Tsuyoshi Idé

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 32

Top Topics

Conditional Dependencies

Collaborative Learning

Anomaly Detection

Top Venues

Publications

Dongxia Wu, Tsuyoshi Idé, Aurélie C. Lozano, Georgios Kollias, Jirí Navrátil, Naoki Abe, Yi-An Ma, Rose Yu
Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes. CoRR (2024)
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
A resource-constrained stochastic scheduling algorithm for homeless street outreach and gleaning edible food. CoRR (2024)
Tsuyoshi Idé, Dzung T. Phan, Rudy Raymond
Decentralized Collaborative Learning Framework with External Privacy Leakage Analysis. CoRR (2024)
Tsuyoshi Idé, Jokin Labaien, Pin-Yu Chen
Improving Transformers using Faithful Positional Encoding. CoRR (2024)
Dongxia Wu, Tsuyoshi Idé, Georgios Kollias, Jirí Navrátil, Aurélie C. Lozano, Naoki Abe, Yi-An Ma, Rose Yu
Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes. AISTATS (2024)
Tsuyoshi Idé, Naoki Abe
Generative Perturbation Analysis for Probabilistic Black-Box Anomaly Attribution. KDD (2023)
Tsuyoshi Idé, Naoki Abe
Generative Perturbation Analysis for Probabilistic Black-Box Anomaly Attribution. CoRR (2023)
Jokin Labaien, Tsuyoshi Idé, Pin-Yu Chen, Ekhi Zugasti, Xabier De Carlos
Diagnostic Spatio-temporal Transformer with Faithful Encoding. CoRR (2023)
Jokin Labaien, Tsuyoshi Idé, Pin-Yu Chen, Ekhi Zugasti, Xabier De Carlos
Diagnostic spatio-temporal transformer with faithful encoding. Knowl. Based Syst. 274 (2023)
Tsuyoshi Idé, Naoki Abe
Black-Box Anomaly Attribution. CoRR (2023)
Yonas Sium, Georgios Kollias, Tsuyoshi Idé, Payel Das, Naoki Abe, Aurélie C. Lozano, Qi Li
Direction Aware Positional and Structural Encoding for Directed Graph Neural Networks. ICASSP (2023)
Georgios Kollias, Vasileios Kalantzis, Tsuyoshi Idé, Aurélie C. Lozano, Naoki Abe
Directed Graph Auto-Encoders. CoRR (2022)
Tsuyoshi Idé, Keerthiram Murugesan, Djallel Bouneffouf, Naoki Abe
Targeted Advertising on Social Networks Using Online Variational Tensor Regression. CoRR (2022)
Tsuyoshi Idé, Georgios Kollias, Dzung T. Phan, Naoki Abe
Cardinality-Regularized Hawkes-Granger Model. CoRR (2022)
Tsuyoshi Idé, Amit Dhurandhar, Jirí Navrátil, Moninder Singh, Naoki Abe
Anomaly Attribution with Likelihood Compensation. CoRR (2022)
Georgios Kollias, Vasileios Kalantzis, Tsuyoshi Idé, Aurélie C. Lozano, Naoki Abe
Directed Graph Auto-Encoders. AAAI (2022)
Tsuyoshi Idé, Rudy Raymond
Decentralized Collaborative Learning with Probabilistic Data Protection. CoRR (2022)
Tsuyoshi Idé, Georgios Kollias, Dzung T. Phan, Naoki Abe
Cardinality-Regularized Hawkes-Granger Model. NeurIPS (2021)
Tsuyoshi Idé, Rudy Raymond
Decentralized Collaborative Learning with Probabilistic Data Protection. SMDS (2021)
Tsuyoshi Idé, Amit Dhurandhar, Jirí Navrátil, Moninder Singh, Naoki Abe
Anomaly Attribution with Likelihood Compensation. AAAI (2021)
