Einoshin Suzuki

Michèle Sebag, Marc Schoenauer, Einoshin Suzuki, 2011, 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology.

Skeleton clustering by multi-robot monitoring for fall risk discovery

Jean-Marc Petit, Einoshin Suzuki, Vasile-Marian Scuturici, 2015, Journal of Intelligent Information Systems.

An Information Theoretic Approach to Detection of Minority Subsets in Database

Einoshin Suzuki, Shin Ando, S. Ando, 2006, Sixth International Conference on Data Mining (ICDM'06).

Decision-tree Induction from Time-series Data Based on Dynamic Time Warping

Einoshin Suzuki, Yuu Yamada, Hideto Yokoi, 2003 .

Compression-Based Measures for Mining Interesting Rules

Einoshin Suzuki, Einoshin Suzuki, 2009, IEA/AIE.

Peut-on Capturer la Sémantique à Travers la Syntaxe ? - Découverte des Règles d'Exception Simultanée

Einoshin Suzuki, Einoshin Suzuki, 2007, EGC.

ACE: Anomaly Clustering Ensemble for Multi-perspective Anomaly Detection in Robot Behaviors

Einoshin Suzuki, Yoichi Seki, Shin Ando, 2011, SDM.

Toward a platform for collecting, mining, and utilizing behavior data for detecting students with depression risks

Masanori Sugimoto, Hiroaki Ogata, Tetsu Matsukawa, 2015, PETRA.

Discriminative Learning on Exemplary Patterns of Sequential Numerical Data

Einoshin Suzuki, Shin Ando, 2014, 2014 IEEE International Conference on Data Mining.

Discovery of Exception Association Rules Based on Breadth-First Search

Einoshin Suzuki, Mitsutoshi Nagahama, Einoshin Suzuki, 2001 .

Hierarchical Gaussian Descriptors with Application to Person Re-Identification

Takahiro Okabe, Yoichi Sato, Tetsu Matsukawa, 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.

RoClust: Role discovery for graph clustering

Einoshin Suzuki, Bin-Hui Chou, Einoshin Suzuki, 2013, Web Intell. Agent Syst..

Discovering Interesting Exception Rules with Rule Pair

Einoshin Suzuki, Einoshin Suzuki, 2004 .

Best papers from the 12th Pacific-Asia conference on knowledge discovery and data mining (PAKDD2008)

Kai Ming Ting, Takashi Washio, Einoshin Suzuki, 2010, Knowledge and Information Systems.

Data Mining Methods for Discovering Interesting Exceptions from an Unsupervised Table

Einoshin Suzuki, Einoshin Suzuki, 2006, J. Univers. Comput. Sci..

Gaussian Process for Dimensionality Reduction in Transfer Learning

Junbin Gao, Thach Huy Nguyen, Einoshin Suzuki, 2011, SDM.

A Parameter-Free Method for Discovering Generalized Clusters in a Network

Einoshin Suzuki, Bin-Hui Chou, Hiroshi Hirai, 2011, Discovery Science.

Bloomy Decision Tree for Multi-objective Classification

Einoshin Suzuki, Masafumi Gotoh, Yuta Choki, 2001, PKDD.

Discovery of Surprising Exception Rules Based on Intensity of Implication

Einoshin Suzuki, Yves Kodratoff, Einoshin Suzuki, 1998, PKDD.

Mini-Car-Soccer as a testbed for granular computing

Einoshin Suzuki, Yukihiro Nakamura, Masanori Yoshinaga, 2005, 2005 IEEE International Conference on Granular Computing.

Role Discovery for Graph Clustering

Einoshin Suzuki, Bin-Hui Chou, Einoshin Suzuki, 2011, APWeb.

Sample based crowding method for multimodal optimization in continuous domain

Shigenobu Kobayashi, Einoshin Suzuki, Shin Ando, 2005, 2005 IEEE Congress on Evolutionary Computation.

