Publications

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2022
R. Delussu, Putzu, L., e Fumera, G., «On the Effectiveness of Synthetic Data Sets for Training Person Re-identification Models», in Proceedings - International Conference on Pattern Recognition, 2022, vol 2022-August, pagg 1208 – 1214.
E. Ledda, Putzu, L., Delussu, R., Fumera, G., e Roli, F., «On the Evaluation of Video-Based Crowd Counting Models», Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol 13233 LNCS. pagg 301 – 311, 2022.
R. Delussu, Putzu, L., e Fumera, G., «Scene-specific Crowd Counting Using Synthetic Training Images», Pattern Recognition, vol 124, 2022. (3.14 MB)
2021
L. Putzu, Untesco, M., e Fumera, G., «Automatic Myelofibrosis Grading from Silver-Stained Images», in Computer Analysis of Images and Patterns, Cham, 2021, pagg 195–205.
E. Ledda, Putzu, L., Delussu, R., Loddo, A., e Fumera, G., «How Realistic Should Synthetic Images Be for Training Crowd Counting Models?», in Computer Analysis of Images and Patterns, Cham, 2021, pagg 46–56.
2020
A. Sotgiu, Demontis, A., Melis, M., Biggio, B., Fumera, G., Feng, X., e Roli, F., «Deep Neural Rejection against Adversarial Examples», EURASIP Journal on Information Security, vol 5, 2020.
R. Delussu, Putzu, L., e Fumera, G., «An Empirical Evaluation of Cross-scene Crowd Counting Performance», in Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - VISAPP, Valletta - Malta, 2020, vol 4, pagg 373-380. (527.29 KB)
L. Putzu e Fumera, G., «An empirical evaluation of nuclei segmentation from H&E images in a real application scenario», Applied Sciences (Switzerland), vol 10, pagg 1-15, 2020.
R. Soleymani, Granger, E., e Fumera, G., «F-Measure Curves: A Tool to Visualize Classifier Performance Under Imbalance», Pattern Recognition, vol 100, pag 107146, 2020. (3.15 MB)
R. Delussu, Putzu, L., e Fumera, G., «Investigating Synthetic Data Sets for Crowd Counting in Cross-scene Scenarios», in Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications VISAPP 2020, Valletta - Malta, 2020, vol 4, pagg 365-372. (4.23 MB)
R. Delussu, Putzu, L., Fumera, G., e Roli, F., «Online Domain Adaptation for Person Re-Identification with a Human in the Loop», in 25th International Conference on Pattern Recognition, {ICPR} 2020, Virtual Event / Milan, Italy, January 10-15, 2021, 2020, pagg 3829–3836. (770.02 KB)
2019
A. Carcangiu, Spano, L. Davide, Fumera, G., e Roli, F., «DEICTIC: a Compositional and Declarative Gesture Description based on Hidden Markov Model», International Journal of Human-Computer Studies, vol 122, pag 20, 2019. (1.69 MB)
2018
R. Soleymani, Granger, E., e Fumera, G., «F-Measure Curves for Visualizing Classifier Performance with Imbalanced Data», in 8th IAPR TC3 Workshop on Artificial Neural Networks in Pattern Recognition (ANNPR 2018), Siena, 2018. (413.21 KB)
B. Lavi, Fumera, G., e Roli, F., «Multi-Stage Ranking Approach for Fast Person Re-Identification», IET Computer Vision, vol 12, n° 4, pag 7, 2018. (1.07 MB)
R. Soleymani, Granger, E., e Fumera, G., «Progressive Boosting for Class Imbalance and Its Application to Face Re-Identification», Expert Systems With Applications, vol 101, pag 21, 2018. (1.11 MB)
2017
M. Melis, Demontis, A., Biggio, B., Brown, G., Fumera, G., e Roli, F., «Is Deep Learning Safe for Robot Vision? Adversarial Examples against the iCub Humanoid», in ICCV 2017 Workshop on Vision in Practice on Autonomous Robots (ViPAR), Venice, Italy, 2017, vol 2017 IEEE International Conference on Computer Vision Workshops (ICCVW), pagg 751-759. (3.16 MB)
I. Pillai, Fumera, G., e Roli, F., «Designing multi-label classifiers that maximize F measures: state of the art», Pattern Recognition, vol 61, 2017. (452.28 KB)
A. Demontis, Biggio, B., Fumera, G., Giacinto, G., e Roli, F., «Infinity-norm Support Vector Machines against Adversarial Label Contamination», 1st Italian Conference on CyberSecurity (ITASEC). Venice, Italy , pagg 106-115, 2017. (504.93 KB)
E. Santucci, Didaci, L., Fumera, G., e Roli, F., «A Parameter Randomization Approach for Constructing Classifier Ensembles», Pattern Recognition, vol 69, pagg 1-13, 2017. (448.73 KB)
B. Biggio, Fumera, G., Marcialis, G. L., e Roli, F., «Statistical Meta-Analysis of Presentation Attacks for Secure Multibiometric Systems», IEEE Transactions on Pattern Analysis and Machine Intelligence, vol 39, n° 3, pagg 561-575, 2017. (5.7 MB)
2016
R. Soleymani, Granger, E., e Fumera, G., «Classifier Ensembles with Trajectory Under-Sampling for Face Re-Identification», in 5th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2016), Rome, Italy, 2016, vol 1, pagg 97-108. (556.82 KB)
R. Soleymani, Granger, E., e Fumera, G., «Loss Factors for Learning Boosting Ensembles from Imbalanced Data», in 23rd International Conference on Pattern Recognition (ICPR 2016), Cancún, Mexico, 2016. (435.44 KB)
P. Russu, Demontis, A., Biggio, B., Fumera, G., e Roli, F., «Secure Kernel Machines against Evasion Attacks», in 9th ACM Workshop on Artificial Intelligence and Security, Vienna, Austria, 2016, pagg 59-69. (686.41 KB)
A. Demontis, Russu, P., Biggio, B., Fumera, G., e Roli, F., «On Security and Sparsity of Linear Classifiers for Adversarial Settings», in Joint IAPR Int'l Workshop on Structural, Syntactic, and Statistical Pattern Recognition, Merida, Mexico, 2016, vol 10029 of LNCS, pagg 322-332. (425.68 KB)
A. Demontis, Melis, M., Biggio, B., Fumera, G., e Roli, F., «Super-sparse Learning in Similarity Spaces», IEEE Computational Intelligence Magazine, vol 11, n° 4, pagg 36-45, 2016. (555.22 KB)

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