Explainable Deep Learning for Medical Time Series Data. - Thomas Frick; Stefan Glüge; Abbas Rahimi; Luca Benini; Thomas Brunschwiler (MobiHealth, 2020)

Exploring Relationships between Cerebral and Peripheral Biosignals with Neural Networks. - Alexander H. Hatteland; Ricards Marcinkevics; Renaud Marquis; Thomas Frick; Ilona Hubbard; Julia E. Vogt; Thomas Brunschwiler; Philippe Ryvlin (ICDH, 2021)

Preictal onset detection through unsupervised clustering for epileptic seizure prediction. - Alessio Quercia; Thomas Frick; Fabian Emanuel Egli; Nicholas Pullen; Isabelle Dupanloup; Jianbin Tang; Umar Asif; Stefan Harrer; Thomas Brunschwiler (ICDH, 2021)

Active Learning for Imbalanced Civil Infrastructure Data. - Thomas Frick; Diego Antognini; Mattia Rigotti; Ioana Giurgiu; Benjamin F. Grewe; Cristiano Malossi (ECCV Workshops (7), 2022)

Probabilistic Feature Matching for Fast Scalable Visual Prompting. - Thomas Frick; Cezary Skura; Filip Janicki; Roy Assaf; Niccolò Avogaro; Daniel Caraballo; Yagmur Gizem Cinar; Brown Ebouky; Ioana Giurgiu; Takayuki Katsuki; Piotr Kluska; Cristiano Malossi; et al. (IJCAI, 2024)

MC Layer Normalization for calibrated uncertainty in Deep Learning. - Thomas Frick; Diego Antognini; Ioana Giurgiu; Benjamin F. Grewe; Cristiano Malossi; Rong J. B. Zhu; Mattia Rigotti (Trans. Mach. Learn. Res., 2024)

Data Centric AI. - Thomas Frick (2024)

Show or Tell? Effectively prompting Vision-Language Models for semantic segmentation. - Niccolò Avogaro; Thomas Frick; Mattia Rigotti; Andrea Bartezzaghi; Filip Janicki; A. Cristiano I. Malossi; Konrad Schindler; Roy Assaf (Trans. Mach. Learn. Res., 2025)

VP Lab: a PEFT-Enabled Visual Prompting Laboratory for Semantic Segmentation. - Niccolò Avogaro; Thomas Frick; Yagmur Gizem Cinar; Daniel Caraballo; Cezary Skura; Filip Janicki; Piotr Kluska; Brown Ebouky; Nicola Farronato; Florian Scheidegger; Cristiano Malossi; Konrad Schindler; et al. (CoRR, 2025)