| On-line unsupervised outlier detection using finite mixtures with discounting learning algorithms K Yamanishi, JI Takeuchi, G Williams, P Milne Proceedings of the sixth ACM SIGKDD international conference on Knowledge …, 2000 | 947 | 2000 |
| A unifying framework for detecting outliers and change points from non-stationary time series data K Yamanishi, J Takeuchi Proceedings of the eighth ACM SIGKDD international conference on Knowledge …, 2002 | 433 | 2002 |
| A unifying framework for detecting outliers and change points from time series J Takeuchi, K Yamanishi IEEE transactions on Knowledge and Data Engineering 18 (4), 482-492, 2006 | 398 | 2006 |
| Anomaly detection method and system and maintenance method and system Y Matsunaga, J Takeuchi, T Nakata US Patent 8,611,228, 2013 | 137 | 2013 |
| Mining traffic data from probe-car system for travel time prediction T Nakata, J Takeuchi Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004 | 108 | 2004 |
| Asymptotically minimax regret by Bayes mixtures J Takeuchi, AR Barron Proceedings. 1998 IEEE International Symposium on Information Theory (Cat …, 1998 | 54 | 1998 |
| Equiaffine structures on statistical manifolds and Bayesian statistics H Matsuzoe, J Takeuchi, S Amari Differential Geometry and its Applications 24 (6), 567-578, 2006 | 39 | 2006 |
| Safe semi-supervised learning based on weighted likelihood M Kawakita, J Takeuchi Neural Networks 53, 146-164, 2014 | 38 | 2014 |
| Polynomial learnability of probabilistic concepts with respect to the Kullback-Leibler divergence N Abe, MK Warmuth, J Takeuchi Proceedings of the Fourth Annual Workshop on Computational Learning Theory …, 1991 | 38 | 1991 |
| An incident analysis system NICTER and its analysis engines based on data mining techniques D Inoue, K Yoshioka, M Eto, M Yamagata, E Nishino, J Takeuchi, ... Advances in Neuro-Information Processing: 15th International Conference …, 2009 | 35 | 2009 |
| Outlier determination rule generation device and outlier detection device, and outlier determination rule generation method and outlier detection method thereof K Yamanishi, JI Takeuchi US Patent 7,353,214, 2008 | 35 | 2008 |
| Asymptotically minimax regret for exponential families J Takeuchi, A Barron SITA’97, 665-668, 1997 | 30 | 1997 |
| Polynomial learnability of stochastic rules with respect to the KL-divergence and quadratic distance N Abe, J Takeuchi, MK Warmuth IEICE Transactions on Information and Systems 84 (3), 299-316, 2001 | 28 | 2001 |
| Autoregressive model learning device for time-series data and a device to detect outlier and change point using the same J Takeuchi, K Yamanishi US Patent 7,346,593, 2008 | 25 | 2008 |
| Time series analysis system, time series analysis method, and time series analysis program T Nakata, J Takeuchi US Patent App. 11/389,086, 2006 | 25 | 2006 |
| A behavior-based method for detecting distributed scan attacks in darknets Y Feng, Y Hori, K Sakurai, J Takeuchi Journal of information processing 21 (3), 527-538, 2013 | 24 | 2013 |
| Characterization of the Bayes estimator and the MDL estimator for exponential families J Takeuchi IEEE Transactions on Information Theory 43 (4), 1165-1174, 1997 | 24 | 1997 |
| Designing comprehensive cyber threat analysis platform: Can we orchestrate analysis engines? T Takahashi, Y Umemura, C Han, T Ban, K Furumoto, O Nakamura, ... 2021 IEEE International Conference on Pervasive Computing and Communications …, 2021 | 23 | 2021 |
| Properties of Jeffreys mixture for Markov sources J Takeuchi, T Kawabata, AR Barron IEEE transactions on information theory 59 (1), 438-457, 2012 | 23 | 2012 |
| Degree of outlier calculation device, and probability density estimation device and forgetful histogram calculation device for use therein K Yamanishi, JI Takeuchi US Patent 7,333,923, 2008 | 23 | 2008 |
Kenji YamanishiThe University of TokyoVerified email at mist.i.u-tokyo.ac.jp
