Davide Bacciu

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Alessio MicheliDepartment of Computer Science, University of PisaDirección de correo verificada de di.unipi.it
Claudio GallicchioAssociate Professor at the Department of Computer Science, University of PisaDirección de correo verificada de unipi.it
Antonio CartaAssistant Professor @ Università di PisaDirección de correo verificada de unipi.it
Vincenzo LomonacoTenure-Track Researcher @ Unipi, Founder @ ContinualAI.org, Founder & CEO @ ContinualIST.comDirección de correo verificada de unipi.it
Andrea CossuAssistant Professor, University of PisaDirección de correo verificada de unipi.it
Federico ErricaSenior Research Scientist, NECDirección de correo verificada de neclab.eu
Marco PoddaAssistant Professor, University of PisaDirección de correo verificada de unipi.it
Stefano ChessaFull Professor, Department of Computer Science, University of PisaDirección de correo verificada de di.unipi.it
Alessandro SperdutiUniversity of PadovaDirección de correo verificada de math.unipd.it
Alessandro SaffiottiProfessor of Computer Science, University or Örebro, SwedenDirección de correo verificada de aass.oru.se
Mauro DragoneAssociate Professor, Heriot-Watt University, Edinburgh, Scotland, UKDirección de correo verificada de hw.ac.uk
Alessio GravinaUniversity of PisaDirección de correo verificada de di.unipi.it
Paulo Lisboaliverpool john moores universityDirección de correo verificada de ljmu.ac.uk
Danilo NumerosoAI Research Scientist, iGeniusDirección de correo verificada de igenius.ai
Andrea ValentiUniversità di PisaDirección de correo verificada de phd.unipi.it
Maurizio Di RoccoPostdoc Örebro University, AASS centerDirección de correo verificada de aass.oru.se
Claudio GennaroISTI-CNR, PisaDirección de correo verificada de isti.cnr.it
Claudio VairoResearcher at ISTI-CNRDirección de correo verificada de isti.cnr.it
Cosimo Della SantinaDelft University of Technology (TU Delft), German Aerospace Center (DLR)Dirección de correo verificada de dlr.de
Daniele CastellanaResearch Fellow at University of FlorenceDirección de correo verificada de unifi.it

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Davide Bacciu

Professor @ Università di Pisa - Founder & Chief Scientist @ ContinualIST.com

Dirección de correo verificada de di.unipi.it - Página principal

Deep Learning Generative Models Graph Representation Learning Continual Learning Pervasive AI


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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 Representations …, 2019	565	2019
A gentle introduction to deep learning for graphs D Bacciu, F Errica, A Micheli, M Podda Neural Networks 129, 203-221, 2020	356	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 pattern …, 2021	226	2021
Internet of robotic things–converging sensing/actuating, hyperconnectivity, artificial intelligence and IoT platforms O Vermesan, A Bröring, E Tragos, M Serrano, D Bacciu, S Chessa, ... Cognitive hyperconnected digital transformation, 97-155, 2022	150	2022
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	143	2014
Continual Learning for Recurrent Neural Networks: an Empirical Evaluation A Cossu, A Carta, V Lomonaco, D Bacciu Neural Networks 143, 607-627, 2021	132	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	100	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	98	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 Bellù, G Placidi, L Gagliardi Scientific reports 8 (1), 13743, 2018	92	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	79	2020
Continual pre-training mitigates forgetting in language and vision A Cossu, A Carta, L Passaro, V Lomonaco, T Tuytelaars, D Bacciu Neural Networks 179, 106492, 2024	71	2024
Anti-Symmetric DGN: a stable architecture for Deep Graph Networks A Gravina, D Bacciu, C Gallicchio Proceedings of the Eleventh International Conference on Learning …, 2023	69	2023
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	52	2012
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	51	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	51	2015
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	46	2021
Sample condensation in online continual learning M Sangermano, A Carta, A Cossu, D Bacciu 2022 International Joint Conference on Neural Networks (IJCNN), 01-08, 2022	45	2022
Edge-based sequential graph generation with recurrent neural networks D Bacciu, A Micheli, M Podda Neurocomputing 416, 177-189, 2020	45	2020
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	44	2017
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	42	2017

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