慶應義塾大学

フィンガープリント

慶應義塾大学が活動している研究トピックを掘り下げます。これらのトピックラベルは、この組織のメンバーの研究成果に基づきます。これらがまとまってユニークなフィンガープリントを構成します。

Comparative Analysis of Hybrid Deep Learning Approaches to Class Imbalance Across Image, and Text Modalities
Maume, P. & Nakazawa, J., 2027, Machine Learning and Soft Computing - 10th International Conference, ICMLSC 2026, Revised Selected Papers. Xu, C. (ed.). Springer Science and Business Media Deutschland GmbH, p. 282-297 16 p. (Communications in Computer and Information Science; vol. 2948 CCIS).
研究成果: Conference contribution
Do Diagrams Help Large Language Models Reason? Evidence from Syllogistic Reasoning
Ando, R. & Mineshima, K., 2027, Diagrammatic Representation and Inference - 15th International Conference, Diagrams 2026, Proceedings. Sobocinski, P., Bellucci, F., Moktefi, A., Beisecker, D., Shimojima, A., de Vries, E. & Bhattacharjee, R. (eds.). Springer Science and Business Media Deutschland GmbH, p. 284-292 9 p. (Lecture Notes in Computer Science; vol. 16833 LNCS).
研究成果: Conference contribution
Evaluation of Computer-aided Detection for Identifying Missed Gastric Cancer After Endoscopic Submucosal Dissection
Minamide, T., Sato, T., Sakaguchi, S., Kawata, N., Maeda, Y., Yoshida, M., Yamamoto, Y., Okumura, T., Suwa, T., Ashizawa, H., Shigeta, K., Nakamura, H., Notsu, A., Uraoka, T. & Ono, H., 2027 4月, In: DEN Open. 7, 1, e70357.
研究成果: Article › 査読

Open Access