Einoshin Suzuki

ORCID

Publication Activity (10 Years)

Years Active: 1991-2024
Publications (10 Years): 40

Top Venues

J. Intell. Inf. Syst.

Knowl. Inf. Syst.

ICPR

VISIGRAPP (5: VISAPP)

Publications

Ryosuke Miyake, Tetsu Matsukawa, Einoshin Suzuki
Image Generation from Hyper Scene Graph with Multiple Types of Trinomial Hyperedges. SN Comput. Sci. 5 (5) (2024)
Ryosuke Miyake, Tetsu Matsukawa, Einoshin Suzuki
Image Generation from Hyper Scene Graphs with Trinomial Hyperedges Using Object Attention. VISIGRAPP (2): VISAPP (2024)
Liheng Shen, Tetsu Matsukawa, Einoshin Suzuki
SATJiP: Spatial and Augmented Temporal Jigsaw Puzzles for Video Anomaly Detection. PAKDD (1) (2024)
Jose Alejandro Avellaneda, Tetsu Matsukawa, Einoshin Suzuki
Cross-Modal Self-Supervised Feature Extraction for Anomaly Detection in Human Monitoring. CASE (2023)
Qiming Zou, Einoshin Suzuki
Sample-Efficient Goal-Conditioned Reinforcement Learning via Predictive Information Bottleneck for Goal Representation Learning. ICRA (2023)
Kang Zhang, Muhammad Fikko Fadjrimiratno, Einoshin Suzuki
Region Anomaly Detection via Spatial and Semantic Attributed Graph in Human Monitoring. Sensors 23 (3) (2023)
Kang Zhang, Einoshin Suzuki
Judging Credible and Unethical Statistical Data Explanations via Phrase Similarity Graph. PACIS (2023)
Wenbo Li, Yao Yang, Einoshin Suzuki
Class-Specific Word Sense Aware Topic Modeling via Soft Orthogonalized Topics. CIKM (2023)
Ryosuke Miyake, Tetsu Matsukawa, Einoshin Suzuki
Image Generation from a Hyper Scene Graph with Trinomial Hyperedges. VISIGRAPP (5: VISAPP) (2023)
Liheng Shen, Tetsu Matsukawa, Einoshin Suzuki
Detecting Video Anomalous Events with an Enhanced Abnormality Score. PRICAI (1) (2022)
Kang Zhang, Hiroaki Shinden, Tatsuki Mutsuro, Einoshin Suzuki
Judging Instinct Exploitation in Statistical Data Explanations Based on Word Embedding. AIES (2022)
Ning Dong, Einoshin Suzuki
GIAD-ST: Detecting anomalies in human monitoring based on generative inpainting via self-supervised multi-task learning. J. Intell. Inf. Syst. 59 (3) (2022)
Yusuke Ohtsubo, Tetsu Matsukawa, Einoshin Suzuki
Semi-Supervised Few-Shot Classification with Deep Invertible Hybrid Models. CoRR (2021)
Kang Zhang, Muhammad Fikko Fadjrimiratno, Einoshin Suzuki
Context-Based Anomaly Detection via Spatial Attributed Graphs in Human Monitoring. ICONIP (1) (2021)
Wenbo Li, Einoshin Suzuki
Adaptive and hybrid context-aware fine-grained word sense disambiguation in topic modeling based document representation. Inf. Process. Manag. 58 (4) (2021)
Qiming Zou, Einoshin Suzuki
Contrastive Goal Grouping for Policy Generalization in Goal-Conditioned Reinforcement Learning. ICONIP (1) (2021)
Ning Dong, Einoshin Suzuki
GIAD: Generative Inpainting-Based Anomaly Detection via Self-Supervised Learning for Human Monitoring. PRICAI (2) (2021)
Muhammad Fikko Fadjrimiratno, Yusuke Hatae, Tetsu Matsukawa, Einoshin Suzuki
