Search Results - "Numao, Masayuki"

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

“…Emotion recognition based on electroencephalograms has become an active research area. Yet, identifying emotions using only brainwaves is still very…”
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Learning Subject-Generalized Topographical EEG Embeddings Using Deep Variational Autoencoders and Domain-Adversarial Regularization by Hagad, Juan Lorenzo, Kimura, Tsukasa, Fukui, Ken-Ichi, Numao, Masayuki

“…Two of the biggest challenges in building models for detecting emotions from electroencephalography (EEG) devices are the relatively small amount of labeled…”
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Multi-Kernel Temporal and Spatial Convolution for EEG-Based Emotion Classification by Emsawas, Taweesak, Morita, Takashi, Kimura, Tsukasa, Fukui, Ken-ichi, Numao, Masayuki

“…Deep learning using an end-to-end convolutional neural network (ConvNet) has been applied to several electroencephalography (EEG)-based brain–computer…”
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Familiarity effects in EEG-based emotion recognition by Thammasan, Nattapong, Moriyama, Koichi, Fukui, Ken-ichi, Numao, Masayuki

“…Although emotion detection using electroencephalogram (EEG) data has become a highly active area of research over the last decades, little attention has been…”
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Renewal of the Major Fields of New Generation Computing Vol. 40 (2022) by Numao, Masayuki, Matsuo, Yutaka, Kiyota, Yoji

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

“…We propose a new parameter-adaptive uncertainty-penalized Bayesian information criterion (UBIC) to discover the stable governing partial differential equation…”
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Noise-aware physics-informed machine learning for robust PDE discovery by Thanasutives, Pongpisit, Morita, Takashi, Numao, Masayuki, Fukui, Ken-ichi

“…This work is concerned with discovering the governing partial differential equation (PDE) of a physical system. Existing methods have demonstrated the PDE…”
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Warmer Environments Increase Implicit Mental Workload Even If Learning Efficiency Is Enhanced by Kimura, Tsukasa, Takemura, Noriko, Nakashima, Yuta, Kobori, Hirokazu, Nagahara, Hajime, Numao, Masayuki, Shinohara, Kazumitsu

“…Climate change is one of the most important issues for humanity. To defuse this problem, it is considered necessary to improve energy efficiency, make energy…”
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Renewal of the Major Fields of New Generation Computing Vol. 38 (2020) by Numao, Masayuki, Matsuo, Yutaka, Seki, Shinnosuke

“…The editorial board would like to introduce a new area editor, Shinnosuke Seki, who is establishing a new area for the journal: “ Theory of Natural Computing…”
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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 by Kitai, Masashi, Kobayashi, Takuji, Fujiwara, Hiroki, Tani, Ryoji, Numao, Masayuki, Fukui, Ken-Ichi

“…In order to improve Remaining Useful Life (RUL) prediction accuracy for rolling bearings under defect progressing, the robustness for individual differences…”
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Efficient Decision Trees for Multi–Class Support Vector Machines Using Entropy and Generalization Error Estimation by Kantavat, Pittipol, Kijsirikul, Boonserm, Songsiri, Patoomsiri, Fukui, Ken-Ichi, Numao, Masayuki

“…We propose new methods for support vector machines using a tree architecture for multi-class classification. In each node of the tree, we select an appropriate…”
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Personal sleep pattern visualization using sequence-based kernel self-organizing map on sound data by Wu, Hongle, Kato, Takafumi, Yamada, Tomomi, Numao, Masayuki, Fukui, Ken-ichi

“…•A novel approach to discover the sleep pattern through analyzing the sleep-related sound events based on kernelized sequence-based self-organizing map…”
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Soft Periodic Convolutional Recurrent Network for Spatiotemporal Climate Forecast by Phermphoonphiphat, Ekasit, Tomita, Tomohiko, Morita, Takashi, Numao, Masayuki, Fukui, Ken-Ichi

“…Many machine-learning applications and methods are emerging to solve problems associated with spatiotemporal climate forecasting; however, a prediction…”
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Kernel density compression for real-time Bayesian encoding/decoding of unsorted hippocampal spikes by Sodkomkham, Danaipat, Ciliberti, Davide, Wilson, Matthew A., Fukui, Ken-ichi, Moriyama, Koichi, Numao, Masayuki, Kloosterman, Fabian

“…To gain a better understanding of how neural ensembles communicate and process information, neural decoding algorithms are used to extract information encoded…”
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Discovering Emotion-Inducing Music Features Using EEG Signals by Cabredo, Rafael, Legaspi, Roberto, Inventado, Paul Salvador, Numao, Masayuki

“…Music induces different kinds of emotions in listeners. Previous research on music and emotions discovered that different music features can be used for…”
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Academic Roadmap in Integrated Information Field by Kuniyoshi, Yasuo, Numao, Masayuki

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SIR-Extended Information Diffusion Model of False Rumor and its Prevention Strategy for Twitter by Okada, Yoshiyuki, Ikeda, Keisuke, Shinoda, Kosuke, Toriumi, Fujio, Sakaki, Takeshi, Kazama, Kazuhiro, Numao, Masayuki, Noda, Itsuki, Kurihara, Satoshi

“…Nowadays, users of Twitter, one of famous social networking service, have rapidly increased in number, and many people have been exchanging information by…”
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A special Issue Dedicated to the Memory of Koichi Furukawa: a Note from the Editors by Numao, Masayuki

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Application of deep belief networks in eeg-based dynamic music-emotion recognition by Thammasan, Nattapong, Fukui, Ken-ichi, Numao, Masayuki

“…Estimating emotional states in music listening based on electroencephalogram (EEG) has been capturing the attention of researchers in the past decade. Although…”
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Visualizing internal micro-damage distribution in solid oxide fuel cells by Sato, Kazuhisa, Yabuta, Yoshie, Kumada, Keigo, Fukui, Ken-ichi, Numao, Masayuki, Kawada, Tatsuya

“…Non-destructive evaluation of the bonding state between the components of all-solid-state power devices is important to ensure their performance and…”
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