Spam filtering based on the analysis of text information embedded into images G Fumera, I Pillai, F Roli The Journal of Machine Learning Research 7, 2699-2720, 2006 | 242 | 2006 |
Is data clustering in adversarial settings secure? B Biggio, I Pillai, S Rota Bulò, D Ariu, M Pelillo, F Roli Proceedings of the 2013 ACM workshop on Artificial intelligence and security …, 2013 | 158 | 2013 |
A survey and experimental evaluation of image spam filtering techniques B Biggio, G Fumera, I Pillai, F Roli Pattern recognition letters 32 (10), 1436-1446, 2011 | 128 | 2011 |
Randomized prediction games for adversarial machine learning SR Bulò, B Biggio, I Pillai, M Pelillo, F Roli IEEE transactions on neural networks and learning systems 28 (11), 2466-2478, 2016 | 100 | 2016 |
Designing multi-label classifiers that maximize F measures: State of the art I Pillai, G Fumera, F Roli Pattern Recognition 61, 394-404, 2017 | 86 | 2017 |
Threshold optimisation for multi-label classifiers I Pillai, G Fumera, F Roli Pattern Recognition, 2013 | 78 | 2013 |
Poisoning complete-linkage hierarchical clustering B Biggio, SR Bulò, I Pillai, M Mura, EZ Mequanint, M Pelillo, F Roli Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR …, 2014 | 72 | 2014 |
Image spam filtering using visual information B Biggio, G Fumera, I Pillai, F Roli 14th International Conference on Image Analysis and Processing (ICIAP 2007 …, 2007 | 72 | 2007 |
Multi-label classification with a reject option I Pillai, G Fumera, F Roli Pattern Recognition 46 (8), 2256-2266, 2013 | 70 | 2013 |
Image Spam Filtering by Content Obscuring Detection. B Biggio, G Fumera, I Pillai, F Roli CEAS, 2007 | 59 | 2007 |
Image spam filtering using textual and visual information G Fumera, I Pillai, F Roli, B Biggio Proceedings of the MIT Spam Conference 2007, 2007 | 36 | 2007 |
Classification with reject option in text categorisation systems G Fumera, I Pillai, F Roli 12th International Conference on Image Analysis and Processing, 2003 …, 2003 | 35 | 2003 |
F-measure optimisation in multi-label classifiers I Pillai, G Fumera, F Roli Proceedings of the 21st International Conference on Pattern Recognition …, 2012 | 34 | 2012 |
Improving image spam filtering using image text features B Biggio, G Fumera, I Pillai, F Roli Proc of the fifth conf on email and anti-spam, 2008 | 21 | 2008 |
A classification approach with a reject option for multi-label problems I Pillai, G Fumera, F Roli Image Analysis and Processing–ICIAP 2011, 98-107, 2011 | 19 | 2011 |
A two-stage classifier with reject option for text categorisation G Fumera, I Pillai, F Roli Structural, Syntactic, and Statistical Pattern Recognition, 771-779, 2004 | 15 | 2004 |
Exploiting depth information for indoor-outdoor scene classification I Pillai, R Satta, G Fumera, F Roli Image Analysis and Processing–ICIAP 2011: 16th International Conference …, 2011 | 10 | 2011 |
Image spam filtering by detection of adversarial obfuscated text F Roli, B Biggio, G Fumera, I Pillai, R Satta Workshop on Machine Learning in Adversarial Environments for Computer …, 2007 | 4 | 2007 |
Classifier selection approaches for multi-label problems I Pillai, G Fumera, F Roli Multiple Classifier Systems, 167-176, 2011 | 2 | 2011 |
Evading spamassassin B Biggio, G Fumera, I Pillai, F Roli, R Satta Virus Bulletin, 2007 | 1 | 2007 |