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Collaborations and top research areas from the last five years
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Analysis of nailfold capillaroscopy images with artificial intelligence: Data from literature and performance of machine learning and deep learning from images acquired in the SCLEROCAP study
Ozturk, L., Laclau, C., Boulon, C., Mangin, M., Braz-ma, E., Constans, J., Dari, L. & Le Hello, C., 1 Jan 2025, In: Microvascular Research. 157, 104753.Research output: Contribution to journal › Article › peer-review
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Decoding the Hierarchy: A Hybrid Approach to Hierarchical Multi-label Text Classification
Torba, F., Gravier, C., Laclau, C., Kammoun, A. & Subercaze, J., 1 Jan 2025, Advances in Information Retrieval - 47th European Conference on Information Retrieval, ECIR 2025, Proceedings. Hauff, C., Macdonald, C., Jannach, D., Kazai, G., Nardini, F. M., Pinelli, F., Silvestri, F. & Tonellotto, N. (eds.). Springer Science and Business Media Deutschland GmbH, p. 405-420 16 p. (Lecture Notes in Computer Science; vol. 15572 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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From Alexnet to Transformers: Measuring the Non-linearity of Deep Neural Networks with Affine Optimal Transport
Bouniot, Q., Redko, I., Mallasto, A., Laclau, C., Struckmeier, O., Arndt, K., Heinonen, M., Kyrki, V. & Kaski, S., 1 Jan 2025, In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. p. 25250-25260 11 p.Research output: Contribution to journal › Conference article › peer-review
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HISTOIRESMORALES: A French Dataset for Assessing Moral Alignment
Leteno, T., Proskurina, I., Gourru, A., Velcin, J., Laclau, C., Metzler, G. & Gravier, C., 1 Jan 2025, Long Papers. Chiruzzo, L., Ritter, A. & Wang, L. (eds.). Association for Computational Linguistics (ACL), p. 2590-2612 23 p. (Proceedings of the 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies: Long Papers, NAACL-HLT 2025; vol. 1).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
Modeling Musical Genre Trajectories through Pathlet Learning
Marey, L., Laclau, C., Sguerra, B., Viard, T. & Moussallam, M., 12 Jun 2025, UMAP 2025 - Adjunct Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery, Inc, p. 202-210 9 p. (UMAP 2025 - Adjunct Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
SimHawNet: a modified Hawkes process for temporal network simulation
Perez, M., Romero, R., Kang, B., De Bie, T., Lijffijt, J. & Laclau, C., 1 Sept 2025, In: Data Mining and Knowledge Discovery. 39, 5, 48.Research output: Contribution to journal › Article › peer-review
Open Access -
Any2Graph: Deep End-To-End Supervised Graph Prediction With An Optimal Transport Loss
Krzakala, P., Yang, J., Flamary, R., d'Alché-Buc, F., Laclau, C. & Labeau, M., 1 Jan 2024, In: Advances in Neural Information Processing Systems. 37Research output: Contribution to journal › Conference article › peer-review
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A Study on Hierarchical Text Classification as a Seq2seq Task
Torba, F., Gravier, C., Laclau, C., Kammoun, A. & Subercaze, J., 1 Jan 2024, Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Proceedings. Goharian, N., Tonellotto, N., He, Y., Lipani, A., McDonald, G., Macdonald, C. & Ounis, I. (eds.). Springer Science and Business Media Deutschland GmbH, p. 287-296 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14610 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
Mixture of segmentation for heterogeneous functional data
Brault, V., Devijver, É. & Laclau, C., 1 Jan 2024, In: Electronic Journal of Statistics. 18, 2, p. 3729-3773 45 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Reconstructing the Unseen: GRIOT for Attributed Graph Imputation with Optimal Transport
Serrano, R., Laclau, C., Jeudy, B. & Largeron, C., 1 Jan 2024, Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2024, Proceedings. Bifet, A., Davis, J., Krilavičius, T., Kull, M., Ntoutsi, E. & Žliobaitė, I. (eds.). Springer Science and Business Media Deutschland GmbH, p. 269-286 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14946 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access