Tsuyoshi Idé

According to our database, Tsuyoshi Idé authored at least 51 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Improving Transformers using Faithful Positional Encoding.

Tsuyoshi Idé, Jokin Labaien, Pin-Yu Chen

CoRR, 2024

Decentralized Collaborative Learning Framework with External Privacy Leakage Analysis.

Tsuyoshi Idé, Dzung T. Phan, Rudy Raymond

CoRR, 2024

A resource-constrained stochastic scheduling algorithm for homeless street outreach and gleaning edible food.

Conor M. Artman, Aditya Mate, Ezinne Nwankwo, Aliza Heching, Tsuyoshi Idé, Jirí Navrátil, Karthikeyan Shanmugam, Wei Sun, Kush R. Varshney, Lauri Goldkind, Gidi Kroch, Jaclyn Sawyer, Ian Watson

CoRR, 2024

Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes.

Dongxia Wu, Tsuyoshi Idé, Georgios Kollias, Jirí Navrátil, Aurélie C. Lozano, Naoki Abe, Yi-An Ma, Rose Yu

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Diagnostic spatio-temporal transformer with faithful encoding.

Jokin Labaien, Tsuyoshi Idé, Pin-Yu Chen, Ekhi Zugasti, Xabier De Carlos

Knowl. Based Syst., 2023

Black-Box Anomaly Attribution.

Tsuyoshi Idé, Naoki Abe

CoRR, 2023

Generative Perturbation Analysis for Probabilistic Black-Box Anomaly Attribution.

Tsuyoshi Idé, Naoki Abe

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Direction Aware Positional and Structural Encoding for Directed Graph Neural Networks.

Yonas Sium, Georgios Kollias, Tsuyoshi Idé, Payel Das, Naoki Abe, Aurélie C. Lozano, Qi Li

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Targeted Advertising on Social Networks Using Online Variational Tensor Regression.

Tsuyoshi Idé, Keerthiram Murugesan, Djallel Bouneffouf, Naoki Abe

CoRR, 2022

Directed Graph Auto-Encoders.

Georgios Kollias, Vasileios Kalantzis, Tsuyoshi Idé, Aurélie C. Lozano, Naoki Abe

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Decentralized Collaborative Learning with Probabilistic Data Protection.

Tsuyoshi Idé, Rudy Raymond

Proceedings of the IEEE International Conference on Smart Data Services, 2021

Cardinality-Regularized Hawkes-Granger Model.

Tsuyoshi Idé, Georgios Kollias, Dzung T. Phan, Naoki Abe

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Anomaly Attribution with Likelihood Compensation.

Tsuyoshi Idé, Amit Dhurandhar, Jirí Navrátil, Moninder Singh, Naoki Abe

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019

<i>ℓ</i>₀-Regularized Sparsity for Probabilistic Mixture Models.

Dzung T. Phan, Tsuyoshi Idé

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Efficient Protocol for Collaborative Dictionary Learning in Decentralized Networks.

Tsuyoshi Idé, Rudy Raymond, Dzung T. Phan

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Predicting Nocturnal Hypoglycemia from Continuous Glucose Monitoring Data with Extended Prediction Horizon.

Long H. Vu, Sarah Kefayati, Tsuyoshi Idé, Venkata N. Pavuluri, Gretchen P. Jackson, Lisa Latts, Yuxiang Zhong, Pratik Agrawal, Yuan-Chi Chang

Proceedings of the AMIA 2019, 2019

Tensorial Change Analysis Using Probabilistic Tensor Regression.

Tsuyoshi Idé

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Collaborative Anomaly Detection on Blockchain from Noisy Sensor Data.

Tsuyoshi Idé

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

2017

City-Wide Traffic Flow Estimation From a Limited Number of Low-Quality Cameras.

Tsuyoshi Idé, Takayuki Katsuki, Tetsuro Morimura, Robert J. T. Morris

IEEE Trans. Intell. Transp. Syst., 2017

Supervised item response models for informative prediction.

Tsuyoshi Idé, Amit Dhurandhar

Knowl. Inf. Syst., 2017

A Novel l0-Constrained Gaussian Graphical Model for Anomaly Localization.

Dzung T. Phan, Tsuyoshi Idé, Jayant Kalagnanam, Matt Menickelly, Katya Scheinberg

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Multi-task Multi-modal Models for Collective Anomaly Detection.

Tsuyoshi Idé, Dzung T. Phan, Jayant Kalagnanam

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016

Change Detection Using Directional Statistics.

Tsuyoshi Idé, Dzung T. Phan, Jayant Kalagnanam

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Unsupervised object counting without object recognition.

Takayuki Katsuki, Tetsuro Morimura, Tsuyoshi Idé

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Sparse Gaussian Markov Random Field Mixtures for Anomaly Detection.

Tsuyoshi Idé, Ankush Khandelwal, Jayant Kalagnanam

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015

Probabilistic text analytics framework for information technology service desk tickets.

Ea-Ee Jan, Kuan-Yu Chen, Tsuyoshi Idé

Proceedings of the IFIP/IEEE International Symposium on Integrated Network Management, 2015

Latent trait analysis for risk management of complex information technology projects.

