Follow
Marco San Biagio
Marco San Biagio
Engineering Ingegneria Informatica s.p.a.
Verified email at iit.it - Homepage
Title
Cited by
Cited by
Year
Log-Hilbert-Schmidt metric between positive definite operators on Hilbert spaces
M Ha Quang, M San Biagio, V Murino
Advances in neural information processing systems 27, 2014
1002014
Kernel-based classification for brain connectivity graphs on the Riemannian manifold of positive definite matrices
L Dodero, HQ Minh, M San Biagio, V Murino, D Sona
2015 IEEE 12th international symposium on biomedical imaging (ISBI), 42-45, 2015
652015
Kernelized covariance for action recognition
J Cavazza, A Zunino, M San Biagio, V Murino
2016 23rd International Conference on Pattern Recognition (ICPR), 408-413, 2016
542016
Heterogeneous Auto-Similarities of Characteristics (HASC) - Exploiting Relational Information for Classification
M San Biagio, M Crocco, M Cristani, S Martelli, V Murino
Computer Vision (ICCV), 2013 IEEE International Conference on 1, 809 - 816, 2013
542013
Approximate log-Hilbert-Schmidt distances between covariance operators for image classification
HQ Minh, MS Biagio, L Bazzani, V Murino
Proceedings of the IEEE conference on computer vision and pattern …, 2016
242016
Exploiting feature correlations by Brownian statistics for people detection and recognition
S Bąk, M San Biagio, R Kumar, V Murino, F Brémond
IEEE Transactions on Systems, Man, and Cybernetics: Systems 47 (9), 2538-2549, 2016
202016
Automatic inspection of aeronautic components
MS Biagio, C Beltran-Gonzalez, S Giunta, AD Bue, V Murino
Machine Vision and Applications 28, 591-605, 2017
162017
Weighted bag of visual words for object recognition
M San Biagio, L Bazzani, M Cristani, V Murino
2014 IEEE International Conference on Image Processing (ICIP), 2734-2738, 2014
142014
A new SOCMINT framework for Threat Intelligence Identification
M San Biagio, R Acquaviva, V Mazzonello, E La Mattina, V Morreale
2021 International Conference on Computational Science and Computational …, 2021
62021
Kernel methods on approximate infinite-dimensional covariance operators for image classification
HQ Minh, MS Biagio, L Bazzani, V Murino
arXiv preprint arXiv:1609.09251, 2016
62016
Encoding structural similarity by cross-covariance tensors for image classification
M San Biagio, S Martelli, M Crocco, M Cristani, V Murino
International Journal of Pattern Recognition and Artificial Intelligence 28 …, 2014
62014
Low-level multimodal integration on riemannian manifolds for automatic pedestrian detection
M San-Biagio, M Crocco, M Cristani, S Martelli, V Murino
2012 15th International Conference on Information Fusion, 2223-2229, 2012
62012
Recursive segmentation based on higher order statistics in thermal imaging pedestrian detection
M San-Biagio, M Crocco, M Cristani
2012 5th International Symposium on Communications, Control and Signal …, 2012
62012
A multiple kernel learning approach to multi-modal pedestrian classification
M San-Biagio, A Ulaş, M Crocco, M Cristani, U Castellani, V Murino
Proceedings of the 21st International Conference on Pattern Recognition …, 2012
52012
Encoding classes of unaligned objects using structural similarity cross-covariance tensors
M San Biagio, S Martelli, M Crocco, M Cristani, V Murino
Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2013
42013
MARPLE: A Framework for Social Media Threat Intelligence
M San Biagio, S Simoncini, E La Mattina, V Morreale
2024 International Conference on Artificial Intelligence, Computer, Data …, 2024
12024
Surrogate modeling for injection molding processes using deep learning
A Uglov, S Nikolaev, S Belov, D Padalitsa, T Greenkina, MS Biagio, ...
Structural and Multidisciplinary Optimization 65 (11), 305, 2022
12022
THINT: a Deep Learning Framework for Terrorist Threats Identification in Social Media
M San Biagio, V Scarfone, E La Mattina, V Morreale
2024 International Conference on Electrical, Computer and Energy …, 2024
2024
A Topic Clustering Method to Identify Online Threats against Soft Targets
M San Biagio, M Cipolla, E La Mattina, V Morreale
2023 International Conference on Computational Science and Computational …, 2023
2023
Surrogate Modelling for Injection Molding Processes using Machine Learning
A Uglov, S Nikolaev, S Belov, D Padalitsa, T Greenkina, MS Biagio, ...
arXiv preprint arXiv:2107.14574, 2021
2021
The system can't perform the operation now. Try again later.
Articles 1–20