AIOLLI, FABIO

AIOLLI, FABIO  

Dipartimento di Matematica "Tullio Levi-Civita" - DM  

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Titolo Data di pubblicazione Autori Rivista Serie Titolo libro
Integrating L0 regularization into Multi-layer Logical Perceptron for Interpretable Classification 2025 Bergamin L.Aiolli F.Confalonieri R. + - CEUR WORKSHOP PROCEEDINGS CEUR Workshop Proceedings
Addressing Challenges in Image Translation for Contrast-Enhanced Mammography using Generative Advesarial Networks 2024 Bergamin L.Aiolli F. + - CEUR WORKSHOP PROCEEDINGS CEUR Workshop Proceedings
Mitigating Data Sparsity via Neuro-Symbolic Knowledge Transfer 2024 Carraro, TommasoAiolli, Fabio + - LECTURE NOTES IN COMPUTER SCIENCE Mitigating Data Sparsity via Neuro-Symbolic Knowledge Transfer
A systematic review of value-aware recommender systems 2023 De Biasio A.Montagna A.Aiolli F.Navarin N. EXPERT SYSTEMS WITH APPLICATIONS - -
Graph-based Explainable Recommendation Systems: Are We Rigorously Evaluating Explanations? A Position Paper 2023 Andrea MontagnaAlvise De BiasioNicolo' NavarinFabio Aiolli - CEUR WORKSHOP PROCEEDINGS CEUR Workshop Proceedings
Logic Tensor Networks for Top-N Recommendation 2023 Carraro, TAiolli, F + - LECTURE NOTES IN COMPUTER SCIENCE Logic Tensor Networks for Top-N Recommendation
Social Support and Help-Seeking Among Suicide Bereaved: A Study With Italian Survivors 2023 Lorenza EntilliDiego De LeoFabio AiolliMirko PolatoOmbretta GaggiSabrina Cipolletta OMEGA-JOURNAL OF DEATH AND DYING - -
An introduction to Deep Learning in Natural Language Processing: Models, techniques, and tools 2022 Lauriola I.Aiolli F. + NEUROCOMPUTING - -
Bayes Point Rule Set Learning 2022 Aiolli, FabioBergamin, LucaCarraro, Tommaso + - - Bayes Point Rule Set Learning
Conditioned Variational Autoencoder for Top-N Item Recommendation 2022 Carraro, TBergamin, LAiolli, F + - LECTURE NOTES IN COMPUTER SCIENCE Conditioned Variational Autoencoder for Top-N Item Recommendation
Logic Tensor Networks for Top-N Recommendation 2022 Tommaso CarraroFabio Aiolli + - - Logic Tensor Networks for Top-N Recommendation
Novel Applications for VAE-based Anomaly Detection Systems 2022 Bergamin, LCarraro, TAiolli, F + - PROCEEDINGS OF ... INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS Novel Applications for VAE-based Anomaly Detection Systems
PRL: A game theoretic large margin method for interpretable feature learning 2022 Faggioli G.Aiolli F. + NEUROCOMPUTING - -
Exploring the structure of BERT through Kernel Learning 2021 Lauriola I.Aiolli F. + - PROCEEDINGS OF ... INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS Proceedings of the International Joint Conference on Neural Networks
Learning adaptive representations for entity recognition in the biomedical domain 2021 Lauriola I.Aiolli F. + JOURNAL OF BIOMEDICAL SEMANTICS - -
On the feasibility of crawling-based attacks against recommender systems 2021 Aiolli, FabioConti, MauroPicek, StjepanPolato, Mirko JOURNAL OF COMPUTER SECURITY - -
Propositional kernels 2021 Aiolli F. + ENTROPY - -
Using Rule-based system analysis to investigate social support and help-seeking among Italian suicide bereaved 2021 Lorenza EntilliDiego De LeoFabio AiolliMirko PolatoOmbretta GaggiSabrina Cipolletta - - 31st World Congress Gold Coast 2021 Abstract Book
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 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