Author of the publication

Interpretable Preference Learning: A Game Theoretic Framework for Large Margin On-Line Feature and Rule Learning.

, and . AAAI, page 4723-4730. AAAI Press, (2019)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Interpretable preference learning: a game theoretic framework for large margin on-line feature and rule learning., and . CoRR, (2018)Boolean kernels for collaborative filtering in top-N item recommendation., and . Neurocomputing, (2018)Dissociation Between Users' Explicit and Implicit Attitudes Toward Artificial Intelligence: An Experimental Study., , , , and . IEEE Trans. Hum. Mach. Syst., 52 (3): 481-489 (2022)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)A Novel Boolean Kernels Family for Categorical Data., , and . Entropy, 20 (6): 444 (2018)Boosting the Federation: Cross-Silo Federated Learning without Gradient Descent., , and . IJCNN, page 1-10. IEEE, (2022)Recency Aware Collaborative Filtering for Next Basket Recommendation., , and . UMAP, page 80-87. ACM, (2020)Efficient Similarity Based Methods For The Playlist Continuation Task., , and . RecSys Challenge, page 15:1-15:6. ACM, (2018)Classification of Categorical Data in the Feature Space of Monotone DNFs., , and . ICANN (2), volume 10614 of Lecture Notes in Computer Science, page 279-286. Springer, (2017)