Publications by authors named "Davide Bacciu"

Claim this Profile
E
ECG synthesis for cardiac arrhythmias: Integrating self-supervised learning and generative adversarial networks.
Lorenzo Simone, Davide Bacciu, Vincenzo Gervasi

Artif Intell Med· September 2025

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
C
Continual pre-training mitigates forgetting in language and vision.
Andrea Cossu, Antonio Carta, Lucia Passaro, Vincenzo Lomonaco, Tinne Tuytelaars, Davide Bacciu

Neural Netw· November 2024

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
D
Deep Learning for Dynamic Graphs: Models and Benchmarks.
Alessio Gravina, Davide Bacciu

IEEE Trans Neural Netw Learn Syst· September 2024

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
E
Explaining Deep Graph Networks via Input Perturbation.
Davide Bacciu, Danilo Numeroso

IEEE Trans Neural Netw Learn Syst· December 2023

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
M
Modeling Mood Polarity and Declaration Occurrence by Neural Temporal Point Processes.
Davide Bacciu, Davide Morelli, Vlad Pandelea

IEEE Trans Neural Netw Learn Syst· April 2023

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
A
A Systematic Review of Wi-Fi and Machine Learning Integration with Topic Modeling Techniques.
Daniele Atzeni, Davide Bacciu, Daniele Mazzei, Giuseppe Prencipe

Sensors (Basel)· June 2022

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
C
Controlling astrocyte-mediated synaptic pruning signals for schizophrenia drug repurposing with deep graph networks.
Alessio Gravina, Jennifer L Wilson, Davide Bacciu, Kevin J Grimes, Corrado Priami

PLoS Comput Biol· May 2022

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
A
A causal learning framework for the analysis and interpretation of COVID-19 clinical data.
Elisa Ferrari, Luna Gargani, Greta Barbieri, Lorenzo Ghiadoni, Francesco Faita, Davide Bacciu

PLoS One· May 2022

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
I
Is Class-Incremental Enough for Continual Learning?
Andrea Cossu, Gabriele Graffieti, Lorenzo Pellegrini, Davide Maltoni, Davide Bacciu

Front Artif Intell· March 2022

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
C
Catastrophic Forgetting in Deep Graph Networks: A Graph Classification Benchmark.
Antonio Carta, Andrea Cossu, Federico Errica, Davide Bacciu

Front Artif Intell· February 2022

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
C
Continual learning for recurrent neural networks: An empirical evaluation.
Andrea Cossu, Antonio Carta, Vincenzo Lomonaco, Davide Bacciu

Neural Netw· November 2021

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
O
Occlusion-Based Explanations in Deep Recurrent Models for Biomedical Signals.
Michele Resta, Anna Monreale, Davide Bacciu

Entropy (Basel)· August 2021

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
A
A Deep Graph Network-Enhanced Sampling Approach to Efficiently Explore the Space of Reduced Representations of Proteins.
Federico Errica, Marco Giulini, Davide Bacciu, Roberto Menichetti, Alessio Micheli

Front Mol Biosci· April 2021

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
A
A Deep Classifier for Upper-Limbs Motor Anticipation Tasks in an Online BCI Setting.
Andrea Valenti, Michele Barsotti, Davide Bacciu, Luca Ascari

Bioengineering (Basel)· February 2021

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
T
The CLAIRE COVID-19 initiative: approach, experiences and recommendations.
Gianluca Bontempi, Ricardo Chavarriaga, Hans eD Canck, Emanuela Girardi, Holger Hoos, Davide Bacciu

Ethics Inf Technol· February 2021

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
A
A gentle introduction to deep learning for graphs.
Davide Bacciu, Federico Errica, Alessio Micheli, Marco Podda

Neural Netw· September 2020

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
M
Measuring the effects of confounders in medical supervised classification problems: the Confounding Index (CI).
Elisa Ferrari, Alessandra Retico, Davide Bacciu

Artif Intell Med· March 2020

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
A
Augmenting Recurrent Neural Networks Resilience by Dropout.
Davide Bacciu, Francesco Crecchi

IEEE Trans Neural Netw Learn Syst· January 2020

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
D
DeepDynamicHand: A Deep Neural Architecture for Labeling Hand Manipulation Strategies in Video Sources Exploiting Temporal Information.
Visar Arapi, Cosimo Della Santina, Davide Bacciu, Matteo Bianchi, Antonio Bicchi

Front Neurorobot· December 2018

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
G
Generative Kernels for Tree-Structured Data.
Davide Bacciu, Alessio Micheli, Alessandro Sperduti

IEEE Trans Neural Netw Learn Syst· October 2018

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
A
A machine learning approach to estimating preterm infants survival: development of the Preterm Infants Survival Assessment (PISA) predictor.
Marco Podda, Davide Bacciu, Alessio Micheli, Roberto Bellù, Giulia Placidi

Sci Rep· September 2018

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
C
Compositional generative mapping for tree-structured data--part I: bottom-up probabilistic modeling of trees.
Davide Bacciu, Alessio Micheli, Alessandro Sperduti

IEEE Trans Neural Netw Learn Syst· December 2012

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
C
Competitive repetition suppression (CoRe) clustering: a biologically inspired learning model with application to robust clustering.
Davide Bacciu, Antonina Starita

IEEE Trans Neural Netw· November 2008

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis