Effective Dimension in Anomaly Detection: Its Application to Computer Systems. - Tsuyoshi Idé; Hisashi Kashima (JSAI Workshops, 2004)

Eigenspace-based anomaly detection in computer systems. - Tsuyoshi Idé; Hisashi Kashima (KDD, 2004)

Network-Based Problem Detection for Distributed Systems. - Hisashi Kashima; Tadashi Tsumura; Tsuyoshi Idé; Takahide Nogayama; Ryo Hirade; Hiroaki Etoh; Takeshi Fukuda (ICDE, 2005)

Pairwise Symmetry Decomposition Method for Generalized Covariance Analysis. - Tsuyoshi Idé (ICDM, 2005)

Knowledge Discovery from Heterogeneous Dynamic Systems using Change-Point Correlations. - Tsuyoshi Idé; Keisuke Inoue (SDM, 2005)

Translational Symmetry in Subsequence Time-Series Clustering. - Tsuyoshi Idé (JSAI, 2006)

Why Does Subsequence Time-Series Clustering Produce Sine Waves? - Tsuyoshi Idé (PKDD, 2006)

Computing Correlation Anomaly Scores Using Stochastic Nearest Neighbors. - Tsuyoshi Idé; Spiros Papadimitriou; Michail Vlachos (ICDM, 2007)

Change-Point Detection using Krylov Subspace Learning. - Tsuyoshi Idé; Koji Tsuda (SDM, 2007)

Unsupervised Change Analysis Using Supervised Learning. - Shohei Hido; Tsuyoshi Idé; Hisashi Kashima; Harunobu Kubo; Hirofumi Matsuzawa (PAKDD, 2008)

Travel-Time Prediction Using Gaussian Process Regression: A Trajectory-Based Approach. - Tsuyoshi Idé; Sei Kato (SDM, 2009)

Proximity-Based Anomaly Detection Using Sparse Structure Learning. - Tsuyoshi Idé; Aurélie C. Lozano; Naoki Abe; Yan Liu 002 (SDM, 2009)

Recent Advances and Trends in Large-Scale Kernel Methods. - Hisashi Kashima; Tsuyoshi Idé; Tsuyoshi Kato; Masashi Sugiyama (IEICE Trans. Inf. Syst., 2009)

Semi-supervised local Fisher discriminant analysis for dimensionality reduction. - Masashi Sugiyama; Tsuyoshi Idé; Shinichi Nakajima; Jun Sese (Mach. Learn., 2010)

Trajectory Regression on Road Networks. - Tsuyoshi Idé; Masashi Sugiyama (AAAI, 2011)

Nonlinear optimization to generate non-overlapping random dot patterns. - Takashi Imamichi; Hidetoshi Numata; Hideyuki Mizuta; Tsuyoshi Idé (WSC, 2011)

Predicting battery life from usage trajectory patterns. - Toshihiro Takahashi; Tsuyoshi Idé (ICPR, 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)

Solving inverse problem of Markov chain with partial observations. - Tetsuro Morimura; Takayuki Osogami; Tsuyoshi Idé (NIPS, 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)

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 (IEEE SCC, 2014)

A Probabilistic Concept Annotation for IT Service Desk Tickets. - Ea-Ee Jan; Kuan-Yu Chen; Tsuyoshi Idé (ESAIR, 2014)

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

Informative Prediction Based on Ordinal Questionnaire Data. - Tsuyoshi Idé; Amit Dhurandhar (ICDM, 2015)

Latent trait analysis for risk management of complex information technology projects. - Tsuyoshi Idé; Sinem Güven; Ee-Ea Jan; Sergey Makogon; Alejandro Venegas (IM, 2015)

Probabilistic text analytics framework for information technology service desk tickets. - Ea-Ee Jan; Kuan-Yu Chen; Tsuyoshi Idé (IM, 2015)

Sparse Gaussian Markov Random Field Mixtures for Anomaly Detection. - Tsuyoshi Idé; Ankush Khandelwal; Jayant Kalagnanam (ICDM, 2016)

Unsupervised object counting without object recognition. - Takayuki Katsuki; Tetsuro Morimura; Tsuyoshi Idé (ICPR, 2016)

Change Detection Using Directional Statistics. - Tsuyoshi Idé; Dzung T. Phan; Jayant Kalagnanam (IJCAI, 2016)

