Logic-based approach to expert systems in chemistry. - Tatsuya Akutsu; Einoshin Suzuki; Setsuo Ohsuga (Knowl. Based Syst., 1991)

Knowledge-based system for computer-aided drug design. - Einoshin Suzuki; Tatsuya Akutsu; Setsuo Ohsuga (Knowl. Based Syst., 1993)

Knowledge-Based Handling of Design Expertise. - Pierre Morizet-Mahoudeaux; Einoshin Suzuki; Setsuo Ohsuga (ICDE, 1994)

Exceptional Knowledge Discovery in Databases Based on Information Theory. - Einoshin Suzuki; Masamichi Shimura (KDD, 1996)

Autonomous Discovery of Reliable Exception Rules. - Einoshin Suzuki (KDD, 1997)

Simultaneous Reliability Evaluation of Generality and Accuracy for Rule Discovery in Databases. - Einoshin Suzuki (KDD, 1998)

Discovery of Surprising Exception Rules Based on Intensity of Implication. - Einoshin Suzuki; Yves Kodratoff (PKDD, 1998)

Normal Form Transformation for Object Recognition Based on Support Vector Machines. - Shinsuke Sugaya; Einoshin Suzuki (Discovery Science, 1999)

Scheduled Discovery of Exception Rules. - Einoshin Suzuki (Discovery Science, 1999)

Prediction Rule Discovery Based on Dynamic Bias Selection. - Einoshin Suzuki; Toru Ohno (PAKDD, 1999)

Support Vector Machines for Knowledge Discovery. - Shinsuke Sugaya; Einoshin Suzuki; Shusaku Tsumoto (PKDD, 1999)

Visualizing Discovered Rule Sets with Visual Graphs Based on Compressed Entropy Density. - Einoshin Suzuki; Hiroki Ishihara (RSFDGrC, 1999)

Issues in Organizing a Successful Knowledge Discovery Contest. - Einoshin Suzuki (Discovery Science, 2000)

Exception Rule Mining with a Relative Interestingness Measure. - Farhad Hussain; Huan Liu 001; Einoshin Suzuki; Hongjun Lu (PAKDD, 2000)

Evaluating Hypothesis-Driven Exception-Rule Discovery with Medical Data Sets. - Einoshin Suzuki; Shusaku Tsumoto (PAKDD, 2000)

Unified Algorithm for Undirected Discovery of Execption Rules. - Einoshin Suzuki; Jan M. Zytkow (PKDD, 2000)

Research Topics Discovery from WWW by Keywords Association Rules. - David Ramamonjisoa; Einoshin Suzuki; Issam A. Hamid (Rough Sets and Current Trends in Computing, 2000)

Worst-Case Analysis of Rule Discovery. - Einoshin Suzuki (Discovery Science, 2001)

Bloomy Decision Tree for Multi-objective Classification. - Einoshin Suzuki; Masafumi Gotoh; Yuta Choki (PKDD, 2001)

Subspace Clustering Based on Compressibility. - Masaki Narahashi; Einoshin Suzuki (Discovery Science, 2002)

In Pursuit of Interesting Patterns with Undirected Discovery of Exception Rules. - Einoshin Suzuki (Progress in Discovery Science, 2002)

Toward knowledge-driven spiral discovery of exception rules. - Yuu Yamada; Einoshin Suzuki (FUZZ-IEEE, 2002)

Finding an Optimal Gain-Ratio Subset-Split Test for a Set-Valued Attribute in Decision Tree Induction. - Fumio Takechi; Einoshin Suzuki (ICML, 2002)

Data Squashing for Speeding Up Boosting-Based Outlier Detection. - Shutaro Inatani; Einoshin Suzuki (ISMIS, 2002)

Iterative Data Squashing for Boosting Based on a Distribution-Sensitive Distance. - Yuta Choki; Einoshin Suzuki (PKDD, 2002)

Undirected Discovery of Interesting Exception Rules. - Einoshin Suzuki (Int. J. Pattern Recognit. Artif. Intell., 2002)

Experimental Evaluation of Time-Series Decision Tree. - Yuu Yamada; Einoshin Suzuki; Hideto Yokoi; Katsuhiko Takabayashi (Active Mining, 2003)

Improving Efficiency of Frequent Query Discovery by Eliminating Non-relevant Candidates. - Jérôme Maloberti; Einoshin Suzuki (Discovery Science, 2003)

