ホーム > 手塚 太郎/ Tezuka, Taro
手塚 太郎
Tezuka, Taro
システム情報系 , 教授 Faculty of Engineering, Information and Systems , Professor

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機械学習による神経細胞および脳の活動のデータ解析|手塚 太郎| 筑波大学研究者カタログ
2021-04-27
手塚 太郎
オープンアクセス版の論文は「つくばリポジトリ」で読むことができます。
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1.
Interpretations of Predictive Models for Lifestyle-related Diseases at Multiple Time Intervals
Yuki Oba; Taro Tezuka; Masaru Sanuki; Yukiko Wagatsuma
Lecture Notes in Computer Science 293 (2023) Semantic Scholar
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2.
Fully automatic REM sleep stage-specific intervention systems using single EEG in mice.
Iyo Koyanagi; Taro Tezuka; Jiahui Yu; Sakthivel Srinivasan (+6 著者) Masanori Sakaguchi
Neuroscience research 186: 51 (2022) Semantic Scholar
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3.
Real-time, automatic, open-source sleep stage classification system using single EEG for mice.
Taro Tezuka; Deependra Kumar; Sima Singh; Iyo Koyanagi (+1 著者) Masanori Sakaguchi
Scientific reports 11: 11151 (2021) Semantic Scholar
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4.
Interpretable Prediction of Diabetes from Tabular Health Screening Records Using an Attentional Neural Network.
Yuki Oba; Taro Tezuka; Masaru Sanuki; Yukiko Wagatsuma
8th IEEE International Conference on Data Science and Advanced Analytics(DSAA) 1 (2021) Semantic Scholar
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5.
Open-Source Software for Real-time Calcium Imaging and Synchronized Neuron Firing Detection.
Masaki Taniguchi; Taro Tezuka; Pablo Vergara; Sakthivel Srinivasan (+4 著者) Masanori Sakaguchi
EMBC 2997 (2021) Semantic Scholar
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6.
Automatic Trimap Generation by a Multimodal Neural Network.
Masaki Taniguchi; Taro Tezuka
ICIP 2768 (2021) Semantic Scholar
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7.
Analysis of Health Screening Records Using Interpretations of Predictive Models.
Yuki Oba; Taro Tezuka; Masaru Sanuki; Yukiko Wagatsuma
Artificial Intelligence in Medicine - 19th International Conference on Artificial Intelligence in Medicine(AIME) 146 (2021) Semantic Scholar
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8.
Information Bottleneck Analysis by a Conditional Mutual Information Bound.
Taro Tezuka; Shizuma Namekawa
Entropy 23: 974 (2021) Semantic Scholar
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9.
Evolutionary Neural Architecture Search by Mutual Information Analysis.
Shizuma Namekawa; Taro Tezuka
IEEE Congress on Evolutionary Computation(CEC) 966 (2021) Semantic Scholar
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10.
Pattern Recognition for Tennis Tactics using Hidden Markov Model from Rally Series.
Natsuki Miyahara; Taro Tezuka; Yasushi Nakauchi
IEEE/SICE International Symposium on System Integration(SII) 751 (2019) Semantic Scholar
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11.
Multineuron spike train analysis with R-convolution linear combination kernel.
Taro Tezuka
Neural Networks 102: 67 (2018) Semantic Scholar
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12.
Kernel Analysis for Estimating the Connectivity of a Network with Event Sequences.
Taro Tezuka; Christophe Claramunt
Journal of Artificial Intelligence and Soft Computing Research 7: 17 (2017) Semantic Scholar
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13.
Dictionary learning by Normalized Bilateral Projection.
Taro Tezuka
Journal of Information Processing 24: 565 (2016) Semantic Scholar
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14.
Monitoring the Level of Attention by Posture Measurement and EEG.
Ryohei Furutani; Yuki Seino; Taro Tezuka; Tetsuji Satoh
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, Recogbizing and Representing Events(CogSci) (2016)
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15.
Connectivity estimation of neural networks using a spike train kernel.
Taro Tezuka; Christophe Claramunt
2015 International Joint Conference on Neural Networks(IJCNN) 1 (2015) Semantic Scholar
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16.
Parametric Learning of Deep Convolutional Neural Network.
Rui Zhong; Taro Tezuka
Proceedings of the 19th International Database Engineering & Applications Symposium(IDEAS) 226 (2015) Semantic Scholar
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17.
Spike Train Pattern Discovery Using Interval Structure Alignment.
Taro Tezuka
Neural Information Processing - 22nd International Conference 241 (2015) Semantic Scholar
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18.
Fisher Laplacian Kernel for Image Analysis.
Mika Sayama; Taro Tezuka
Smart Digital Futures 2014, Proceedings of Three KES Conferences: Intelligent Decision Technologies (KES-IDT-14), Intelligent Interactive Multimedia Systems and Services (KES-IIMSS-14), and Smart Tech 377 (2014) Semantic Scholar
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19.
A dictionary learning algorithm for sparse coding by the normalized bilateral projections.
Taro Tezuka
IEEE International Workshop on Machine Learning for Signal Processing(MLSP) 1 (2014) Semantic Scholar
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20.
Spike Train kernels for multiple neuron recordings.
Taro Tezuka
IEEE International Conference on Acoustics, Speech and Signal Processing(ICASSP) 5994 (2014) Semantic Scholar
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1.
Web and Wireless Geographical Information Systems - 6th International Symposium, W2GIS 2006
Springer-Verlag 2006年
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2.
Web and Wireless Geographical Information Systems - 6th International Symposium, W2GIS 2006
Springer-Verlag 2006年
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21.
Extraction of Cognitively-Significant Place Names and Regions from Web-based Physical Proximity Co-occurrences
Web Information Systems – WISE2004, Lecture Notes in Computer Science 3306,Springer-Verlag 2004年
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22.
Temporal and Spatial Attribute Extraction from Web Documents and Time-Specific Regional Web Search System
Web and Wireless Geographical Information Systems - W2GIS2004, Lecture Notes in Computer Science 3428,Springer-Verlag 2004年
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23.
Extraction of Cognitively-Significant Place Names and Regions from Web-based Physical Proximity Co-occurrences
Web Information Systems – WISE2004, Lecture Notes in Computer Science 3306,Springer-Verlag 2004年
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24.
Temporal and Spatial Attribute Extraction from Web Documents and Time-Specific Regional Web Search System
Web and Wireless Geographical Information Systems - W2GIS2004, Lecture Notes in Computer Science 3428,Springer-Verlag 2004年
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