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Lorenzo Brigato
Lorenzo Brigato
Postdoctoral Researcher @ University of Bern
Verified email at unibe.ch - Homepage
Title
Cited by
Cited by
Year
A Close Look at Deep Learning with Small Data
L Brigato, L Iocchi
International Conference on Pattern Recognition 2020, 2020
1522020
Artificial intelligence and interstitial lung disease: Diagnosis and prognosis
E Dack, A Christe, M Fontanellaz, L Brigato, JT Heverhagen, AA Peters, ...
Investigative radiology 58 (8), 602-609, 2023
192023
Image classification with small datasets: overview and benchmark
L Brigato, B Barz, L Iocchi, J Denzler
IEEE Access 10, 49233-49250, 2022
192022
Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification
L Brigato, B Barz, L Iocchi, J Denzler
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
182021
A Comparative Analysis on the use of Autoencoders for Robot Security Anomaly Detection
M Olivato, O Cotugno, L Brigato, D Bloisi, A Farinelli, L Iocchi
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019
142019
Qoe-Aware UAV Flight Path Design for Mobile Video Streaming in HetNet
S Colonnese, A Carlesimo, L Brigato, F Cuomo
2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM …, 2018
102018
Analyzing the Trade-Off Between Training Session Time and Performance in Myoelectric Hand Gesture Recognition During Upper Limb Movement
M Cognolato, L Brigato, YD Cid, M Atzori, H Müller
2019 IEEE 16th International Conference on Rehabilitation Robotics (ICORR …, 2019
82019
RoboCup@ Home-Objects: benchmarking object recognition for home robots
N Massouh, L Brigato, L Iocchi
RoboCup 2019: Robot World Cup XXIII 23, 397-407, 2019
42019
No Data Augmentation? Alternative Regularizations for Effective Training on Small Datasets
L Brigato, S Mougiakakou
Proceedings of the IEEE/CVF International Conference on Computer Vision, 139-148, 2023
22023
A Strong Baseline for the VIPriors Data-Efficient Image Classification Challenge
B Barz, L Brigato, L Iocchi, J Denzler
arXiv preprint arXiv:2109.13561, 2021
22021
A Comparative Analysis of Sensor-, Geometry-, and Neural-Based Methods for Food Volume Estimation
L Abdur Rahman, I Papathanail, L Brigato, S Mougiakakou
Proceedings of the 8th International Workshop on Multimedia Assisted Dietary …, 2023
12023
The Nutritional Content of Meal Images in Free-Living Conditions—Automatic Assessment with goFOODTM
I Papathanail, L Abdur Rahman, L Brigato, NS Bez, MF Vasiloglou, ...
Nutrients 15 (17), 3835, 2023
12023
An Empirical Analysis for Zero-Shot Multi-Label Classification on COVID-19 CT Scans and Uncurated Reports
E Dack, L Brigato, M McMurray, M Fontanellaz, T Frauenfelder, H Hoppe, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
12023
On the Effectiveness of Neural Ensembles for Image Classification with Small Datasets
L Brigato, L Iocchi
arXiv preprint arXiv:2111.14493, 2021
12021
Exploiting Time Dynamics for One-Class and Open-Set Anomaly Detection
L Brigato, R Sartea, S Simonazzi, A Farinelli, L Iocchi, C Napoli
Artificial Intelligence and Soft Computing: 20th International Conference …, 2021
12021
Tune without Validation: Searching for Learning Rate and Weight Decay on Training Sets
L Brigato, S Mougiakakou
arXiv preprint arXiv:2403.05532, 2024
2024
A Complete AI-Based System for Dietary Assessment and Personalized Insulin Adjustment in Type 1 Diabetes Self-management
M Panagiotou, I Papathanail, L Abdur Rahman, L Brigato, NS Bez, ...
International Conference on Computer Analysis of Images and Patterns, 77-86, 2023
2023
Food Recognition and Nutritional Apps
L Abdur Rahman, I Papathanail, L Brigato, EK Spanakis, S Mougiakakou
arXiv e-prints, arXiv: 2307.05372, 2023
2023
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