| Learning systems of concepts with an infinite relational model C Kemp, JB Tenenbaum, TL Griffiths, T Yamada, N Ueda AAAI 3, 5, 2006 | 990 | 2006 |
| Deterministic annealing EM algorithm N Ueda, R Nakano Neural networks 11 (2), 271-282, 1998 | 780* | 1998 |
| SMEM algorithm for mixture models N Ueda, R Nakano, Z Ghahramani, GE Hinton Neural computation 12 (9), 2109-2128, 2000 | 538 | 2000 |
| Parametric mixture models for multi-labeled text N Ueda, K Saito Advances in neural information processing systems 15, 2002 | 503 | 2002 |
| Generalization error of ensemble estimators N Ueda, R Nakano Proceedings of International Conference on Neural Networks (ICNN'96) 1, 90-95, 1996 | 401 | 1996 |
| Multichannel extensions of non-negative matrix factorization with complex-valued data H Sawada, H Kameoka, S Araki, N Ueda IEEE Transactions on Audio, Speech, and Language Processing 21 (5), 971-982, 2013 | 367 | 2013 |
| Bayesian unsupervised word segmentation with nested Pitman-Yor language modeling D Mochihashi, T Yamada, N Ueda Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL …, 2009 | 341 | 2009 |
| Higher-order factorization machines M Blondel, A Fujino, N Ueda, M Ishihata Advances in neural information processing systems 29, 2016 | 291 | 2016 |
| Optimal linear combination of neural networks for improving classification performance N Ueda IEEE Transactions on Pattern Analysis and Machine Intelligence 22 (2), 207-215, 2002 | 274 | 2002 |
| Fully neural network based model for general temporal point processes T Omi, K Aihara Advances in neural information processing systems 32, 2019 | 245 | 2019 |
| Land cover classification from fused DSM and UAV images using convolutional neural networks N Al-Najjar, H. A., Kalantar, B., Pradhan, B., Saeidi, V., Halin, A. A., Ueda Remote Sensing 11 (2), 1461, 2019 | 233 | 2019 |
| Topic tracking model for analyzing consumer purchase behavior. T Iwata, S Watanabe, T Yamada, N Ueda IJCAI 9, 1427-1432, 2009 | 213 | 2009 |
| Bayesian model search for mixture models based on optimizing variational bounds N Ueda, Z Ghahramani Neural Networks 15 (10), 1223-1241, 2002 | 190 | 2002 |
| Fire‐Net: A Deep Learning Framework for Active Forest Fire Detection ST Seydi, V Saeidi, B Kalantar, N Ueda, AA Halin Journal of Sensors 2022 (1), 8044390, 2022 | 182 | 2022 |
| Landslide susceptibility mapping: Machine and ensemble learning based on remote sensing big data B Kalantar, N Ueda, V Saeidi, K Ahmadi, AA Halin, F Shabani Remote Sensing 12 (11), 1737, 2020 | 171 | 2020 |
| Forest fire susceptibility prediction based on machine learning models with resampling algorithms on remote sensing data B Kalantar, N Ueda, MO Idrees, S Janizadeh, K Ahmadi, F Shabani Remote Sensing 12 (22), 3682, 2020 | 170 | 2020 |
| A hybrid generative/discriminative approach to semi-supervised classifier design A Fujino, N Ueda, K Saito Proceedings of the National Conference on Artificial Intelligence 20 (2), 764, 2005 | 168 | 2005 |
| Automated acquisition of explainable knowledge from unannotated histopathology images G Yamamoto, Y., Tsuzuki, T., Akatsuka, J., Ueki, M., Morikawa, H., Numata, Y ... Nature Communications, 2019 | 166 | 2019 |
| Online multiscale dynamic topic models T Iwata, T Yamada, Y Sakurai, N Ueda Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010 | 158 | 2010 |
| Efficacy and safety of dapagliflozin monotherapy in Japanese patients with type 2 diabetes inadequately controlled by diet and exercise K Kaku, A Kiyosue, S Inoue, N Ueda, T Tokudome, J Yang, AM Langkilde Diabetes, Obesity and Metabolism 16 (11), 1102-1110, 2014 | 141 | 2014 |
Tomoharu IwataNTTVerified email at hco.ntt.co.jp
