Lorenzo Brigato

University of Bern — Switzerland

Computer Science · Physical Sciences

8h-index352citations42works0.82yr avg
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Research Topics

Advanced Neural Network Applications(14), Domain Adaptation and Few-Shot Learning(9), COVID-19 diagnosis using AI(9), Diabetes Management and Research(5), Nutritional Studies and Diet(5)

Publications42 total

iSPHYNCS: Unsupervised Clustering in Questionnaires and Metadata Reveals Distinct Subtypes in the Narcolepsy Borderland.
Open Access CRIS of the University of Bern·2026Open Access
<scp>iSPHYNCS</scp> : Unsupervised Clustering in Questionnaires and Metadata Reveals Distinct Subtypes in the Narcolepsy Borderland
Journal of Sleep Research·2026Open Access
Unmasking Interstitial Lung Diseases: Leveraging Masked Autoencoders for Diagnosis
Lecture notes in computer science·2025
iSPHYNCS: Enabling long-term actigraphy with vital signals in a comparison between Fitbit Inspire 2/HR and MotionWatch 8 for non-parametric circadian rhythm analysis
Smart Health·2025Open Access
Role of artificial intelligence in enhancing insulin recommendations and therapy outcomes
Die Diabetologie·2025· 4 citedOpen Access
AI-Based Analysis of Abdominal Ultrasound Images to Support Medical Diagnosis in Emergency Departments
Studies in health technology and informatics·2025· 1 citedOpen Access
iSPHYNCS: Unsupervised clustering in questionnaires and metadata reveals distinct subtypes in the narcolepsy borderland
2025Open Access
There are no Champions in Supervised Long-Term Time Series Forecasting
ArXiv.org·2025· 1 citedOpen Access
Personalized Insulin Adjustment With Reinforcement Learning: An In-Silico Validation for People With Diabetes on Intensive Insulin Treatment
Open Access CRIS of the University of Bern·2025Open Access
Benchmarking Post-Hoc Unknown-Category Detection in Food Recognition
Lecture notes in computer science·2025
Personalized Insulin Adjustment With Reinforcement Learning: An In-Silico Validation for People With Diabetes on Intensive Insulin Treatment
IEEE Access·2025· 3 citedOpen Access
AI-Based Analysis of Abdominal Ultrasound Images to Support Medical Diagnosis in Emergency Departments
BFH: ARBOR·2025Open Access
Reducing meat consumption using a diet-related written prompt and the Swiss food pyramid: A field study
Food Quality and Preference·2024· 2 citedOpen Access
A SAM Based Tool for Semi-Automatic Food Annotation
Frontiers in artificial intelligence and applications·2024Open Access
Tune without Validation: Searching for Learning Rate and Weight Decay on Training Sets
arXiv (Cornell University)·2024Open Access
Personalised Insulin Adjustment with Reinforcement Learning: An In-Silico Validation for People with Diabetes on Intensive Insulin Treatment
SSRN Electronic Journal·2024Open Access
Food Recognition and Nutritional Apps
Elsevier eBooks·2024· 3 cited
Contributors
Elsevier eBooks·2024Open Access
A Comparative Analysis of Sensor-, Geometry-, and Neural-Based Methods for Food Volume Estimation
2023· 4 citedOpen Access
No Data Augmentation? Alternative Regularizations for Effective Training on Small Datasets
2023· 3 cited
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Frequent Co-authors

Stavroula Mougiakakou(25), Luca Iocchi(13), Ioannis Papathanail(9), Lubnaa Abdur Rahman(9), Ethan Dack(6), Maria Panagiotou(6), Björn Barz(5), Joachim Denzler(5), Rafael Morand(5), Hanno Hoppe(4), Lukas Ebner(4), Bastiaan E. de Galan(4), Aristomenis K. Exadaktylos(4), Julia van der Meer(4), Elena Wenz(4), Kseniia Zub(4), Andreas Christe(3), Matthias Fontanellaz(3), Ulrik Pedersen‐Bjergaard(3), Vivien Streit(3)