| Detecting concept drift using statistical testing K Nishida, K Yamauchi International conference on discovery science, 264-269, 2007 | 397 | 2007 |
| 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 | 147 | 2019 |
| 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 | 146 | 2018 |
| ACE: Adaptive classifiers-ensemble system for concept-drifting environments K Nishida, K Yamauchi, T Omori Multiple Classifier Systems: 6th International Workshop, MCS 2005, Seaside …, 2005 | 137 | 2005 |
| Visualmrc: Machine reading comprehension on document images R Tanaka, K Nishida, S Yoshida Proceedings of the AAAI Conference on Artificial Intelligence 35 (15), 13878 …, 2021 | 130 | 2021 |
| Deep feature extraction from trajectories for transportation mode estimation Y Endo, H Toda, K Nishida, A Kawanobe Advances in Knowledge Discovery and Data Mining: 20th Pacific-Asia …, 2016 | 129 | 2016 |
| 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 | 103 | 2017 |
| 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 | 100 | 2019 |
| 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 | 77 | 2020 |
| 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 | 76 | 2016 |
| Learning and detecting concept drift K Nishida Information Science and Technology, 2008 | 73 | 2008 |
| Predicting destinations from partial trajectories using recurrent neural network Y Endo, K Nishida, H Toda, H Sawada Advances in Knowledge Discovery and Data Mining: 21st Pacific-Asia …, 2017 | 72 | 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 | 70 | 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 | 63 | 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 | 60 | 2012 |
| 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 | 58 | 2019 |
| Commonsense knowledge base completion and generation I Saito, K Nishida, H Asano, J Tomita Proceedings of the 22nd Conference on Computational Natural Language …, 2018 | 51 | 2018 |
| Slidevqa: A dataset for document visual question answering on multiple images R Tanaka, K Nishida, K Nishida, T Hasegawa, I Saito, K Saito Proceedings of the AAAI Conference on Artificial Intelligence 37 (11), 13636 …, 2023 | 50 | 2023 |
| Tweet classification by data compression K Nishida, R Banno, K Fujimura, T Hoshide Proceedings of the 2011 international workshop on DETecting and Exploiting …, 2011 | 44 | 2011 |
| Abstractive summarization with combination of pre-trained sequence-to-sequence and saliency models I Saito, K Nishida, K Nishida, J Tomita arXiv preprint arXiv:2003.13028, 2020 | 43 | 2020 |
Kosuke NishidaNTT Human Informatics LaboratoriesZweryfikowany adres z hco.ntt.co.jp
