POLATO, Mirko

POLATO, Mirko  

INFORMATICA  

Mostra records
Risultati 1 - 20 di 51 (tempo di esecuzione: 0.027 secondi).
Titolo Data di pubblicazione Autore(i) File
1st Workshop on Federated Learning Technologies 2023 Polato M.; Esposito R.; Riviera W.; Xu Z.; King I.
A game-theoretic framework for interpretable preference and feature learning 2018 Polato, Mirko; Aiolli, Fabio
A Look Inside the Black-Box: Towards the Interpretability of Conditioned Variational Autoencoder for Collaborative Filtering 2020 Carraro T.; Polato M.; Aiolli F.
A novel Boolean kernels family for categorical data 2018 Polato, Mirko; Lauriola, Ivano; Aiolli, Fabio
A Preference-Learning Framework for Modeling Relational Data 2020 Lauriola, Ivano; Polato, Mirko; Faggioli, Guglielmo; Aiolli, Fabio
A preliminary study on a recommender system for the job recommendation challenge 2016 POLATO, MIRKO; AIOLLI, FABIO
A Survey on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guide 2024 Kim S.; Lee S.Y.; Gao Y.; Antelmi A.; Polato M.; Shin K.
A Survey on Hypergraph Representation Learning 2023 Antelmi, Alessia; Cordasco, Gennaro; Polato, Mirko; Scarano, Vittorio; Spagnuolo, Carmine; Yang, Dingqi
Bayes Point Rule Set Learning 2022 Fabio Aiolli, Luca Bergamin, Tommaso Carraro, Mirko Polato
Big enough to care not enough to scare! crawling to attack recommender systems 2020 Aiolli F.; Conti M.; Picek S.; Polato M.
Boolean kernels for collaborative filtering in top-N item recommendation 2018 POLATO, MIRKO; Aiolli, Fabio
Boolean kernels for interpretable kernel machines 2018 Mirko Polato; Fabio Aiolli
Boolean kernels for rule based interpretation of support vector machines 2019 Polato, Mirko; Aiolli, Fabio
Boosting Methods for Federated Learning 2023 Roberto Esposito, Mirko Polato, Marco Aldinucci
Boosting the Federation: Cross-Silo Federated Learning without Gradient Descent 2022 Mirko Polato, Roberto Esposito, Marco Aldinucci
Classification of categorical data in the feature space of monotone DNFs 2017 Polato, Mirko; LAURIOLA, IVANO; Aiolli, Fabio
Conditioned Variational Autoencoder for Top-N Item Recommendation 2022 Carraro, T; Polato, M; Bergamin, L; Aiolli, F
Data-aware remaining time prediction of business process instances 2014 POLATO, MIRKO; SPERDUTI, ALESSANDRO; BURATTIN, ANDREA; Massimiliano de Leoni
Disjunctive Boolean Kernel based Collaborative Filtering for top-N item recommendation 2017 Polato, Mirko; Aiolli, Fabio
Dissociation Between Users’ Explicit and Implicit Attitudes Toward Artificial Intelligence: An Experimental Study 2021 Fietta V.; Zecchinato F.; Stasi B.D.; Polato M.; Monaro M.