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pro vyhledávání: '"Denitto, Matteo"'
Autor:
Skenderi, Geri, Capogrosso, Luigi, Toaiari, Andrea, Denitto, Matteo, Fummi, Franco, Melzi, Simone, Cristani, Marco
In deep learning, auxiliary objectives are often used to facilitate learning in situations where data is scarce, or the principal task is extremely complex. This idea is primarily inspired by the improved generalization capability induced by solving
Externí odkaz:
http://arxiv.org/abs/2310.09278
The fashion industry is one of the most active and competitive markets in the world, manufacturing millions of products and reaching large audiences every year. A plethora of business processes are involved in this large-scale industry, but due to th
Externí odkaz:
http://arxiv.org/abs/2211.04798
We present Visuelle 2.0, the first dataset useful for facing diverse prediction problems that a fast-fashion company has to manage routinely. Furthermore, we demonstrate how the use of computer vision is substantial in this scenario. Visuelle 2.0 con
Externí odkaz:
http://arxiv.org/abs/2204.06972
New fashion product sales forecasting is a challenging problem that involves many business dynamics and cannot be solved by classical forecasting approaches. In this paper, we investigate the effectiveness of systematically probing exogenous knowledg
Externí odkaz:
http://arxiv.org/abs/2109.09824
Publikováno v:
Journal of Forecasting; Sep2024, Vol. 43 Issue 6, p1982-1997, 16p
Akademický článek
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Autor:
Bottarelli, Lorenzo, Bicego, Manuele, Denitto, Matteo, Di Pierro, Alessandra, Farinelli, Alessandro
Publikováno v:
Theory & Practice of Natural Computing: 5th International Conference, TPNC 2016, Sendai, Japan, December 12-13, 2016, Proceedings; 2016, p175-187, 13p
Publikováno v:
Structural, Syntactic & Statistical Pattern Recognition: Joint IAPR International Workshop, S+SSPR 2014, Joensuu, Finland, August 20-22, 2014. Proceedings; 2014, p394-403, 10p