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Ryosuke Kojima

11PUBLICATIONS

42CO-AUTHORS

Deep learningNeural networksAdversarial machine learningSemi- and unsupervised learningBiomolecular modelling and design

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Publications (11)

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|Jan 30, 2026

A deep state-space analysis framework for cancer patient latent state estimation and classification from EHR time-series data.

Yuji Okamoto, Aya Nakamura, Ryosuke Kojima

|Nov 12, 2025

Detection of Polyphonic Alarm Sounds From Medical Devices Using Frequency-Enhanced Deep Learning: Simulation Study.

Kazumasa Kishimoto, Tadamasa Takemura, Osamu Sugiyama

|Oct 22, 2025

Improving ADME Prediction with Multitask Graph Neural Networks and Assessing Explainability in Lead Optimization.

Shoma Ito, Takuto Koyama, Shigeyuki Matsumoto

|Oct 01, 2025

Transfer learning from custom-tailored virtual molecular databases to real-world organic photosensitizers for catalytic activity prediction.

Naoki Noto, Taiki Nagano, Mikito Fujinami

|Apr 09, 2025

Transfer learning across different photocatalytic organic reactions.

Naoki Noto, Ryuga Kunisada, Tabea Rohlfs

|Mar 31, 2025

Precision spatiotemporal analysis of large-scale compound-protein interactions through molecular dynamics simulation.

Shigeyuki Matsumoto, Yuta Isaka, Ryo Kanada

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Frequent Collaborators

3 joint publications

Yasushi Okuno

3 joint publications

Hiroaki Iwata

2 joint publications

Takuto Koyama

2 joint publications

Susumu Saito

2 joint publications

Naoki Noto

1 joint publications

Yohei Mineharu

1 joint publications

Eiichiro Uchino

1 joint publications

Koh Ono

1 joint publications

Motoko Yanagita

1 joint publications

Ken Itoh

Frequent Collaborators

3 joint publications

Yasushi Okuno

3 joint publications

Hiroaki Iwata

2 joint publications

Takuto Koyama

2 joint publications

Susumu Saito

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