Davide Bacciu
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A fair comparison of graph neural networks for graph classification
F Errica, M Podda, D Bacciu, A Micheli
Proceedings of the 8th International Conference on Learning Representationsá…, 2019
A gentle introduction to deep learning for graphs
D Bacciu, F Errica, A Micheli, M Podda
Neural Networks 129, 203-221, 2020
Avalanche: an end-to-end library for continual learning
V Lomonaco, L Pellegrini, A Cossu, A Carta, G Graffieti, TL Hayes, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Patterná…, 2021
An experimental characterization of reservoir computing in ambient assisted living applications
D Bacciu, P Barsocchi, S Chessa, C Gallicchio, A Micheli
Neural Computing and Applications 24, 1451-1464, 2014
Internet of robotic things–converging sensing/actuating, hyperconnectivity, artificial intelligence and IoT platforms
O Vermesan, A Br÷ring, E Tragos, M Serrano, D Bacciu, S Chessa, ...
Cognitive hyperconnected digital transformation, 97-155, 2022
Continual Learning for Recurrent Neural Networks: an Empirical Evaluation
A Cossu, A Carta, V Lomonaco, D Bacciu
Neural Networks 143, 607-627, 2021
Contextual graph markov model: A deep and generative approach to graph processing
D Bacciu, F Errica, A Micheli
International conference on machine learning, 294-303, 2018
Learning from humans how to grasp: a data-driven architecture for autonomous grasping with anthropomorphic soft hands
C Della Santina, V Arapi, G Averta, F Damiani, G Fiore, A Settimi, ...
IEEE Robotics and Automation Letters 4 (2), 1533-1540, 2019
A machine learning approach to estimating preterm infants survival: development of the Preterm Infants Survival Assessment (PISA) predictor
M Podda, D Bacciu, A Micheli, R Bell¨, G Placidi, L Gagliardi
Scientific reports 8 (1), 13743, 2018
A deep generative model for fragment-based molecule generation
M Podda, D Bacciu, A Micheli
International conference on artificial intelligence and statistics, 2240-2250, 2020
Robotic ubiquitous cognitive ecology for smart homes
G Amato, D Bacciu, M Broxvall, S Chessa, S Coleman, M Di Rocco, ...
Journal of Intelligent & Robotic Systems 80, 57-81, 2015
Compositional Generative Mapping for Tree-Structured Data - Part I: Bottom-Up Probabilistic Modeling of Trees
D Bacciu, A Micheli, A Sperduti
IEEE Transactions on Neural Networks and Learning Systems 23 (12), 1987 - 2002, 2012
An experience in using machine learning for short-term predictions in smart transportation systems
D Bacciu, A Carta, S Gnesi, L Semini
Journal of Logical and Algebraic Methods in Programming 87, 52-66, 2017
Anti-Symmetric DGN: a stable architecture for Deep Graph Networks
A Gravina, D Bacciu, C Gallicchio
Proceedings of the Eleventh International Conference on Learningá…, 2023
Continual pre-training mitigates forgetting in language and vision
A Cossu, A Carta, L Passaro, V Lomonaco, T Tuytelaars, D Bacciu
Neural Networks, 106492, 2024
A learning system for automatic Berg Balance Scale score estimation
D Bacciu, S Chessa, C Gallicchio, A Micheli, L Pedrelli, E Ferro, ...
Engineering Applications of Artificial Intelligence 66, 60-74, 2017
MEG: Generating Molecular Counterfactual Explanations for Deep Graph Networks
D Numeroso, D Bacciu
2021 International Joint Conference on Neural Networks (IJCNN 2021), 1-8, 2021
Edge-based sequential graph generation with recurrent neural networks
D Bacciu, A Micheli, M Podda
Neurocomputing 416, 177-189, 2020
Detecting adversarial examples through nonlinear dimensionality reduction
F Crecchi, D Bacciu, B Biggio
In 27th European Symposium on Artificial Neural Networks, Computationalá…, 2019
Distilled replay: Overcoming forgetting through synthetic samples
A Rosasco, A Carta, A Cossu, V Lomonaco, D Bacciu
International Workshop on Continual Semi-Supervised Learning, 104-117, 2021
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