T. Idé

发表

Monitoring Entire-City Traffic using Low-Resolution Web Cameras

Tetsuro Morimura, Takayuki Katsuki, T. Idé, 2013 .

IBM Mega Traffic Simulator

T. Imamichi, T. Osogami, H. Mizuta, 2012 .

Semi-supervised local Fisher discriminant analysis for dimensionality reduction

Shinichi Nakajima, Masashi Sugiyama, Tsuyoshi Idé, 2009, Machine Learning.

Speeding up Change-Point Detection using Matrix Compression

T. Idé, 2006 .

近傍保存原理による異常検知 Anomaly Detection with Neighborhood Preservation Principle 井手剛

T. Idé, 2007 .

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

Amit M. Paradkar, Tsuyoshi Idé, Sinem Güven, 2014, 2014 IEEE International Conference on Services Computing.

Eigenspace-based anomaly detection in computer systems

Hisashi Kashima, Tsuyoshi Idé, H. Kashima, 2004, KDD.

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

Yuan-Chi Chang, Tsuyoshi Idé, Long Vu, 2020, AMIA.

Change Detection Using Directional Statistics

Jayant Kalagnanam, Tsuyoshi Idé, Dzung T. Phan, 2016, IJCAI.

Decentralized Collaborative Learning with Probabilistic Data Protection

Raymond H. Putra, Tsuyoshi Idé, T. Idé, 2021, 2021 IEEE International Conference on Smart Data Services (SMDS).

Efficient Protocol for Collaborative Dictionary Learning in Decentralized Networks

Raymond H. Putra, Tsuyoshi Idé, Dzung T. Phan, 2019, IJCAI.

Recent Advances and Trends in Large-Scale Kernel Methods

Masashi Sugiyama, Hisashi Kashima, Tsuyoshi Kato, 2009, IEICE Trans. Inf. Syst..

Effective Dimension in Anomaly Detection: Its Application to Computer Systems

Hisashi Kashima, Tsuyoshi Idé, H. Kashima, 2003, JSAI Workshops.

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

Tsuyoshi Idé, Sei Kato, T. Idé, 2009, SDM.

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

Akira Tajima, Tsuyoshi Idé, Takashi Imamichi, 2012, J. Inf. Process..

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

Tetsuro Morimura, Tsuyoshi Idé, Robert Morris, 2017, IEEE Transactions on Intelligent Transportation Systems.

Semi-Supervised Local Fisher Discriminant Analysis for Dimensionality Reduction

Shinichi Nakajima, Masashi Sugiyama, Tsuyoshi Idé, 2008, PAKDD.

Translational Symmetry in Subsequence Time-Series Clustering

Tsuyoshi Idé, T. Idé, 2006, JSAI.

Pairwise symmetry decomposition method for generalized covariance analysis

Tsuyoshi Idé, T. Idé, 2005, Fifth IEEE International Conference on Data Mining (ICDM'05).

Cardinality-Regularized Hawkes-Granger Model

N. Abe, D. Phan, T. Idé, 2022, NeurIPS.

Unsupervised Change Analysis Using Supervised Learning

Hisashi Kashima, Tsuyoshi Idé, Shohei Hido, 2008, PAKDD.

Predicting battery life from usage trajectory patterns

Tsuyoshi Idé, Toshihiro Takahashi, T. Idé, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

Knowledge Discovery from Heterogeneous Dynamic Systems using Change-Point Correlations

Keisuke Inoue, Tsuyoshi Idé, T. Idé, 2005, SDM.

Proximity-Based Anomaly Detection Using Sparse Structure Learning

Naoki Abe, Yan Liu, Tsuyoshi Idé, 2009, SDM.

Anomaly Attribution with Likelihood Compensation

Amit Dhurandhar, Tsuyoshi Idé, Naoki Abe, 2021, AAAI.

Trajectory Regression on Road Networks

Masashi Sugiyama, Tsuyoshi Idé, Masashi Sugiyama, 2011, AAAI.

Change-Point Detection using Krylov Subspace Learning

Tsuyoshi Idé, Koji Tsuda, K. Tsuda, 2007, SDM.

Collaborative Anomaly Detection on Blockchain from Noisy Sensor Data

Tsuyoshi Idé, T. Idé, 2018, 2018 IEEE International Conference on Data Mining Workshops (ICDMW).

Probabilistic text analytics framework for information technology service desk tickets

Ea-Ee Jan, Kuan-Yu Chen, Tsuyoshi Idé, 2015, 2015 IFIP/IEEE International Symposium on Integrated Network Management (IM).

Diagnostic Spatio-temporal Transformer with Faithful Encoding

Xabier De Carlos, T. Idé, E. Zugasti, 2023, Knowl. Based Syst..

Generative Perturbation Analysis for Probabilistic Black-Box Anomaly Attribution

N. Abe, T. Idé, 2023, KDD.

Tensorial Change Analysis Using Probabilistic Tensor Regression

Tsuyoshi Ide, T. Idé, 2019, AAAI.

ℓ0-Regularized Sparsity for Probabilistic Mixture Models

Tsuyoshi Idé, Dzung T. Phan, D. Phan, 2019, SDM.

Multi-task Multi-modal Models for Collective Anomaly Detection

Jayant Kalagnanam, Tsuyoshi Idé, Dzung T. Phan, 2017, 2017 IEEE International Conference on Data Mining (ICDM).

Toward simulating entire cities with behavioral models of traffic

Toyotaro Suzumura, Tsuyoshi Idé, Takayuki Osogami, 2013, IBM J. Res. Dev..

Solving inverse problem of Markov chain with partial observations

Tetsuro Morimura, Tsuyoshi Idé, Takayuki Osogami, 2013, NIPS.

Network-based problem detection for distributed systems

Hisashi Kashima, Tsuyoshi Idé, Takeshi Fukuda, 2005, 21st International Conference on Data Engineering (ICDE'05).

Probabilistic Two-Level Anomaly Detection for Correlated Systems

Einoshin Suzuki, Tetsuro Morimura, Tsuyoshi Idé, 2014, ECAI.

Change Detection from Heterogeneous Data Sources

Tsuyoshi Ide, T. Idé, 2014 .

Computing Correlation Anomaly Scores Using Stochastic Nearest Neighbors

Spiros Papadimitriou, Michail Vlachos, Tsuyoshi Idé, 2007, Seventh IEEE International Conference on Data Mining (ICDM 2007).

Trajectory Regression for Travel-Time Prediction

Tsuyoshi Ide, Kato Sei, T. Idé, 2010 .

Informative Prediction Based on Ordinal Questionnaire Data

Amit Dhurandhar, Tsuyoshi Idé, Amit Dhurandhar, 2015, 2015 IEEE International Conference on Data Mining.

Signal and noise extraction from analog memory elements for neuromorphic computing

N Gong, T Idé, S Kim, 2018, Nature Communications.

A Probabilistic Concept Annotation for IT Service Desk Tickets

Ea-Ee Jan, Tsuyoshi Idé, Kuan-Yu Chen, 2014, ESAIR '14.