Detecting Anomalies from Human Activities by an Autonomous Mobile Robot based on "Fast and Slow" Thinking. VISIGRAPP (5: VISAPP) (2021)
Wenbo Li, Hiroto Saigo, Bin Tong, Einoshin Suzuki
Topic modeling for sequential documents based on hybrid inter-document topic dependency. J. Intell. Inf. Syst. 56 (3) (2021)
Mirai Takayanagi, Yasuo Tabei, Einoshin Suzuki, Hiroto Saigo
Sparse Nonnegative Interaction Models. IEEE Access 9 (2021)
Wenbo Li, Tetsu Matsukawa, Hiroto Saigo, Einoshin Suzuki
Context-Aware Latent Dirichlet Allocation for Topic Segmentation. PAKDD (1) (2020)
Ning Dong, Yusuke Hatae, Muhammad Fikko Fadjrimiratno, Tetsu Matsukawa, Einoshin Suzuki
Experimental Evaluation of GAN-Based One-Class Anomaly Detection on Office Monitoring. ISMIS (2020)
Kaikai Zhao, Takashi Imaseki, Hiroshi Mouri, Einoshin Suzuki, Tetsu Matsukawa
From Certain to Uncertain: Toward Optimal Solution for Offline Multiple Object Tracking. ICPR (2020)
Yusuke Hatae, Qingpu Yang, Muhammad Fikko Fadjrimiratno, Yuanyuan Li, Tetsu Matsukawa, Einoshin Suzuki
Detecting Anomalous Regions from an Image based on Deep Captioning. VISIGRAPP (5: VISAPP) (2020)
Tetsu Matsukawa, Takahiro Okabe, Einoshin Suzuki, Yoichi Sato
Hierarchical Gaussian Descriptors with Application to Person Re-Identification. IEEE Trans. Pattern Anal. Mach. Intell. 42 (9) (2020)
Hirofumi Fujita, Tetsu Matsukawa, Einoshin Suzuki
Detecting outliers with one-class selective transfer machine. Knowl. Inf. Syst. 62 (5) (2020)
Tetsu Matsukawa, Einoshin Suzuki
Convolutional Feature Transfer via Camera-Specific Discriminative Pooling for Person Re-Identification. ICPR (2020)
Wenbo Li, Einoshin Suzuki
Hybrid Context-Aware Word Sense Disambiguation in Topic Modeling based Document Representation. ICDM (2020)
Tetsu Matsukawa, Einoshin Suzuki
Kernelized Cross-view Quadratic Discriminant Analysis for Person Re-Identification. MVA (2019)
Yusuke Ohtsubo, Tetsu Matsukawa, Einoshin Suzuki
Harnessing GAN with Metric Learning for One-Shot Generation on a Fine-Grained Category. ICTAI (2019)
Kaikai Zhao, Tetsu Matsukawa, Einoshin Suzuki
Experimental validation for N-ary error correcting output codes for ensemble learning of deep neural networks. J. Intell. Inf. Syst. 52 (2) (2019)
Soichiro Oura, Tetsu Matsukawa, Einoshin Suzuki
Multimodal Deep Neural Network with Image Sequence Features for Video Captioning. IJCNN (2018)
Hirofumi Fujita, Tetsu Matsukawa, Einoshin Suzuki
One-class Selective Transfer Machine for Personalized Anomalous Facial Expression Detection. VISIGRAPP (5: VISAPP) (2018)
Einoshin Suzuki
Exploiting Micro-Clusters to Close The Loop in Data-Mining Robots for Human Monitoring. AAAI Spring Symposia (2018)
Kaikai Zhao, Tetsu Matsukawa, Einoshin Suzuki
Retraining: A Simple Way to Improve the Ensemble Accuracy of Deep Neural Networks for Image Classification. ICPR (2018)
Yutaka Deguchi, Daisuke Takayama, Shigeru Takano, Vasile-Marian Scuturici, Jean-Marc Petit, Einoshin Suzuki
Skeleton clustering by multi-robot monitoring for fall risk discovery. J. Intell. Inf. Syst. 48 (1) (2017)
