Einoshin Suzuki

Orcid: 0000-0001-7743-6177

According to our database1, Einoshin Suzuki authored at least 150 papers between 1991 and 2023.

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Bibliography

2023
Region Anomaly Detection via Spatial and Semantic Attributed Graph in Human Monitoring.
Sensors, February, 2023

Image Generation from a Hyper Scene Graph with Trinomial Hyperedges.
Proceedings of the 18th International Joint Conference on Computer Vision, 2023

Judging Credible and Unethical Statistical Data Explanations via Phrase Similarity Graph.
Proceedings of the 27th Pacific Asia Conference on Information Systems, 2023

Sample-Efficient Goal-Conditioned Reinforcement Learning via Predictive Information Bottleneck for Goal Representation Learning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Class-Specific Word Sense Aware Topic Modeling via Soft Orthogonalized Topics.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Cross-Modal Self-Supervised Feature Extraction for Anomaly Detection in Human Monitoring.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

2022
GIAD-ST: Detecting anomalies in human monitoring based on generative inpainting via self-supervised multi-task learning.
J. Intell. Inf. Syst., 2022

Detecting Video Anomalous Events with an Enhanced Abnormality Score.
Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

Judging Instinct Exploitation in Statistical Data Explanations Based on Word Embedding.
Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022

2021
Topic modeling for sequential documents based on hybrid inter-document topic dependency.
J. Intell. Inf. Syst., 2021

Adaptive and hybrid context-aware fine-grained word sense disambiguation in topic modeling based document representation.
Inf. Process. Manag., 2021

Semi-Supervised Few-Shot Classification with Deep Invertible Hybrid Models.
CoRR, 2021

Sparse Nonnegative Interaction Models.
IEEE Access, 2021

Detecting Anomalies from Human Activities by an Autonomous Mobile Robot based on "Fast and Slow" Thinking.
Proceedings of the 16th International Joint Conference on Computer Vision, 2021

GIAD: Generative Inpainting-Based Anomaly Detection via Self-Supervised Learning for Human Monitoring.
Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

Contrastive Goal Grouping for Policy Generalization in Goal-Conditioned Reinforcement Learning.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Context-Based Anomaly Detection via Spatial Attributed Graphs in Human Monitoring.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

2020
Hierarchical Gaussian Descriptors with Application to Person Re-Identification.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Detecting outliers with one-class selective transfer machine.
Knowl. Inf. Syst., 2020

Detecting Anomalous Regions from an Image based on Deep Captioning.
Proceedings of the 15th International Joint Conference on Computer Vision, 2020

Context-Aware Latent Dirichlet Allocation for Topic Segmentation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Experimental Evaluation of GAN-Based One-Class Anomaly Detection on Office Monitoring.
Proceedings of the Foundations of Intelligent Systems - 25th International Symposium, 2020

From Certain to Uncertain: Toward Optimal Solution for Offline Multiple Object Tracking.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Convolutional Feature Transfer via Camera-Specific Discriminative Pooling for Person Re-Identification.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Hybrid Context-Aware Word Sense Disambiguation in Topic Modeling based Document Representation.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019
Experimental validation for N-ary error correcting output codes for ensemble learning of deep neural networks.
J. Intell. Inf. Syst., 2019

Kernelized Cross-view Quadratic Discriminant Analysis for Person Re-Identification.
Proceedings of the 16th International Conference on Machine Vision Applications, 2019

Harnessing GAN with Metric Learning for One-Shot Generation on a Fine-Grained Category.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

2018
One-class Selective Transfer Machine for Personalized Anomalous Facial Expression Detection.
Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018), 2018

Multimodal Deep Neural Network with Image Sequence Features for Video Captioning.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Retraining: A Simple Way to Improve the Ensemble Accuracy of Deep Neural Networks for Image Classification.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Exploiting Micro-Clusters to Close The Loop in Data-Mining Robots for Human Monitoring.
Proceedings of the 2018 AAAI Spring Symposia, 2018

2017
Skeleton clustering by multi-robot monitoring for fall risk discovery.
J. Intell. Inf. Syst., 2017

2016
Minimizing response time in time series classification.
Knowl. Inf. Syst., 2016

Person re-identification using CNN features learned from combination of attributes.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Hierarchical Gaussian Descriptor for Person Re-identification.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Classifying actions based on histogram of oriented velocity vectors.
J. Intell. Inf. Syst., 2015

Ensemble anomaly detection from multi-resolution trajectory features.
Data Min. Knowl. Discov., 2015

Toward a platform for collecting, mining, and utilizing behavior data for detecting students with depression risks.
Proceedings of the 8th ACM International Conference on PErvasive Technologies Related to Assistive Environments, 2015

