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ORCIDLorenzo Brigato
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2020 – today
- 2024
[c12]Lubnaa Abdur Rahman, Ioannis Papathanail, Lorenzo Brigato, Stavroula G. Mougiakakou:
A SAM Based Tool for Semi-Automatic Food Annotation. ECAI 2024: 4475-4478- [i10]Lorenzo Brigato, Stavroula G. Mougiakakou:
Tune without Validation: Searching for Learning Rate and Weight Decay on Training Sets. CoRR abs/2403.05532 (2024) - [i9]Lubnaa Abdur Rahman, Ioannis Papathanail, Lorenzo Brigato, Stavroula G. Mougiakakou:
A SAM based Tool for Semi-Automatic Food Annotation. CoRR abs/2410.19756 (2024) - 2023
- [c11]Maria Panagiotou, Ioannis Papathanail, Lubnaa Abdur Rahman, Lorenzo Brigato, Natalie S. Bez, Maria F. Vasiloglou
, Thomai Stathopoulou, Bastiaan E. de Galan, Ulrik Pedersen-Bjergaard, Klazine van der Horst, Stavroula G. Mougiakakou:
A Complete AI-Based System for Dietary Assessment and Personalized Insulin Adjustment in Type 1 Diabetes Self-management. CAIP (2) 2023: 77-86 - [c10]Lorenzo Brigato, Stavroula G. Mougiakakou:
No Data Augmentation? Alternative Regularizations for Effective Training on Small Datasets. ICCV (Workshops) 2023: 139-148 - [c9]Ethan Dack, Lorenzo Brigato, Matthew McMurray, Matthias Fontanellaz, Thomas Frauenfelder, Hanno Hoppe, Aristomenis Exadaktylos, Thomas Geiser, Manuela Funke-Chambour, Andreas Christe, Lukas Ebner, Stavroula G. Mougiakakou:
An Empirical Analysis for Zero-Shot Multi-Label Classification on COVID-19 CT Scans and Uncurated Reports. ICCV (Workshops) 2023: 2626-2635 - [c8]Lubnaa Abdur Rahman, Ioannis Papathanail, Lorenzo Brigato, Stavroula G. Mougiakakou:
A Comparative Analysis of Sensor-, Geometry-, and Neural-Based Methods for Food Volume Estimation. MADiMa@MM 2023: 21-29 - [i8]Lubnaa Abdur Rahman, Ioannis Papathanail, Lorenzo Brigato, Elias K. Spanakis, Stavroula G. Mougiakakou:
Food Recognition and Nutritional Apps. CoRR abs/2307.05372 (2023) - [i7]Lorenzo Brigato, Stavroula G. Mougiakakou:
No Data Augmentation? Alternative Regularizations for Effective Training on Small Datasets. CoRR abs/2309.01694 (2023) - [i6]Ethan Dack, Lorenzo Brigato, Matthew McMurray, Matthias Fontanellaz, Thomas Frauenfelder, Hanno Hoppe, Aristomenis Exadaktylos, Thomas Geiser, Manuela Funke-Chambour, Andreas Christe, Lukas Ebner, Stavroula G. Mougiakakou:
An Empirical Analysis for Zero-Shot Multi-Label Classification on COVID-19 CT Scans and Uncurated Reports. CoRR abs/2309.01740 (2023) - 2022
- [j1]Lorenzo Brigato, Björn Barz, Luca Iocchi, Joachim Denzler:
Image Classification With Small Datasets: Overview and Benchmark. IEEE Access 10: 49233-49250 (2022) - [i5]Lorenzo Brigato, Björn Barz, Luca Iocchi, Joachim Denzler:
Image Classification with Small Datasets: Overview and Benchmark. CoRR abs/2212.12478 (2022) - 2021
- [c7]Lorenzo Brigato, Riccardo Sartea, Stefano Simonazzi, Alessandro Farinelli, Luca Iocchi, Christian Napoli:
Exploiting Time Dynamics for One-Class and Open-Set Anomaly Detection. ICAISC (2) 2021: 137-148 - [c6]Lorenzo Brigato, Björn Barz, Luca Iocchi, Joachim Denzler:
Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification. ICCVW 2021: 1071-1080 - [i4]Lorenzo Brigato, Björn Barz, Luca Iocchi, Joachim Denzler:
Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification. CoRR abs/2108.13122 (2021) - [i3]Björn Barz, Lorenzo Brigato, Luca Iocchi, Joachim Denzler:
A Strong Baseline for the VIPriors Data-Efficient Image Classification Challenge. CoRR abs/2109.13561 (2021) - [i2]Lorenzo Brigato, Luca Iocchi:
On the Effectiveness of Neural Ensembles for Image Classification with Small Datasets. CoRR abs/2111.14493 (2021) - 2020
- [c5]Lorenzo Brigato, Luca Iocchi:
A Close Look at Deep Learning with Small Data. ICPR 2020: 2490-2497 - [i1]Lorenzo Brigato, Luca Iocchi:
A Close Look at Deep Learning with Small Data. CoRR abs/2003.12843 (2020)
2010 – 2019
- 2019
- [c4]Matteo Cognolato, Lorenzo Brigato, Yashin Dicente Cid, Manfredo Atzori, Henning Müller:
Analyzing the Trade-Off Between Training Session Time and Performance in Myoelectric Hand Gesture Recognition During Upper Limb Movement. ICORR 2019: 772-777 - [c3]Matteo Olivato, Omar Cotugno, Lorenzo Brigato, Domenico Bloisi, Alessandro Farinelli, Luca Iocchi:
A Comparative Analysis on the use of Autoencoders for Robot Security Anomaly Detection. IROS 2019: 984-989 - [c2]Nizar Massouh, Lorenzo Brigato, Luca Iocchi:
RoboCup@Home-Objects: Benchmarking Object Recognition for Home Robots. RoboCup 2019: 397-407 - 2018
- [c1]Stefania Colonnese, Andrea Carlesimo, Lorenzo Brigato, Francesca Cuomo:
Qoe-Aware UAV Flight Path Design for Mobile Video Streaming in HetNet. SAM 2018: 301-305
Coauthor Index
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