Detecting Interesting Exceptions from Medical Test Data with Visual Summarization. - Einoshin Suzuki; Takeshi Watanabe; Hideto Yokoi; Katsuhiko Takabayashi (ICDM, 2003)

Decision-tree Induction from Time-series Data Based on a Standard-example Split Test. - Yuu Yamada; Einoshin Suzuki; Hideto Yokoi; Katsuhiko Takabayashi (ICML, 2003)

Detecting Hostile Accesses through Incremental Subspace Clustering. - Masaki Narahashi; Einoshin Suzuki (Web Intelligence, 2003)

Undirected Exception Rule Discovery as Local Pattern Detection. - Einoshin Suzuki (Local Pattern Detection, 2004)

Using WWW-Distribution of Words in Detecting Peculiar Web Pages. - Masayuki Hirose; Einoshin Suzuki (Discovery Science, 2004)

An Efficient Algorithm for Reducing Clauses Based on Constraint Satisfaction Techniques. - Jérôme Maloberti; Einoshin Suzuki (ILP, 2004)

Spiral Discovery of a Separate Prediction Model from Chronic Hepatitis Data. - Masatoshi Jumi; Einoshin Suzuki; Muneaki Ohshima; Ning Zhong 001; Hideto Yokoi; Katsuhiko Takabayashi (JSAI Workshops, 2004)

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

Mini-Car-Soccer as a testbed for granular computing. - Masanori Yoshinaga; Yukihiro Nakamura; Einoshin Suzuki (GrC, 2005)

Towards Ad-Hoc Rule Semantics for Gene Expression Data. - Marie Agier; Jean-Marc Petit; Einoshin Suzuki (ISMIS, 2005)

Multi-strategy Instance Selection in Mining Chronic Hepatitis Data. - Masatoshi Jumi; Einoshin Suzuki; Muneaki Ohshima; Ning Zhong 001; Hideto Yokoi; Katsuhiko Takabayashi (ISMIS, 2005)

Worst Case and a Distribution-Based Case Analyses of Sampling for Rule Discovery Based on Generality and Accuracy. - Einoshin Suzuki (Appl. Intell., 2005)

Unified algorithm for undirected discovery of exception rules. - Einoshin Suzuki; Jan M. Zytkow (Int. J. Intell. Syst., 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)

DPITT: Multi-viewpoint Visualization System for Detecting Peculiar WWW Pages Rapidly. - Masayuki Hirose; Einoshin Suzuki (GrC, 2006)

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

Visualizing Transactional Data with Multiple Clusterings for Knowledge Discovery. - Nicolas Durand 001; Bruno Crémilleux; Einoshin Suzuki (ISMIS, 2006)

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

Data Mining Methods for Discovering Interesting Exceptions from an Unsupervised Table. - Einoshin Suzuki (J. Univers. Comput. Sci., 2006)

Une règle d'exception en Analyse Statistique Implicative. - Régis Gras; Pascale Kuntz; Einoshin Suzuki (EGC, 2007)

Peut-on Capturer la Sémantique à Travers la Syntaxe ? - Découverte des Règles d'Exception Simultanée. - Einoshin Suzuki (EGC, 2007)

Unifying Framework for Rule Semantics: Application to Gene Expression Data. - Marie Agier; Jean-Marc Petit; Einoshin Suzuki (Fundam. Informaticae, 2007)

Spiral Removal of Exceptional Patients for Mining Chronic Hepatitis Data. - Masatoshi Jumi; Muneaki Ohshima; Ning Zhong 001; Hideto Yokoi; Katsuhiko Takabayashi; Einoshin Suzuki (New Gener. Comput., 2007)

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

Pitfalls for Categorizations of Objective Interestingness Measures for Rule Discovery. - Einoshin Suzuki (Statistical Implicative Analysis, 2008)

Finding the k-Most Abnormal Subgraphs from a Single Graph. - JianBin Wang; Bin-Hui Chou; Einoshin Suzuki (Discovery Science, 2009)

Simulating Swarm Robots for Collision Avoidance Problem Based on a Dynamic Bayesian Network. - Hiroshi Hirai 002; Shigeru Takano; Einoshin Suzuki (ECAL (2), 2009)

Compression-Based Measures for Mining Interesting Rules. - Einoshin Suzuki (IEA/AIE, 2009)

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

Negative Encoding Length as a Subjective Interestingness Measure for Groups of Rules. - Einoshin Suzuki (PAKDD, 2009)

