Davide Bacciu

Hivatkozott rá

	Összes	2020 óta
Hivatkozások	4234	3539
h-index	29	26
i10-index	86	71

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Társszerzők

Alessio MicheliDepartment of Computer Science, University of PisaE-mail megerősítve itt: di.unipi.it
Claudio GallicchioAssociate Professor at the Department of Computer Science, University of PisaE-mail megerősítve itt: unipi.it
Antonio CartaAssistant Professor @ Università di PisaE-mail megerősítve itt: unipi.it
Vincenzo LomonacoTenure-Track Researcher @ Unipi, Founder @ ContinualAI.org, Founder & CEO @ ContinualIST.comE-mail megerősítve itt: unipi.it
Federico ErricaSenior Research Scientist, NECE-mail megerősítve itt: neclab.eu
Andrea CossuAssistant Professor, University of PisaE-mail megerősítve itt: unipi.it
Marco PoddaAssistant Professor, University of PisaE-mail megerősítve itt: unipi.it
Stefano ChessaFull Professor, Department of Computer Science, University of PisaE-mail megerősítve itt: di.unipi.it
Alessandro SperdutiUniversity of PadovaE-mail megerősítve itt: math.unipd.it
Alessandro SaffiottiProfessor of Computer Science, University or Örebro, SwedenE-mail megerősítve itt: aass.oru.se
Mauro DragoneAssociate Professor, Heriot-Watt University, Edinburgh, Scotland, UKE-mail megerősítve itt: hw.ac.uk
Alessio GravinaUniversity of PisaE-mail megerősítve itt: di.unipi.it
Paulo Lisboaliverpool john moores universityE-mail megerősítve itt: ljmu.ac.uk
Danilo NumerosoAI Research Scientist, iGeniusE-mail megerősítve itt: igenius.ai
Andrea ValentiUniversità di PisaE-mail megerősítve itt: phd.unipi.it
Maurizio Di RoccoPostdoc Örebro University, AASS centerE-mail megerősítve itt: aass.oru.se
Claudio GennaroISTI-CNR, PisaE-mail megerősítve itt: isti.cnr.it
Claudio VairoResearcher at ISTI-CNRE-mail megerősítve itt: isti.cnr.it
Cosimo Della SantinaDelft University of Technology (TU Delft), German Aerospace Center (DLR)E-mail megerősítve itt: dlr.de
Daniele CastellanaResearch Fellow at University of FlorenceE-mail megerősítve itt: unifi.it

Követés

Davide Bacciu

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

E-mail megerősítve itt: di.unipi.it - Kezdőlap

Deep Learning Generative Models Graph Representation Learning Continual Learning Pervasive AI


Cím Rendezés hivatkozások szerint Rendezés év szerint Rendezés cím szerint	Hivatkozott rá Hivatkozott rá	Év
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	560	2019
A gentle introduction to deep learning for graphs D Bacciu, F Errica, A Micheli, M Podda Neural Networks 129, 203-221, 2020	354	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	222	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	149	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	123	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	99	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	90	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	78	2020
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
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	66	2024
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
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	50	2015
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	49	2021
Edge-based sequential graph generation with recurrent neural networks D Bacciu, A Micheli, M Podda Neurocomputing 416, 177-189, 2020	45	2020
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	44	2022
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	44	2021
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	43	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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