Tsuyoshi Idé, Sinem Güven, Ee-Ea Jan, Sergey Makogon, Alejandro Venegas

Proceedings of the IFIP/IEEE International Symposium on Integrated Network Management, 2015

Informative Prediction Based on Ordinal Questionnaire Data.

Tsuyoshi Idé, Amit Dhurandhar

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

2014

Probabilistic Two-Level Anomaly Detection for Correlated Systems.

Bin Tong, Tetsuro Morimura, Einoshin Suzuki, Tsuyoshi Idé

Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

A Probabilistic Concept Annotation for IT Service Desk Tickets.

Ea-Ee Jan, Kuan-Yu Chen, Tsuyoshi Idé

Proceedings of the 7th International Workshop on Exploiting Semantic Annotations in Information Retrieval, 2014

Mining for Gold: How to Predict Service Contract Performance with Optimal Accuracy Based on Ordinal Risk Assessment Data.

Sinem Güven, Mathias Steiner, Tsuyoshi Idé, Amit M. Paradkar, Sergey Makogon, Alejandro Venegas

Proceedings of the IEEE International Conference on Services Computing, SCC 2014, Anchorage, AK, USA, June 27, 2014

2013

Toward simulating entire cities with behavioral models of traffic.

Takayuki Osogami, Takashi Imamichi, Hideyuki Mizuta, Toyotaro Suzumura, Tsuyoshi Idé

IBM J. Res. Dev., 2013

Solving inverse problem of Markov chain with partial observations.

Tetsuro Morimura, Takayuki Osogami, Tsuyoshi Idé

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2012

Modeling Patent Quality: A System for Large-scale Patentability Analysis using Text Mining.

Shohei Hido, Shoko Suzuki, Risa Nishiyama, Takashi Imamichi, Rikiya Takahashi, Tetsuya Nasukawa, Tsuyoshi Idé, Yusuke Kanehira, Rinju Yohda, Takeshi Ueno, Akira Tajima, Toshiya Watanabe

J. Inf. Process., 2012

Predicting battery life from usage trajectory patterns.

Toshihiro Takahashi, Tsuyoshi Idé

Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011

Nonlinear optimization to generate non-overlapping random dot patterns.

Takashi Imamichi, Hidetoshi Numata, Hideyuki Mizuta, Tsuyoshi Idé

Proceedings of the Winter Simulation Conference 2011, 2011

Trajectory Regression on Road Networks.

Tsuyoshi Idé, Masashi Sugiyama

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

Semi-supervised local Fisher discriminant analysis for dimensionality reduction.

Masashi Sugiyama, Tsuyoshi Idé, Shinichi Nakajima, Jun Sese

Mach. Learn., 2010

2009

Recent Advances and Trends in Large-Scale Kernel Methods.

Hisashi Kashima, Tsuyoshi Idé, Tsuyoshi Kato, Masashi Sugiyama

IEICE Trans. Inf. Syst., 2009

Proximity-Based Anomaly Detection Using Sparse Structure Learning.

Tsuyoshi Idé, Aurélie C. Lozano, Naoki Abe, Yan Liu

Proceedings of the SIAM International Conference on Data Mining, 2009

Travel-Time Prediction Using Gaussian Process Regression: A Trajectory-Based Approach.

Tsuyoshi Idé, Sei Kato

Proceedings of the SIAM International Conference on Data Mining, 2009

2008

Unsupervised Change Analysis Using Supervised Learning.

Shohei Hido, Tsuyoshi Idé, Hisashi Kashima, Harunobu Kubo, Hirofumi Matsuzawa

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

2007

Change-Point Detection using Krylov Subspace Learning.

Tsuyoshi Idé, Koji Tsuda

Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

Computing Correlation Anomaly Scores Using Stochastic Nearest Neighbors.

Tsuyoshi Idé, Spiros Papadimitriou, Michail Vlachos

Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

2006

Why Does Subsequence Time-Series Clustering Produce Sine Waves?

Tsuyoshi Idé

Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

Translational Symmetry in Subsequence Time-Series Clustering.

Tsuyoshi Idé

Proceedings of the New Frontiers in Artificial Intelligence, 2006

2005

Knowledge Discovery from Heterogeneous Dynamic Systems using Change-Point Correlations.

Tsuyoshi Idé, Keisuke Inoue

Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

Pairwise Symmetry Decomposition Method for Generalized Covariance Analysis.

Tsuyoshi Idé

Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

Network-Based Problem Detection for Distributed Systems.

Hisashi Kashima, Tadashi Tsumura, Tsuyoshi Idé, Takahide Nogayama, Ryo Hirade, Hiroaki Etoh, Takeshi Fukuda

Proceedings of the 21st International Conference on Data Engineering, 2005

2004

Eigenspace-based anomaly detection in computer systems.

Tsuyoshi Idé, Hisashi Kashima

Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Effective Dimension in Anomaly Detection: Its Application to Computer Systems.

Tsuyoshi Idé, Hisashi Kashima

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