Publications
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2025.11.02
On the Correctness of Software Merge (ASE2025) On the Correctness of Software Merge
2025年11月に韓国で開催される国際会議 The 40th IEEE/ACM International Conference on Automated Software Engineering の研究論文トラックにお... -
2025.04.17
A machine learning model for predicting fertilization following short-term insemination using embryo images (Reproductive medicine and biology) A machine learning model for predicting fertilization following short-term insemination using embryo images (Reproductive medicine and biology)
Masato Saito, Hirofumi Haraguchi, Ikumi Nakajima, Shinya Fukuda, Chenghua Zhu, Norio Masuya, Kazunori Matsumot... -
2025.04.10
Disentangling Likes and Dislikes in Personalized Generative Explainable Recommendation (WWW2025) Disentangling Likes and Dislikes in Personalized Generative Explainable Recommendation (WWW2025)
Ryotaro Shimizu, Takashi Wada, Yu Wang, Johannes Kruse, Sean O’Brien, Sai HtaungKham, Linxin Song, Yuya ... -
2024.09.03
Using Benchmarking and Regression Models for Predicting CNN Training Time on a GPU Using Benchmarking and Regression Models for Predicting CNN Training Time on a GPU
Convolutional neural network (CNN) training typically demands substantial time, expensive computational resour... -
2024.06.01
Instance AttributionとFeature Attributionの一貫性制約を満たす集合関数の局所説明法 (JSAI2024) Local Explanations With Consistency Constraints Between Instance and Feature Attributions for Set Functions (JSAI2024)
吉川 友也, 木村 正成（ZOZO Research）, 清水 良太郎（ZOZO Research）, 斎藤 侑輝（ZOZO Research）, “Instance AttributionとFeature ... -
2024.03.21
Explanation-based Training with Differentiable Insertion/Deletion Metric-aware Regularizers (AISTATS2024) Explanation-based Training with Differentiable Insertion/Deletion Metric-aware Regularizers (AISTATS2024)
Yuya Yoshikawa, Tomoharu Iwata, “Explanation-Based Training with Differentiable Insertion/Deletion Metric-Awar... -
2024.02.28
Rethinking Loss Functions for Fact Verification (EACL) Rethinking Loss Functions for Fact Verification (EACL)
Yuta Mukobara*, Yutaro Shigeto**, and Masashi Shimbo. Rethinking Loss Functions for Fact Verification. The 18t... -
2023.08.20
Action class relation detection and classification across multiple video datasets (Pattern Recognition Letters) Action class relation detection and classification across multiple video datasets (Pattern Recognition Letters)
Yuya Yoshikawa, Yutaro Shigeto, Masashi Shimbo, Akikazu Takeuchi, “Action class relation detection and classif... -
2023.07.13
Phylogenetic Analysis of Reticulate Software Evolution (MSR2023) Phylogenetic Analysis of Reticulate Software Evolution (MSR2023)
In this paper, we apply techniques from phylogenetics for uncovering evolutionary dependencies among software ...AST differencingphylogenetic networksoftware product linesoftware evolution
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2023.07.01
Extending a Call-by-Value Calculus Based on Bilateralism with Dynamic Binding Extending a Call-by-Value Calculus Based on Bilateralism with Dynamic Binding
Tatsuya Abe and Daisuke Kimura. Extending a Call-by-Value Calculus Based on Bilateralism with Dynamic Binding....dynamic bindingbilateralismlambda-calculusdelimited continuation