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Toshimitsu Aritake

Observed names: ARITAKE, Toshimitsu, Aritake, Toshimitsu
ORCID: 0000-0003-1322-9157
Observed ORCID: 0000-0003-1322-9157
OpenAlex ID: A5042479218
Data Tracking in Search of Workflows
2017 · Naja L. Holten Møller, Pernille Bjørn, et al. · ACM Conference on Computer Supported Cooperative Work (CSCW) · 24
A machine learning approach to designing and understanding tough, degradable polyamides
2025 · Yoshifumi Amamoto, Chie Koganemaru, et al. · npj Computational Materials · 21
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Detecting cell assemblies by NMF-based clustering from calcium imaging data
2022 · Mizuo Nagayama, Toshimitsu Aritake, et al. · Neural Networks · 17
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Fast and robust multiplane single-molecule localization microscopy using a deep neural network
2021 · Toshimitsu Aritake, Hideitsu Hino, et al. · Neurocomputing · 3
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Sleep State Analysis Using Calcium Imaging Data by Non-negative Matrix Factorization
2019 · Mizuo Nagayama, Toshimitsu Aritake, et al. · Lecture notes in computer science · 3
Learning Ancestral Atom via Sparse Coding
2013 · Toshimitsu Aritake, Hideitsu Hino, et al. · IEEE Journal of Selected Topics in Signal Processing · 3
Unsupervised Domain Adaptation for Extra Features in the Target Domain Using Optimal Transport
2022 · Toshimitsu Aritake, Hideitsu Hino · Neural Computation · 2
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Domain Adaptation with Optimal Transport for Extended Variable Space
2022 · Toshimitsu Aritake, Hideitsu Hino · International Joint Conference on Neural Networks (IJCNN) · 2
Domain Adaptation With Additional Features via Label-Aware and Graph-Based Fused Gromov-Wasserstein Optimal Transport
2026 · Toshimitsu Aritake, Hideitsu Hino · Neural Computation · 1
Single-molecule localization by voxel-wise regression using convolutional neural network
2020 · Toshimitsu Aritake, Hideitsu Hino, et al. · Results in Optics · 1
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Integrating Bayesian Spectral Deconvolution and Expert Scientific Reasoning for Robust Peak Estimation
2026 · Okubo, Hayato, Amamoto, Yoshifumi, et al. · arXiv (Cornell University)
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Unrolled Neural Adaptive Alternating Gradient Descent for NMF
2025 · Toshimitsu Aritake · Lecture notes in computer science
Unrolling Nonnegative Matrix Factorization via Learning Single Optimization Step in Alternating Optimization
2025 · Toshimitsu Aritake · International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence (ISMSI)
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Hawkes process modeling quantifies complicated firing behaviors of cortical neurons during sleep and wakefulness
2023 · Takeshi Kanda, Toshimitsu Aritake, et al. · bioRxiv (Cold Spring Harbor Laboratory)
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Real-time 3D localization of multifocal plane microscopy using deep neural network
2020 · Toshimitsu Aritake, Hino Hideitsu, et al. · IEICE Technical Report; IEICE Tech. Rep.
シフト及びスケーリングに頑健なスパースコーディングに関する研究
2020 · Aritake, Toshimitsu, 有竹, 俊光 · Institutional Repositories DataBase (IRDB)
A sleep state analysis from calcium imaging data using non-negative matrix factorization
2019 · Mizuo Nagayama, Toshimitsu Aritake, et al. · IEICE Technical Report; IEICE Tech. Rep.
Learning Scale and Shift-Invariant Dictionary for Sparse Representation
2019 · Toshimitsu Aritake, Noboru Murata · Lecture notes in computer science
非負行列因子分解によるカルシウムイメージングデータを用いた睡眠状態分析【jst・京大機械翻訳】
2019 · Nagayama Mizuo, Toshimitsu Aritake, et al. · Lecture notes in computer science
Ancestoral Atom Learning for Dictionary Generation in Sparse Coding
2012 · Toshimitsu Aritake, Hino Hideitsu, et al. · IEICE Technical Report; IEICE Tech. Rep.
Hawkes process modeling quantifies complicated firing behaviors of cortical neurons during sleep and wakefulness
· ARITAKE, Toshimitsu · Institutional Repositories DataBase (IRDB)
Works count: 21
Citation count: 77
H-index: 3
I10-index: 3
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