Discovering Action Rules That Are Highly Achievable from Massive Data. - Einoshin Suzuki (PAKDD, 2009)

Mining Peculiar Compositions of Frequent Substrings from Sparse Text Data Using Background Texts. - Daisuke Ikeda; Einoshin Suzuki (ECML/PKDD (1), 2009)

Constructing Low-Cost Swarm Robots That March in Column Formation. - Asuki Kouno; Shigeru Takano; Einoshin Suzuki (ANTS Conference, 2010)

Discovering Community-Oriented Roles of Nodes in a Social Network. - Bin-Hui Chou; Einoshin Suzuki (DaWak, 2010)

Topology Preserving SOM with Transductive Confidence Machine. - Bin Tong; Zhiguang Qin; Einoshin Suzuki (Discovery Science, 2010)

Understanding the Behaviour of Reactive Robots in a Patrol Task by Analysing Their Trajectories. - Swagat Kumar; Thach Huy Nguyen; Einoshin Suzuki (IAT, 2010)

Subclass-Oriented Dimension Reduction with Constraint Transformation and Manifold Regularization. - Bin Tong; Einoshin Suzuki (PAKDD (2), 2010)

Semi-supervised Projection Clustering with Transferred Centroid Regularization. - Bin Tong; Hao Shao; Bin-Hui Chou; Einoshin Suzuki (ECML/PKDD (3), 2010)

Best papers from the 12th Pacific-Asia conference on knowledge discovery and data mining (PAKDD2008). - Takashi Washio; Einoshin Suzuki; Kai Ming Ting (Knowl. Inf. Syst., 2010)

Role Discovery for Graph Clustering. - Bin-Hui Chou; Einoshin Suzuki (APWeb, 2011)

A Parameter-Free Method for Discovering Generalized Clusters in a Network. - Hiroshi Hirai 002; Bin-Hui Chou; Einoshin Suzuki (Discovery Science, 2011)

On-Board Evolutionary Algorithm and Off-Line Rule Discovery for Column Formation in Swarm Robotics. - Asuki Kouno; Jean-Marc Montanier; Shigeru Takano; Nicolas Bredèche; Marc Schoenauer; Michèle Sebag; Einoshin Suzuki (IAT, 2011)

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

Implementing Camshift on a Mobile Robot for Person Tracking and Pursuit. - Somar Boubou; Asuki Kouno; Einoshin Suzuki (ICDM Workshops, 2011)

New Object Detection for On-board Robot Vision by Lifting Complex Wavelet Transforms. - Shigeru Takano; Einoshin Suzuki (ICDM Workshops, 2011)

Using SVM to Avoid Humans: A Case of a Small Autonomous Mobile Robot in an Office. - Emi Matsumoto; Michèle Sebag; Einoshin Suzuki (ISCIS, 2011)

A Compression-Based Dissimilarity Measure for Multi-task Clustering. - Thach Huy Nguyen; Hao Shao; Bin Tong; Einoshin Suzuki (ISMIS, 2011)

Compact Coding for Hyperplane Classifiers in Heterogeneous Environment. - Hao Shao; Bin Tong; Einoshin Suzuki (ECML/PKDD (3), 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)

Feature-based Inductive Transfer Learning through Minimum Encoding. - Hao Shao; Einoshin Suzuki (SDM, 2011)

Gaussian Process for Dimensionality Reduction in Transfer Learning. - Bin Tong; Junbin Gao; Thach Huy Nguyen; Einoshin Suzuki (SDM, 2011)

Query by Committee in a Heterogeneous Environment. - Hao Shao; Bin Tong; Einoshin Suzuki (ADMA, 2012)

Data Squashing for HSV Subimages by an Autonomous Mobile Robot. - Einoshin Suzuki; Emi Matsumoto; Asuki Kouno (Discovery Science, 2012)

Human Detection by a Small Autonomous Mobile Robot. - Kouhei Takemoto; Shigeru Takano; Einoshin Suzuki (EGC, 2012)

Predicting the State of a Person by an Office-Use Autonomous Mobile Robot. - Asuki Kouno; Daisuke Takayama; Einoshin Suzuki (IAT, 2012)

Intelligent Data Analysis by a Home-Use Human Monitoring Robot. - Shinsuke Sugaya; Daisuke Takayama; Asuki Kouno; Einoshin Suzuki (IDA, 2012)

Linear Semi-Supervised Dimensionality Reduction with Pairwise Constraint for Multiple Subclasses. - Bin Tong; Weifeng Jia; Yanli Ji; Einoshin Suzuki (IEICE Trans. Inf. Syst., 2012)

