| 2025 | AIES | Complete Categorization of Instinct-Exploiting Data-Explanations and Their Generation with Large-Language Models. | Taro Higuchi, Einoshin Suzuki |
| 2025 | VISIGRAPP | Leveraging Vision Language Models for Understanding and Detecting Violence in Videos. | Jose Alejandro Avellaneda Gonzalez, Tetsu Matsukawa, Einoshin Suzuki |
| 2024 | ICPR | A Robust Person Shape Representation via Grassmann Channel Pooling. | Tetsu Matsukawa, Einoshin Suzuki |
| 2024 | PAKDD | SATJiP: Spatial and Augmented Temporal Jigsaw Puzzles for Video Anomaly Detection. | Liheng Shen, Tetsu Matsukawa, Einoshin Suzuki |
| 2024 | VISIGRAPP | Image Generation from Hyper Scene Graphs with Trinomial Hyperedges Using Object Attention. | Ryosuke Miyake, Tetsu Matsukawa, Einoshin Suzuki |
| 2023 | CIKM | Class-Specific Word Sense Aware Topic Modeling via Soft Orthogonalized Topics. | Wenbo Li, Yao Yang, Einoshin Suzuki |
| 2023 | ICRA | Sample-Efficient Goal-Conditioned Reinforcement Learning via Predictive Information Bottleneck for Goal Representation Learning. | Qiming Zou, Einoshin Suzuki |
| 2022 | AIES | Judging Instinct Exploitation in Statistical Data Explanations Based on Word Embedding. | Kang Zhang, Hiroaki Shinden, Tatsuki Mutsuro, Einoshin Suzuki |
| 2022 | PRICAI | Detecting Video Anomalous Events with an Enhanced Abnormality Score. | Liheng Shen, Tetsu Matsukawa, Einoshin Suzuki |
| 2021 | ICONIP | Context-Based Anomaly Detection via Spatial Attributed Graphs in Human Monitoring. | Kang Zhang, Muhammad Fikko Fadjrimiratno, Einoshin Suzuki |
| 2021 | ICONIP | Contrastive Goal Grouping for Policy Generalization in Goal-Conditioned Reinforcement Learning. | Qiming Zou, Einoshin Suzuki |
| 2021 | PRICAI | GIAD: Generative Inpainting-Based Anomaly Detection via Self-Supervised Learning for Human Monitoring. | Ning Dong, Einoshin Suzuki |
| 2020 | ICDM | Hybrid Context-Aware Word Sense Disambiguation in Topic Modeling based Document Representation. | Wenbo Li, Einoshin Suzuki |
| 2020 | ICPR | Convolutional Feature Transfer via Camera-Specific Discriminative Pooling for Person Re-Identification. | Tetsu Matsukawa, Einoshin Suzuki |
| 2020 | ICPR | From Certain to Uncertain: Toward Optimal Solution for Offline Multiple Object Tracking. | Kaikai Zhao, Takashi Imaseki, Hiroshi Mouri, Einoshin Suzuki, Tetsu Matsukawa |
| 2020 | ISMIS | Experimental Evaluation of GAN-Based One-Class Anomaly Detection on Office Monitoring. | Ning Dong, Yusuke Hatae, Muhammad Fikko Fadjrimiratno, Tetsu Matsukawa, Einoshin Suzuki |
| 2020 | PAKDD | Context-Aware Latent Dirichlet Allocation for Topic Segmentation. | Wenbo Li, Tetsu Matsukawa, Hiroto Saigo, Einoshin Suzuki |
| 2019 | ICTAI | Harnessing GAN with Metric Learning for One-Shot Generation on a Fine-Grained Category. | Yusuke Ohtsubo, Tetsu Matsukawa, Einoshin Suzuki |
| 2019 | MVA | Kernelized Cross-view Quadratic Discriminant Analysis for Person Re-Identification. | Tetsu Matsukawa, Einoshin Suzuki |
| 2018 | ICPR | Retraining: A Simple Way to Improve the Ensemble Accuracy of Deep Neural Networks for Image Classification. | Kaikai Zhao, Tetsu Matsukawa, Einoshin Suzuki |
| 2018 | IJCNN | Multimodal Deep Neural Network with Image Sequence Features for Video Captioning. | Soichiro Oura, Tetsu Matsukawa, Einoshin Suzuki |
| 2016 | CVPR | Hierarchical Gaussian Descriptor for Person Re-identification. | Tetsu Matsukawa, Takahiro Okabe, Einoshin Suzuki, Yoichi Sato |
| 2016 | ICPR | Person re-identification using CNN features learned from combination of attributes. | Tetsu Matsukawa, Einoshin Suzuki |
| 2015 | ADBIS | Continuous Query Processing Over Data, Streams and Services: Application to Robotics. | Vasile-Marian Scuturici, Yann Gripay, Jean-Marc Petit, Yutaka Deguchi, Einoshin Suzuki |
| 2015 | DIS | On the Feasibility of Discovering Meta-Patterns from a Data Ensemble. | Einoshin Suzuki |
| 2015 | ISMIS | Clustering Classifiers Learnt from Local Datasets Based on Cosine Similarity. | Kaikai Zhao, Einoshin Suzuki |
| 2014 | ECAI | Probabilistic Two-Level Anomaly Detection for Correlated Systems. | Bin Tong, Tetsuro Morimura, Einoshin Suzuki, Tsuyoshi Id |
| 2014 | ICDM | Discriminative Learning on Exemplary Patterns of Sequential Numerical Data. | Shin Ando, Einoshin Suzuki |
| 2014 | ISMIS | Skeleton Clustering by Autonomous Mobile Robots for Subtle Fall Risk Discovery. | Yutaka Deguchi, Einoshin Suzuki |
| 2013 | SDM | Time-sensitive Classification of Behavioral Data. | Shin Ando, Einoshin Suzuki |
| 2012 | ADMA | Query by Committee in a Heterogeneous Environment. | Hao Shao, Bin Tong, Einoshin Suzuki |
| 2012 | DIS | Data Squashing for HSV Subimages by an Autonomous Mobile Robot. | Einoshin Suzuki, Emi Matsumoto, Asuki Kouno |
| 2012 | IDA | Intelligent Data Analysis by a Home-Use Human Monitoring Robot. | Shinsuke Sugaya, Daisuke Takayama, Asuki Kouno, Einoshin Suzuki |
| 2011 | APWEB | Role Discovery for Graph Clustering. | Bin-Hui Chou, Einoshin Suzuki |
| 2011 | DIS | A Parameter-Free Method for Discovering Generalized Clusters in a Network. | Hiroshi Hirai, Bin-Hui Chou, Einoshin Suzuki |
| 2011 | ICDM | Role-Behavior Analysis from Trajectory Data by Cross-Domain Learning. | Shin Ando, Einoshin Suzuki |
| 2011 | ICDM | Implementing Camshift on a Mobile Robot for Person Tracking and Pursuit. | Somar Boubou, Asuki Kouno, Einoshin Suzuki |
| 2011 | ICDM | New Object Detection for On-board Robot Vision by Lifting Complex Wavelet Transforms. | Shigeru Takano, Einoshin Suzuki |
| 2011 | ISMIS | A Compression-Based Dissimilarity Measure for Multi-task Clustering. | Thach Huy Nguyen, Hao Shao, Bin Tong, Einoshin Suzuki |
| 2011 | SDM | ACE: Anomaly Clustering Ensemble for Multi-perspective Anomaly Detection in Robot Behaviors. | Shin Ando, Einoshin Suzuki, Yoichi Seki, Theerasak Thanongphongphan, Daisuke Hoshino |
| 2011 | SDM | Feature-based Inductive Transfer Learning through Minimum Encoding. | Hao Shao, Einoshin Suzuki |
| 2011 | SDM | Gaussian Process for Dimensionality Reduction in Transfer Learning. | Bin Tong, Junbin Gao, Thach Huy Nguyen, Einoshin Suzuki |
| 2010 | DaWaK | Discovering Community-Oriented Roles of Nodes in a Social Network. | Bin-Hui Chou, Einoshin Suzuki |
| 2010 | DIS | Topology Preserving SOM with Transductive Confidence Machine. | Bin Tong, Zhiguang Qin, Einoshin Suzuki |
| 2010 | PAKDD | Subclass-Oriented Dimension Reduction with Constraint Transformation and Manifold Regularization. | Bin Tong, Einoshin Suzuki |
| 2009 | DIS | Finding the | JianBin Wang, Bin-Hui Chou, Einoshin Suzuki |
| 2009 | KDD | Detection of unique temporal segments by information theoretic meta-clustering. | Shin Ando, Einoshin Suzuki |
| 2009 | PAKDD | Negative Encoding Length as a Subjective Interestingness Measure for Groups of Rules. | Einoshin Suzuki |
| 2009 | PAKDD | Discovering Action Rules That Are Highly Achievable from Massive Data. | Einoshin Suzuki |
| 2008 | ICDM | Unsupervised Cross-Domain Learning by Interaction Information Co-clustering. | Shin Ando, Einoshin Suzuki |
| 2006 | CEC | Distributed Multi-objective GA for Generating Comprehensive Pareto Front in Deceptive Optimization Problems. | Shin Ando, Einoshin Suzuki |
| 2006 | DIS | Strategy Diagram for Identifying Play Strategies in Multi-view Soccer Video Data. | Yukihiro Nakamura, Shin Ando, Kenji Aoki, Hiroyuki Mano, Einoshin Suzuki |
| 2006 | GRC | DPITT: Multi-viewpoint Visualization System for Detecting Peculiar WWW Pages Rapidly. | Masayuki Hirose, Einoshin Suzuki |
| 2006 | ICDM | An Information Theoretic Approach to Detection of Minority Subsets in Database. | Shin Ando, Einoshin Suzuki |
| 2006 | ISMIS | Visualizing Transactional Data with Multiple Clusterings for Knowledge Discovery. | Nicolas Durand, Bruno Crmilleux, Einoshin Suzuki |
| 2005 | CEC | Sample based crowding method for multimodal optimization in continuous domain. | Shin Ando, Einoshin Suzuki, Shigenobu Kobayashi |
| 2005 | GRC | Mini-Car-Soccer as a testbed for granular computing. | Masanori Yoshinaga, Yukihiro Nakamura, Einoshin Suzuki |
| 2005 | ISMIS | Towards Ad-Hoc Rule Semantics for Gene Expression Data. | Marie Agier, Jean-Marc Petit, Einoshin Suzuki |
| 2005 | ISMIS | Multi-strategy Instance Selection in Mining Chronic Hepatitis Data. | Masatoshi Jumi, Einoshin Suzuki, Muneaki Ohshima, Ning Zhong, Hideto Yokoi, Katsuhiko Takabayashi |
| 2004 | DIS | Using WWW-Distribution of Words in Detecting Peculiar Web Pages. | Masayuki Hirose, Einoshin Suzuki |
| 2004 | ILP | An Efficient Algorithm for Reducing Clauses Based on Constraint Satisfaction Techniques. | Jrme Maloberti, Einoshin Suzuki |
| 2003 | DIS | Improving Efficiency of Frequent Query Discovery by Eliminating Non-relevant Candidates. | Jrme Maloberti, Einoshin Suzuki |
| 2003 | ICDM | Detecting Interesting Exceptions from Medical Test Data with Visual Summarization. | Einoshin Suzuki, Takeshi Watanabe, Hideto Yokoi, Katsuhiko Takabayashi |
| 2003 | ICML | Decision-tree Induction from Time-series Data Based on a Standard-example Split Test. | Yuu Yamada, Einoshin Suzuki, Hideto Yokoi, Katsuhiko Takabayashi |
| 2002 | DIS | Subspace Clustering Based on Compressibility. | Masaki Narahashi, Einoshin Suzuki |
| 2002 | ICML | Finding an Optimal Gain-Ratio Subset-Split Test for a Set-Valued Attribute in Decision Tree Induction. | Fumio Takechi, Einoshin Suzuki |
| 2002 | ISMIS | Data Squashing for Speeding Up Boosting-Based Outlier Detection. | Shutaro Inatani, Einoshin Suzuki |
| 2001 | DIS | Worst-Case Analysis of Rule Discovery. | Einoshin Suzuki |
| 2000 | DIS | Issues in Organizing a Successful Knowledge Discovery Contest. | Einoshin Suzuki |
| 2000 | PAKDD | Exception Rule Mining with a Relative Interestingness Measure. | Farhad Hussain, Huan Liu, Einoshin Suzuki, Hongjun Lu |
| 2000 | PAKDD | Evaluating Hypothesis-Driven Exception-Rule Discovery with Medical Data Sets. | Einoshin Suzuki, Shusaku Tsumoto |
| 1999 | DIS | Normal Form Transformation for Object Recognition Based on Support Vector Machines. | Shinsuke Sugaya, Einoshin Suzuki |
| 1999 | DIS | Scheduled Discovery of Exception Rules. | Einoshin Suzuki |
| 1999 | PAKDD | Prediction Rule Discovery Based on Dynamic Bias Selection. | Einoshin Suzuki, Toru Ohno |
| 1998 | KDD | Simultaneous Reliability Evaluation of Generality and Accuracy for Rule Discovery in Databases. | Einoshin Suzuki |
| 1997 | KDD | Autonomous Discovery of Reliable Exception Rules. | Einoshin Suzuki |
| 1996 | KDD | Exceptional Knowledge Discovery in Databases Based on Information Theory. | Einoshin Suzuki, Masamichi Shimura |
| 1994 | ICDE | Knowledge-Based Handling of Design Expertise. | Pierre Morizet-Mahoudeaux, Einoshin Suzuki, Setsuo Ohsuga |