1. |
Hawkes process modeling quantifies complicated firing behaviors of cortical neurons during sleep and wakefulness
Takeshi Kanda, Toshimitsu Aritake, Kaoru Ohyama, Kaspar E Vogt, Yuichi Makino, Thomas McHugh, Hideitsu Hino, Shotaro Akaho, Noboru Murata
2023.7
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2. |
Unsupervised Domain Adaptation for Extra Features in the Target Domain Using Optimal Transport
Toshimitsu Aritake, Hideitsu Hino
2022.9
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3. |
Domain Adaptation with Optimal Transport for Extended Variable Space (Peer-reviewed) Toshimitsu Aritake, Hideitsu Hino
2022 International Joint Conference on Neural Networks (IJCNN) 2022.7
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4. |
Detecting cell assemblies by NMF-based clustering from calcium imaging data
Mizuo Nagayama, Toshimitsu Aritake, Hideitsu Hino, Takeshi Kanda, Takehiro Miyazaki, Masashi Yanagisawa, Shotaro Akaho, Noboru Murata
Neural Networks Vol.149,pp.29-39 2022.5
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5. |
Fast and robust multiplane single-molecule localization microscopy using a deep neural network
Toshimitsu Aritake, Hideitsu Hino, Shigeyuki Namiki, Daisuke Asanuma, Kenzo Hirose, Noboru Murata
Neurocomputing Vol.451,pp.279-289 2021.9
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6. |
Single-Molecule Localization by Voxel-Wise Regression Using Convolutional Neural Network
Toshimitsu Aritake, Hideitsu Hino, Shigeyuki Namiki, Daisuke Asanuma, Kenzo Hirose, Noboru Murata
Results in Optics Vol.1,pp.100019 2020.11
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7. |
Learning Scale and Shift-Invariant Dictionary for Sparse Representation
Aritake, T., Murata, N.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol.11943 LNCS 2019
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8. |
Sleep State Analysis Using Calcium Imaging Data by Non-negative Matrix Factorization
Nagayama, M., Aritake, T., Hino, H., Kanda, T., Miyazaki, T., Yanagisawa, M., Akaho, S., Murata, N.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol.11727 LNCS 2019
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9. |
Learning Ancestral Atom via Sparse Coding
T. Aritake, H. Hino, N. Murata
IEEE Journal of Selected Topics in Signal Processing Vol.7,No.4 2013
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1. |
データ流通により加速する社会イノベーション : 欧州での取り組み—特集 官民データ活用とデータマネジメント
谷 繁幸, ヨナス・クリストファー ウィルムセン, 有竹 俊光, ブルーノ・ハンニバル テイラー
行政&情報システム Vol.53,No.3,pp.14-19 2017.6
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2. |
グローバルな顧客協創による社会イノベーションの創生 データ流通により加速する社会変革 欧州での取り組み
谷繁幸, VILLUMSEN Jonas Christoffer, 有竹俊光, TAYLOR Bruno Hannibal
日立評論 Vol.99,No.3 2017 |
3. |
スパースコーディングにおける基底生成のための単一母基底の学習—Ancestral Atom Learning for Dictionary Generation in Sparse Coding—情報論的学習理論と機械学習・第15回情報論的学習理論ワークショップ
有竹 俊光, 日野 英逸, 村田 昇
電子情報通信学会技術研究報告 = IEICE technical report : 信学技報 Vol.112,No.279,pp.343-350 2012.11
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