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Matteo Denitto
Matteo Denitto
Ph.D. in Computer Science
Verified email at univr.it
Title
Cited by
Cited by
Year
A biclustering approach based on factor graphs and the max-sum algorithm
M Denitto, A Farinelli, MAT Figueiredo, M Bicego
Pattern Recognition 62, 114-124, 2017
312017
Well googled is half done: Multimodal forecasting of new fashion product sales with image-based google trends
G Skenderi, C Joppi, M Denitto, M Cristani
arXiv preprint arXiv:2109.09824, 2021
172021
Biclustering with a quantum annealer
L Bottarelli, M Bicego, M Denitto, A Di Pierro, A Farinelli, R Mengoni
Soft Computing 22, 6247-6260, 2018
132018
Unsupervised activity recognition for autonomous water drones
A Castellini, G Beltrame, M Bicego, J Blum, M Denitto, A Farinelli
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 840-842, 2018
122018
Multiple structure recovery via probabilistic biclustering
M Denitto, L Magri, A Farinelli, A Fusiello, M Bicego
Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR …, 2016
122016
Biclustering gene expressions using factor graphs and the max-sum algorithm
M Denitto, A Farinelli, M Bicego
Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
122015
Activity Recognition for Autonomous Water Drones based on Unsupervised Learning Methods.
A Castellini, GA Beltrame, M Bicego, D Bloisi, JJ Blum, M Denitto, ...
AIRO@ AI* IA, 16-21, 2017
112017
Biclustering of expression microarray data using affinity propagation
A Farinelli, M Denitto, M Bicego
Pattern Recognition in Bioinformatics: 6th IAPR International Conference …, 2011
112011
Spike and slab biclustering
M Denitto, M Bicego, A Farinelli, MAT Figueiredo
Pattern Recognition 72, 186-195, 2017
102017
Region-based correspondence between 3d shapes via spatially smooth biclustering
M Denitto, S Melzi, M Bicego, U Castellani, A Farinelli, MAT Figueiredo, ...
Proceedings of the IEEE International Conference on Computer Vision, 4260-4269, 2017
72017
A binary factor graph model for biclustering
M Denitto, A Farinelli, G Franco, M Bicego
Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR …, 2014
72014
Biclustering of time series data using factor graphs
M Denitto, A Farinelli, M Bicego
Proceedings of the Symposium on Applied Computing, 28-30, 2017
42017
The multi-modal universe of fast-fashion: the Visuelle 2.0 benchmark
G Skenderi, C Joppi, M Denitto, B Scarpa, M Cristani
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
32022
Biclustering with dominant sets
M Denitto, M Bicego, A Farinelli, S Vascon, M Pelillo
Pattern Recognition 104, 107318, 2020
32020
A quantum annealing approach to biclustering
L Bottarelli, M Bicego, M Denitto, A Di Pierro, A Farinelli
Theory and Practice of Natural Computing: 5th International Conference, TPNC …, 2016
32016
Dominant set biclustering
M Denitto, M Bicego, A Farinelli, M Pelillo
Energy Minimization Methods in Computer Vision and Pattern Recognition: 11th …, 2018
12018
Disentangled Latent Spaces Facilitate Data-Driven Auxiliary Learning
G Skenderi, L Capogrosso, A Toaiari, M Denitto, F Fummi, S Melzi, ...
arXiv preprint arXiv:2310.09278, 2023
2023
On the use of learning-based forecasting methods for ameliorating fashion business processes: A position paper
G Skenderi, C Joppi, M Denitto, M Cristani
International Conference on Pattern Recognition, 647-659, 2022
2022
Graphical Model approaches for Biclustering
M Denitto
2017
On the use of learning-based forecasting methods for ameliorating fashion business processes
G Skenderi, C Joppi, M Denitto, M Cristani
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Articles 1–20