Clustering Classifiers Learnt from Local Datasets Based on Cosine Similarity.
Proceedings of the Foundations of Intelligent Systems - 22nd International Symposium, 2015

On the Feasibility of Discovering Meta-Patterns from a Data Ensemble.
Proceedings of the Discovery Science - 18th International Conference, 2015

Visual impression localization of autonomous robots.
Proceedings of the IEEE International Conference on Automation Science and Engineering, 2015

Hidden Fatigue Detection for a Desk Worker Using Clustering of Successive Tasks.
Proceedings of the Ambient Intelligence - 12th European Conference, AmI 2015, 2015

Continuous Query Processing Over Data, Streams and Services: Application to Robotics.
Proceedings of the New Trends in Databases and Information Systems, 2015

2014
Transfer dimensionality reduction by Gaussian process in parallel.
Knowl. Inf. Syst., 2014

Finding peculiar compositions of two frequent strings with background texts.
Knowl. Inf. Syst., 2014

Multiple-robot monitoring system based on a service-oriented DBMS.
Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments, 2014

Skeleton Clustering by Autonomous Mobile Robots for Subtle Fall Risk Discovery.
Proceedings of the Foundations of Intelligent Systems - 21st International Symposium, 2014

Discriminative Learning on Exemplary Patterns of Sequential Numerical Data.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Probabilistic Two-Level Anomaly Detection for Correlated Systems.
Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

Facial Expression Data Constructed with Kinect and Their Clustering Stability.
Proceedings of the Active Media Technology - 10th International Conference, 2014

Multi-view Onboard Clustering of Skeleton Data for Fall Risk Discovery.
Proceedings of the Ambient Intelligence, European Conference, 2014

Developing a Face Monitoring Robot for a Desk Worker.
Proceedings of the Ambient Intelligence, European Conference, 2014

2013
RoClust: Role discovery for graph clustering.
Web Intell. Agent Syst., 2013

Extended MDL principle for feature-based inductive transfer learning.
Knowl. Inf. Syst., 2013

A feature-free and parameter-light multi-task clustering framework.
Knowl. Inf. Syst., 2013

Transfer learning by centroid pivoted mapping in noisy environment.
J. Intell. Inf. Syst., 2013

Special Issue on Discovery Science: Guest Editor's Introduction.
Comput. J., 2013

Time-sensitive Classification of Behavioral Data.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Towards Facilitating the Development of Monitoring Systems with Low-Cost Autonomous Mobile Robots.
Proceedings of the Information Search, Integration, and Personalization, 2013

Detecting Academic Plagiarism with Graphs.
Proceedings of the Extraction et gestion des connaissances (EGC'2013), Actes, 29 janvier, 2013

Fast Adaptive Object Detection towards a Smart Environment by a Mobile Robot.
Proceedings of the Ambient Intelligence - 4th International Joint Conference, 2013

2012
Linear semi-supervised projection clustering by transferred centroid regularization.
J. Intell. Inf. Syst., 2012

Linear Semi-Supervised Dimensionality Reduction with Pairwise Constraint for Multiple Subclasses.
IEICE Trans. Inf. Syst., 2012

Intelligent Data Analysis by a Home-Use Human Monitoring Robot.
Proceedings of the Advances in Intelligent Data Analysis XI - 11th International Symposium, 2012

Predicting the State of a Person by an Office-Use Autonomous Mobile Robot.
Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Intelligent Agent Technology, 2012

Human Detection by a Small Autonomous Mobile Robot.
Proceedings of the Extraction et gestion des connaissances (EGC'2012), Actes, janvier 31, 2012

Data Squashing for HSV Subimages by an Autonomous Mobile Robot.
Proceedings of the Discovery Science - 15th International Conference, 2012

Query by Committee in a Heterogeneous Environment.
Proceedings of the Advanced Data Mining and Applications, 8th International Conference, 2012

2011
Gaussian Process for Dimensionality Reduction in Transfer Learning.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Feature-based Inductive Transfer Learning through Minimum Encoding.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

ACE: Anomaly Clustering Ensemble for Multi-perspective Anomaly Detection in Robot Behaviors.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Compact Coding for Hyperplane Classifiers in Heterogeneous Environment.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

A Compression-Based Dissimilarity Measure for Multi-task Clustering.
Proceedings of the Foundations of Intelligent Systems - 19th International Symposium, 2011

Using SVM to Avoid Humans: A Case of a Small Autonomous Mobile Robot in an Office.
Proceedings of the Computer and Information Sciences II, 2011

New Object Detection for On-board Robot Vision by Lifting Complex Wavelet Transforms.
Proceedings of the Data Mining Workshops (ICDMW), 2011

