Tsuyoshi Idé - RankMe

69 papers A* 15A 7B 6Misc 3Journal 24Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Convergence-Guaranteed Elastic Net Graphical Model Estimation with Applications to Anomaly Localization. SDM Dzung T. Phan, Matt Menickelly, Tsuyoshi Idé, Jayant Kalagnanam
2025	J	`jnl`	Cross-Process Defect Attribution using Potential Loss Analysis. CoRR Tsuyoshi Idé, Kohei Miyaguchi
2025	J	`jnl`	Sequence-Aware Inline Measurement Attribution for Good-Bad Wafer Diagnosis. CoRR Kohei Miyaguchi, Masao Joko, Rebekah Sheraw, Tsuyoshi Idé
2025	J	`jnl`	Sequential uncertainty quantification with contextual tensors for social targeting. Knowl. Inf. Syst. Tsuyoshi Idé, Keerthiram Murugesan, Djallel Bouneffouf, Naoki Abe
2025	J	`jnl`	Wafer Defect Root Cause Analysis with Partial Trajectory Regression. CoRR Kohei Miyaguchi, Masao Joko, Rebekah Sheraw, Tsuyoshi Idé
2024	J	`jnl`	A resource-constrained stochastic scheduling algorithm for homeless street outreach and gleaning edible food. CoRR 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
2024	J	`jnl`	Decentralized Collaborative Learning Framework with External Privacy Leakage Analysis. CoRR Tsuyoshi Idé, Dzung T. Phan, Rudy Raymond
2024	J	`jnl`	Improving Transformers using Faithful Positional Encoding. CoRR Tsuyoshi Idé, Jokin Labaien, Pin-Yu Chen
2024	A	`conf`	Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes. AISTATS Dongxia Wu, Tsuyoshi Idé, Georgios Kollias, Jirí Navrátil, Aurélie C. Lozano, Naoki Abe, Yi-An Ma, Rose Yu
2024	J	`jnl`	Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes. CoRR Dongxia Wu, Tsuyoshi Idé, Aurélie C. Lozano, Georgios Kollias, Jirí Navrátil, Naoki Abe, Yi-An Ma, Rose Yu
2023	—	`ed.`	Advances in Knowledge Discovery and Data Mining - 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25-28, 2023, Proceedings, Part I PAKDD (1) Hisashi Kashima, Tsuyoshi Idé, Wen-Chih Peng
2023	—	`ed.`	Advances in Knowledge Discovery and Data Mining - 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25-28, 2023, Proceedings, Part II PAKDD (2) Hisashi Kashima, Tsuyoshi Idé, Wen-Chih Peng
2023	—	`ed.`	Advances in Knowledge Discovery and Data Mining - 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25-28, 2023, Proceedings, Part III PAKDD (3) Hisashi Kashima, Tsuyoshi Idé, Wen-Chih Peng
2023	—	`ed.`	Advances in Knowledge Discovery and Data Mining - 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25-28, 2023, Proceedings, Part IV PAKDD (4) Hisashi Kashima, Tsuyoshi Idé, Wen-Chih Peng
2023	J	`jnl`	Black-Box Anomaly Attribution. CoRR Tsuyoshi Idé, Naoki Abe
2023	J	`jnl`	Diagnostic Spatio-temporal Transformer with Faithful Encoding. CoRR Jokin Labaien, Tsuyoshi Idé, Pin-Yu Chen, Ekhi Zugasti, Xabier De Carlos
2023	J	`jnl`	Diagnostic spatio-temporal transformer with faithful encoding. Knowl. Based Syst. Jokin Labaien, Tsuyoshi Idé, Pin-Yu Chen, Ekhi Zugasti, Xabier De Carlos
2023	Misc	`conf`	Direction Aware Positional and Structural Encoding for Directed Graph Neural Networks. ICASSP Yonas Sium, Georgios Kollias, Tsuyoshi Idé, Payel Das, Naoki Abe, Aurélie C. Lozano, Qi Li
2023	A*	`conf`	Generative Perturbation Analysis for Probabilistic Black-Box Anomaly Attribution. KDD Tsuyoshi Idé, Naoki Abe
2023	J	`jnl`	Generative Perturbation Analysis for Probabilistic Black-Box Anomaly Attribution. CoRR Tsuyoshi Idé, Naoki Abe
2022	J	`jnl`	Anomaly Attribution with Likelihood Compensation. CoRR Tsuyoshi Idé, Amit Dhurandhar, Jirí Navrátil, Moninder Singh, Naoki Abe
