Qoe-Aware UAV Flight Path Design for Mobile Video Streaming in HetNet. - Stefania Colonnese; Andrea Carlesimo; Lorenzo Brigato; Francesca Cuomo (SAM, 2018)

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 (ICORR, 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 (IROS, 2019)

RoboCup@Home-Objects: Benchmarking Object Recognition for Home Robots. - Nizar Massouh; Lorenzo Brigato; Luca Iocchi (RoboCup, 2019)

A Close Look at Deep Learning with Small Data. - Lorenzo Brigato; Luca Iocchi (ICPR, 2020)

Exploiting Time Dynamics for One-Class and Open-Set Anomaly Detection. - Lorenzo Brigato; Riccardo Sartea; Stefano Simonazzi; Alessandro Farinelli; Luca Iocchi; Christian Napoli 001 (ICAISC (2), 2021)

Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification. - Lorenzo Brigato; Björn Barz; Luca Iocchi; Joachim Denzler (ICCVW, 2021)

A Strong Baseline for the VIPriors Data-Efficient Image Classification Challenge. - Björn Barz; Lorenzo Brigato; Luca Iocchi; Joachim Denzler (CoRR, 2021)

On the Effectiveness of Neural Ensembles for Image Classification with Small Datasets. - Lorenzo Brigato; Luca Iocchi (CoRR, 2021)

Image Classification With Small Datasets: Overview and Benchmark. - Lorenzo Brigato; Björn Barz; Luca Iocchi; Joachim Denzler (IEEE Access, 2022)

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 (CAIP (2), 2023)

No Data Augmentation? Alternative Regularizations for Effective Training on Small Datasets. - Lorenzo Brigato; Stavroula G. Mougiakakou (ICCV (Workshops), 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 (ICCV (Workshops), 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 (MADiMa@MM, 2023)

Food Recognition and Nutritional Apps. - Lubnaa Abdur Rahman; Ioannis Papathanail; Lorenzo Brigato; Elias K. Spanakis; Stavroula G. Mougiakakou (CoRR, 2023)

A SAM Based Tool for Semi-Automatic Food Annotation. - Lubnaa Abdur Rahman; Ioannis Papathanail; Lorenzo Brigato; Stavroula G. Mougiakakou (ECAI, 2024)

Benchmarking Post-Hoc Unknown-Category Detection in Food Recognition. - Lubnaa Abdur Rahman; Ioannis Papathanail; Lorenzo Brigato; Stavroula G. Mougiakakou (ICPR (Workshops and Challenges, 4), 2024)

Tune without Validation: Searching for Learning Rate and Weight Decay on Training Sets. - Lorenzo Brigato; Stavroula G. Mougiakakou (CoRR, 2024)

Personalized Insulin Adjustment With Reinforcement Learning: An In-Silico Validation for People With Diabetes on Intensive Insulin Treatment. - Maria Panagiotou; Lorenzo Brigato; Vivien Streit; Amanda Hayoz; Stephan Proennecke; Stavros Athanasopoulos; Mikkel T. Olsen; Elizabeth J. den Brok; Cecilie H. Svensson; Konstantinos Makrilakis; Maria Xatzipsalti; Andriani Vazeou; et al. (IEEE Access, 2025)

Position: There are no Champions in Long-Term Time Series Forecasting. - Lorenzo Brigato; Rafael Morand; Knut J. Strømmen; Maria Panagiotou; Markus Schmidt 013; Stavroula G. Mougiakakou (CoRR, 2025)

The Role of Artificial Intelligence in Enhancing Insulin Recommendations and Therapy Outcomes. - Maria Panagiotou; Knut J. Strømmen; Lorenzo Brigato; Bastiaan E. de Galan; Stavroula G. Mougiakakou (CoRR, 2025)

Personalised Insulin Adjustment with Reinforcement Learning: An In-Silico Validation for People with Diabetes on Intensive Insulin Treatment. - Maria Panagiotou; Lorenzo Brigato; Vivien Streit; Amanda Hayoz; Stephan Proennecke; Stavros Athanasopoulos; Mikkel T. Olsen; Elizabeth J. den Brok; Cecilie H. Svensson; Konstantinos Makrilakis; Maria Xatzipsalti; Andriani Vazeou; et al. (CoRR, 2025)