Multi-task Multi-modal Models for Collective Anomaly Detection. - Tsuyoshi Idé; Dzung T. Phan; Jayant Kalagnanam (ICDM, 2017)

A Novel l0-Constrained Gaussian Graphical Model for Anomaly Localization. - Dzung T. Phan; Tsuyoshi Idé; Jayant Kalagnanam; Matt Menickelly; Katya Scheinberg (ICDM Workshops, 2017)

Supervised item response models for informative prediction. - Tsuyoshi Idé; Amit Dhurandhar (Knowl. Inf. Syst., 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)

Collaborative Anomaly Detection on Blockchain from Noisy Sensor Data. - Tsuyoshi Idé (ICDM Workshops, 2018)

Tensorial Change Analysis Using Probabilistic Tensor Regression. - Tsuyoshi Idé (AAAI, 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 (AMIA, 2019)

Efficient Protocol for Collaborative Dictionary Learning in Decentralized Networks. - Tsuyoshi Idé; Rudy Raymond; Dzung T. Phan (IJCAI, 2019)

ℓ0-Regularized Sparsity for Probabilistic Mixture Models. - Dzung T. Phan; Tsuyoshi Idé (SDM, 2019)

Anomaly Attribution with Likelihood Compensation. - Tsuyoshi Idé; Amit Dhurandhar; Jirí Navrátil 001; Moninder Singh; Naoki Abe (AAAI, 2021)

Cardinality-Regularized Hawkes-Granger Model. - Tsuyoshi Idé; Georgios Kollias; Dzung T. Phan; Naoki Abe (NeurIPS, 2021)

Decentralized Collaborative Learning with Probabilistic Data Protection. - Tsuyoshi Idé; Rudy Raymond (SMDS, 2021)

Directed Graph Auto-Encoders. - Georgios Kollias; Vasileios Kalantzis; Tsuyoshi Idé; Aurélie C. Lozano; Naoki Abe (AAAI, 2022)

Targeted Advertising on Social Networks Using Online Variational Tensor Regression. - Tsuyoshi Idé; Keerthiram Murugesan; Djallel Bouneffouf 001; Naoki Abe (CoRR, 2022)

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 012 (ICASSP, 2023)

Generative Perturbation Analysis for Probabilistic Black-Box Anomaly Attribution. - Tsuyoshi Idé; Naoki Abe (KDD, 2023)

Black-Box Anomaly Attribution. - Tsuyoshi Idé; Naoki Abe (CoRR, 2023)

Diagnostic spatio-temporal transformer with faithful encoding. - Jokin Labaien; Tsuyoshi Idé; Pin-Yu Chen; Ekhi Zugasti; Xabier De Carlos (Knowl. Based Syst., 2023)

Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes. - Dongxia Wu; Tsuyoshi Idé; Georgios Kollias; Jirí Navrátil 001; Aurélie C. Lozano; Naoki Abe; Yi-An Ma; Rose Yu (AISTATS, 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 001; Karthikeyan Shanmugam; Wei Sun; Kush R. Varshney; Lauri Goldkind; Gidi Kroch; Jaclyn Sawyer; et al. (CoRR, 2024)

Decentralized Collaborative Learning Framework with External Privacy Leakage Analysis. - Tsuyoshi Idé; Dzung T. Phan; Rudy Raymond (CoRR, 2024)

Improving Transformers using Faithful Positional Encoding. - Tsuyoshi Idé; Jokin Labaien; Pin-Yu Chen (CoRR, 2024)

Convergence-Guaranteed Elastic Net Graphical Model Estimation with Applications to Anomaly Localization. - Dzung T. Phan; Matt Menickelly; Tsuyoshi Idé; Jayant Kalagnanam (SDM, 2025)

Sequential uncertainty quantification with contextual tensors for social targeting. - Tsuyoshi Idé; Keerthiram Murugesan; Djallel Bouneffouf 001; Naoki Abe (Knowl. Inf. Syst., 2025)

Wafer Defect Root Cause Analysis with Partial Trajectory Regression. - Kohei Miyaguchi; Masao Joko; Rebekah Sheraw; Tsuyoshi Idé (CoRR, 2025)

Sequence-Aware Inline Measurement Attribution for Good-Bad Wafer Diagnosis. - Kohei Miyaguchi; Masao Joko; Rebekah Sheraw; Tsuyoshi Idé (CoRR, 2025)