column Formation in Swarm Robotics. IAT Asuki Kouno, Jean-Marc Montanier, Shigeru Takano, Nicolas Bredèche, Marc Schoenauer, Michèle Sebag, Einoshin Suzuki
2011	—	`ed.`	Proceedings of the 2011 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2011, Campus Scientifique de la Doua, Lyon, France, August 22-27, 2011 Web Intelligence/IAT Workshops Jomi Fred Hübner, Jean-Marc Petit, Einoshin Suzuki
2011	C	`conf`	Role Discovery for Graph Clustering. APWeb Bin-Hui Chou, Einoshin Suzuki
2011	A*	`conf`	Role-Behavior Analysis from Trajectory Data by Cross-Domain Learning. ICDM Shin Ando, Einoshin Suzuki
2011	—	`conf`	Using SVM to Avoid Humans: A Case of a Small Autonomous Mobile Robot in an Office. ISCIS Emi Matsumoto, Michèle Sebag, Einoshin Suzuki
2010	J	`jnl`	Best papers from the 12th Pacific-Asia conference on knowledge discovery and data mining (PAKDD2008). Knowl. Inf. Syst. Takashi Washio, Einoshin Suzuki, Kai Ming Ting
2010	—	`conf`	Constructing Low-Cost Swarm Robots That March in Column Formation. ANTS Conference Asuki Kouno, Shigeru Takano, Einoshin Suzuki
2010	B	`conf`	Discovering Community-Oriented Roles of Nodes in a Social Network. DaWak Bin-Hui Chou, Einoshin Suzuki
2010	—	`conf`	Semi-supervised Projection Clustering with Transferred Centroid Regularization. ECML/PKDD (3) Bin Tong, Hao Shao, Bin-Hui Chou, Einoshin Suzuki
2010	—	`conf`	Subclass-Oriented Dimension Reduction with Constraint Transformation and Manifold Regularization. PAKDD (2) Bin Tong, Einoshin Suzuki
2010	B	`conf`	Topology Preserving SOM with Transductive Confidence Machine. Discovery Science Bin Tong, Zhiguang Qin, Einoshin Suzuki
2010	—	`conf`	Understanding the Behaviour of Reactive Robots in a Patrol Task by Analysing Their Trajectories. IAT Swagat Kumar, Thach Huy Nguyen, Einoshin Suzuki
2009	C	`conf`	Compression-Based Measures for Mining Interesting Rules. IEA/AIE Einoshin Suzuki
2009	A*	`conf`	Detection of unique temporal segments by information theoretic meta-clustering. KDD Shin Ando, Einoshin Suzuki
2009	B	`conf`	Discovering Action Rules That Are Highly Achievable from Massive Data. PAKDD Einoshin Suzuki
2009	B	`conf`	Finding the Discovery Science Jianbin Wang, Bin-Hui Chou, Einoshin Suzuki
2009	—	`conf`	Mining Peculiar Compositions of Frequent Substrings from Sparse Text Data Using Background Texts. ECML/PKDD (1) Daisuke Ikeda, Einoshin Suzuki
2009	B	`conf`	Negative Encoding Length as a Subjective Interestingness Measure for Groups of Rules. PAKDD Einoshin Suzuki
2009	—	`conf`	Simulating Swarm Robots for Collision Avoidance Problem Based on a Dynamic Bayesian Network. ECAL (2) Hiroshi Hirai, Shigeru Takano, Einoshin Suzuki
2008	B	`ed.`	Advances in Knowledge Discovery and Data Mining, 12th Pacific-Asia Conference, PAKDD 2008, Osaka, Japan, May 20-23, 2008 Proceedings PAKDD Takashi Washio, Einoshin Suzuki, Kai Ming Ting, Akihiro Inokuchi
2008	—	`ch.`	Pitfalls for Categorizations of Objective Interestingness Measures for Rule Discovery. Statistical Implicative Analysis Einoshin Suzuki
2008	—	`book`	Statistical Implicative Analysis, Theory and Applications Statistical Implicative Analysis Régis Gras, Einoshin Suzuki, Fabrice Guillet, Filippo Spagnolo
2008	A*	`conf`	Unsupervised Cross-Domain Learning by Interaction Information Co-clustering. ICDM Shin Ando, Einoshin Suzuki
2007	B	`ed.`	Discovery Science, 10th International Conference, DS 2007, Sendai, Japan, October 1-4, 2007, Proceedings Discovery Science Vincent Corruble, Masayuki Takeda, Einoshin Suzuki
2007	—	`conf`	Peut-on Capturer la Sémantique à Travers la Syntaxe ? - Découverte des Règles d'Exception Simultanée. EGC Einoshin Suzuki
2007	J	`jnl`	Spiral Removal of Exceptional Patients for Mining Chronic Hepatitis Data. New Gener. Comput. Masatoshi Jumi, Muneaki Ohshima, Ning Zhong, Hideto Yokoi, Katsuhiko Takabayashi, Einoshin Suzuki
