AIOLLI, FABIO

AIOLLI, FABIO  

Dipartimento di Matematica "Tullio Levi-Civita" - DM  

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Titolo Data di pubblicazione Autori Rivista Serie Titolo libro
(Sometimes) Less is More: Mitigating the Complexity of Rule-based Representation for Interpretable Classification 2025 Bergamin, LucaConfalonieri, RobertoAiolli, Fabio - - (Sometimes) Less is More: Mitigating the Complexity of Rule-based Representation for Interpretable Classification
An investigation into creating counterfactual examples for non-linear Support Vector Machines 2025 Bergamin, LucaAiolli, Fabio NEUROCOMPUTING - -
Improving rule-based classifiers by Bayes point aggregation 2025 Bergamin, LucaAiolli, Fabio + NEUROCOMPUTING - -
Integrating Background Knowledge in Medical Semantic Segmentation with Logic Tensor Networks 2025 Bergamin, LucaAiolli, Fabio + - - Integrating Background Knowledge in Medical Semantic Segmentation Models with Logic Tensor Network
Integrating L0 regularization into Multi-layer Logical Perceptron for Interpretable Classification 2025 Bergamin L.Aiolli F.Confalonieri R. + - CEUR WORKSHOP PROCEEDINGS CEUR Workshop Proceedings
Radiomic approach to support multidisciplinary tumor board decision-making in locally advanced non-small cell lung cancer 2025 Pasello, GiuliaAiolli, FabioSchiavon, MarcoKrengli, MarcoGuarneri, Valentina + FRONTIERS IN ONCOLOGY - -
RadiomiX for Radiomics Analysis: Automated Approaches to Overcome Challenges in Replicability 2025 Bergamin, LucaAiolli, FabioPasello, Giulia + DIAGNOSTICS - -
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