Early prediction of the risk of ICU mortality with Deep Federated Learning. - Korbinian Randl; Núria Lladós Armengol; Lena Mondrejevski; Ioanna Miliou (CBMS, 2023)

A Workflow for Creating Multimodal Machine Learning Models for Metastasis Predictions in Melanoma Patients. - Franco Rugolon; Korbinian Randl; Maria Bampa; Panagiotis Papapetrou (PKDD/ECML Workshops (4), 2023)

CICLe: Conformal In-Context Learning for Largescale Multi-Class Food Risk Classification. - Korbinian Randl; John Pavlopoulos; Aron Henriksson; Tony Lindgren (ACL (Findings), 2024)

Evaluating the Reliability of Self-explanations in Large Language Models. - Korbinian Randl; John Pavlopoulos; Aron Henriksson; Tony Lindgren (DS (1), 2024)

LongDoc Summarization using Instruction-tuned Large Language Models for Food Safety Regulations. - Guido Rocchietti; Cosimo Rulli; Korbinian Randl; Cristina Ioana Muntean; Franco Maria Nardini; Raffaele Perego 001; Salvatore Trani; Manos Karvounis; Jakub Janostik (IIR, 2024)

Automotive fault nowcasting with machine learning and natural language processing. - John Pavlopoulos; Alv Romell; Jacob Curman; Olof Steinert; Tony Lindgren; Markus Borg; Korbinian Randl (Mach. Learn., 2024)

SemEval-2025 Task 9: The Food Hazard Detection Challenge. - Korbinian Randl; John Pavlopoulos; Aron Henriksson; Tony Lindgren; Juli Bakagianni (CoRR, 2025)