| Making Deep Neural Networks Robust to Label Noise: a Loss Correction Approach G Patrini, A Rozza, AK Menon, R Nock, L Qu Computer Vision and Pattern Recognition (CVPR) 2017, 1944-1952, 2017 | 2041 | 2017 |
| Echo chamber or public sphere? Predicting political orientation and measuring political homophily in Twitter using big data E Colleoni, A Rozza, A Arvidsson Journal of communication 64 (2), 317-332, 2014 | 1910 | 2014 |
| Dynamic graph convolutional networks F Manessi, A Rozza, M Manzo Pattern Recognition 97, 107000, 2020 | 548 | 2020 |
| Intrinsic dimension estimation: Relevant techniques and a benchmark framework P Campadelli, E Casiraghi, C Ceruti, A Rozza Mathematical Problems in Engineering 2015 (1), 759567, 2015 | 190 | 2015 |
| Danco: An intrinsic dimensionality estimator exploiting angle and norm concentration C Ceruti, S Bassis, A Rozza, G Lombardi, E Casiraghi, P Campadelli Pattern recognition 47 (8), 2569-2581, 2014 | 120 | 2014 |
| Novel high intrinsic dimensionality estimators A Rozza, G Lombardi, C Ceruti, E Casiraghi, P Campadelli Machine learning 89 (1), 37-65, 2012 | 119 | 2012 |
| A survey and taxonomy of loss functions in machine learning L Ciampiconi, A Elwood, M Leonardi, A Mohamed, A Rozza arXiv preprint arXiv:2301.05579, 2023 | 115 | 2023 |
| Learning Combinations of Activation Functions F Manessi, A Rozza 2018 24th International Conference on Pattern Recognition (ICPR), 61-66, 2018 | 97 | 2018 |
| Automated pruning for deep neural network compression F Manessi, A Rozza, S Bianco, P Napoletano, R Schettini 2018 24th International conference on pattern recognition (ICPR), 657-664, 2018 | 83 | 2018 |
| Modelling political disaffection from Twitter data C Monti, A Rozza, G Zappella, M Zignani, A Arvidsson, E Colleoni Proceedings of the second international workshop on issues of sentiment …, 2013 | 57 | 2013 |
| Composition and Style Attributes Guided Image Aesthetic Assessment L Celona, M Leonardi, P Napoletano, A Rozza IEEE Transactions on Image Processing 31, 5009-5024, 2022 | 56 | 2022 |
| Minimum neighbor distance estimators of intrinsic dimension G Lombardi, A Rozza, C Ceruti, E Casiraghi, P Campadelli Joint European Conference on Machine Learning and Knowledge Discovery in …, 2011 | 54 | 2011 |
| Graph-based neural network models with multiple self-supervised auxiliary tasks F Manessi, A Rozza Pattern Recognition Letters 148, 15-21, 2021 | 49 | 2021 |
| IDEA: Intrinsic dimension estimation algorithm A Rozza, G Lombardi, M Rosa, E Casiraghi, P Campadelli International Conference on Image Analysis and Processing, 433-442, 2011 | 41 | 2011 |
| A robust approach for the background subtraction based on multi-layered self-organizing maps G Gemignani, A Rozza IEEE transactions on image processing 25 (11), 5239-5251, 2016 | 38 | 2016 |
| Novel Fisher discriminant classifiers A Rozza, G Lombardi, E Casiraghi, P Campadelli Pattern Recognition 45 (10), 3725-3737, 2012 | 38 | 2012 |
| Making neural networks robust to label noise: a loss correction approach. arXiv preprint G Patrini, A Rozza, A Menon, R Nock, L Qu arXiv preprint arXiv:1609.03683, 2016 | 32* | 2016 |
| DANCo: Dimensionality from angle and norm concentration C Ceruti, S Bassis, A Rozza, G Lombardi, E Casiraghi, P Campadelli arXiv preprint arXiv:1206.3881, 2012 | 28 | 2012 |
| A novel graph-based fisher kernel method for semi-supervised learning A Rozza, M Manzo, A Petrosino 2014 22nd International Conference on Pattern Recognition, 3786-3791, 2014 | 23 | 2014 |
| A Novel Background Subtraction Approach based on Multi Layered Self-Organizing Maps G Gemignani, A Rozza Image Processing (ICIP), 2015 IEEE International Conference on, 462 - 466, 2015 | 18 | 2015 |
Elena CasiraghiAssociate Professor, Computer Science Department (DI), Università degli Studi di MilanoVerified email at unimi.it