2022	J	`jnl`	Cardinality-Regularized Hawkes-Granger Model. CoRR Tsuyoshi Idé, Georgios Kollias, Dzung T. Phan, Naoki Abe
2022	J	`jnl`	Decentralized Collaborative Learning with Probabilistic Data Protection. CoRR Tsuyoshi Idé, Rudy Raymond
2022	A*	`conf`	Directed Graph Auto-Encoders. AAAI Georgios Kollias, Vasileios Kalantzis, Tsuyoshi Idé, Aurélie C. Lozano, Naoki Abe
2022	J	`jnl`	Directed Graph Auto-Encoders. CoRR Georgios Kollias, Vasileios Kalantzis, Tsuyoshi Idé, Aurélie C. Lozano, Naoki Abe
2022	J	`jnl`	Targeted Advertising on Social Networks Using Online Variational Tensor Regression. CoRR Tsuyoshi Idé, Keerthiram Murugesan, Djallel Bouneffouf, Naoki Abe
2021	A*	`conf`	Anomaly Attribution with Likelihood Compensation. AAAI Tsuyoshi Idé, Amit Dhurandhar, Jirí Navrátil, Moninder Singh, Naoki Abe
2021	A*	`conf`	Cardinality-Regularized Hawkes-Granger Model. NeurIPS Tsuyoshi Idé, Georgios Kollias, Dzung T. Phan, Naoki Abe
2021	—	`conf`	Decentralized Collaborative Learning with Probabilistic Data Protection. SMDS Tsuyoshi Idé, Rudy Raymond
2019	A*	`conf`	Efficient Protocol for Collaborative Dictionary Learning in Decentralized Networks. IJCAI Tsuyoshi Idé, Rudy Raymond, Dzung T. Phan
2019	Misc	`conf`	Predicting Nocturnal Hypoglycemia from Continuous Glucose Monitoring Data with Extended Prediction Horizon. AMIA Long H. Vu, Sarah Kefayati, Tsuyoshi Idé, Venkata N. Pavuluri, Gretchen P. Jackson, Lisa Latts, Yuxiang Zhong, Pratik Agrawal, Yuan-Chi Chang
2019	A*	`conf`	Tensorial Change Analysis Using Probabilistic Tensor Regression. AAAI Tsuyoshi Idé
2018	—	`conf`	Collaborative Anomaly Detection on Blockchain from Noisy Sensor Data. ICDM Workshops Tsuyoshi Idé
2017	—	`conf`	A Novel l0-Constrained Gaussian Graphical Model for Anomaly Localization. ICDM Workshops Dzung T. Phan, Tsuyoshi Idé, Jayant Kalagnanam, Matt Menickelly, Katya Scheinberg
2017	J	`jnl`	City-Wide Traffic Flow Estimation From a Limited Number of Low-Quality Cameras. IEEE Trans. Intell. Transp. Syst. Tsuyoshi Idé, Takayuki Katsuki, Tetsuro Morimura, Robert J. T. Morris
2017	A*	`conf`	Multi-task Multi-modal Models for Collective Anomaly Detection. ICDM Tsuyoshi Idé, Dzung T. Phan, Jayant Kalagnanam
2017	J	`jnl`	Supervised item response models for informative prediction. Knowl. Inf. Syst. Tsuyoshi Idé, Amit Dhurandhar
2016	A*	`conf`	Change Detection Using Directional Statistics. IJCAI Tsuyoshi Idé, Dzung T. Phan, Jayant Kalagnanam
2016	A*	`conf`	Sparse Gaussian Markov Random Field Mixtures for Anomaly Detection. ICDM Tsuyoshi Idé, Ankush Khandelwal, Jayant Kalagnanam
2016	B	`conf`	Unsupervised object counting without object recognition. ICPR Takayuki Katsuki, Tetsuro Morimura, Tsuyoshi Idé
2015	A*	`conf`	Informative Prediction Based on Ordinal Questionnaire Data. ICDM Tsuyoshi Idé, Amit Dhurandhar
2015	B	`conf`	Latent trait analysis for risk management of complex information technology projects. IM Tsuyoshi Idé, Sinem Güven, Ee-Ea Jan, Sergey Makogon, Alejandro Venegas
2015	B	`conf`	Probabilistic text analytics framework for information technology service desk tickets. IM Ea-Ee Jan, Kuan-Yu Chen, Tsuyoshi Idé
2014	—	`conf`	A Probabilistic Concept Annotation for IT Service Desk Tickets. ESAIR Ea-Ee Jan, Kuan-Yu Chen, Tsuyoshi Idé
2014	—	`conf`	Mining for Gold: How to Predict Service Contract Performance with Optimal Accuracy Based on Ordinal Risk Assessment Data. IEEE SCC Sinem Güven, Mathias Steiner, Tsuyoshi Idé, Amit M. Paradkar, Sergey Makogon, Alejandro Venegas
2014	A	`conf`	Probabilistic Two-Level Anomaly Detection for Correlated Systems. ECAI Bin Tong, Tetsuro Morimura, Einoshin Suzuki, Tsuyoshi Idé
