Davide Bacciu
Davide Bacciu
Dipartimento di Informatica, UniversitÓ di Pisa
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
Continual Learning for Recurrent Neural Networks: an Empirical Evaluation
A Cossu, A Carta, V Lomonaco, D Bacciu
Neural Networks 143, 607-627, 2021
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
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
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
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
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
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
Efficient identification of independence networks using mutual information
D Bacciu, TA Etchells, PJG Lisboa, J Whittaker
Computational Statistics 28, 621-646, 2013
Predicting user movements in heterogeneous indoor environments by reservoir computing
D Bacciu, C Gallicchio, A Micheli, S Chessa, P Barsocchi
Proc. of the IJCAI Workshop on Space, Time and Ambient Intelligence (STAMIá…, 2011
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
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