POLATO, MIRKO

POLATO, MIRKO  

Dipartimento di Psicologia Generale - DPG  

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Titolo Data di pubblicazione Autori Rivista Serie Titolo libro
A game-theoretic framework for interpretable preference and feature learning 2018 Polato, MirkoAiolli, Fabio - LECTURE NOTES IN ARTIFICIAL INTELLIGENCE Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
A Look Inside the Black-Box: Towards the Interpretability of Conditioned Variational Autoencoder for Collaborative Filtering 2020 Carraro T.Polato M.Aiolli F. - - UMAP 2020 Adjunct - Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization
A novel Boolean kernels family for categorical data 2018 Polato, MirkoLauriola, IvanoAiolli, Fabio ENTROPY - -
A Preference-Learning Framework for Modeling Relational Data 2020 Lauriola, IvanoPolato, MirkoFaggioli, GuglielmoAiolli, Fabio - PROCEEDINGS OF THE INTERNATIONAL NEURAL NETWORKS SOCIETY Recent Advances in Big Data and Deep Learning
A preliminary study on a recommender system for the job recommendation challenge 2016 POLATO, MIRKOAIOLLI, FABIO - - RecSys Challenge '16 Proceedings of the Recommender Systems Challenge
Big enough to care not enough to scare! crawling to attack recommender systems 2020 Aiolli F.Conti M.Picek S.Polato M. - LECTURE NOTES IN ARTIFICIAL INTELLIGENCE Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Boolean kernels for collaborative filtering in top-N item recommendation 2018 POLATO, MIRKOAiolli, Fabio NEUROCOMPUTING - -
Boolean kernels for interpretable kernel machines 2018 Mirko PolatoFabio Aiolli - - Preceedings of the 26th European Symposium on Artificial Neural Networks (ESANN)
Boolean kernels for rule based interpretation of support vector machines 2019 Polato, MirkoAiolli, Fabio NEUROCOMPUTING - -
Classification of categorical data in the feature space of monotone DNFs 2017 Polato, MirkoLAURIOLA, IVANOAiolli, Fabio LECTURE NOTES IN COMPUTER SCIENCE - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Data-aware remaining time prediction of business process instances 2014 POLATO, MIRKOSPERDUTI, ALESSANDROBURATTIN, ANDREAMassimiliano de Leoni - - 2014 International Joint Conference on Neural Networks, IJCNN 2014
Definition and learning of logic-based kernels for categorical data, and application to collaborative filtering 2018 Polato, Mirko - - -
Disjunctive Boolean Kernel based Collaborative Filtering for top-N item recommendation 2017 Polato, MirkoAiolli, Fabio CEUR WORKSHOP PROCEEDINGS - CEUR Workshop Proceedings
Efficient similarity based methods for the playlist continuation task 2018 FAGGIOLI, GUGLIELMOPolato, MirkoAiolli, Fabio - - ACM International Conference Proceeding Series
Evaluation of Tag Clusterings for User Profiling in Movie Recommendation 2019 Faggioli G.Polato M.Lauriola I.Aiolli F. - LECTURE NOTES IN ARTIFICIAL INTELLIGENCE Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Exploiting sparsity to build efficient kernel based collaborative filtering for top-N item recommendation 2017 POLATO, MIRKOAIOLLI, FABIO NEUROCOMPUTING - -
Interpretable Preference Learning: A Game Theoretic Framework for Large Margin On-Line Feature and Rule Learning 2019 Polato, MirkoAiolli, Fabio - - Preceedings of the AAAI Conference on Artificial Intelligence
Kernel based collaborative filtering for very large scale top-N item recommendation 2016 POLATO, MIRKOAIOLLI, FABIO - - ESANN 2016 - 24th European Symposium on Artificial Neural Networks
Learning deep kernels in the space of monotone conjunctive polynomials 2020 Lauriola I.Polato M.Aiolli F. PATTERN RECOGNITION LETTERS - -
Learning preferences for large scale multi-label problems 2018 Lauriola, IvanoPolato, MirkoAiolli, Fabio + LECTURE NOTES IN ARTIFICIAL INTELLIGENCE - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)