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2020 – today
- 2024
[j4]Takayuki Hoshino
, Suguru Kanoga, Masashi Tsubaki, Atsushi Aoyama:
Comparison of fine-tuned single-source and multi-source approaches to surface electromyogram pattern recognition. Biomed. Signal Process. Control. 94: 106261 (2024)- 2022
- [j3]Takayuki Hoshino, Suguru Kanoga, Masashi Tsubaki, Atsushi Aoyama:
Comparing subject-to-subject transfer learning methods in surface electromyogram-based motion recognition with shallow and deep classifiers. Neurocomputing 489: 599-612 (2022) - 2020
- [j2]Shonosuke Harada, Hirotaka Akita, Masashi Tsubaki, Yukino Baba, Ichigaku Takigawa, Yoshihiro Yamanishi, Hisashi Kashima:
Dual graph convolutional neural network for predicting chemical networks. BMC Bioinform. 21-S(3): 94 (2020) - [c5]Takayuki Hoshino, Suguru Kanoga, Masashi Tsubaki, Atsushi Aoyama:
Analysis and Usage: Subject-to-subject Linear Domain Adaptation in sEMG Classification. EMBC 2020: 674-677 - [c4]Masashi Tsubaki, Teruyasu Mizoguchi:
On the equivalence of molecular graph convolution and molecular wave function with poor basis set. NeurIPS 2020 - [i4]Masashi Tsubaki, Teruyasu Mizoguchi:
Quantum deep field: data-driven wave function, electron density generation, and atomization energy prediction and extrapolation with machine learning. CoRR abs/2011.07923 (2020) - [i3]Masashi Tsubaki, Teruyasu Mizoguchi:
On the equivalence of molecular graph convolution and molecular wave function with poor basis set. CoRR abs/2011.07929 (2020)
2010 – 2019
- 2019
- [j1]Masashi Tsubaki, Kentaro Tomii, Jun Sese:
Compound-protein interaction prediction with end-to-end learning of neural networks for graphs and sequences. Bioinform. 35(2): 309-318 (2019) - 2018
- [c3]Tatsuro Kawamoto, Masashi Tsubaki, Tomoyuki Obuchi:
Mean-field theory of graph neural networks in graph partitioning. NeurIPS 2018: 4366-4376 - [i2]Shonosuke Harada, Hirotaka Akita, Masashi Tsubaki, Yukino Baba, Ichigaku Takigawa, Yoshihiro Yamanishi, Hisashi Kashima:
Dual Convolutional Neural Network for Graph of Graphs Link Prediction. CoRR abs/1810.02080 (2018) - [i1]Tatsuro Kawamoto, Masashi Tsubaki, Tomoyuki Obuchi:
Mean-field theory of graph neural networks in graph partitioning. CoRR abs/1810.11908 (2018) - 2016
- [c2]Masashi Tsubaki, Kevin Duh, Masashi Shimbo, Yuji Matsumoto:
Non-Linear Similarity Learning for Compositionality. AAAI 2016: 2828-2834 - 2013
- [c1]Masashi Tsubaki, Kevin Duh, Masashi Shimbo, Yuji Matsumoto:
Modeling and Learning Semantic Co-Compositionality through Prototype Projections and Neural Networks. EMNLP 2013: 130-140
Coauthor Index
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