| 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 | 491 | 2019 |
| A gentle introduction to deep learning for graphs D Bacciu, F Errica, A Micheli, M Podda Neural Networks 129, 203-221, 2020 | 311 | 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 | 191 | 2021 |
| 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 | 138 | 2014 |
| 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 | 136 | 2022 |
| Continual Learning for Recurrent Neural Networks: an Empirical Evaluation A Cossu, A Carta, V Lomonaco, D Bacciu Neural Networks 143, 607-627, 2021 | 99 | 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 | 94 | 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 | 88 | 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 | 82 | 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 | 68 | 2020 |
| 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 |
| 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 | 47 | 2012 |
| 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 | 42 | 2023 |
| 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 | 41 | 2017 |
| 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 | 40 | 2024 |
| 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 | 38 | 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 | 38 | 2017 |
| Edge-based sequential graph generation with recurrent neural networks D Bacciu, A Micheli, M Podda Neurocomputing 416, 177-189, 2020 | 36 | 2020 |
| Detecting adversarial examples through nonlinear dimensionality reduction F Crecchi, D Bacciu, B Biggio In 27th European Symposium on Artificial Neural Networks, Computational …, 2019 | 36 | 2019 |
| 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 | 35 | 2021 |
Alessio MicheliDepartment of Computer Science, University of Pisa在 di.unipi.it 的电子邮件经过验证
