A Close Look at Deep Learning with Small Data L Brigato, L Iocchi International Conference on Pattern Recognition 2020, 2020 | 138 | 2020 |
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 | 18 | 2021 |
Image classification with small datasets: overview and benchmark L Brigato, B Barz, L Iocchi, J Denzler IEEE Access 10, 49233-49250, 2022 | 15 | 2022 |
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 | 14 | 2019 |
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 | 12 | 2023 |
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 | 10 | 2018 |
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 | 7 | 2019 |
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 | 3 | 2019 |
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 | 2 | 2023 |
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 | 2 | 2021 |
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 | 1 | 2023 |
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 | 1 | 2023 |
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 | 1 | 2023 |
On the Effectiveness of Neural Ensembles for Image Classification with Small Datasets L Brigato, L Iocchi arXiv preprint arXiv:2111.14493, 2021 | 1 | 2021 |
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 | 1 | 2021 |
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 |