Linear semi-supervised projection clustering by transferred centroid regularization. - Bin Tong; Hao Shao; Bin-Hui Chou; Einoshin Suzuki (J. Intell. Inf. Syst., 2012)

Fast Adaptive Object Detection towards a Smart Environment by a Mobile Robot. - Shigeru Takano; Ilya Loshchilov; David Meunier; Michèle Sebag; Einoshin Suzuki (AmI, 2013)

Detecting Academic Plagiarism with Graphs. - Bin-Hui Chou; Einoshin Suzuki (EGC, 2013)

Towards Facilitating the Development of Monitoring Systems with Low-Cost Autonomous Mobile Robots. - Einoshin Suzuki; Yutaka Deguchi; Daisuke Takayama; Shigeru Takano; Vasile-Marian Scuturici; Jean-Marc Petit (ISIP, 2013)

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

Special Issue on Discovery Science: Guest Editor's Introduction. - Einoshin Suzuki (Comput. J., 2013)

Transfer learning by centroid pivoted mapping in noisy environment. - Thach Huy Nguyen; Bin Tong; Hao Shao; Einoshin Suzuki (J. Intell. Inf. Syst., 2013)

A feature-free and parameter-light multi-task clustering framework. - Thach Huy Nguyen; Hao Shao; Bin Tong; Einoshin Suzuki (Knowl. Inf. Syst., 2013)

Extended MDL principle for feature-based inductive transfer learning. - Hao Shao; Bin Tong; Einoshin Suzuki (Knowl. Inf. Syst., 2013)

RoClust: Role discovery for graph clustering. - Bin-Hui Chou; Einoshin Suzuki (Web Intell. Agent Syst., 2013)

Developing a Face Monitoring Robot for a Desk Worker. - Ryosuke Kondo; Yutaka Deguchi; Einoshin Suzuki (AmI, 2014)

Multi-view Onboard Clustering of Skeleton Data for Fall Risk Discovery. - Daisuke Takayama; Yutaka Deguchi; Shigeru Takano; Vasile-Marian Scuturici; Jean-Marc Petit; Einoshin Suzuki (AmI, 2014)

Facial Expression Data Constructed with Kinect and Their Clustering Stability. - Angdy Erna; Linli Yu; Kaikai Zhao; Wei Chen; Einoshin Suzuki (AMT, 2014)

Probabilistic Two-Level Anomaly Detection for Correlated Systems. - Bin Tong; Tetsuro Morimura; Einoshin Suzuki; Tsuyoshi Idé (ECAI, 2014)

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

Skeleton Clustering by Autonomous Mobile Robots for Subtle Fall Risk Discovery. - Yutaka Deguchi; Einoshin Suzuki (ISMIS, 2014)

Multiple-robot monitoring system based on a service-oriented DBMS. - Yutaka Deguchi; Daisuke Takayama; Shigeru Takano; Vasile-Marian Scuturici; Jean-Marc Petit; Einoshin Suzuki (PETRA, 2014)

Finding peculiar compositions of two frequent strings with background texts. - Daisuke Ikeda; Einoshin Suzuki (Knowl. Inf. Syst., 2014)

Transfer dimensionality reduction by Gaussian process in parallel. - Bin Tong; Junbin Gao; Thach Huy Nguyen; Hao Shao; Einoshin Suzuki (Knowl. Inf. Syst., 2014)

Continuous Query Processing Over Data, Streams and Services: Application to Robotics. - Vasile-Marian Scuturici; Yann Gripay; Jean-Marc Petit; Yutaka Deguchi; Einoshin Suzuki (ADBIS (Short Papers and Workshops), 2015)

Hidden Fatigue Detection for a Desk Worker Using Clustering of Successive Tasks. - Yutaka Deguchi; Einoshin Suzuki (AmI, 2015)

Visual impression localization of autonomous robots. - Somar Boubou; A. H. Abdul Hafez; Einoshin Suzuki (CASE, 2015)

On the Feasibility of Discovering Meta-Patterns from a Data Ensemble. - Einoshin Suzuki (Discovery Science, 2015)

Clustering Classifiers Learnt from Local Datasets Based on Cosine Similarity. - Kaikai Zhao; Einoshin Suzuki (ISMIS, 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)

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

Classifying actions based on histogram of oriented velocity vectors. - Somar Boubou; Einoshin Suzuki (J. Intell. Inf. Syst., 2015)

