AIOLLI, FABIO

AIOLLI, FABIO  

Dipartimento di Matematica "Tullio Levi-Civita" - DM  

Mostra records
Risultati 1 - 20 di 112 (tempo di esecuzione: 0.04 secondi).
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
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
Learning adaptive representations for entity recognition in the biomedical domain 2021 Lauriola I.Aiolli F. + JOURNAL OF BIOMEDICAL SEMANTICS - -