Implementing Camshift on a Mobile Robot for Person Tracking and Pursuit.
Proceedings of the Data Mining Workshops (ICDMW), 2011

Role-Behavior Analysis from Trajectory Data by Cross-Domain Learning.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

On-Board Evolutionary Algorithm and Off-Line Rule Discovery for Column Formation in Swarm Robotics.
Proceedings of the 2011 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2011

A Parameter-Free Method for Discovering Generalized Clusters in a Network.
Proceedings of the Discovery Science - 14th International Conference, 2011

Role Discovery for Graph Clustering.
Proceedings of the Web Technologies and Applications - 13th Asia-Pacific Web Conference, 2011

2010
Best papers from the 12th Pacific-Asia conference on knowledge discovery and data mining (PAKDD2008).
Knowl. Inf. Syst., 2010

Semi-supervised Projection Clustering with Transferred Centroid Regularization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Subclass-Oriented Dimension Reduction with Constraint Transformation and Manifold Regularization.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Understanding the Behaviour of Reactive Robots in a Patrol Task by Analysing Their Trajectories.
Proceedings of the 2010 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2010

Topology Preserving SOM with Transductive Confidence Machine.
Proceedings of the Discovery Science - 13th International Conference, 2010

Discovering Community-Oriented Roles of Nodes in a Social Network.
Proceedings of the Data Warehousing and Knowledge Discovery, 12th International Conference, 2010

Constructing Low-Cost Swarm Robots That March in Column Formation.
Proceedings of the Swarm Intelligence - 7th International Conference, 2010

2009
Mining Peculiar Compositions of Frequent Substrings from Sparse Text Data Using Background Texts.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Discovering Action Rules That Are Highly Achievable from Massive Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

Negative Encoding Length as a Subjective Interestingness Measure for Groups of Rules.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

Detection of unique temporal segments by information theoretic meta-clustering.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Compression-Based Measures for Mining Interesting Rules.
Proceedings of the Next-Generation Applied Intelligence, 2009

Simulating Swarm Robots for Collision Avoidance Problem Based on a Dynamic Bayesian Network.
Proceedings of the Advances in Artificial Life. Darwin Meets von Neumann, 2009

Finding the <i>k</i>-Most Abnormal Subgraphs from a Single Graph.
Proceedings of the Discovery Science, 12th International Conference, 2009

2008
Pitfalls for Categorizations of Objective Interestingness Measures for Rule Discovery.
Proceedings of the Statistical Implicative Analysis, Theory and Applications, 2008

Unsupervised Cross-Domain Learning by Interaction Information Co-clustering.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007
Spiral Removal of Exceptional Patients for Mining Chronic Hepatitis Data.
New Gener. Comput., 2007

Unifying Framework for Rule Semantics: Application to Gene Expression Data.
Fundam. Informaticae, 2007

Peut-on Capturer la Sémantique à Travers la Syntaxe ? - Découverte des Règles d'Exception Simultanée.
Proceedings of the Extraction et gestion des connaissances (EGC'2007), 2007

Une règle d'exception en Analyse Statistique Implicative.
Proceedings of the Extraction et gestion des connaissances (EGC'2007), 2007

2006
Data Mining Methods for Discovering Interesting Exceptions from an Unsupervised Table.
J. Univers. Comput. Sci., 2006

Intuitive Display for Search Engines Toward Fast Detection of Peculiar WWW Pages.
Proceedings of the Web Intelligence Meets Brain Informatics, 2006

Visualizing Transactional Data with Multiple Clusterings for Knowledge Discovery.
Proceedings of the Foundations of Intelligent Systems, 16th International Symposium, 2006

An Information Theoretic Approach to Detection of Minority Subsets in Database.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

DPITT: Multi-viewpoint Visualization System for Detecting Peculiar WWW Pages Rapidly.
Proceedings of the 2006 IEEE International Conference on Granular Computing, 2006

Classification non-supervisée de données relationnelles.
Proceedings of the Extraction et gestion des connaissances (EGC'2006), 2006

Strategy Diagram for Identifying Play Strategies in Multi-view Soccer Video Data.
Proceedings of the Discovery Science, 9th International Conference, 2006

Distributed Multi-objective GA for Generating Comprehensive Pareto Front in Deceptive Optimization Problems.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005
Unified algorithm for undirected discovery of exception rules.
Int. J. Intell. Syst., 2005

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

Multi-strategy Instance Selection in Mining Chronic Hepatitis Data.
Proceedings of the Foundations of Intelligent Systems, 15th International Symposium, 2005

Towards Ad-Hoc Rule Semantics for Gene Expression Data.
Proceedings of the Foundations of Intelligent Systems, 15th International Symposium, 2005