Tetsu Matsukawa, Takahiro Okabe, Einoshin Suzuki, Yoichi Sato
Hierarchical Gaussian Descriptors with Application to Person Re-Identification. CoRR (2017)
Tetsu Matsukawa, Takahiro Okabe, Einoshin Suzuki, Yoichi Sato
Hierarchical Gaussian Descriptor for Person Re-identification. CVPR (2016)
Tetsu Matsukawa, Einoshin Suzuki
Person re-identification using CNN features learned from combination of attributes. ICPR (2016)
Shin Ando, Einoshin Suzuki
Minimizing response time in time series classification. Knowl. Inf. Syst. 46 (2) (2016)
Yutaka Deguchi, Einoshin Suzuki
Hidden Fatigue Detection for a Desk Worker Using Clustering of Successive Tasks. AmI (2015)
Einoshin Suzuki
On the Feasibility of Discovering Meta-Patterns from a Data Ensemble. Discovery Science (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)
Somar Boubou, Einoshin Suzuki
Classifying actions based on histogram of oriented velocity vectors. J. Intell. Inf. Syst. 44 (1) (2015)
Somar Boubou, A. H. Abdul Hafez, Einoshin Suzuki
Visual impression localization of autonomous robots. CASE (2015)
Shin Ando, Theerasak Thanomphongphan, Yoichi Seki, Einoshin Suzuki
Ensemble anomaly detection from multi-resolution trajectory features. Data Min. Knowl. Discov. 29 (1) (2015)
Kaikai Zhao, Einoshin Suzuki
Clustering Classifiers Learnt from Local Datasets Based on Cosine Similarity. ISMIS (2015)
Vasile-Marian Scuturici, Yann Gripay, Jean-Marc Petit, Yutaka Deguchi, Einoshin Suzuki
Continuous Query Processing Over Data, Streams and Services: Application to Robotics. ADBIS (Short Papers and Workshops) (2015)
Bin Tong, Junbin Gao, Thach Huy Nguyen, Hao Shao, Einoshin Suzuki
Transfer dimensionality reduction by Gaussian process in parallel. Knowl. Inf. Syst. 38 (3) (2014)
Yutaka Deguchi, Einoshin Suzuki
Skeleton Clustering by Autonomous Mobile Robots for Subtle Fall Risk Discovery. ISMIS (2014)
Shin Ando, Einoshin Suzuki
Discriminative Learning on Exemplary Patterns of Sequential Numerical Data. ICDM (2014)
Ryosuke Kondo, Yutaka Deguchi, Einoshin Suzuki
Developing a Face Monitoring Robot for a Desk Worker. AmI (2014)
Yutaka Deguchi, Daisuke Takayama, Shigeru Takano, Vasile-Marian Scuturici, Jean-Marc Petit, Einoshin Suzuki
Multiple-robot monitoring system based on a service-oriented DBMS. PETRA (2014)
Daisuke Ikeda, Einoshin Suzuki
Finding peculiar compositions of two frequent strings with background texts. Knowl. Inf. Syst. 41 (2) (2014)
Bin Tong, Tetsuro Morimura, Einoshin Suzuki, Tsuyoshi Idé
Probabilistic Two-Level Anomaly Detection for Correlated Systems. ECAI (2014)
Angdy Erna, Linli Yu, Kaikai Zhao, Wei Chen, Einoshin Suzuki
Facial Expression Data Constructed with Kinect and Their Clustering Stability. AMT (2014)
Daisuke Takayama, Yutaka Deguchi, Shigeru Takano, Vasile-Marian Scuturici, Jean-Marc Petit, Einoshin Suzuki
Multi-view Onboard Clustering of Skeleton Data for Fall Risk Discovery. AmI (2014)
