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ORCIDYuto Matsunaga
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2020 – today
- 2024
[c5]Yuto Matsunaga, Satoru Momiyama, Batnyam Enkhtaivan, Taiki Miyagawa, Isamu Teranishi:
ConvFL: Efficient Federated Learning of Heterogeneous Model Structures with Converters. SmartIoT 2024: 173-180- [i1]Hideyuki Oiso, Yuto Matsunaga, Kazuya Kakizaki, Taiki Miyagawa:
Prompt Tuning for Audio Deepfake Detection: Computationally Efficient Test-time Domain Adaptation with Limited Target Dataset. CoRR abs/2410.09869 (2024) - 2021
- [c4]Yuto Matsunaga, Naofumi Aoki, Yoshinori Dobashi, Tetsuya Kojima:
Distortion based Watermark Extraction Technique Using 1D CNN. ICAIIC 2021: 31-35 - 2020
- [c3]Yuto Matsunaga, Naofumi Aoki, Yoshinori Dobashi, Tetsuya Kojima:
A Black Box Modeling Technique for Distortion Stomp Boxes Using LSTM Neural Networks. ICAIIC 2020: 653-656
2010 – 2019
- 2019
- [j1]Yuto Matsunaga, Tetsuya Kojima
, Naofumi Aoki, Yoshinori Dobashi, Tsuyoshi Yamamoto:
Some Evaluations on a Digital Watermarking Technique for Music Data Using Distortion Effect. IEICE Trans. Inf. Syst. 102-D(6): 1119-1125 (2019) - 2018
- [c2]Yuto Matsunaga, Naofumi Aoki, Yoshinori Dobashi, Tsuyoshi Yamamoto:
A Digital Modeling Technique for Distortion Effect Based on a Machine Learning Approach. APSIPA 2018: 1888-1892 - 2017
- [c1]Yuto Matsunaga, Tetsuya Kojima, Naofumi Aoki, Yoshinori Dobashi, Tsuyoshi Yamamoto:
A study on a digital watermarking technique for music data using distortion effect. IWSDA 2017: 131-134
Coauthor Index
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