Masashi Tsubaki

13 papers A* 4Journal 8Unranked 1
YearRankTypeTitle / Venue / Authors
2024 J jnl
Comparison of fine-tuned single-source and multi-source approaches to surface electromyogram pattern recognition.
Biomed. Signal Process. Control.
Takayuki Hoshino, Suguru Kanoga, Masashi Tsubaki, Atsushi Aoyama
2022 J jnl
Comparing subject-to-subject transfer learning methods in surface electromyogram-based motion recognition with shallow and deep classifiers.
Neurocomputing
Takayuki Hoshino, Suguru Kanoga, Masashi Tsubaki, Atsushi Aoyama
2020 — conf
Analysis and Usage: Subject-to-subject Linear Domain Adaptation in sEMG Classification.
EMBC
Takayuki Hoshino, Suguru Kanoga, Masashi Tsubaki, Atsushi Aoyama
2020 J jnl
Dual graph convolutional neural network for predicting chemical networks.
BMC Bioinform.
Shonosuke Harada, Hirotaka Akita, Masashi Tsubaki, Yukino Baba, Ichigaku Takigawa, Yoshihiro Yamanishi, Hisashi Kashima
2020 A* conf
On the equivalence of molecular graph convolution and molecular wave function with poor basis set.
NeurIPS
Masashi Tsubaki, Teruyasu Mizoguchi
2020 J jnl
On the equivalence of molecular graph convolution and molecular wave function with poor basis set.
CoRR
Masashi Tsubaki, Teruyasu Mizoguchi
2020 J jnl
Quantum deep field: data-driven wave function, electron density generation, and atomization energy prediction and extrapolation with machine learning.
CoRR
Masashi Tsubaki, Teruyasu Mizoguchi
2019 J jnl
Compound-protein interaction prediction with end-to-end learning of neural networks for graphs and sequences.
Bioinform.
Masashi Tsubaki, Kentaro Tomii, Jun Sese
2018 J jnl
Dual Convolutional Neural Network for Graph of Graphs Link Prediction.
CoRR
Shonosuke Harada, Hirotaka Akita, Masashi Tsubaki, Yukino Baba, Ichigaku Takigawa, Yoshihiro Yamanishi, Hisashi Kashima
2018 A* conf
Mean-field theory of graph neural networks in graph partitioning.
NeurIPS
Tatsuro Kawamoto, Masashi Tsubaki, Tomoyuki Obuchi
2018 J jnl
Mean-field theory of graph neural networks in graph partitioning.
CoRR
Tatsuro Kawamoto, Masashi Tsubaki, Tomoyuki Obuchi
2016 A* conf
Non-Linear Similarity Learning for Compositionality.
AAAI
Masashi Tsubaki, Kevin Duh, Masashi Shimbo, Yuji Matsumoto
2013 A* conf
Modeling and Learning Semantic Co-Compositionality through Prototype Projections and Neural Networks.
EMNLP
Masashi Tsubaki, Kevin Duh, Masashi Shimbo, Yuji Matsumoto