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Entropy (Basel, Switzerland)|August 27, 2021
Occlusion-Based Explanations in Deep Recurrent Models for Biomedical SignalsMichele Resta, Anna Monreale, Davide BacciuIEEE Transactions on Neural Networks|November 13, 2008
Competitive repetition suppression (CoRe) clustering: a biologically inspired learning model with application to robust clusteringDavide Bacciu, Antonina StaritaIEEE Transactions on Neural Networks and Learning Systems|April 21, 2022
Explaining Deep Graph Networks via Input PerturbationDavide Bacciu, Danilo NumerosoIEEE Transactions on Neural Networks and Learning Systems|March 21, 2019
Augmenting Recurrent Neural Networks Resilience by DropoutDavide Bacciu, Francesco CrecchiIEEE Transactions on Neural Networks and Learning Systems|April 3, 2024
Deep Learning for Dynamic Graphs: Models and BenchmarksAlessio Gravina, Davide BacciuIEEE Transactions on Neural Networks and Learning Systems|May 9, 2014
Compositional generative mapping for tree-structured data--part I: bottom-up probabilistic modeling of treesDavide Bacciu, Alessio Micheli, Alessandro SperdutiArtificial Intelligence in Medicine|March 8, 2020
Measuring the effects of confounders in medical supervised classification problems: the Confounding Index (CI)Elisa Ferrari, Alessandra Retico, Davide BacciuArtificial Intelligence in Medicine|June 3, 2025
ECG synthesis for cardiac arrhythmias: Integrating self-supervised learning and generative adversarial networksLorenzo Simone, Davide Bacciu, Vincenzo GervasiIEEE Transactions on Neural Networks and Learning Systems|July 12, 2018
Generative Kernels for Tree-Structured DataDavide Bacciu, Alessio Micheli, Alessandro SperdutiIEEE Transactions on Neural Networks and Learning Systems|May 13, 2022
Modeling Mood Polarity and Declaration Occurrence by Neural Temporal Point ProcessesDavide Bacciu, Davide Morelli, Vlad PandeleaPageof 3