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
|
2. |
Unsupervised Domain Adaptation for Extra Features in the Target Domain Using Optimal Transport
Aritake, Toshimitsu, Hino, Hideitsu
2022.9
|
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
|
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
|
5. |
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
|
6. |
Fast and robust multiplane single molecule localization microscopy using deep neural network
Toshimitsu Aritake
Neurocomputing Vol.451,pp.279-289 2020.1
|
7. |
Learning Scale and Shift-Invariant Dictionary for Sparse Representation
Toshimitsu Aritake
Machine Learning, Optimization, and Data Science Vol.11943 LNCS 2019
|
8. |
Sleep State Analysis Using Calcium Imaging Data by Non-negative Matrix Factorization
Toshimitsu Aritake
Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation Vol.11727 LNCS 2019
|
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
|
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
|
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
|