Hierarchical Gaussian Descriptor for Person Re-identification. - Tetsu Matsukawa; Takahiro Okabe; Einoshin Suzuki; Yoichi Sato 001 (CVPR, 2016)

Person re-identification using CNN features learned from combination of attributes. - Tetsu Matsukawa; Einoshin Suzuki (ICPR, 2016)

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

Skeleton clustering by multi-robot monitoring for fall risk discovery. - Yutaka Deguchi; Daisuke Takayama; Shigeru Takano; Vasile-Marian Scuturici; Jean-Marc Petit; Einoshin Suzuki (J. Intell. Inf. Syst., 2017)

Exploiting Micro-Clusters to Close The Loop in Data-Mining Robots for Human Monitoring. - Einoshin Suzuki (AAAI Spring Symposia, 2018)

Retraining: A Simple Way to Improve the Ensemble Accuracy of Deep Neural Networks for Image Classification. - Kaikai Zhao; Tetsu Matsukawa; Einoshin Suzuki (ICPR, 2018)

Multimodal Deep Neural Network with Image Sequence Features for Video Captioning. - Soichiro Oura; Tetsu Matsukawa; Einoshin Suzuki (IJCNN, 2018)

One-class Selective Transfer Machine for Personalized Anomalous Facial Expression Detection. - Hirofumi Fujita; Tetsu Matsukawa; Einoshin Suzuki (VISIGRAPP (5: VISAPP), 2018)

Harnessing GAN with Metric Learning for One-Shot Generation on a Fine-Grained Category. - Yusuke Ohtsubo; Tetsu Matsukawa; Einoshin Suzuki (ICTAI, 2019)

Kernelized Cross-view Quadratic Discriminant Analysis for Person Re-Identification. - Tetsu Matsukawa; Einoshin Suzuki (MVA, 2019)

Experimental validation for N-ary error correcting output codes for ensemble learning of deep neural networks. - Kaikai Zhao; Tetsu Matsukawa; Einoshin Suzuki (J. Intell. Inf. Syst., 2019)

Hybrid Context-Aware Word Sense Disambiguation in Topic Modeling based Document Representation. - Wenbo Li 011; Einoshin Suzuki (ICDM, 2020)

Convolutional Feature Transfer via Camera-Specific Discriminative Pooling for Person Re-Identification. - Tetsu Matsukawa; Einoshin Suzuki (ICPR, 2020)

From Certain to Uncertain: Toward Optimal Solution for Offline Multiple Object Tracking. - Kaikai Zhao; Takashi Imaseki; Hiroshi Mouri; Einoshin Suzuki; Tetsu Matsukawa (ICPR, 2020)

Experimental Evaluation of GAN-Based One-Class Anomaly Detection on Office Monitoring. - Ning Dong 001; Yusuke Hatae; Muhammad Fikko Fadjrimiratno; Tetsu Matsukawa; Einoshin Suzuki (ISMIS, 2020)

Context-Aware Latent Dirichlet Allocation for Topic Segmentation. - Wenbo Li 011; Tetsu Matsukawa; Hiroto Saigo; Einoshin Suzuki (PAKDD (1), 2020)

Detecting Anomalous Regions from an Image based on Deep Captioning. - Yusuke Hatae; Qingpu Yang; Muhammad Fikko Fadjrimiratno; Yuanyuan Li; Tetsu Matsukawa; Einoshin Suzuki (VISIGRAPP (5: VISAPP), 2020)

Detecting outliers with one-class selective transfer machine. - Hirofumi Fujita; Tetsu Matsukawa; Einoshin Suzuki (Knowl. Inf. Syst., 2020)

Hierarchical Gaussian Descriptors with Application to Person Re-Identification. - Tetsu Matsukawa; Takahiro Okabe; Einoshin Suzuki; Yoichi Sato 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Context-Based Anomaly Detection via Spatial Attributed Graphs in Human Monitoring. - Kang Zhang; Muhammad Fikko Fadjrimiratno; Einoshin Suzuki (ICONIP (1), 2021)

Contrastive Goal Grouping for Policy Generalization in Goal-Conditioned Reinforcement Learning. - Qiming Zou; Einoshin Suzuki (ICONIP (1), 2021)

GIAD: Generative Inpainting-Based Anomaly Detection via Self-Supervised Learning for Human Monitoring. - Ning Dong 001; Einoshin Suzuki (PRICAI (2), 2021)

