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of 117
pro vyhledávání: '"KUBO, TAKATOMI"'
Graphs are a highly expressive data structure, but it is often difficult for humans to find patterns from a complex graph. Hence, generating human-interpretable sequences from graphs have gained interest, called graph2seq learning. It is expected tha
Externí odkaz:
http://arxiv.org/abs/2201.12178
Publikováno v:
Neural Netw. 145 (2022) 356-373
Graph neural networks (GNNs) have been widely used to learn vector representation of graph-structured data and achieved better task performance than conventional methods. The foundation of GNNs is the message passing procedure, which propagates the i
Externí odkaz:
http://arxiv.org/abs/2103.01488
Autor:
Fujiwara, Koichi, Ota, Koshi, Saeda, Shota, Yamakawa, Toshitaka, Kubo, Takatomi, Yamamoto, Aozora, Maruno, Yuki, Kano, Manabu
Publikováno v:
In Biomedical Signal Processing and Control January 2024 87 Part A
An automatic mouse behavior recognition system can considerably reduce the workload of experimenters and facilitate the analysis process. Typically, supervised approaches, unsupervised approaches and semi-supervised approaches are applied for behavio
Externí odkaz:
http://arxiv.org/abs/1911.10806
In the prospect of ecology and biology, studying insect-plant predation will considerably contribute to pest control, benefit agriculture and afforestation, and also help people to better understand insect-plant co-evolution. Therefore, we are motiva
Externí odkaz:
http://arxiv.org/abs/1911.10725
Publikováno v:
The 24th International Conference on Neural Information Processing, 2017
The relationship among three correlated variables could be very sophisticated, as a result, we may not be able to find their hidden causality and model their relationship explicitly. However, we still can make our best guess for possible mappings amo
Externí odkaz:
http://arxiv.org/abs/1910.13523
Autor:
Itoh, Takeshi D., Kubo, Takatomi, Ikeda, Kiyoka, Maruno, Yuki, Ikutani, Yoshiharu, Hata, Hideaki, Matsumoto, Kenichi, Ikeda, Kazushi
Publikováno v:
APSIPA ASC (2019)
Program comprehension is a dominant process in software development and maintenance. Experts are considered to comprehend the source code efficiently by directing their gaze, or attention, to important components in it. However, reflecting the import
Externí odkaz:
http://arxiv.org/abs/1907.06182
Expert programmers' eye-movements during source code reading are valuable sources that are considered to be associated with their domain expertise. We advocate a vision of new intelligent systems incorporating expertise of experts for software develo
Externí odkaz:
http://arxiv.org/abs/1903.06320
Akademický článek
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Autor:
Oka, Taiki, Kubo, Takatomi, Kobayashi, Nao, Murakami, Misa, Chiba, Toshinori, Cortese, Aurelio
Publikováno v:
Philosophical Transactions of the Royal Society B: Biological Sciences; 12/2/2024, Vol. 379 Issue 1915, p1-15, 15p