An information theoretic approach to detection of minority subsets

Shigenobu Kobayashi, Jun Sakuma, Einoshin Suzuki, 2007 .

Strategy Diagram for Identifying Play Strategies in Multi-view Soccer Video Data

Einoshin Suzuki, Yukihiro Nakamura, Shin Ando, 2006, Discovery Science.

Knowledge-based handling of design expertise

Pierre Morizet-Mahoudeaux, Setsuo Ohsuga, Einoshin Suzuki, 1994, Proceedings of 1994 IEEE 10th International Conference on Data Engineering.

Human Detection by a Small Autonomous Mobile Robot

Einoshin Suzuki, Shigeru Takano, Kouhei Takemoto, 2012, European Grid Conference.

Unified algorithm for undirected discovery of exception rules: Research Articles

Einoshin Suzuki, Jan M. Żytkow, 2005 .

Hierarchical Gaussian Descriptor for Person Re-identification

Takahiro Okabe, Yoichi Sato, Tetsu Matsukawa, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Discovering Action Rules That Are Highly Achievable from Massive Data

Einoshin Suzuki, Einoshin Suzuki, 2009, PAKDD.

Finding an Optimal Gain-Ratio Subset-Split Test for a Set-Valued Attribute in Decision Tree Induction

Einoshin Suzuki, Fumio Takechi, Einoshin Suzuki, 2002, ICML.

Discovery system for exception knowledge based on a stochastic confidence evaluation method

Einoshin Suzuki, Einoshin Suzuki, 1997 .

Linear semi-supervised projection clustering by transferred centroid regularization

Hao Shao, Einoshin Suzuki, Bin Tong, 2012, Journal of Intelligent Information Systems.

Spiral Discovery of a Separate Prediction Model from Chronic Hepatitis Data

Ning Zhong, Einoshin Suzuki, Katsuhiko Takabayashi, 2004, JSAI Workshops.

Context-Aware Latent Dirichlet Allocation for Topic Segmentation

Tetsu Matsukawa, Einoshin Suzuki, Hiroto Saigo, 2020, PAKDD.

Simultaneous Reliability Evaluation of Generality and Accuracy for Rule Discovery in Databases

Einoshin Suzuki, 1998, KDD.

Unifying Framework for Rule Semantics: Application to Gene Expression Data

Jean-Marc Petit, Einoshin Suzuki, Marie Pailloux, 2007, Fundam. Informaticae.

Transfer learning by centroid pivoted mapping in noisy environment

Thach Huy Nguyen, Hao Shao, Einoshin Suzuki, 2012, Journal of Intelligent Information Systems.

Hidden Fatigue Detection for a Desk Worker Using Clustering of Successive Tasks

Einoshin Suzuki, Yutaka Deguchi, Einoshin Suzuki, 2015, AmI.

Classifying actions based on histogram of oriented velocity vectors

Einoshin Suzuki, Somar Boubou, 2014, Journal of Intelligent Information Systems.

Fast Adaptive Object Detection towards a Smart Environment by a Mobile Robot

Michèle Sebag, Einoshin Suzuki, Ilya Loshchilov, 2013, AmI.

Experimental Evaluation of Time-Series Decision Tree

Einoshin Suzuki, Katsuhiko Takabayashi, Yuu Yamada, 2003, Active Mining.

Undirected Exception Rule Discovery as Local Pattern Detection

Einoshin Suzuki, 2004, Local Pattern Detection.

Predicting the State of a Person by an Office-Use Autonomous Mobile Robot

Einoshin Suzuki, Asuki Kouno, Daisuke Takayama, 2012, 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology.

Exceptional Knowledge Discovery in Databases based on

Masamichi Shimura, Einoshin Suzuki, 1999 .

Negative Encoding Length as a Subjective Interestingness Measure for Groups of Rules

Einoshin Suzuki, Einoshin Suzuki, 2009, PAKDD.