Detecting Anomalies from Human Activities by an Autonomous Mobile Robot based on "Fast and Slow" Thinking. - Muhammad Fikko Fadjrimiratno; Yusuke Hatae; Tetsu Matsukawa; Einoshin Suzuki (VISIGRAPP (5: VISAPP), 2021)

Sparse Nonnegative Interaction Models. - Mirai Takayanagi; Yasuo Tabei; Einoshin Suzuki; Hiroto Saigo (IEEE Access, 2021)

Semi-Supervised Few-Shot Classification with Deep Invertible Hybrid Models. - Yusuke Ohtsubo; Tetsu Matsukawa; Einoshin Suzuki (CoRR, 2021)

Adaptive and hybrid context-aware fine-grained word sense disambiguation in topic modeling based document representation. - Wenbo Li 011; Einoshin Suzuki (Inf. Process. Manag., 2021)

Topic modeling for sequential documents based on hybrid inter-document topic dependency. - Wenbo Li 011; Hiroto Saigo; Bin Tong; Einoshin Suzuki (J. Intell. Inf. Syst., 2021)

Judging Instinct Exploitation in Statistical Data Explanations Based on Word Embedding. - Kang Zhang; Hiroaki Shinden; Tatsuki Mutsuro; Einoshin Suzuki (AIES, 2022)

Detecting Video Anomalous Events with an Enhanced Abnormality Score. - Liheng Shen; Tetsu Matsukawa; Einoshin Suzuki (PRICAI (1), 2022)

GIAD-ST: Detecting anomalies in human monitoring based on generative inpainting via self-supervised multi-task learning. - Ning Dong 001; Einoshin Suzuki (J. Intell. Inf. Syst., 2022)

Cross-Modal Self-Supervised Feature Extraction for Anomaly Detection in Human Monitoring. - Jose Alejandro Avellaneda Gonzalez; Tetsu Matsukawa; Einoshin Suzuki (CASE, 2023)

Class-Specific Word Sense Aware Topic Modeling via Soft Orthogonalized Topics. - Wenbo Li 011; Yao Yang; Einoshin Suzuki (CIKM, 2023)

Sample-Efficient Goal-Conditioned Reinforcement Learning via Predictive Information Bottleneck for Goal Representation Learning. - Qiming Zou; Einoshin Suzuki (ICRA, 2023)

Judging Credible and Unethical Statistical Data Explanations via Phrase Similarity Graph. - Kang Zhang; Einoshin Suzuki (PACIS, 2023)

Image Generation from a Hyper Scene Graph with Trinomial Hyperedges. - Ryosuke Miyake; Tetsu Matsukawa; Einoshin Suzuki (VISIGRAPP (5: VISAPP), 2023)

Region Anomaly Detection via Spatial and Semantic Attributed Graph in Human Monitoring. - Kang Zhang; Muhammad Fikko Fadjrimiratno; Einoshin Suzuki (Sensors, 2023)

A Robust Person Shape Representation via Grassmann Channel Pooling. - Tetsu Matsukawa; Einoshin Suzuki (ICPR (8), 2024)

SATJiP: Spatial and Augmented Temporal Jigsaw Puzzles for Video Anomaly Detection. - Liheng Shen; Tetsu Matsukawa; Einoshin Suzuki (PAKDD (1), 2024)

Image Generation from Hyper Scene Graphs with Trinomial Hyperedges Using Object Attention. - Ryosuke Miyake; Tetsu Matsukawa; Einoshin Suzuki (VISIGRAPP (2): VISAPP, 2024)

Image Generation from Hyper Scene Graph with Multiple Types of Trinomial Hyperedges. - Ryosuke Miyake; Tetsu Matsukawa; Einoshin Suzuki (SN Comput. Sci., 2024)

Leveraging Vision Language Models for Understanding and Detecting Violence in Videos. - Jose Alejandro Avellaneda Gonzalez; Tetsu Matsukawa; Einoshin Suzuki (VISIGRAPP (2): VISAPP, 2025)

Compact Goal Representation Learning via Information Bottleneck in Goal-Conditioned Reinforcement Learning. - Qiming Zou; Einoshin Suzuki (IEEE Trans. Neural Networks Learn. Syst., 2025)

Detecting anomalies in human monitoring based on multimodal multiview self-supervised learning. - Jose Alejandro Avellaneda Gonzalez; Tetsu Matsukawa; Einoshin Suzuki (Mach. Vis. Appl., 2025)