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Experimenting with Emerging ARM and RISC-V Systems for Decentralised Machine Learning., , , , , , , , , and 3 other author(s). CoRR, (2023)A Game-Theoretic Framework for Interpretable Preference and Feature Learning., and . ICANN (1), volume 11139 of Lecture Notes in Computer Science, page 659-668. Springer, (2018)Playing the Large Margin Preference Game., , , and . ICANN (2), volume 11728 of Lecture Notes in Computer Science, page 792-804. Springer, (2019)Bayes Point Rule Set Learning., , , and . ESANN, (2022)Kernel based collaborative filtering for very large scale top-N item recommendation., and . ESANN, (2016)Conditioned Variational Autoencoder for Top-N Item Recommendation., , , and . ICANN (2), volume 13530 of Lecture Notes in Computer Science, page 785-796. Springer, (2022)Boosting the Federation: Cross-Silo Federated Learning without Gradient Descent., , and . IJCNN, page 1-10. IEEE, (2022)A Novel Boolean Kernels Family for Categorical Data., , and . Entropy, 20 (6): 444 (2018)Tag-Based User Profiling: A Game Theoretic Approach., , and . UMAP (Adjunct Publication), page 267-271. ACM, (2019)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)