Implementing Camshift on a Mobile Robot for Person Tracking and Pursuit

Einoshin Suzuki, Asuki Kouno, Somar Boubou, 2011, 2011 IEEE 11th International Conference on Data Mining Workshops.

Outlier Detection Based on Decision Tree and Boosting

Einoshin Suzuki, Takeshi Watanabe, Einoshin Suzuki, 2002 .

LF-007 Classifying Unique Web Pages Using a Search Engine

Einoshin Suzuki, Masayuki Hirose, Einoshin Suzuki, 2004 .

Toward a novel design of swarm robots based on the dynamic Bayesian network

Hiroshi Hirai, Einoshin Suzuki, Shigeru Takano, 2009 .

Subspace Clustering Based on Compressibility

Einoshin Suzuki, Masaki Narahashi, 2002, Discovery Science.

An Efficient Algorithm for Reducing Clauses Based on Constraint Satisfaction Techniques

Einoshin Suzuki, Jérôme Maloberti, Einoshin Suzuki, 2004, ILP.

Ensemble anomaly detection from multi-resolution trajectory features

Einoshin Suzuki, Yoichi Seki, Shin Ando, 2013, Data Mining and Knowledge Discovery.

Multi-strategy Instance Selection in Mining Chronic Hepatitis Data

Ning Zhong, Einoshin Suzuki, Katsuhiko Takabayashi, 2005, ISMIS.

Multimodal Deep Neural Network with Image Sequence Features for Video Captioning

Tetsu Matsukawa, Einoshin Suzuki, Soichiro Oura, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Using SVM to Avoid Humans: A Case of a Small Autonomous Mobile Robot in an Office

Michèle Sebag, Einoshin Suzuki, Emi Matsumoto, 2011, ISCIS.

Linear Semi-Supervised Dimensionality Reduction with Pairwise Constraint for Multiple Subclasses

Einoshin Suzuki, Bin Tong, Yanli Ji, 2012, IEICE Trans. Inf. Syst..

Advances in Knowledge Discovery and Data Mining, 12th Pacific-Asia Conference, PAKDD 2008, Osaka, Japan, May 20-23, 2008 Proceedings

Kai Ming Ting, Einoshin Suzuki, Akihiro Inokuchi, 2008, PAKDD.

Minimizing response time in time series classification

Einoshin Suzuki, Shin Ando, 2015, Knowledge and Information Systems.

Issues in Organizing a Successful Knowledge Discovery Contest

Einoshin Suzuki, Einoshin Suzuki, 2000, Discovery Science.

A feature-free and parameter-light multi-task clustering framework

Thach Huy Nguyen, Hao Shao, Einoshin Suzuki, 2012, Knowledge and Information Systems.

Detecting hostile accesses through incremental subspace clustering

Einoshin Suzuki, Masaki Narahashi, 2003, Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003).

Visualizing Transactional Data with Multiple Clusterings for Knowledge Discovery

Bruno Crémilleux, Einoshin Suzuki, Nicolas Durand, 2006, ISMIS.

Multi-objective classification based on bloomy decision tree

Einoshin Suzuki, Yuta Choki, Masafumi Gotoh, 2001 .

Statistical Implicative Analysis, Theory and Applications

Fabrice Guillet, Einoshin Suzuki, Filippo Spagnolo, 2008, Statistical Implicative Analysis.

Simulating Swarm Robots for Collision Avoidance Problem Based on a Dynamic Bayesian Network

Einoshin Suzuki, Shigeru Takano, Hiroshi Hirai, 2009, ECAL.

Evaluating Hypothesis-Driven Exception-Rule Discovery with Medical Data Sets

Shusaku Tsumoto, Einoshin Suzuki, 2000, PAKDD.

Exception Rule Mining with a Relative Interestingness Measure

Hongjun Lu, Huan Liu, Einoshin Suzuki, 2000, PAKDD.

