| 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 | 231 | 2019 |
| A gentle introduction to deep learning for graphs D Bacciu, F Errica, A Micheli, M Podda Neural Networks 129, 203-221, 2020 | 138 | 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 (6), 1451-1464, 2014 | 115 | 2014 |
| Internet of robotic things: converging sensing/actuating, hypoconnectivity, artificial intelligence and IoT Platforms O Vermesan, A Bröring, E Tragos, M Serrano, D Bacciu, S Chessa, ... River Publishers, 2017 | 95 | 2017 |
| 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 | 64 | 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 | 55 | 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), 1-9, 2018 | 47 | 2018 |
| 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 | 46 | 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 (1), 57-81, 2015 | 46 | 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 | 42 | 2012 |
| 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 | 35 | 2020 |
| 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, Intelligence …, 2014 | 33 | 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 | 29 | 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 | 28 | 2015 |
| 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 (STAMI …, 2011 | 28 | 2011 |
| Efficient identification of independence networks using mutual information D Bacciu, TA Etchells, PJG Lisboa, J Whittaker Computational Statistics 28 (2), 621-646, 2013 | 27 | 2013 |
| Adaptive fuzzy-valued service selection D Bacciu, MG Buscemi, L Mkrtchyan Proceedings of the 2010 ACM symposium on applied computing, 2467-2471, 2010 | 26 | 2010 |
| Generative kernels for tree-structured data D Bacciu, A Micheli, A Sperduti IEEE transactions on neural networks and learning systems 29 (10), 4932-4946, 2018 | 25 | 2018 |
| 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 | 25 | 2017 |
| Competitive repetition suppression (CoRe) clustering: A biologically inspired learning model with application to robust clustering D Bacciu, A Starita IEEE transactions on neural networks 19 (11), 1922-1941, 2008 | 24 | 2008 |
Alessio MicheliDepartment of Computer Science, University of PisaVerified email at di.unipi.it
