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Last submissions
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Youcef Remil, Anes Bendimerad, Mathieu Chambard, Romain Mathonat, Marc Plantevit, et al.. Mining Java Memory Errors using Subjective Interesting Subgroups with Hierarchical Targets. IEEE International Conference on Data Mining Workshops (ICDM Workshops), IEEE, Dec 2023, Shanghai (Chine), China. ⟨hal-04224279⟩
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Felix Bölz, Diana Nurbakova, Sylvie Calabretto, Lionel Brunie, Armin Gerl, et al.. HUMMUS: A Linked, Healthiness-Aware, User-centered and Argument-Enabling Recipe Data Set for Recommendation. 17th ACM Conference on Recommender Systems (RECSYS23), Sep 2023, New York, NY, United States. ⟨10.1145/3604915.3609491⟩. ⟨hal-04220182⟩
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Tess Masclef, Mihaela Scuturici, Benjamin Bertin, Vincent Barrellon, Vasile-Marian Scuturici, et al.. A Deep Learning Approach for Painting Retrieval based on Genre Similarity. ICIAP 2023 2nd International Workshop on Artificial Intelligence for Digital Humanities, Sep 2023, Udine, Italy. ⟨hal-04222381⟩
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Lois Paulin, Nicolas Bonneel, David Coeurjolly, Jean-Claude Iehl, Antoine Webanck, et al.. SOT: Sliced-Optimal-Transport-Sampling. 2020, ⟨swh:1:dir:83db8609e600b6e827306c0249e8a6bf64c8137c;origin=https://github.com/loispaulin/Sliced-Optimal-Transport-Sampling;visit=swh:1:snp:11cc5d132fa0c6e14222008bb3ffa34b6126c8c9;anchor=swh:1:rev:e1a9aadabd0594291c0aa6131efc930c1f855102⟩. ⟨hal-04220284⟩
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