Dzung T. Phan, Tsuyoshi Idé
-Regularized Sparsity for Probabilistic Mixture Models. SDM (2019)
Long H. Vu, Sarah Kefayati, Tsuyoshi Idé, Venkata N. Pavuluri, Gretchen P. Jackson, Lisa Latts, Yuxiang Zhong, Pratik Agrawal, Yuan-Chi Chang
Predicting Nocturnal Hypoglycemia from Continuous Glucose Monitoring Data with Extended Prediction Horizon. AMIA (2019)
Tsuyoshi Idé, Rudy Raymond, Dzung T. Phan
Efficient Protocol for Collaborative Dictionary Learning in Decentralized Networks. IJCAI (2019)
Tsuyoshi Idé
Tensorial Change Analysis Using Probabilistic Tensor Regression. AAAI (2019)
Tsuyoshi Idé
Collaborative Anomaly Detection on Blockchain from Noisy Sensor Data. ICDM Workshops (2018)
Tsuyoshi Idé, Takayuki Katsuki, Tetsuro Morimura, Robert J. T. Morris
City-Wide Traffic Flow Estimation From a Limited Number of Low-Quality Cameras. IEEE Trans. Intell. Transp. Syst. 18 (4) (2017)
Tsuyoshi Idé, Dzung T. Phan, Jayant Kalagnanam
Multi-task Multi-modal Models for Collective Anomaly Detection. ICDM (2017)
Dzung T. Phan, Tsuyoshi Idé, Jayant Kalagnanam, Matt Menickelly, Katya Scheinberg
A Novel l0-Constrained Gaussian Graphical Model for Anomaly Localization. ICDM Workshops (2017)
Tsuyoshi Idé, Amit Dhurandhar
Supervised item response models for informative prediction. Knowl. Inf. Syst. 51 (1) (2017)
Takayuki Katsuki, Tetsuro Morimura, Tsuyoshi Idé
Unsupervised object counting without object recognition. ICPR (2016)
Tsuyoshi Idé, Ankush Khandelwal, Jayant Kalagnanam
Sparse Gaussian Markov Random Field Mixtures for Anomaly Detection. ICDM (2016)
Tsuyoshi Idé, Dzung T. Phan, Jayant Kalagnanam
Change Detection Using Directional Statistics. IJCAI (2016)
Ea-Ee Jan, Kuan-Yu Chen, Tsuyoshi Idé
Probabilistic text analytics framework for information technology service desk tickets. IM (2015)
Tsuyoshi Idé, Amit Dhurandhar
Informative Prediction Based on Ordinal Questionnaire Data. ICDM (2015)
Tsuyoshi Idé, Sinem Güven, Ee-Ea Jan, Sergey Makogon, Alejandro Venegas
Latent trait analysis for risk management of complex information technology projects. IM (2015)
Sinem Güven, Mathias Steiner, Tsuyoshi Idé, Amit M. Paradkar, Sergey Makogon, Alejandro Venegas
Mining for Gold: How to Predict Service Contract Performance with Optimal Accuracy Based on Ordinal Risk Assessment Data. IEEE SCC (2014)
Ea-Ee Jan, Kuan-Yu Chen, Tsuyoshi Idé
A Probabilistic Concept Annotation for IT Service Desk Tickets. ESAIR (2014)
Bin Tong, Tetsuro Morimura, Einoshin Suzuki, Tsuyoshi Idé
Probabilistic Two-Level Anomaly Detection for Correlated Systems. ECAI (2014)
Tetsuro Morimura, Takayuki Osogami, Tsuyoshi Idé
Solving inverse problem of Markov chain with partial observations. NIPS (2013)
Takayuki Osogami, Takashi Imamichi, Hideyuki Mizuta, Toyotaro Suzumura, Tsuyoshi Idé
Toward simulating entire cities with behavioral models of traffic. IBM J. Res. Dev. 57 (5) (2013)
Shohei Hido, Shoko Suzuki, Risa Nishiyama, Takashi Imamichi, Rikiya Takahashi, Tetsuya Nasukawa, Tsuyoshi Idé, Yusuke Kanehira, Rinju Yohda, Takeshi Ueno, Akira Tajima, Toshiya Watanabe
Modeling Patent Quality: A System for Large-scale Patentability Analysis using Text Mining. J. Inf. Process. 20 (3) (2012)
Shohei Hido, Shoko Suzuki, Risa Nishiyama, Takashi Imamichi, Rikiya Takahashi, Tetsuya Nasukawa, Tsuyoshi Idé, Yusuke Kanehira, Rinju Yohda, Takeshi Ueno, Akira Tajima, Toshiya Watanabe
Modeling Patent Quality: A System for Large-scale Patentability Analysis using Text Mining. Inf. Media Technol. 7 (3) (2012)
Toshihiro Takahashi, Tsuyoshi Idé
Predicting battery life from usage trajectory patterns. ICPR (2012)
Takashi Imamichi, Hidetoshi Numata, Hideyuki Mizuta, Tsuyoshi Idé
Nonlinear optimization to generate non-overlapping random dot patterns. WSC (2011)
Tsuyoshi Idé, Masashi Sugiyama
Trajectory Regression on Road Networks. AAAI (2011)
Masashi Sugiyama, Tsuyoshi Idé, Shinichi Nakajima, Jun Sese
Semi-supervised local Fisher discriminant analysis for dimensionality reduction. Mach. Learn. 78 (1-2) (2010)
Hisashi Kashima, Tsuyoshi Idé, Tsuyoshi Kato, Masashi Sugiyama
Recent Advances and Trends in Large-Scale Kernel Methods. IEICE Trans. Inf. Syst. (7) (2009)
Tsuyoshi Idé, Aurelie C. Lozano, Naoki Abe, Yan Liu
Proximity-Based Anomaly Detection Using Sparse Structure Learning. SDM (2009)
Tsuyoshi Idé, Sei Kato
Travel-Time Prediction Using Gaussian Process Regression: A Trajectory-Based Approach. SDM (2009)
Shohei Hido, Tsuyoshi Idé, Hisashi Kashima, Harunobu Kubo, Hirofumi Matsuzawa
Unsupervised Change Analysis Using Supervised Learning. PAKDD (2008)
Masashi Sugiyama, Tsuyoshi Idé, Shinichi Nakajima, Jun Sese
Semi-Supervised Local Fisher Discriminant Analysis for Dimensionality Reduction. PAKDD (2008)
Tsuyoshi Idé, Spiros Papadimitriou, Michail Vlachos
Computing Correlation Anomaly Scores Using Stochastic Nearest Neighbors. ICDM (2007)
Tsuyoshi Idé, Koji Tsuda
Change-Point Detection using Krylov Subspace Learning. SDM (2007)
Tsuyoshi Idé
Why Does Subsequence Time-Series Clustering Produce Sine Waves? PKDD (2006)
Tsuyoshi Idé
Translational Symmetry in Subsequence Time-Series Clustering. JSAI (2006)
Hisashi Kashima, Tadashi Tsumura, Tsuyoshi Idé, Takahide Nogayama, Ryo Hirade, Hiroaki Etoh, Takeshi Fukuda
Network-Based Problem Detection for Distributed Systems. ICDE (2005)
Tsuyoshi Idé
Pairwise Symmetry Decomposition Method for Generalized Covariance Analysis. ICDM (2005)
Tsuyoshi Idé, Keisuke Inoue
Knowledge Discovery from Heterogeneous Dynamic Systems using Change-Point Correlations. SDM (2005)
Tsuyoshi Idé, Hisashi Kashima
Effective Dimension in Anomaly Detection: Its Application to Computer Systems. JSAI Workshops (2004)
Tsuyoshi Idé, Hisashi Kashima
Eigenspace-based anomaly detection in computer systems. KDD (2004)