| Inside pagerank M Bianchini, M Gori, F Scarselli ACM Transactions on Internet Technology (TOIT) 5 (1), 92-128, 2005 | 733 | 2005 |
| On the complexity of neural network classifiers: A comparison between shallow and deep architectures M Bianchini, F Scarselli IEEE transactions on neural networks and learning systems 25 (8), 1553-1565, 2014 | 601 | 2014 |
| Learning without local minima in radial basis function networks M Bianchini, P Frasconi, M Gori IEEE transactions on neural networks 6 (3), 749-756, 1995 | 393 | 1995 |
| Molecular generative graph neural networks for drug discovery P Bongini, M Bianchini, F Scarselli Neurocomputing 450, 242-252, 2021 | 122 | 2021 |
| Modelling taxi drivers’ behaviour for the next destination prediction A Rossi, G Barlacchi, M Bianchini, B Lepri IEEE Transactions on Intelligent Transportation Systems 21 (7), 2980-2989, 2019 | 105 | 2019 |
| Image generation by GAN and style transfer for agar plate image segmentation P Andreini, S Bonechi, M Bianchini, A Mecocci, F Scarselli Computer methods and programs in biomedicine 184, 105268, 2020 | 80 | 2020 |
| On the problem of local minima in recurrent neural networks M Bianchini, M Gori, M Maggini IEEE Transactions on Neural Networks 5 (2), 167-177, 1994 | 80 | 1994 |
| Handbook on neural information processing M Maggini Springer, 2013 | 78 | 2013 |
| Learning in multilayered networks used as autoassociators M Bianchini, P Frasconi, M Gori IEEE Transactions on Neural Networks 6 (2), 512-515, 1995 | 74 | 1995 |
| Recursive neural networks for processing graphs with labelled edges: Theory and applications M Bianchini, M Maggini, L Sarti, F Scarselli Neural Networks 18 (8), 1040-1050, 2005 | 62 | 2005 |
| On the complexity of shallow and deep neural network classifiers. M Bianchini, F Scarselli ESANN, 2014 | 60 | 2014 |
| Weak supervision for generating pixel–level annotations in scene text segmentation S Bonechi, M Bianchini, F Scarselli, P Andreini Pattern Recognition Letters 138, 1-7, 2020 | 59 | 2020 |
| Optimal learning in artificial neural networks: A review of theoretical results M Bianchini, M Gori Neurocomputing 13 (2-4), 313-346, 1996 | 52 | 1996 |
| A two-stage GAN for high-resolution retinal image generation and segmentation P Andreini, G Ciano, S Bonechi, C Graziani, V Lachi, A Mecocci, A Sodi, ... Electronics 11 (1), 60, 2021 | 50 | 2021 |
| Graph neural networks for temporal graphs: State of the art, open challenges, and opportunities A Longa, V Lachi, G Santin, M Bianchini, B Lepri, P Lio, F Scarselli, ... arXiv preprint arXiv:2302.01018, 2023 | 41 | 2023 |
| An unobtrusive sleep monitoring system for the human sleep behaviour understanding P Barsocchi, M Bianchini, A Crivello, D La Rosa, F Palumbo, F Scarselli 2016 7th IEEE international conference on cognitive infocommunications …, 2016 | 40 | 2016 |
| On inductive–transductive learning with graph neural networks G Ciano, A Rossi, M Bianchini, F Scarselli IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (2), 758-769, 2021 | 39 | 2021 |
| Processing directed acyclic graphs with recursive neural networks M Bianchini, M Gori, F Scarselli IEEE Transactions on Neural Networks 12 (6), 1464-1470, 2001 | 39 | 2001 |
| Recursive processing of cyclic graphs M Bianchini, M Gori, L Sarti, F Scarselli IEEE Transactions on Neural Networks 17 (1), 10-18, 2006 | 38 | 2006 |
| A new deep learning approach integrated with clinical data for the dermoscopic differentiation of early melanomas from atypical nevi L Tognetti, S Bonechi, P Andreini, M Bianchini, F Scarselli, G Cevenini, ... Journal of Dermatological Science 101 (2), 115-122, 2021 | 37 | 2021 |
