Lorenzo Brigato

32 papers A 2B 1C 1Journal 18Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
There are no Champions in Supervised Long-Term Time Series Forecasting.
Trans. Mach. Learn. Res.
Lorenzo Brigato, Rafael Morand, Knut J. Strømmen, Maria Panagiotou, Markus Schmidt, Stavroula G. Mougiakakou
2025 J jnl
Benchmarking Post-Hoc Unknown-Category Detection in Food Recognition.
CoRR
Lubnaa Abdur Rahman, Ioannis Papathanail, Lorenzo Brigato, Stavroula G. Mougiakakou
2025 J jnl
Personalised Insulin Adjustment with Reinforcement Learning: An In-Silico Validation for People with Diabetes on Intensive Insulin Treatment.
CoRR
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, Peter R. Mertens, Ulrik Pedersen-Bjergaard, Bastiaan E. de Galan, Stavroula G. Mougiakakou
2025 J jnl
Personalized Insulin Adjustment With Reinforcement Learning: An In-Silico Validation for People With Diabetes on Intensive Insulin Treatment.
IEEE Access
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, Peter R. Mertens, Ulrik Pedersen-Bjergaard, Bastiaan E. de Galan, Stavroula G. Mougiakakou
2025 J jnl
Position: There are no Champions in Long-Term Time Series Forecasting.
CoRR
Lorenzo Brigato, Rafael Morand, Knut J. Strømmen, Maria Panagiotou, Markus Schmidt, Stavroula G. Mougiakakou
2025 J jnl
The Role of Artificial Intelligence in Enhancing Insulin Recommendations and Therapy Outcomes.
CoRR
Maria Panagiotou, Knut J. Strømmen, Lorenzo Brigato, Bastiaan E. de Galan, Stavroula G. Mougiakakou
2025 — conf
Unmasking Interstitial Lung Diseases: Leveraging Masked Autoencoders for Diagnosis.
DEMI@MICCAI
Ethan Dack, Lorenzo Brigato, Vasilis Dedousis, Janine Gote-Schniering, Cheryl Magnin, Hanno Hoppe, Aristomenis K. Exadaktylos, Manuela Funke-Chambour, Thomas Geiser, Andreas Christe, Lukas Ebner, Stavroula G. Mougiakakou
2025 J jnl
Unmasking Interstitial Lung Diseases: Leveraging Masked Autoencoders for Diagnosis.
CoRR
Ethan Dack, Lorenzo Brigato, Vasilis Dedousis, Janine Gote-Schniering, Cheryl Magnin, Hanno Hoppe, Aristomenis K. Exadaktylos, Manuela Funke-Chambour, Thomas Geiser, Andreas Christe, Lukas Ebner, Stavroula G. Mougiakakou
2024 A conf
A SAM Based Tool for Semi-Automatic Food Annotation.
ECAI
Lubnaa Abdur Rahman, Ioannis Papathanail, Lorenzo Brigato, Stavroula G. Mougiakakou
2024 J jnl
A SAM based Tool for Semi-Automatic Food Annotation.
CoRR
Lubnaa Abdur Rahman, Ioannis Papathanail, Lorenzo Brigato, Stavroula G. Mougiakakou
2024 — conf
Benchmarking Post-Hoc Unknown-Category Detection in Food Recognition.
ICPR (Workshops and Challenges, 4)
Lubnaa Abdur Rahman, Ioannis Papathanail, Lorenzo Brigato, Stavroula G. Mougiakakou
2024 J jnl
Tune without Validation: Searching for Learning Rate and Weight Decay on Training Sets.
CoRR
Lorenzo Brigato, Stavroula G. Mougiakakou
2023 — conf
A Comparative Analysis of Sensor-, Geometry-, and Neural-Based Methods for Food Volume Estimation.
MADiMa@MM
Lubnaa Abdur Rahman, Ioannis Papathanail, Lorenzo Brigato, Stavroula G. Mougiakakou
2023 — conf
A Complete AI-Based System for Dietary Assessment and Personalized Insulin Adjustment in Type 1 Diabetes Self-management.
