Davide Bacciu

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73 artikel

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Alessio MicheliDepartment of Computer Science, University of PisaEmail yang diverifikasi di di.unipi.it
Claudio GallicchioAssociate Professor at the Department of Computer Science, University of PisaEmail yang diverifikasi di unipi.it
Antonio CartaAssistant Professor @ Università di PisaEmail yang diverifikasi di unipi.it
Vincenzo LomonacoTenure-Track Researcher @ Unipi, Founder @ ContinualAI.org, Founder & CEO @ ContinualIST.comEmail yang diverifikasi di unipi.it
Federico ErricaSenior Research Scientist, NECEmail yang diverifikasi di neclab.eu
Andrea CossuAssistant Professor, University of PisaEmail yang diverifikasi di unipi.it
Marco PoddaAssistant Professor, University of PisaEmail yang diverifikasi di unipi.it
Stefano ChessaFull Professor, Department of Computer Science, University of PisaEmail yang diverifikasi di di.unipi.it
Alessandro SperdutiUniversity of PadovaEmail yang diverifikasi di math.unipd.it
Alessandro SaffiottiProfessor of Computer Science, University or Örebro, SwedenEmail yang diverifikasi di aass.oru.se
Mauro DragoneAssociate Professor, Heriot-Watt University, Edinburgh, Scotland, UKEmail yang diverifikasi di hw.ac.uk
Paulo Lisboaliverpool john moores universityEmail yang diverifikasi di ljmu.ac.uk
Alessio GravinaUniversity of PisaEmail yang diverifikasi di di.unipi.it
Andrea ValentiUniversità di PisaEmail yang diverifikasi di phd.unipi.it
Danilo NumerosoAI Research Scientist, iGeniusEmail yang diverifikasi di igenius.ai
Claudio VairoResearcher at ISTI-CNREmail yang diverifikasi di isti.cnr.it
Claudio GennaroISTI-CNR, PisaEmail yang diverifikasi di isti.cnr.it
Cosimo Della SantinaDelft University of Technology (TU Delft), German Aerospace Center (DLR)Email yang diverifikasi di dlr.de
Maurizio Di RoccoPostdoc Örebro University, AASS centerEmail yang diverifikasi di aass.oru.se
Daniele CastellanaResearch Fellow at University of FlorenceEmail yang diverifikasi di unifi.it

Ikuti

Davide Bacciu

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

Email yang diverifikasi di di.unipi.it - Beranda

Deep Learning Generative Models Graph Representation Learning Continual Learning Pervasive AI


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
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	561	2019
A gentle introduction to deep learning for graphs D Bacciu, F Errica, A Micheli, M Podda Neural Networks 129, 203-221, 2020	355	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	216	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	154	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	140	2014
Continual Learning for Recurrent Neural Networks: an Empirical Evaluation A Cossu, A Carta, V Lomonaco, D Bacciu Neural Networks 143, 607-627, 2021	124	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	96	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	63	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	62	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	53	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	51	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	48	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	46	2022
Edge-based sequential graph generation with recurrent neural networks D Bacciu, A Micheli, M Podda Neurocomputing 416, 177-189, 2020	46	2020
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	43	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	43	2017

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