Kyosuke Nishida
Kyosuke Nishida
NTT Human Informatics Laboratories, NTT Corporation
Verified email at - Homepage
Cited by
Cited by
Detecting concept drift using statistical testing
K Nishida, K Yamauchi
International conference on discovery science, 264-269, 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
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
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
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
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
Learning and detecting concept drift
K Nishida
Information Science and Technology, 2008
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
Adaptive classifiers-ensemble system for tracking concept drift
K Nishida, K Yamauchi
2007 International Conference on Machine Learning and Cybernetics 6, 3607-3612, 2007
Classifying spatial trajectories using representation learning
Y Endo, H Toda, K Nishida, J Ikedo
International Journal of Data Science and Analytics 2 (3), 107-117, 2016
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
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
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
Tweet classification by data compression
K Nishida, R Banno, K Fujimura, T Hoshide
Proceedings of the 2011 international workshop on DETecting and Exploiting …, 2011
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
Commonsense knowledge base completion and generation
I Saito, K Nishida, H Asano, J Tomita
Proceedings of the 22nd Conference on Computational Natural Language …, 2018
A transformer-based audio captioning model with keyword estimation
Y Koizumi, R Masumura, K Nishida, M Yasuda, S Saito
arXiv preprint arXiv:2007.00222, 2020
A simple but effective method to incorporate multi-turn context with BERT for conversational machine comprehension
Y Ohsugi, I Saito, K Nishida, H Asano, J Tomita
arXiv preprint arXiv:1905.12848, 2019
Learning, detecting, understanding, and predicting concept changes
K Nishida, K Yamauchi
2009 International Joint Conference on Neural Networks, 2280-2287, 2009
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
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