2007	—	`conf`	Une règle d'exception en Analyse Statistique Implicative. EGC Régis Gras, Pascale Kuntz, Einoshin Suzuki
2007	J	`jnl`	Unifying Framework for Rule Semantics: Application to Gene Expression Data. Fundam. Informaticae Marie Agier, Jean-Marc Petit, Einoshin Suzuki
2006	A*	`conf`	An Information Theoretic Approach to Detection of Minority Subsets in Database. ICDM Shin Ando, Einoshin Suzuki
2006	—	`conf`	Classification non-supervisée de données relationnelles. EGC Jérôme Maloberti, Shin Ando, Einoshin Suzuki
2006	Misc	`conf`	DPITT: Multi-viewpoint Visualization System for Detecting Peculiar WWW Pages Rapidly. GrC Masayuki Hirose, Einoshin Suzuki
2006	J	`jnl`	Data Mining Methods for Discovering Interesting Exceptions from an Unsupervised Table. J. Univers. Comput. Sci. Einoshin Suzuki
2006	B	`conf`	Distributed Multi-objective GA for Generating Comprehensive Pareto Front in Deceptive Optimization Problems. IEEE Congress on Evolutionary Computation Shin Ando, Einoshin Suzuki
2006	—	`conf`	Intuitive Display for Search Engines Toward Fast Detection of Peculiar WWW Pages. WImBI Einoshin Suzuki, Shin Ando, Masayuki Hirose, Masatoshi Jumi
2006	B	`conf`	Strategy Diagram for Identifying Play Strategies in Multi-view Soccer Video Data. Discovery Science Yukihiro Nakamura, Shin Ando, Kenji Aoki, Hiroyuki Mano, Einoshin Suzuki
2006	C	`conf`	Visualizing Transactional Data with Multiple Clusterings for Knowledge Discovery. ISMIS Nicolas Durand, Bruno Crémilleux, Einoshin Suzuki
2005	Misc	`conf`	Mini-Car-Soccer as a testbed for granular computing. GrC Masanori Yoshinaga, Yukihiro Nakamura, Einoshin Suzuki
2005	C	`conf`	Multi-strategy Instance Selection in Mining Chronic Hepatitis Data. ISMIS Masatoshi Jumi, Einoshin Suzuki, Muneaki Ohshima, Ning Zhong, Hideto Yokoi, Katsuhiko Takabayashi
2005	B	`conf`	Sample based crowding method for multimodal optimization in continuous domain. Congress on Evolutionary Computation Shin Ando, Einoshin Suzuki, Shigenobu Kobayashi
2005	C	`conf`	Towards Ad-Hoc Rule Semantics for Gene Expression Data. ISMIS Marie Agier, Jean-Marc Petit, Einoshin Suzuki
2005	J	`jnl`	Unified algorithm for undirected discovery of exception rules. Int. J. Intell. Syst. Einoshin Suzuki, Jan M. Zytkow
2005	J	`jnl`	Worst Case and a Distribution-Based Case Analyses of Sampling for Rule Discovery Based on Generality and Accuracy. Appl. Intell. Einoshin Suzuki
2004	B	`conf`	An Efficient Algorithm for Reducing Clauses Based on Constraint Satisfaction Techniques. ILP Jérôme Maloberti, Einoshin Suzuki
2004	B	`ed.`	Discovery Science, 7th International Conference, DS 2004, Padova, Italy, October 2-5, 2004, Proceedings Discovery Science Einoshin Suzuki, Setsuo Arikawa
2004	—	`conf`	Spiral Discovery of a Separate Prediction Model from Chronic Hepatitis Data. JSAI Workshops Masatoshi Jumi, Einoshin Suzuki, Muneaki Ohshima, Ning Zhong, Hideto Yokoi, Katsuhiko Takabayashi
2004	—	`conf`	Undirected Exception Rule Discovery as Local Pattern Detection. Local Pattern Detection Einoshin Suzuki
2004	B	`conf`	Using WWW-Distribution of Words in Detecting Peculiar Web Pages. Discovery Science Masayuki Hirose, Einoshin Suzuki
2003	A*	`conf`	Decision-tree Induction from Time-series Data Based on a Standard-example Split Test. ICML Yuu Yamada, Einoshin Suzuki, Hideto Yokoi, Katsuhiko Takabayashi
2003	—	`conf`	Detecting Hostile Accesses through Incremental Subspace Clustering. Web Intelligence Masaki Narahashi, Einoshin Suzuki
2003	A*	`conf`	Detecting Interesting Exceptions from Medical Test Data with Visual Summarization. ICDM Einoshin Suzuki, Takeshi Watanabe, Hideto Yokoi, Katsuhiko Takabayashi
