Calculated based on number of publications stored in Pure and citations from Scopus
20032025

Research activity per year

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Dive into the research topics where Minho Lee is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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  • Benchmarking Federated Few-shot Learning for Video-based Action Recognition

    Tu, N. A., Aikyn, N., Makhanov, N., Abu, A., Wong, K. S. & Lee, M. H., 2024, (Accepted/In press) In: IEEE Access. 3519254.

    Research output: Contribution to journalArticlepeer-review

    Open Access
  • EAV: EEG-Audio-Video Dataset for Emotion Recognition in Conversational Contexts

    Lee, M. H., Shomanov, A., Begim, B., Kabidenova, Z., Nyssanbay, A., Yazici, A. & Lee, S. W., Dec 2024, In: Scientific Data. 11, 1, 1026.

    Research output: Contribution to journalArticlepeer-review

    Open Access
    3 Citations (Scopus)
  • FedFSLAR: A Federated Learning Framework for Few-shot Action Recognition

    Tu, N. A., Abu, A., Aikyn, N., Makhanov, N., Lee, M. H., Le-Huy, K. & Wong, K. S., 2024, Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision Workshops, WACVW 2024. Institute of Electrical and Electronics Engineers Inc., p. 270-279 10 p. (Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision Workshops, WACVW 2024).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    8 Citations (Scopus)
  • ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain

    Bernárdez, G., Telyatnikov, L., Montagna, M., Baccini, F., Papillon, M., Ferriol-Galmés, M., Hajij, M., Papamarkou, T., Bucarelli, M. S., Zaghen, O., Mathe, J., Myers, A., Mahan, S., Lillemark, H., Vadgama, S., Bekkers, E., Doster, T., Emerson, T., Kvinge, H. & Agate, K. & 53 others, Ahmed, N. K., Bai, P., Banf, M., Battiloro, C., Beketov, M., Bogdan, P., Carrasco, M., Cavallo, A., Choi, Y. Y., Dasoulas, G., Elphick, M., Escalona, G., Filipiak, D., Fritze, H., Gebhart, T., Gil-Sorribes, M., Goomanee, S., Guallar, V., Imasheva, L., Irimia, A., Jin, H., Johnson, G., Kanakaris, N., Koloski, B., Kovač, V., Lecha, M., Lee, M., Leroy, P., Long, T., Magai, G., Martinez, A., Masden, M., Mežnar, S., Miquel-Oliver, B., Molina, A., Nikitin, A., Nurisso, M., Piekenbrock, M., Qin, Y., Rygiel, P., Salatiello, A., Schattauer, M., Snopov, P., Suk, J., Sánchez, V., Tec, M., Vaccarino, F., Verhellen, J., Wantiez, F., Weers, A., Zajec, P., Škrlj, B. & Miolane, N., 2024, In: Proceedings of Machine Learning Research. 251, p. 420-428 9 p.

    Research output: Contribution to journalConference articlepeer-review

  • Multi-Document Question Answering with Lightweight Embeddings-based Document Reranker

    Aitymbetov, N., Lee, M. H. & Tu, N. A., 2024, Proceedings - 2024 International Conference on Advanced Technologies for Communications, ATC 2024. Bao, V. N. Q. & Anh, D. T. (eds.). IEEE Computer Society, p. 707-712 6 p. (International Conference on Advanced Technologies for Communications).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution