| Detecting concept drift using statistical testing K Nishida, K Yamauchi International conference on discovery science, 264-269, 2007 | 202 | 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 | 107 | 2005 |
| 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 | 70 | 2016 |
| Learning and detecting concept drift K Nishida Information Science and Technology, 2008 | 59 | 2008 |
| 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 | 57 | 2018 |
| Adaptive classifiers-ensemble system for tracking concept drift K Nishida, K Yamauchi 2007 International Conference on Machine Learning and Cybernetics 6, 3607-3612, 2007 | 51 | 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 | 41 | 2012 |
| 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 | 36 | 2017 |
| Tweet classification by data compression K Nishida, R Banno, K Fujimura, T Hoshide Proceedings of the 2011 international workshop on DETecting and Exploiting …, 2011 | 36 | 2011 |
| Answering while summarizing: Multi-task learning for multi-hop QA with evidence extraction K Nishida, K Nishida, M Nagata, A Otsuka, I Saito, H Asano, J Tomita arXiv preprint arXiv:1905.08511, 2019 | 34 | 2019 |
| Multi-style generative reading comprehension K Nishida, I Saito, K Nishida, K Shinoda, A Otsuka, H Asano, J Tomita arXiv preprint arXiv:1901.02262, 2019 | 34 | 2019 |
| 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 | 33 | 2016 |
| 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 | 29 | 2014 |
| 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 | 23 | 2017 |
| Learning, detecting, understanding, and predicting concept changes K Nishida, K Yamauchi 2009 International Joint Conference on Neural Networks, 2280-2287, 2009 | 23 | 2009 |
| 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 | 22 | 2018 |
| Commonsense knowledge base completion and generation I Saito, K Nishida, H Asano, J Tomita Proceedings of the 22nd Conference on Computational Natural Language …, 2018 | 21 | 2018 |
| 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 | 17 | 2008 |
| Improving neural text normalization with data augmentation at character-and morphological levels I Saito, J Suzuki, K Nishida, K Sadamitsu, S Kobashikawa, R Masumura, ... Proceedings of the Eighth International Joint Conference on Natural Language …, 2017 | 14 | 2017 |
| 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 | 14 | 2006 |
Hiroyuki TodaNTTVerified email at lab.ntt.co.jp
