Lorenzo Brigato

According to our database, Lorenzo Brigato authored at least 17 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Tune without Validation: Searching for Learning Rate and Weight Decay on Training Sets.

Lorenzo Brigato, Stavroula G. Mougiakakou

CoRR, 2024

2023

Food Recognition and Nutritional Apps.

Lubnaa Abdur Rahman, Ioannis Papathanail, Lorenzo Brigato, Elias K. Spanakis, Stavroula G. Mougiakakou

CoRR, 2023

A Comparative Analysis of Sensor-, Geometry-, and Neural-Based Methods for Food Volume Estimation.

Lubnaa Abdur Rahman, Ioannis Papathanail, Lorenzo Brigato, Stavroula G. Mougiakakou

Proceedings of the 8th International Workshop on Multimedia Assisted Dietary Management, 2023

An Empirical Analysis for Zero-Shot Multi-Label Classification on COVID-19 CT Scans and Uncurated Reports.

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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

No Data Augmentation? Alternative Regularizations for Effective Training on Small Datasets.

Lorenzo Brigato, Stavroula G. Mougiakakou

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

A Complete AI-Based System for Dietary Assessment and Personalized Insulin Adjustment in Type 1 Diabetes Self-management.

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

Proceedings of the Computer Analysis of Images and Patterns, 2023

2022

Image Classification with Small Datasets: Overview and Benchmark.

Lorenzo Brigato, B. Barz, Luca Iocchi, Joachim Denzler

CoRR, 2022

Image Classification With Small Datasets: Overview and Benchmark.

Lorenzo Brigato, Björn Barz, Luca Iocchi, Joachim Denzler

IEEE Access, 2022

2021

On the Effectiveness of Neural Ensembles for Image Classification with Small Datasets.

Lorenzo Brigato, Luca Iocchi

CoRR, 2021

A Strong Baseline for the VIPriors Data-Efficient Image Classification Challenge.

Björn Barz, Lorenzo Brigato, Luca Iocchi, Joachim Denzler

CoRR, 2021

Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification.

Lorenzo Brigato, Björn Barz, Luca Iocchi, Joachim Denzler

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Exploiting Time Dynamics for One-Class and Open-Set Anomaly Detection.

Lorenzo Brigato, Riccardo Sartea, Stefano Simonazzi, Alessandro Farinelli, Luca Iocchi, Christian Napoli

Proceedings of the Artificial Intelligence and Soft Computing, 2021

2020

A Close Look at Deep Learning with Small Data.

Lorenzo Brigato, Luca Iocchi

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

RoboCup@Home-Objects: Benchmarking Object Recognition for Home Robots.

Nizar Massouh, Lorenzo Brigato, Luca Iocchi

Proceedings of the RoboCup 2019: Robot World Cup XXIII [Sydney, 2019

A Comparative Analysis on the use of Autoencoders for Robot Security Anomaly Detection.

Matteo Olivato, Omar Cotugno, Lorenzo Brigato, Domenico Bloisi, Alessandro Farinelli, Luca Iocchi

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Analyzing the Trade-Off Between Training Session Time and Performance in Myoelectric Hand Gesture Recognition During Upper Limb Movement.

Matteo Cognolato, Lorenzo Brigato, Yashin Dicente Cid, Manfredo Atzori, Henning Müller

Proceedings of the 16th IEEE International Conference on Rehabilitation Robotics, 2019

2018

Qoe-Aware UAV Flight Path Design for Mobile Video Streaming in HetNet.

Stefania Colonnese, Andrea Carlesimo, Lorenzo Brigato, Francesca Cuomo

Proceedings of the 10th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2018