Learning to Predict Security Constraints for Large-Scale Unit Commitment Problems. - Rafael Sterzinger; Jan Poland; Max B. Paulus; Didier Chételat (ISGT EUROPE, 2023)

Drawing the Line: Deep Segmentation for Extracting Art from Ancient Etruscan Mirrors. - Rafael Sterzinger; Simon Brenner; Robert Sablatnig (ICDAR (3), 2024)

Through-Wall Imaging Based On WiFi Channel State Information. - Julian Strohmayer; Rafael Sterzinger; Christian Stippel; Martin Kampel (ICIP, 2024)

Exploring Machine Learning for Faster Mapping and Scheduling of Automotive Applications on ADAS Platforms. - Rafael Sterzinger; Wolfgang Koch; Ralph Hoch (ICMLA, 2024)

Online HVAC Optimization under Comfort Constraints via Reinforcement Learning. - Christian Stippel; Rafael Sterzinger; David Sengl; Aleksey Bratukhin; Markus Kobelrausch; Stefan Wilker; Thilo Sauter (ICPS, 2024)

Fusing Forces: Deep-Human-Guided Refinement of Segmentation Masks. - Rafael Sterzinger; Christian Stippel; Robert Sablatnig (ICPR (12), 2024)

Closing the Gap in Human Behavior Analysis: A Pipeline for Synthesizing Trimodal Data. - Christian Stippel; Thomas Heitzinger; Rafael Sterzinger; Martin Kampel (PerCom Workshops, 2024)

DATTA: Domain-Adversarial Test-Time Adaptation for Cross-Domain WiFi-Based Human Activity Recognition. - Julian Strohmayer; Rafael Sterzinger; Matthias Wödlinger; Martin Kampel (CoRR, 2024)

Few-Shot Segmentation of Historical Maps via Linear Probing of Vision Foundation Models. - Rafael Sterzinger; Marco Peer; Robert Sablatnig (CoRR, 2025)