Masashi Tsubaki

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 12

Top Topics

Prolate Spheroidal

Graph Partitioning

Top Venues

Publications

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 (2024)
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 (2022)
Masashi Tsubaki, Teruyasu Mizoguchi
Quantum deep field: data-driven wave function, electron density generation, and atomization energy prediction and extrapolation with machine learning. CoRR (2020)
Masashi Tsubaki, Teruyasu Mizoguchi
On the equivalence of molecular graph convolution and molecular wave function with poor basis set. CoRR (2020)
Masashi Tsubaki, Teruyasu Mizoguchi
On the equivalence of molecular graph convolution and molecular wave function with poor basis set. NeurIPS (2020)
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. (3) (2020)
Takayuki Hoshino, Suguru Kanoga, Masashi Tsubaki, Atsushi Aoyama
Analysis and Usage: Subject-to-subject Linear Domain Adaptation in sEMG Classification. EMBC (2020)
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) (2019)
Tatsuro Kawamoto, Masashi Tsubaki, Tomoyuki Obuchi
Mean-field theory of graph neural networks in graph partitioning. CoRR (2018)
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 (2018)
Tatsuro Kawamoto, Masashi Tsubaki, Tomoyuki Obuchi
Mean-field theory of graph neural networks in graph partitioning. NeurIPS (2018)
Masashi Tsubaki, Kevin Duh, Masashi Shimbo, Yuji Matsumoto
Non-Linear Similarity Learning for Compositionality. AAAI (2016)
Masashi Tsubaki, Kevin Duh, Masashi Shimbo, Yuji Matsumoto
Modeling and Learning Semantic Co-Compositionality through Prototype Projections and Neural Networks. EMNLP (2013)