| Familiarity effects in EEG-based emotion recognition N Thammasan, K Moriyama, K Fukui, M Numao Brain informatics 4, 39-50, 2017 | 122 | 2017 |
| Encoder-decoder based convolutional neural networks with multi-scale-aware modules for crowd counting P Thanasutives, K Fukui, M Numao, B Kijsirikul 2020 25th international conference on pattern recognition (ICPR), 2382-2389, 2021 | 91 | 2021 |
| Application of deep belief networks in eeg-based dynamic music-emotion recognition N Thammasan, K Fukui, M Numao 2016 International Joint Conference on Neural Networks (IJCNN), 881-888, 2016 | 77 | 2016 |
| Continuous music-emotion recognition based on electroencephalogram N Thammasan, K Moriyama, K Fukui, M Numao IEICE TRANSACTIONS on Information and Systems 99 (4), 1234-1241, 2016 | 75 | 2016 |
| Extracting human behaviors with infrared sensor network S Honda, K Fukui, K Moriyama, S Kurihara, M Numao 2007 Fourth International Conference on Networked Sensing Systems, 122-125, 2007 | 51 | 2007 |
| An analysis of player affect transitions in survival horror games V Vachiratamporn, R Legaspi, K Moriyama, K Fukui, M Numao Journal on Multimodal User Interfaces 9, 43-54, 2015 | 47 | 2015 |
| Adversarial multi-task learning enhanced physics-informed neural networks for solving partial differential equations P Thanasutives, M Numao, K Fukui 2021 International Joint Conference on Neural Networks (IJCNN), 1-9, 2021 | 33 | 2021 |
| An implementation of affective adaptation in survival horror games V Vachiratamporn, K Moriyama, K Fukui, M Numao 2014 IEEE conference on computational intelligence and games, 1-8, 2014 | 31 | 2014 |
| Development and application of the renewable energy regional optimization utility tool for environmental sustainability: REROUTES K Hori, T Matsui, T Hasuike, K Fukui, T Machimura Renewable Energy 93, 548-561, 2016 | 29 | 2016 |
| Kernel density compression for real-time Bayesian encoding/decoding of unsorted hippocampal spikes D Sodkomkham, D Ciliberti, MA Wilson, K Fukui, K Moriyama, M Numao, ... Knowledge-Based Systems 94, 1-12, 2016 | 29 | 2016 |
| Multimodal fusion of EEG and musical features in music-emotion recognition N Thammasan, K Fukui, M Numao Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 26 | 2017 |
| Kernelized evolutionary distance metric learning for semi-supervised clustering W Kalintha, S Ono, M Numao, K Fukui Proc. 31st AAAI Conference on Artificial Intelligence, Student Abstract and …, 2017 | 25 | 2017 |
| Neighborhood-based smoothing of external cluster validity measures K Fukui, M Numao Advances in Knowledge Discovery and Data Mining: 16th Pacific-Asia …, 2012 | 23 | 2012 |
| Effects of individual health topic familiarity on activity patterns during health information searches I Puspitasari, K Moriyama, K Fukui, M Numao JMIR medical informatics 3 (1), e3803, 2015 | 22 | 2015 |
| Concept drift detection with clustering via statistical change detection methods Y Sakamoto, K Fukui, J Gama, D Nicklas, K Moriyama, M Numao 2015 Seventh International Conference on Knowledge and Systems Engineering …, 2015 | 21 | 2015 |
| Evolutionary distance metric learning approach to semi-supervised clustering with neighbor relations K Fukui, S Ono, T Megano, M Numao 2013 IEEE 25th international conference on tools with artificial …, 2013 | 21 | 2013 |
| Noise-aware Physics-informed Machine Learning for Robust PDE Discovery P Thanasutives, T Morita, M Numao, K Fukui Machine Learning: Science and Technology, 2023 | 18 | 2023 |
| A framework for predicting remaining useful life curve of rolling bearings under defect progression based on neural network and Bayesian method M Kitai, T Kobayashi, H Fujiwara, R Tani, M Numao, KI Fukui IEEE Access 9, 62642-62652, 2021 | 17 | 2021 |
| Learning subject-generalized topographical EEG embeddings using deep variational autoencoders and domain-adversarial regularization JL Hagad, T Kimura, K Fukui, M Numao Sensors 21 (5), 1792, 2021 | 17 | 2021 |
| Cluster sequence mining from event sequence data and its application to damage correlation analysis K Fukui, Y Okada, K Satoh, M Numao Knowledge-Based Systems 179, 136-144, 2019 | 17 | 2019 |