2003	—	`conf`	Experimental Evaluation of Time-Series Decision Tree. Active Mining Yuu Yamada, Einoshin Suzuki, Hideto Yokoi, Katsuhiko Takabayashi
2003	C	`ed.`	Foundations of Intelligent Systems, 14th International Symposium, ISMIS 2003, Maebashi City, Japan, October 28-31, 2003, Proceedings ISMIS Ning Zhong, Zbigniew W. Ras, Shusaku Tsumoto, Einoshin Suzuki
2003	B	`conf`	Improving Efficiency of Frequent Query Discovery by Eliminating Non-relevant Candidates. Discovery Science Jérôme Maloberti, Einoshin Suzuki
2002	C	`conf`	Data Squashing for Speeding Up Boosting-Based Outlier Detection. ISMIS Shutaro Inatani, Einoshin Suzuki
2002	A*	`conf`	Finding an Optimal Gain-Ratio Subset-Split Test for a Set-Valued Attribute in Decision Tree Induction. ICML Fumio Takechi, Einoshin Suzuki
2002	—	`conf`	In Pursuit of Interesting Patterns with Undirected Discovery of Exception Rules. Progress in Discovery Science Einoshin Suzuki
2002	—	`conf`	Iterative Data Squashing for Boosting Based on a Distribution-Sensitive Distance. PKDD Yuta Choki, Einoshin Suzuki
2002	B	`conf`	Subspace Clustering Based on Compressibility. Discovery Science Masaki Narahashi, Einoshin Suzuki
2002	B	`conf`	Toward knowledge-driven spiral discovery of exception rules. FUZZ-IEEE Yuu Yamada, Einoshin Suzuki
2002	J	`jnl`	Undirected Discovery of Interesting Exception Rules. Int. J. Pattern Recognit. Artif. Intell. Einoshin Suzuki
2001	—	`conf`	Bloomy Decision Tree for Multi-objective Classification. PKDD Einoshin Suzuki, Masafumi Gotoh, Yuta Choki
2001	B	`conf`	Worst-Case Analysis of Rule Discovery. Discovery Science Einoshin Suzuki
2000	B	`conf`	Evaluating Hypothesis-Driven Exception-Rule Discovery with Medical Data Sets. PAKDD Einoshin Suzuki, Shusaku Tsumoto
2000	B	`conf`	Exception Rule Mining with a Relative Interestingness Measure. PAKDD Farhad Hussain, Huan Liu, Einoshin Suzuki, Hongjun Lu
2000	B	`conf`	Issues in Organizing a Successful Knowledge Discovery Contest. Discovery Science Einoshin Suzuki
2000	—	`conf`	Research Topics Discovery from WWW by Keywords Association Rules. Rough Sets and Current Trends in Computing David Ramamonjisoa, Einoshin Suzuki, Issam A. Hamid
2000	—	`conf`	Unified Algorithm for Undirected Discovery of Execption Rules. PKDD Einoshin Suzuki, Jan M. Zytkow
1999	B	`conf`	Normal Form Transformation for Object Recognition Based on Support Vector Machines. Discovery Science Shinsuke Sugaya, Einoshin Suzuki
1999	B	`conf`	Prediction Rule Discovery Based on Dynamic Bias Selection. PAKDD Einoshin Suzuki, Toru Ohno
1999	B	`conf`	Scheduled Discovery of Exception Rules. Discovery Science Einoshin Suzuki
1999	—	`conf`	Support Vector Machines for Knowledge Discovery. PKDD Shinsuke Sugaya, Einoshin Suzuki, Shusaku Tsumoto
1999	—	`conf`	Visualizing Discovered Rule Sets with Visual Graphs Based on Compressed Entropy Density. RSFDGrC Einoshin Suzuki, Hiroki Ishihara
1998	—	`conf`	Discovery of Surprising Exception Rules Based on Intensity of Implication. PKDD Einoshin Suzuki, Yves Kodratoff
1998	A*	`conf`	Simultaneous Reliability Evaluation of Generality and Accuracy for Rule Discovery in Databases. KDD Einoshin Suzuki
1997	A*	`conf`	Autonomous Discovery of Reliable Exception Rules. KDD Einoshin Suzuki
1996	A*	`conf`	Exceptional Knowledge Discovery in Databases Based on Information Theory. KDD Einoshin Suzuki, Masamichi Shimura
1994	A*	`conf`	Knowledge-Based Handling of Design Expertise. ICDE Pierre Morizet-Mahoudeaux, Einoshin Suzuki, Setsuo Ohsuga
1993	J	`jnl`	Knowledge-based system for computer-aided drug design. Knowl. Based Syst. Einoshin Suzuki, Tatsuya Akutsu, Setsuo Ohsuga
1991	J	`jnl`	Logic-based approach to expert systems in chemistry. Knowl. Based Syst. Tatsuya Akutsu, Einoshin Suzuki, Setsuo Ohsuga