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ORCIDRyosuke Tachibana
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2020 – today
- 2022
[j3]Takashi Matsubara
, Kazuki Sato, Kenta Hama, Ryosuke Tachibana, Kuniaki Uehara:
Deep Generative Model Using Unregularized Score for Anomaly Detection With Heterogeneous Complexity. IEEE Trans. Cybern. 52(6): 5161-5173 (2022)- 2021
- [j2]Takashi Morita, Hiroki Koda, Kazuo Okanoya, Ryosuke Tachibana:
Measuring context dependency in birdsong using artificial neural networks. PLoS Comput. Biol. 17(12) (2021)
2010 – 2019
- 2018
- [c2]Takashi Matsubara, Ryosuke Tachibana, Kuniaki Uehara:
Anomaly Machine Component Detection by Deep Generative Model with Unregularized Score. IJCNN 2018: 1-8 - [i1]Takashi Matsubara, Ryosuke Tachibana, Kuniaki Uehara:
Anomaly Machine Component Detection by Deep Generative Model with Unregularized Score. CoRR abs/1807.05800 (2018) - 2016
- [c1]Ryosuke Tachibana, Takashi Matsubara, Kuniaki Uehara:
Semi-Supervised learning using adversarial networks. ICIS 2016: 1-6 - 2014
- [j1]Takemasa Yokoyama, Yasuki Noguchi, Hiroki Koga, Ryosuke Tachibana, Jun Saiki, Ryusuke Kakigi, Shinichi Kita:
Multiple neural mechanisms for coloring words in synesthesia. NeuroImage 94: 360-371 (2014)
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