CAIP (2)
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
2023 — conf
An Empirical Analysis for Zero-Shot Multi-Label Classification on COVID-19 CT Scans and Uncurated Reports.
ICCV (Workshops)
Ethan Dack, Lorenzo Brigato, Matthew McMurray, Matthias Fontanellaz, Thomas Frauenfelder, Hanno Hoppe, Aristomenis K. Exadaktylos, Thomas Geiser, Manuela Funke-Chambour, Andreas Christe, Lukas Ebner, Stavroula G. Mougiakakou
2023 J jnl
An Empirical Analysis for Zero-Shot Multi-Label Classification on COVID-19 CT Scans and Uncurated Reports.
CoRR
Ethan Dack, Lorenzo Brigato, Matthew McMurray, Matthias Fontanellaz, Thomas Frauenfelder, Hanno Hoppe, Aristomenis K. Exadaktylos, Thomas Geiser, Manuela Funke-Chambour, Andreas Christe, Lukas Ebner, Stavroula G. Mougiakakou
2023 J jnl
Food Recognition and Nutritional Apps.
CoRR
Lubnaa Abdur Rahman, Ioannis Papathanail, Lorenzo Brigato, Elias K. Spanakis, Stavroula G. Mougiakakou
2023 — conf
No Data Augmentation? Alternative Regularizations for Effective Training on Small Datasets.
ICCV (Workshops)
Lorenzo Brigato, Stavroula G. Mougiakakou
2023 J jnl
No Data Augmentation? Alternative Regularizations for Effective Training on Small Datasets.
CoRR
Lorenzo Brigato, Stavroula G. Mougiakakou
2022 J jnl
Image Classification With Small Datasets: Overview and Benchmark.
IEEE Access
Lorenzo Brigato, Björn Barz, Luca Iocchi, Joachim Denzler
2022 J jnl
Image Classification with Small Datasets: Overview and Benchmark.
CoRR
Lorenzo Brigato, Björn Barz, Luca Iocchi, Joachim Denzler
2021 J jnl
A Strong Baseline for the VIPriors Data-Efficient Image Classification Challenge.
CoRR
Björn Barz, Lorenzo Brigato, Luca Iocchi, Joachim Denzler
2021 — conf
Exploiting Time Dynamics for One-Class and Open-Set Anomaly Detection.
ICAISC (2)
Lorenzo Brigato, Riccardo Sartea, Stefano Simonazzi, Alessandro Farinelli, Luca Iocchi, Christian Napoli
2021 J jnl
On the Effectiveness of Neural Ensembles for Image Classification with Small Datasets.
CoRR
Lorenzo Brigato, Luca Iocchi
2021 — conf
Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification.
ICCVW
Lorenzo Brigato, Björn Barz, Luca Iocchi, Joachim Denzler
2021 J jnl
Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification.
CoRR
Lorenzo Brigato, Björn Barz, Luca Iocchi, Joachim Denzler
2020 B conf
A Close Look at Deep Learning with Small Data.
ICPR
Lorenzo Brigato, Luca Iocchi
2020 J jnl
A Close Look at Deep Learning with Small Data.
CoRR
Lorenzo Brigato, Luca Iocchi
2019 A conf
A Comparative Analysis on the use of Autoencoders for Robot Security Anomaly Detection.
IROS
Matteo Olivato, Omar Cotugno, Lorenzo Brigato, Domenico Bloisi, Alessandro Farinelli, Luca Iocchi
2019 — conf
Analyzing the Trade-Off Between Training Session Time and Performance in Myoelectric Hand Gesture Recognition During Upper Limb Movement.
ICORR
Matteo Cognolato, Lorenzo Brigato, Yashin Dicente Cid, Manfredo Atzori, Henning Müller
2019 C conf
RoboCup@Home-Objects: Benchmarking Object Recognition for Home Robots.
RoboCup
Nizar Massouh, Lorenzo Brigato, Luca Iocchi
2018 — conf
Qoe-Aware UAV Flight Path Design for Mobile Video Streaming in HetNet.
SAM
Stefania Colonnese, Andrea Carlesimo, Lorenzo Brigato, Francesca Cuomo