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Takashi Matsubara
Takashi Matsubara
Verified email at sys.es.osaka-u.ac.jp - Homepage
Title
Cited by
Cited by
Year
Deep learning for stock prediction using numerical and textual information
R Akita, A Yoshihara, T Matsubara, K Uehara
2016 IEEE/ACIS 15th International Conference on Computer and Information …, 2016
4272016
Data augmentation using random image cropping and patching for deep CNNs
R Takahashi, T Matsubara, K Uehara
IEEE Transactions on Circuits and Systems for Video Technology 30 (9), 2917-2931, 2019
3742019
RICAP: Random image cropping and patching data augmentation for deep cnns
R Takahashi, T Matsubara, K Uehara
Asian conference on machine learning, 786-798, 2018
1302018
Classification and characterisation of brain network changes in chronic back pain: A multicenter study. Wellcome Open Res. 2018; 3: 19
H Mano, G Kotecha, K Leibnitz, T Matsubara, A Nakae, N Shenker
78*
A generalized rotate-and-fire digital spiking neuron model and its on-FPGA learning
T Matsubara, H Torikai, T Hishiki
IEEE Transactions on Circuits and Systems II: Express Briefs 58 (10), 677-681, 2011
652011
Asynchronous cellular automaton-based neuron: theoretical analysis and on-FPGA learning
T Matsubara, H Torikai
IEEE transactions on neural networks and learning systems 24 (5), 736-748, 2013
622013
An asynchronous recurrent network of cellular automaton-based neurons and its reproduction of spiking neural network activities
T Matsubara, H Torikai
IEEE Transactions on Neural Networks and Learning Systems 27 (4), 836-852, 2015
582015
Stock price prediction by deep neural generative model of news articles
T Matsubara, R Akita, K Uehara
IEICE TRANSACTIONS on Information and Systems 101 (4), 901-908, 2018
522018
Deep Energy-Based Modeling of Discrete-Time Physics
T Matsubara, A Ishikawa, T Yaguchi
Advances in Neural Information Processing Systems 33, 2020
482020
Deep neural generative model of functional MRI images for psychiatric disorder diagnosis
T Matsubara, T Tashiro, K Uehara
IEEE Transactions on Biomedical Engineering 66 (10), 2768-2779, 2019
442019
Image generation using generative adversarial networks and attention mechanism
Y Kataoka, T Matsubara, K Uehara
2016 IEEE/ACIS 15th International Conference on Computer and Information …, 2016
412016
Neural symplectic form: Learning Hamiltonian equations on general coordinate systems
Y Chen, T Matsubara, T Yaguchi
Advances in Neural Information Processing Systems 34, 16659-16670, 2021
312021
A novel weight-shared multi-stage CNN for scale robustness
R Takahashi, T Matsubara, K Uehara
IEEE Transactions on Circuits and Systems for Video Technology 29 (4), 1090-1101, 2018
272018
Deep generative model using unregularized score for anomaly detection with heterogeneous complexity
T Matsubara, K Sato, K Hama, R Tachibana, K Uehara
IEEE Transactions on Cybernetics 52 (6), 5161-5173, 2020
242020
Symplectic adjoint method for exact gradient of neural ODE with minimal memory
T Matsubara, Y Miyatake, T Yaguchi
Advances in Neural Information Processing Systems 34, 20772-20784, 2021
222021
Guidelines for creating artificial neural network empirical interatomic potential from first-principles molecular dynamics data under specific conditions and its application to …
K Shimamura, S Fukushima, A Koura, F Shimojo, M Misawa, RK Kalia, ...
The Journal of Chemical Physics 151 (12), 2019
222019
Generative adversarial network based on chaotic time series
M Naruse, T Matsubara, N Chauvet, K Kanno, T Yang, A Uchida
Scientific reports 9 (1), 12963, 2019
212019
Hypernetwork-based implicit posterior estimation and model averaging of cnn
K Ukai, T Matsubara, K Uehara
Asian conference on machine learning, 176-191, 2018
202018
Anomaly machine component detection by deep generative model with unregularized score
T Matsubara, R Tachibana, K Uehara
2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018
202018
Semi-supervised learning using adversarial networks
R Tachibana, T Matsubara, K Uehara
2016 IEEE/ACIS 15th International Conference on Computer and Information …, 2016
162016
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