Einoshin Suzuki, Yutaka Deguchi, Daisuke Takayama, Shigeru Takano, Vasile-Marian Scuturici, Jean-Marc Petit
Towards Facilitating the Development of Monitoring Systems with Low-Cost Autonomous Mobile Robots. ISIP (2013)
Shin Ando, Einoshin Suzuki
Time-sensitive Classification of Behavioral Data. SDM (2013)
Thach Huy Nguyen, Hao Shao, Bin Tong, Einoshin Suzuki
A feature-free and parameter-light multi-task clustering framework. Knowl. Inf. Syst. 36 (1) (2013)
Einoshin Suzuki
Special Issue on Discovery Science: Guest Editor's Introduction. Comput. J. 56 (3) (2013)
Bin-Hui Chou, Einoshin Suzuki
Detecting Academic Plagiarism with Graphs. EGC (2013)
Thach Huy Nguyen, Bin Tong, Hao Shao, Einoshin Suzuki
Transfer learning by centroid pivoted mapping in noisy environment. J. Intell. Inf. Syst. 41 (1) (2013)
Shigeru Takano, Ilya Loshchilov, David Meunier, Michèle Sebag, Einoshin Suzuki
Fast Adaptive Object Detection towards a Smart Environment by a Mobile Robot. AmI (2013)
Bin-Hui Chou, Einoshin Suzuki
RoClust: Role discovery for graph clustering. Web Intell. Agent Syst. 11 (1) (2013)
Hao Shao, Bin Tong, Einoshin Suzuki
Extended MDL principle for feature-based inductive transfer learning. Knowl. Inf. Syst. 35 (2) (2013)
Asuki Kouno, Daisuke Takayama, Einoshin Suzuki
Predicting the State of a Person by an Office-Use Autonomous Mobile Robot. IAT (2012)
Einoshin Suzuki, Emi Matsumoto, Asuki Kouno
Data Squashing for HSV Subimages by an Autonomous Mobile Robot. Discovery Science (2012)
Hao Shao, Bin Tong, Einoshin Suzuki
Query by Committee in a Heterogeneous Environment. ADMA (2012)
Bin Tong, Hao Shao, Bin-Hui Chou, Einoshin Suzuki
Linear semi-supervised projection clustering by transferred centroid regularization. J. Intell. Inf. Syst. 39 (2) (2012)
Bin Tong, Weifeng Jia, Yanli Ji, Einoshin Suzuki
Linear Semi-Supervised Dimensionality Reduction with Pairwise Constraint for Multiple Subclasses. IEICE Trans. Inf. Syst. (3) (2012)
Kouhei Takemoto, Shigeru Takano, Einoshin Suzuki
Human Detection by a Small Autonomous Mobile Robot. EGC (2012)
Shinsuke Sugaya, Daisuke Takayama, Asuki Kouno, Einoshin Suzuki
Intelligent Data Analysis by a Home-Use Human Monitoring Robot. IDA (2012)
Hiroshi Hirai, Bin-Hui Chou, Einoshin Suzuki
A Parameter-Free Method for Discovering Generalized Clusters in a Network. Discovery Science (2011)
Shin Ando, Einoshin Suzuki, Yoichi Seki, Theerasak Thanongphongphan, Daisuke Hoshino
ACE: Anomaly Clustering Ensemble for Multi-perspective Anomaly Detection in Robot Behaviors. SDM (2011)
Shigeru Takano, Einoshin Suzuki
New Object Detection for On-board Robot Vision by Lifting Complex Wavelet Transforms. ICDM Workshops (2011)
Thach Huy Nguyen, Hao Shao, Bin Tong, Einoshin Suzuki
A Compression-Based Dissimilarity Measure for Multi-task Clustering. ISMIS (2011)
Shin Ando, Einoshin Suzuki
Role-Behavior Analysis from Trajectory Data by Cross-Domain Learning. ICDM (2011)
Bin Tong, Junbin Gao, Thach Huy Nguyen, Einoshin Suzuki
