A Comparative Study of Window Size and Channel Arrangement on EEG-Emotion Recognition Using Deep CNN von Keelawat, Panayu, Thammasan, Nattapong, Numao, Masayuki, Kijsirikul, Boonserm

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Local Density Estimation Procedure for Autoregressive Modeling of Point Process Data von PAVASANT, Nat, MORITA, Takashi, NUMAO, Masayuki, FUKUI, Ken-ichi

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Learning Subject-Generalized Topographical EEG Embeddings Using Deep Variational Autoencoders and Domain-Adversarial Regularization von Hagad, Juan Lorenzo, Kimura, Tsukasa, Fukui, Ken-Ichi, Numao, Masayuki

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Multi-Kernel Temporal and Spatial Convolution for EEG-Based Emotion Classification von Emsawas, Taweesak, Morita, Takashi, Kimura, Tsukasa, Fukui, Ken-ichi, Numao, Masayuki

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Familiarity effects in EEG-based emotion recognition von Thammasan, Nattapong, Moriyama, Koichi, Fukui, Ken-ichi, Numao, Masayuki

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Adaptive Uncertainty-Penalized Model Selection for Data-Driven PDE Discovery von Thanasutives, Pongpisit, Morita, Takashi, Numao, Masayuki, Fukui, Ken-Ichi

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Renewal of the Major Fields of New Generation Computing Vol. 40 (2022) von Numao, Masayuki, Matsuo, Yutaka, Kiyota, Yoji

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Noise-aware physics-informed machine learning for robust PDE discovery von Thanasutives, Pongpisit, Morita, Takashi, Numao, Masayuki, Fukui, Ken-ichi

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Warmer Environments Increase Implicit Mental Workload Even If Learning Efficiency Is Enhanced von Kimura, Tsukasa, Takemura, Noriko, Nakashima, Yuta, Kobori, Hirokazu, Nagahara, Hajime, Numao, Masayuki, Shinohara, Kazumitsu

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Continuous Music-Emotion Recognition Based on Electroencephalogram von THAMMASAN, Nattapong, MORIYAMA, Koichi, FUKUI, Ken-ichi, NUMAO, Masayuki

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Renewal of the Major Fields of New Generation Computing Vol. 38 (2020) von Numao, Masayuki, Matsuo, Yutaka, Seki, Shinnosuke

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A Framework for Predicting Remaining Useful Life Curve of Rolling Bearings Under Defect Progression Based on Neural Network and Bayesian Method von Kitai, Masashi, Kobayashi, Takuji, Fujiwara, Hiroki, Tani, Ryoji, Numao, Masayuki, Fukui, Ken-Ichi

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Efficient Decision Trees for Multi–Class Support Vector Machines Using Entropy and Generalization Error Estimation von Kantavat, Pittipol, Kijsirikul, Boonserm, Songsiri, Patoomsiri, Fukui, Ken-Ichi, Numao, Masayuki

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Personal sleep pattern visualization using sequence-based kernel self-organizing map on sound data von Wu, Hongle, Kato, Takafumi, Yamada, Tomomi, Numao, Masayuki, Fukui, Ken-ichi

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Soft Periodic Convolutional Recurrent Network for Spatiotemporal Climate Forecast von Phermphoonphiphat, Ekasit, Tomita, Tomohiko, Morita, Takashi, Numao, Masayuki, Fukui, Ken-Ichi

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Trends in Artificial Intelligence: PRICAI 2016 Workshops : PeHealth 2016, I3A 2016, AIED 2016, AI4T 2016, IWEC 2016, and RSAI 2016, Phuket, Thailand, August 22-23, 2016, Revised Se... von Numao, Masayuki, Theeramunkong, Thanaruk, Supnithi, Thepchai, Ketcham, Mahasak, Hnoohom, Narit, Pramkeaw, Patiyuth

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Algorithmic Learning Theory: 13th International Conference, ALT 2002, lübeck, Germany, November 24-26, 2002, Proceedings von Cesa-Bianchi, Nicolò, Numao, Masayuki, Reischuk, Rüdiger

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Kernel density compression for real-time Bayesian encoding/decoding of unsorted hippocampal spikes von Sodkomkham, Danaipat, Ciliberti, Davide, Wilson, Matthew A., Fukui, Ken-ichi, Moriyama, Koichi, Numao, Masayuki, Kloosterman, Fabian

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Predicting Research Trends Identified by Research Histories via Breakthrough Researches von YAMASHITA, Nagayoshi, NUMAO, Masayuki, ICHISE, Ryutaro

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Design of Populations in Symbiotic Evolution to Generate Chord Progression in Consideration of the Entire Music Structure von Otani, Noriko, Shirakawa, Shoko, Numao, Masayuki

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