| Detecting concept drift using statistical testing K Nishida, K Yamauchi International conference on discovery science, 264-269, 2007 | 150 | 2007 |
| ACE: Adaptive classifiers-ensemble system for concept-drifting environments K Nishida, K Yamauchi, T Omori International Workshop on Multiple Classifier Systems, 176-185, 2005 | 96 | 2005 |
| Learning and detecting concept drift K Nishida Information Science and Technology, 2008 | 51 | 2008 |
| Adaptive classifiers-ensemble system for tracking concept drift K Nishida, K Yamauchi 2007 International Conference on Machine Learning and Cybernetics 6, 3607-3612, 2007 | 43 | 2007 |
| Improving tweet stream classification by detecting changes in word probability K Nishida, T Hoshide, K Fujimura Proceedings of the 35th international ACM SIGIR conference on Research and …, 2012 | 37 | 2012 |
| Tweet classification by data compression K Nishida, R Banno, K Fujimura, T Hoshide Proceedings of the 2011 international workshop on DETecting and Exploiting …, 2011 | 34 | 2011 |
| Deep feature extraction from trajectories for transportation mode estimation Y Endo, H Toda, K Nishida, A Kawanobe Pacific-Asia Conference on Knowledge Discovery and Data Mining, 54-66, 2016 | 30 | 2016 |
| Non-parallel voice conversion using variational autoencoders conditioned by phonetic posteriorgrams and d-vectors Y Saito, Y Ijima, K Nishida, S Takamichi 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 21 | 2018 |
| Learning, detecting, understanding, and predicting concept changes K Nishida, K Yamauchi 2009 International Joint Conference on Neural Networks, 2280-2287, 2009 | 21 | 2009 |
| Probabilistic identification of visited point-of-interest for personalized automatic check-in K Nishida, H Toda, T Kurashima, Y Suhara Proceedings of the 2014 ACM International Joint Conference on Pervasive and …, 2014 | 19 | 2014 |
| Classifying spatial trajectories using representation learning Y Endo, H Toda, K Nishida, J Ikedo International Journal of Data Science and Analytics 2 (3-4), 107-117, 2016 | 16 | 2016 |
| Detecting sudden concept drift with knowledge of human behavior K Nishida, S Shimada, S Ishikawa, K Yamauchi 2008 IEEE International Conference on Systems, Man and Cybernetics, 3261-3267, 2008 | 16 | 2008 |
| データ圧縮による Twitter のツイート話題分類 西田京介， 坂野遼平， 藤村考， 星出高秀 DEIM Forum 2, A1-6, 2011 | 12 | 2011 |
| An online learning algorithm with dimension selection using minimal hyper basis function networks K Nishida, K Yamauchi, T Omori Systems and Computers in Japan 37 (11), 11-21, 2006 | 11 | 2006 |
| Retrieve-and-read: Multi-task learning of information retrieval and reading comprehension K Nishida, I Saito, A Otsuka, H Asano, J Tomita Proceedings of the 27th ACM International Conference on Information and …, 2018 | 10 | 2018 |
| Predicting destinations from partial trajectories using recurrent neural network Y Endo, K Nishida, H Toda, H Sawada Pacific-Asia Conference on Knowledge Discovery and Data Mining, 160-172, 2017 | 10 | 2017 |
| Understanding the Semantic Structures of Tables with a Hybrid Deep Neural Network Architecture K Nishida, K Sadamitsu, R Higashinaka, Y Matsuo Thirty-First AAAI Conference on Artificial Intelligence, 2017 | 10 | 2017 |
| Extracting Arbitrary-shaped Stay Regions from Geospatial Trajectories with Outliers and Missing Points K Nishida, H Toda, Y Koike The 8th ACM SIGSPATIAL International Workshop on Computational …, 2015 | 9 | 2015 |
| What is he/she like?: Estimating twitter user attributes from contents and social neighbors J Ito, T Hoshide, H Toda, T Uchiyama, K Nishida 2013 IEEE/ACM International Conference on Advances in Social Networks …, 2013 | 8 | 2013 |
| Twitter と Blog の共通ユーザプロフィールを利用した Twitter ユーザ属性推定 伊藤淳， 西田京介， 星出高秀， 戸田浩之， 内山匡 研究報告情報基礎とアクセス技術 (IFAT) 2013 (4), 1-8, 2013 | 8 | 2013 |
Hiroyuki TodaNTT CorporationVerified email at acm.org