Gaussian Process for Dimensionality Reduction in Transfer Learning. SDM (2011)
Hao Shao, Einoshin Suzuki
Feature-based Inductive Transfer Learning through Minimum Encoding. SDM (2011)
Somar Boubou, Asuki Kouno, Einoshin Suzuki
Implementing Camshift on a Mobile Robot for Person Tracking and Pursuit. ICDM Workshops (2011)
Hao Shao, Bin Tong, Einoshin Suzuki
Compact Coding for Hyperplane Classifiers in Heterogeneous Environment. ECML/PKDD (3) (2011)
Emi Matsumoto, Michèle Sebag, Einoshin Suzuki
Using SVM to Avoid Humans: A Case of a Small Autonomous Mobile Robot in an Office. ISCIS (2011)
Bin-Hui Chou, Einoshin Suzuki
Role Discovery for Graph Clustering. APWeb (2011)
Asuki Kouno, Jean-Marc Montanier, Shigeru Takano, Nicolas Bredèche, Marc Schoenauer, Michèle Sebag, Einoshin Suzuki
On-Board Evolutionary Algorithm and Off-Line Rule Discovery for Column Formation in Swarm Robotics. IAT (2011)
Takashi Washio, Einoshin Suzuki, Kai Ming Ting
Best papers from the 12th Pacific-Asia conference on knowledge discovery and data mining (PAKDD2008). Knowl. Inf. Syst. 25 (2) (2010)
Swagat Kumar, Thach Huy Nguyen, Einoshin Suzuki
Understanding the Behaviour of Reactive Robots in a Patrol Task by Analysing Their Trajectories. IAT (2010)
Bin Tong, Zhiguang Qin, Einoshin Suzuki
Topology Preserving SOM with Transductive Confidence Machine. Discovery Science (2010)
Asuki Kouno, Shigeru Takano, Einoshin Suzuki
Constructing Low-Cost Swarm Robots That March in Column Formation. ANTS Conference (2010)
Bin-Hui Chou, Einoshin Suzuki
Discovering Community-Oriented Roles of Nodes in a Social Network. DaWak (2010)
Bin Tong, Einoshin Suzuki
Subclass-Oriented Dimension Reduction with Constraint Transformation and Manifold Regularization. PAKDD (2) (2010)
Bin Tong, Hao Shao, Bin-Hui Chou, Einoshin Suzuki
Semi-supervised Projection Clustering with Transferred Centroid Regularization. ECML/PKDD (3) (2010)
Shin Ando, Einoshin Suzuki
Detection of unique temporal segments by information theoretic meta-clustering. KDD (2009)
JianBin Wang, Bin-Hui Chou, Einoshin Suzuki
-Most Abnormal Subgraphs from a Single Graph. Discovery Science (2009)
Einoshin Suzuki
Compression-Based Measures for Mining Interesting Rules. IEA/AIE (2009)
Hiroshi Hirai, Shigeru Takano, Einoshin Suzuki
Simulating Swarm Robots for Collision Avoidance Problem Based on a Dynamic Bayesian Network. ECAL (2) (2009)
Daisuke Ikeda, Einoshin Suzuki
Mining Peculiar Compositions of Frequent Substrings from Sparse Text Data Using Background Texts. ECML/PKDD (1) (2009)
Einoshin Suzuki
Discovering Action Rules That Are Highly Achievable from Massive Data. PAKDD (2009)
Einoshin Suzuki
Negative Encoding Length as a Subjective Interestingness Measure for Groups of Rules. PAKDD (2009)
Shin Ando, Einoshin Suzuki
Unsupervised Cross-Domain Learning by Interaction Information Co-clustering. ICDM (2008)

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Publication Activity (10 Years)

Top Topics

Top Venues

Einoshin Suzuki