| Dynamically pre-trained deep recurrent neural networks using environmental monitoring data for predicting PM2.5 BT Ong, K Sugiura, K Zettsu Neural Computing and Applications 27, 1553-1566, 2016 | 283 | 2016 |
| Solar flare prediction model with three machine-learning algorithms using ultraviolet brightening and vector magnetograms N Nishizuka, K Sugiura, Y Kubo, M Den, S Watari, M Ishii The Astrophysical Journal 835 (2), 156, 2017 | 182 | 2017 |
| Deep flare net (DeFN) model for solar flare prediction N Nishizuka, K Sugiura, Y Kubo, M Den, M Ishii The Astrophysical Journal 858 (2), 113, 2018 | 169 | 2018 |
| Quality-of-experience (QoE) in emerging mobile social networks M Dong, T Kimata, K Sugiura, K Zettsu IEICE TRANSACTIONS on Information and Systems 97 (10), 2606-2612, 2014 | 114 | 2014 |
| RoboCup@ Home: Analysis and results of evolving competitions for domestic and service robots L Iocchi, D Holz, J Ruiz-del-Solar, K Sugiura, T Van Der Zant Artificial Intelligence 229, 258-281, 2015 | 113 | 2015 |
| Dynamic pre-training of deep recurrent neural networks for predicting environmental monitoring data BT Ong, K Sugiura, K Zettsu 2014 IEEE International Conference on Big Data (Big Data), 760-765, 2014 | 58 | 2014 |
| Learning, generation and recognition of motions by reference-point-dependent probabilistic models K Sugiura, N Iwahashi, H Kashioka, S Nakamura Advanced Robotics 25 (6-7), 825-848, 2011 | 56 | 2011 |
| Rospeex: A cloud robotics platform for human-robot spoken dialogues K Sugiura, K Zettsu 2015 IEEE/RSJ international conference on intelligent robots and systems …, 2015 | 50 | 2015 |
| Learning object-manipulation verbs for human-robot communication K Sugiura, N Iwahashi Proceedings of the 2007 workshop on Multimodal interfaces in semantic …, 2007 | 42 | 2007 |
| Operational solar flare prediction model using Deep Flare Net N Nishizuka, Y Kubo, K Sugiura, M Den, M Ishii Earth, Planets and Space 73, 1-12, 2021 | 40 | 2021 |
| Understanding natural language instructions for fetching daily objects using gan-based multimodal target–source classification A Magassouba, K Sugiura, AT Quoc, H Kawai IEEE Robotics and Automation Letters 4 (4), 3884-3891, 2019 | 40 | 2019 |
| Learning novel objects using out-of-vocabulary word segmentation and object extraction for home assistant robots M Attamimi, A Mizutani, T Nakamura, K Sugiura, T Nagai, N Iwahashi, ... 2010 IEEE International Conference on Robotics and Automation, 745-750, 2010 | 36 | 2010 |
| A multimodal classifier generative adversarial network for carry and place tasks from ambiguous language instructions A Magassouba, K Sugiura, H Kawai IEEE Robotics and Automation Letters 3 (4), 3113-3120, 2018 | 35 | 2018 |
| Space–time multiple regression model for grid-based population estimation in urban areas KK Lwin, K Sugiura, K Zettsu International Journal of Geographical Information Science 30 (8), 1579-1593, 2016 | 35 | 2016 |
| Reliable probability forecast of solar flares: deep flare net-reliable (DeFN-R) N Nishizuka, Y Kubo, K Sugiura, M Den, M Ishii The Astrophysical Journal 899 (2), 150, 2020 | 34 | 2020 |
| Robots that learn to communicate: A developmental approach to personally and physically situated human-robot conversations N Iwahashi, K Sugiura, R Taguchi, T Nagai, T Taniguchi 2010 AAAI Fall Symposium Series, 2010 | 27 | 2010 |
| A cloud robotics approach towards dialogue-oriented robot speech K Sugiura, Y Shiga, H Kawai, T Misu, C Hori Advanced Robotics 29 (7), 449-456, 2015 | 26 | 2015 |
| Multimodal attention branch network for perspective-free sentence generation A Magassouba, K Sugiura, H Kawai Conference on Robot Learning, 76-85, 2020 | 25 | 2020 |
| System and terminal for presenting recommended utterance candidates K Sugiura, H Okuma, N Kimura, Y Shiga, T Hayashi, E Mizukami US Patent 9,824,687, 2017 | 25 | 2017 |
| Visual explanation using attention mechanism in actor-critic-based deep reinforcement learning H Itaya, T Hirakawa, T Yamashita, H Fujiyoshi, K Sugiura 2021 International Joint Conference on Neural Networks (IJCNN), 1-10, 2021 | 23 | 2021 |
Naoto IwahashiOkayama Prefectural UniversityEmail verificata su c.oka-pu.ac.jp