2013	—	`conf`	Solving inverse problem of Markov chain with partial observations. NIPS Tetsuro Morimura, Takayuki Osogami, Tsuyoshi Idé
2013	J	`jnl`	Toward simulating entire cities with behavioral models of traffic. IBM J. Res. Dev. Takayuki Osogami, Takashi Imamichi, Hideyuki Mizuta, Toyotaro Suzumura, Tsuyoshi Idé
2012	J	`jnl`	Modeling Patent Quality: A System for Large-scale Patentability Analysis using Text Mining. Inf. Media Technol. Shohei Hido, Shoko Suzuki, Risa Nishiyama, Takashi Imamichi, Rikiya Takahashi, Tetsuya Nasukawa, Tsuyoshi Idé, Yusuke Kanehira, Rinju Yohda, Takeshi Ueno, Akira Tajima, Toshiya Watanabe
2012	J	`jnl`	Modeling Patent Quality: A System for Large-scale Patentability Analysis using Text Mining. J. Inf. Process. Shohei Hido, Shoko Suzuki, Risa Nishiyama, Takashi Imamichi, Rikiya Takahashi, Tetsuya Nasukawa, Tsuyoshi Idé, Yusuke Kanehira, Rinju Yohda, Takeshi Ueno, Akira Tajima, Toshiya Watanabe
2012	B	`conf`	Predicting battery life from usage trajectory patterns. ICPR Toshihiro Takahashi, Tsuyoshi Idé
2011	Misc	`conf`	Nonlinear optimization to generate non-overlapping random dot patterns. WSC Takashi Imamichi, Hidetoshi Numata, Hideyuki Mizuta, Tsuyoshi Idé
2011	A*	`conf`	Trajectory Regression on Road Networks. AAAI Tsuyoshi Idé, Masashi Sugiyama
2010	J	`jnl`	Semi-supervised local Fisher discriminant analysis for dimensionality reduction. Mach. Learn. Masashi Sugiyama, Tsuyoshi Idé, Shinichi Nakajima, Jun Sese
2009	—	`ed.`	New Frontiers in Artificial Intelligence, JSAI 2008 Conference and Workshops, Asahikawa, Japan, June 11-13, 2008, Revised Selected Papers JSAI Hiromitsu Hattori, Takahiro Kawamura, Tsuyoshi Idé, Makoto Yokoo, Yohei Murakami
2009	A	`conf`	Proximity-Based Anomaly Detection Using Sparse Structure Learning. SDM Tsuyoshi Idé, Aurélie C. Lozano, Naoki Abe, Yan Liu
2009	J	`jnl`	Recent Advances and Trends in Large-Scale Kernel Methods. IEICE Trans. Inf. Syst. Hisashi Kashima, Tsuyoshi Idé, Tsuyoshi Kato, Masashi Sugiyama
2009	A	`conf`	Travel-Time Prediction Using Gaussian Process Regression: A Trajectory-Based Approach. SDM Tsuyoshi Idé, Sei Kato
2008	B	`conf`	Semi-Supervised Local Fisher Discriminant Analysis for Dimensionality Reduction. PAKDD Masashi Sugiyama, Tsuyoshi Idé, Shinichi Nakajima, Jun Sese
2008	B	`conf`	Unsupervised Change Analysis Using Supervised Learning. PAKDD Shohei Hido, Tsuyoshi Idé, Hisashi Kashima, Harunobu Kubo, Hirofumi Matsuzawa
2007	A	`conf`	Change-Point Detection using Krylov Subspace Learning. SDM Tsuyoshi Idé, Koji Tsuda
2007	A*	`conf`	Computing Correlation Anomaly Scores Using Stochastic Nearest Neighbors. ICDM Tsuyoshi Idé, Spiros Papadimitriou, Michail Vlachos
2006	—	`conf`	Translational Symmetry in Subsequence Time-Series Clustering. JSAI Tsuyoshi Idé
2006	—	`conf`	Why Does Subsequence Time-Series Clustering Produce Sine Waves? PKDD Tsuyoshi Idé
2005	A	`conf`	Knowledge Discovery from Heterogeneous Dynamic Systems using Change-Point Correlations. SDM Tsuyoshi Idé, Keisuke Inoue
2005	A*	`conf`	Network-Based Problem Detection for Distributed Systems. ICDE Hisashi Kashima, Tadashi Tsumura, Tsuyoshi Idé, Takahide Nogayama, Ryo Hirade, Hiroaki Etoh, Takeshi Fukuda
2005	A*	`conf`	Pairwise Symmetry Decomposition Method for Generalized Covariance Analysis. ICDM Tsuyoshi Idé
2004	—	`conf`	Effective Dimension in Anomaly Detection: Its Application to Computer Systems. JSAI Workshops Tsuyoshi Idé, Hisashi Kashima
2004	A*	`conf`	Eigenspace-based anomaly detection in computer systems. KDD Tsuyoshi Idé, Hisashi Kashima