MECOCCI ALESSANDRO
Alessandro
Mecocci
Professore Ordinario
Office hours
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Tuesday from 10:00 to 12:00Place: Edificio S. Niccolo', Via Roma n.56 - stanza 216
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Friday from 14:00 to 16:00Place: Edificio S. Niccolo', Via Roma n.56 - stanza 216
Contacts
Teaching activities
Completion accademic year: 2019/2020
Completion accademic year: 2018/2019
Completion accademic year: 2017/2018
Course year: 1
Second cycle degree (Laurea Magistrale)
ELECTRONICS AND COMMUNICATIONS ENGINEERING
A.Y. 2017/2018
Completion accademic year: 2016/2017
Course year: 1
Second cycle degree (Laurea Magistrale)
ELECTRONICS AND COMMUNICATIONS ENGINEERING
A.Y. 2016/2017
Completion accademic year: 2015/2016
Course year: 1
Second cycle degree (Laurea Magistrale)
ELECTRONICS AND COMMUNICATIONS ENGINEERING
A.Y. 2015/2016
Completion accademic year: 2014/2015
Course year: 1
Second cycle degree (Laurea Magistrale)
ELECTRONICS AND COMMUNICATIONS ENGINEERING
A.Y. 2014/2015
Research
Ultime pubblicazioni:
- Di Maio, C., Nunziati, G., Mecocci, A. (2024). Deep-Learning-Based Action and Trajectory Analysis for Museum Security Videos. ELECTRONICS, 13(7) [10.3390/electronics13071194]. - view more
- Andreini, P., Bonechi, S., Mecocci, A., Lucia Rossi, V., Ferorelli, G., Chini, G., et al. (2023). Enhancing Fluorescence Image Analysis through Deep Learning. In 2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) (pp.217). New York : IEEE [10.1109/MetroXRAINE58569.2023.10405797]. - view more
- Bartolini, S., Mecocci, A., Medaglini, A. (2022). Visual Odometry and Trajectory Reconstruction for UAVs. INTERNATIONAL JOURNAL OF AEROSPACE AND MECHANICAL ENGINEERING, 16(6), 165-173. - view more
- Andreini, P., Ciano, G., Bonechi, S., Graziani, C., Lachi, V., Mecocci, A., et al. (2022). A Two-Stage GAN for High-Resolution Retinal Image Generation and Segmentation. ELECTRONICS, 11(1) [10.3390/electronics11010060]. - view more
- Dimitri, G.M., Andreini, P., Bonechi, S., Bianchini, M., Mecocci, A., Scarselli, F., et al. (2022). Deep Learning Approaches for the Segmentation of Glomeruli in Kidney Histopathological Images. MATHEMATICS, 10(11) [10.3390/math10111934]. - view more