Multiple-robot monitoring system based on a service-oriented DBMS

Jean-Marc Petit, Einoshin Suzuki, Vasile-Marian Scuturici, 2014, PETRA '14.

Multi-view Onboard Clustering of Skeleton Data for Fall Risk Discovery

Jean-Marc Petit, Einoshin Suzuki, Vasile-Marian Scuturici, 2014, AmI.

Detecting Academic Plagiarism with Graphs

Einoshin Suzuki, Bin-Hui Chou, 2013, EGC.

Query by Committee in a Heterogeneous Environment

Hao Shao, Einoshin Suzuki, Bin Tong, 2012, ADMA.

Exploiting Micro-Clusters to Close The Loop in Data-Mining Robots for Human Monitoring

Einoshin Suzuki, Einoshin Suzuki, 2018, AAAI Spring Symposia.

Research Topics Discovery from WWW by Keywords Association Rules

Einoshin Suzuki, Issam A. Hamid, David Ramamonjisoa, 2000, Rough Sets and Current Trends in Computing.

Data Squashing for Speeding Up Boosting-Based Outlier Detection

Einoshin Suzuki, Shutaro Inatani, Einoshin Suzuki, 2002, ISMIS.

Semi-supervised Projection Clustering with Transferred Centroid Regularization

Hao Shao, Einoshin Suzuki, Bin Tong, 2010, ECML/PKDD.

Feature-based Inductive Transfer Learning through Minimum Encoding

Hao Shao, Einoshin Suzuki, Einoshin Suzuki, 2011, SDM.

Visual impression localization of autonomous robots

Einoshin Suzuki, A. H. Abdul Hafez, Somar Boubou, 2015, 2015 IEEE International Conference on Automation Science and Engineering (CASE).

Skeleton Clustering by Autonomous Mobile Robots for Subtle Fall Risk Discovery

Einoshin Suzuki, Yutaka Deguchi, 2014, ISMIS.

Data Squashing for HSV Subimages by an Autonomous Mobile Robot

Einoshin Suzuki, Asuki Kouno, Emi Matsumoto, 2012, Discovery Science.

Exceptional Knowledge Discovery in Databases Based on Information Theory

Masamichi Shimura, Einoshin Suzuki, Einoshin Suzuki, 1996, KDD.

Time-sensitive Classification of Behavioral Data

Einoshin Suzuki, Shin Ando, 2013, SDM.

Detection of unique temporal segments by information theoretic meta-clustering

Einoshin Suzuki, Shin Ando, S. Ando, 2009, KDD.

New Object Detection for On-board Robot Vision by Lifting Complex Wavelet Transforms

Einoshin Suzuki, Shigeru Takano, 2011, 2011 IEEE 11th International Conference on Data Mining Workshops.

Undirected Discovery of Interesting Exception Rules

Einoshin Suzuki, Einoshin Suzuki, 2002, Int. J. Pattern Recognit. Artif. Intell..

Instance Selection Based on Support Vector Machine for Knowledge Discovery in Medical Database

Einoshin Suzuki, Shusaku Tsumoto, Shinsuke Sugaya, 2001 .

Fast Clustering for Time-series Data with Average-time-sequence-vector Generation Based on Dynamic Time Warping

Einoshin Suzuki, Yuu Yamada, Kazuki Nakamoto, 2003 .

Towards Ad-Hoc Rule Semantics for Gene Expression Data

Jean-Marc Petit, Einoshin Suzuki, Marie Pailloux, 2005, ISMIS.

Using WWW-Distribution of Words in Detecting Peculiar Web Pages

Einoshin Suzuki, Masayuki Hirose, 2004, Discovery Science.

Detecting Clusters of Outliers with Information Theoretic Clustering

Einoshin Suzuki, Shin Ando, 2008 .

Normal Form Transformation for Object Recognition Based on Support Vector Machines

Einoshin Suzuki, Shinsuke Sugaya, 1999, Discovery Science.

Une règle d'exception en Analyse Statistique Implicative

Régis Gras, Pascale Kuntz, Einoshin Suzuki, 2007, EGC.

Foundations of Intelligent Systems

Shusaku Tsumoto, Ning Zhong, Einoshin Suzuki, 2003, Lecture Notes in Computer Science.

Subclass-Oriented Dimension Reduction with Constraint Transformation and Manifold Regularization

Einoshin Suzuki, Bin Tong, Einoshin Suzuki, 2010, PAKDD.

Retraining: A Simple Way to Improve the Ensemble Accuracy of Deep Neural Networks for Image Classification

Tetsu Matsukawa, Einoshin Suzuki, Kaikai Zhao, 2018, 2018 24th International Conference on Pattern Recognition (ICPR).

Disease Definition Based on Spiral Discovery of Exceptions (Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ and IEICE-SIGAI on Active Mining) -- (Session 2: Medical Active Mining)

Einoshin Suzuki, Masatoshi Jumi, Muneaki Ohshima, 2004 .

Extended MDL principle for feature-based inductive transfer learning

Hao Shao, Einoshin Suzuki, Bin Tong, 2012, Knowledge and Information Systems.

Pitfalls for Categorizations of Objective Interestingness Measures for Rule Discovery

Einoshin Suzuki, Einoshin Suzuki, 2008, Statistical Implicative Analysis.

On the Feasibility of Discovering Meta-Patterns from a Data Ensemble

Einoshin Suzuki, Einoshin Suzuki, 2015, Discovery Science.

Prediction Rule Discovery Based on Dynamic Bias Selection

Einoshin Suzuki, Toru Ohno, 1999, PAKDD.

Improving Efficiency of Frequent Query Discovery by Eliminating Non-relevant Candidates

Einoshin Suzuki, Jérôme Maloberti, Einoshin Suzuki, 2003, Discovery Science.

Facial Expression Data Constructed with Kinect and Their Clustering Stability

Wei Chen, Einoshin Suzuki, Kaikai Zhao, 2014, AMT.

Discovering Community-Oriented Roles of Nodes in a Social Network

Einoshin Suzuki, Bin-Hui Chou, Einoshin Suzuki, 2010, DaWak.

Classification non-supervisée de données relationnelles

Einoshin Suzuki, Shin Ando, Jérôme Maloberti, 2006, EGC.

Categorizing Undirected Discovery of Exception Rules (小特集「発見科学」及び一般演題)

Jan M. Zytkow, Einoshin Suzuki, Einoshin Suzuki, 2000 .

Detecting hostile accesses to a web site using a visualization method based on probabilistic clustering

Einoshin Suzuki, Naoko Hirose, 2005 .

Compact Coding for Hyperplane Classifiers in Heterogeneous Environment

Hao Shao, Einoshin Suzuki, Bin Tong, 2011, ECML/PKDD.

Experimental validation for N-ary error correcting output codes for ensemble learning of deep neural networks

Tetsu Matsukawa, Einoshin Suzuki, Kaikai Zhao, 2018, Journal of Intelligent Information Systems.

Distributed Multi-objective GA for Generating Comprehensive Pareto Front in Deceptive Optimization Problems

Einoshin Suzuki, Shin Ando, S. Ando, 2006, 2006 IEEE International Conference on Evolutionary Computation.

Transfer dimensionality reduction by Gaussian process in parallel

Junbin Gao, Thach Huy Nguyen, Hao Shao, 2013, Knowledge and Information Systems.

Developing a Face Monitoring Robot for a Desk Worker

Einoshin Suzuki, Yutaka Deguchi, Ryosuke Kondo, 2014, AmI.

DPITT: Multi-viewpoint Visualization System for Detecting Peculiar WWW Pages Rapidly

Einoshin Suzuki, Masayuki Hirose, 2006, 2006 IEEE International Conference on Granular Computing.