Mini-Car-Soccer as a testbed for granular computing.
Proceedings of the 2005 IEEE International Conference on Granular Computing, 2005

Sample based crowding method for multimodal optimization in continuous domain.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004
Spiral Discovery of a Separate Prediction Model from Chronic Hepatitis Data.
Proceedings of the New Frontiers in Artificial Intelligence - JSAI 2003 and JSAI 2004 Conferences and Workshops, Niigata, Japan, June 23-27, 2003 and Kanazawa, Japan, May 31, 2004

An Efficient Algorithm for Reducing Clauses Based on Constraint Satisfaction Techniques.
Proceedings of the Inductive Logic Programming, 14th International Conference, 2004

Using WWW-Distribution of Words in Detecting Peculiar Web Pages.
Proceedings of the Discovery Science, 7th International Conference, 2004

Undirected Exception Rule Discovery as Local Pattern Detection.
Proceedings of the Local Pattern Detection, 2004

2003
Detecting Hostile Accesses through Incremental Subspace Clustering.
Proceedings of the 2003 IEEE / WIC International Conference on Web Intelligence, 2003

Decision-tree Induction from Time-series Data Based on a Standard-example Split Test.
Proceedings of the Machine Learning, 2003

Detecting Interesting Exceptions from Medical Test Data with Visual Summarization.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

Improving Efficiency of Frequent Query Discovery by Eliminating Non-relevant Candidates.
Proceedings of the Discovery Science, 6th International Conference, 2003

Experimental Evaluation of Time-Series Decision Tree.
Proceedings of the Active Mining, Second International Workshop, 2003

2002
Undirected Discovery of Interesting Exception Rules.
Int. J. Pattern Recognit. Artif. Intell., 2002

Iterative Data Squashing for Boosting Based on a Distribution-Sensitive Distance.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2002

Data Squashing for Speeding Up Boosting-Based Outlier Detection.
Proceedings of the Foundations of Intelligent Systems, 13th International Symposium, 2002

Finding an Optimal Gain-Ratio Subset-Split Test for a Set-Valued Attribute in Decision Tree Induction.
Proceedings of the Machine Learning, 2002

Toward knowledge-driven spiral discovery of exception rules.
Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, 2002

In Pursuit of Interesting Patterns with Undirected Discovery of Exception Rules.
Proceedings of the Progress in Discovery Science, 2002

Subspace Clustering Based on Compressibility.
Proceedings of the Discovery Science, 5th International Conference, 2002

2001
Bloomy Decision Tree for Multi-objective Classification.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2001

Worst-Case Analysis of Rule Discovery.
Proceedings of the Discovery Science, 4th International Conference, DS 2001, Washington, 2001

2000
Research Topics Discovery from WWW by Keywords Association Rules.
Proceedings of the Rough Sets and Current Trends in Computing, 2000

Unified Algorithm for Undirected Discovery of Execption Rules.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000

Evaluating Hypothesis-Driven Exception-Rule Discovery with Medical Data Sets.
Proceedings of the Knowledge Discovery and Data Mining, 2000

Exception Rule Mining with a Relative Interestingness Measure.
Proceedings of the Knowledge Discovery and Data Mining, 2000

Issues in Organizing a Successful Knowledge Discovery Contest.
Proceedings of the Discovery Science, 2000

1999
Visualizing Discovered Rule Sets with Visual Graphs Based on Compressed Entropy Density.
Proceedings of the New Directions in Rough Sets, 1999

Support Vector Machines for Knowledge Discovery.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 1999

Prediction Rule Discovery Based on Dynamic Bias Selection.
Proceedings of the Methodologies for Knowledge Discovery and Data Mining, 1999

Scheduled Discovery of Exception Rules.
Proceedings of the Discovery Science, 1999

Normal Form Transformation for Object Recognition Based on Support Vector Machines.
Proceedings of the Discovery Science, 1999

1998
Discovery of Surprising Exception Rules Based on Intensity of Implication.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 1998

Simultaneous Reliability Evaluation of Generality and Accuracy for Rule Discovery in Databases.
Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998

1997
Autonomous Discovery of Reliable Exception Rules.
Proceedings of the Third International Conference on Knowledge Discovery and Data Mining (KDD-97), 1997

1996
Exceptional Knowledge Discovery in Databases Based on Information Theory.
Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), 1996

1994
Knowledge-Based Handling of Design Expertise.
Proceedings of the Tenth International Conference on Data Engineering, 1994

1993
Knowledge-based system for computer-aided drug design.
Knowl. Based Syst., 1993

1991
Logic-based approach to expert systems in chemistry.
Knowl. Based Syst., 1991


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