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Learning Preferences for Large Scale Multi-label Problems., , , , and . ICANN (1), volume 11139 of Lecture Notes in Computer Science, page 546-555. Springer, (2018)Privacy-Preserving Kernel Computation For Vertically Partitioned Data., , and . ESANN, (2021)Disjunctive Boolean Kernels-based Collaborative Filtering for top-N Item Recommendation., and . IIR, volume 1911 of CEUR Workshop Proceedings, page 97-100. CEUR-WS.org, (2017)A Survey on Hypergraph Representation Learning, , , , , and . ACM Comput. Surv., (August 2023)Interpretable Preference Learning: A Game Theoretic Framework for Large Margin On-Line Feature and Rule Learning., and . AAAI, page 4723-4730. AAAI Press, (2019)Novel Applications for VAE-based Anomaly Detection Systems., , , and . IJCNN, page 1-8. IEEE, (2022)A Survey on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guide., , , , , and . CoRR, (2024)Radius-Margin Ratio Optimization for Dot-Product Boolean Kernel Learning., , and . ICANN (2), volume 10614 of Lecture Notes in Computer Science, page 183-191. Springer, (2017)Tag-Based User Profiling: A Game Theoretic Approach., , and . UMAP (Adjunct Publication), page 267-271. ACM, (2019)A Novel Boolean Kernels Family for Categorical Data., , and . Entropy, 20 (6): 444 (2018)