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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
4532019
A gentle introduction to deep learning for graphs
D Bacciu, F Errica, A Micheli, M Podda
Neural Networks 129, 203-221, 2020
2742020
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
1712021
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
1352014
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
1242022
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
902018
Continual Learning for Recurrent Neural Networks: an Empirical Evaluation
A Cossu, A Carta, V Lomonaco, D Bacciu
Neural Networks 143, 607-627, 2021
812021
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
812019
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
782018
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
572020
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
512015
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
472012
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
362017
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
362017
A cognitive robotic ecology approach to self-configuring and evolving AAL systems
M Dragone, G Amato, D Bacciu, S Chessa, S Coleman, M Di Rocco, ...
Engineering Applications of Artificial Intelligence 45, 269-280, 2015
352015
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
342021
Learning context-aware mobile robot navigation in home environments
D Bacciu, C Gallicchio, A Micheli, M Di Rocco, A Saffiotti
IISA 2014, the 5th international conference on information, intelligenceá…, 2014
332014
Edge-based sequential graph generation with recurrent neural networks
D Bacciu, A Micheli, M Podda
Neurocomputing 416, 177-189, 2020
322020
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
312021
Efficient identification of independence networks using mutual information
D Bacciu, TA Etchells, PJG Lisboa, J Whittaker
Computational Statistics 28, 621-646, 2013
312013
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Articles 1–20