Finding peculiar compositions of two frequent strings with background texts

Daisuke Ikeda, Einoshin Suzuki, 2013, Knowledge and Information Systems.

Unified Algorithm for Undirected Discovery of Execption Rules

Jan M. Zytkow, Einoshin Suzuki, 2000, PKDD.

Visualizing Discovered Rule Sets with Visual Graphs Based on Compressed Entropy Density

Einoshin Suzuki, Hiroki Ishihara, Einoshin Suzuki, 1999, RSFDGrC.

Decision-tree Induction from Time-series Data Based on a Standard-example Split Test

Einoshin Suzuki, Katsuhiko Takabayashi, Yuu Yamada, 2003, ICML.

Mining Peculiar Compositions of Frequent Substrings from Sparse Text Data Using Background Texts

Daisuke Ikeda, Einoshin Suzuki, Einoshin Suzuki, 2009, ECML/PKDD.

Constructing Low-Cost Swarm Robots That March in Column Formation

Einoshin Suzuki, Shigeru Takano, Asuki Kouno, 2010, ANTS Conference.

Knowledge-based system for computer-aided drug design

Tatsuya Akutsu, Setsuo Ohsuga, Einoshin Suzuki, 1993, Knowl. Based Syst..

Toward knowledge-driven spiral discovery of exception rules

Einoshin Suzuki, Y. Yamada, Einoshin Suzuki, 2002, 2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291).

Finding the k-Most Abnormal Subgraphs from a Single Graph

Einoshin Suzuki, Bin-Hui Chou, JianBin Wang, 2009, Discovery Science.

Unsupervised Cross-Domain Learning by Interaction Information Co-clustering

Einoshin Suzuki, Shin Ando, 2008, 2008 Eighth IEEE International Conference on Data Mining.

Discovery Science

Setsuo Arikawa, Einoshin Suzuki, J. Siekmann, 2004, Lecture Notes in Computer Science.

Detecting interesting exceptions from medical test data with visual summarization

Einoshin Suzuki, Takeshi Watanabe, Katsuhiko Takabayashi, 2003, Third IEEE International Conference on Data Mining.

Web Intelligence and Intelligent Agent Technology

Jean-Marc Petit, Einoshin Suzuki, Jomi Fred Hübner, 2011 .

Understanding the Behaviour of Reactive Robots in a Patrol Task by Analysing Their Trajectories

Thach Huy Nguyen, Einoshin Suzuki, Swagat Kumar, 2010, 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology.

Discovery science : 7th International Conference, DS 2004, Padova, Italy, October 2-5, 2004 : proceedings

Einoshin Suzuki, 有川節夫, 2004 .

Experimental Evaluation of GAN-Based One-Class Anomaly Detection on Office Monitoring

Tetsu Matsukawa, Einoshin Suzuki, Yusuke Hatae, 2020, International Syposium on Methodologies for Intelligent Systems.

Towards Facilitating the Development of Monitoring Systems with Low-Cost Autonomous Mobile Robots

Jean-Marc Petit, Einoshin Suzuki, Vasile-Marian Scuturici, 2013, ISIP.

Clustering Classifiers Learnt from Local Datasets Based on Cosine Similarity

Einoshin Suzuki, Kaikai Zhao, 2015, ISMIS.

Worst Case and a Distribution-Based Case Analyses of Sampling for Rule Discovery Based on Generality and Accuracy

Einoshin Suzuki, 2004, Applied Intelligence.

Logic-based approach to expert systems in chemistry

Tatsuya Akutsu, Setsuo Ohsuga, Einoshin Suzuki, 1991, Knowl. Based Syst..

Probabilistic Two-Level Anomaly Detection for Correlated Systems

Einoshin Suzuki, Tetsuro Morimura, Tsuyoshi Idé, 2014, ECAI.

Role-Behavior Analysis from Trajectory Data by Cross-Domain Learning

Einoshin Suzuki, Shin Ando, 2011, 2011 IEEE 11th International Conference on Data Mining.

Spiral Removal of Exceptional Patients for Mining Chronic Hepatitis Data

Ning Zhong, Einoshin Suzuki, Katsuhiko Takabayashi, 2007, New Generation Computing.

Intelligent Data Analysis by a Home-Use Human Monitoring Robot

Einoshin Suzuki, Asuki Kouno, Shinsuke Sugaya, 2012, IDA.

Support Vector Machines for Knowledge Discovery

Shusaku Tsumoto, Einoshin Suzuki, Shinsuke Sugaya, 1999, PKDD.

Unified algorithm for undirected discovery of exception rules

Jan M. Zytkow, Einoshin Suzuki, Einoshin Suzuki, 2005, Int. J. Intell. Syst..

Person re-identification using CNN features learned from combination of attributes

Tetsu Matsukawa, Einoshin Suzuki, Einoshin Suzuki, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

From Certain to Uncertain: Toward Optimal Solution for Offline Multiple Object Tracking

Hiroshi Mouri, Tetsu Matsukawa, Einoshin Suzuki, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

Convolutional Feature Transfer via Camera-Specific Discriminative Pooling for Person Re-Identification

Tetsu Matsukawa, Einoshin Suzuki, Einoshin Suzuki, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

Semi-Supervised Few-Shot Classification with Deep Invertible Hybrid Models pdf

Tetsu Matsukawa, Einoshin Suzuki, Yusuke Ohtsubo, 2021, ArXiv.

Adaptive and hybrid context-aware fine-grained word sense disambiguation in topic modeling based document representation

Einoshin Suzuki, Wenbo Li, Einoshin Suzuki, 2021, Inf. Process. Manag..

Detecting Anomalies from Human Activities by an Autonomous Mobile Robot based on "Fast and Slow" Thinking

Tetsu Matsukawa, Einoshin Suzuki, Yusuke Hatae, 2021, VISIGRAPP.

Context-Based Anomaly Detection via Spatial Attributed Graphs in Human Monitoring

Einoshin Suzuki, Muhammad Fikko Fadjrimiratno, Kang Zhang, 2021, International Conference on Neural Information Processing.

Contrastive Goal Grouping for Policy Generalization in Goal-Conditioned Reinforcement Learning

Qiming Zou, Einoshin Suzuki, Einoshin Suzuki, 2021, ICONIP.

Topic modeling for sequential documents based on hybrid inter-document topic dependency

Einoshin Suzuki, Bin Tong, Hiroto Saigo, 2021, Journal of Intelligent Information Systems.

Sparse Nonnegative Interaction Models

Yasuo Tabei, Einoshin Suzuki, Hiroto Saigo, 2021, IEEE Access.

GIAD: Generative Inpainting-Based Anomaly Detection via Self-Supervised Learning for Human Monitoring

Einoshin Suzuki, Ning Dong, Einoshin Suzuki, 2021, PRICAI.

Statistical Implicative Analysis

Fabrice Guillet, Einoshin Suzuki, Einoshin Suzuki, 2008 .

Exception Rule Mining with a RelativeInterestingness

Hongjun Lu, Huan Liu, Einoshin Suzuki, 2000 .

Mining Financial Data with Scheduled Discovery of Exception Rules

Einoshin Suzuki, Einoshin Suzuki, 2000 .

Supplementary Material for Hierarchical Gaussian Descriptor for Person Re-Identification

Takahiro Okabe, Yoichi Sato, Tetsu Matsukawa, 2016 .

Application of PrototypeLines to Chronic Hepatitis Data

Einoshin Suzuki, Katsuhiko Takabayashi, Hideto Yokoi, 2003 .

A Symbolic Representation for Trajectory Data

Einoshin Suzuki, Einoshin Suzuki, Huy Nguyen, 2010 .