LITRICO, Mattia
LITRICO, Mattia
MATEMATICA E INFORMATICA
A Deep Learning Approach to Optimize Recombinant Protein Production in Escherichia coli Fermentations
file da validare2023-01-01 Bonanni, D.; Litrico, M.; Ahmed, W.; Morerio, P.; Cazzorla, T.; Spaccapaniccia, E.; Cattani, F.; Allegretti, M.; Beccari, A. R.; Del Bue, A.; Martin, F.
Exploiting Egocentric Vision on Shopping Cart for Out-Of-Stock Detection in Retail Environments
file da validare2021-01-01 Allegra, D.; Litrico, M.; Spatafora, M. A. N.; Stanco, F.; Farinella, G. M.
Guiding Pseudo-labels with Uncertainty Estimation for Source-free Unsupervised Domain Adaptation
file da validare2023-01-01 Litrico, M.; Del Bue, A.; Morerio, P.
Mapping young farmers’ choice to pursue Geographical Indication in a rural context: application of fuzzy cognitive map
2024-01-01 Consentino, F.; Peri, I.; Litrico, M.; Spina, D.; Vindigni, G.
Semi-supervised domain adaptation for holistic counting under label gap
file da validare2021-01-01 Litrico, M.; Battiato, S.; Tsaftaris, S. A.; Giuffrida, M. V.
Single Architecture and Multiple task deep Neural Network for Altered Fingerprint Analysis
file da validare2020-01-01 Giudice, O.; Litrico, M.; Battiato, S.
TADM: Temporally-Aware Diffusion Model for Neurodegenerative Progression on Brain MRI
file da validare2024-01-01 Litrico, Mattia; Guarnera, Francesco; Giuffrida Mario, Valerio.; Ravì, Daniele; Battiato, Sebastiano
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A Deep Learning Approach to Optimize Recombinant Protein Production in Escherichia coli Fermentations | 1-gen-2023 | Bonanni, D.; Litrico, M.; Ahmed, W.; Morerio, P.; Cazzorla, T.; Spaccapaniccia, E.; Cattani, F.; Allegretti, M.; Beccari, A. R.; Del Bue, A.; Martin, F. | file da validare |
| Exploiting Egocentric Vision on Shopping Cart for Out-Of-Stock Detection in Retail Environments | 1-gen-2021 | Allegra, D.; Litrico, M.; Spatafora, M. A. N.; Stanco, F.; Farinella, G. M. | file da validare |
| Guiding Pseudo-labels with Uncertainty Estimation for Source-free Unsupervised Domain Adaptation | 1-gen-2023 | Litrico, M.; Del Bue, A.; Morerio, P. | file da validare |
| Mapping young farmers’ choice to pursue Geographical Indication in a rural context: application of fuzzy cognitive map | 1-gen-2024 | Consentino, F.; Peri, I.; Litrico, M.; Spina, D.; Vindigni, G. | |
| Semi-supervised domain adaptation for holistic counting under label gap | 1-gen-2021 | Litrico, M.; Battiato, S.; Tsaftaris, S. A.; Giuffrida, M. V. | file da validare |
| Single Architecture and Multiple task deep Neural Network for Altered Fingerprint Analysis | 1-gen-2020 | Giudice, O.; Litrico, M.; Battiato, S. | file da validare |
| TADM: Temporally-Aware Diffusion Model for Neurodegenerative Progression on Brain MRI | 1-gen-2024 | Litrico, Mattia; Guarnera, Francesco; Giuffrida Mario, Valerio.; Ravì, Daniele; Battiato, Sebastiano | file da validare |