Personal Task Design Preferences of Crowdworkers. - Matthias Hirth; Kathrin Borchert; Katrien De Moor; Vanessa Borst; Tobias Hoßfeld (QoMEX, 2020)

Deep Neural Network Regression for Normalized Digital Surface Model Generation With Sentinel-2 Imagery. - Konstantin Müller; Robert Leppich; Christian Geiß; Vanessa Borst; Patrick Aravena Pelizari; Samuel Kounev; Hannes Taubenböck (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

MACRO: A Multi-Head Attentional Convolutional Recurrent Network for the Classification of Co-Occurring Diseases in 12-Lead ECGs. - Vanessa Borst; Robert Leppich; Samuel Kounev (BHI, 2024)

Early Explorations of Lightweight Models for Wound Segmentation on Mobile Devices. - Vanessa Borst; Timo Dittus; Konstantin Müller; Samuel Kounev (KI, 2024)

Time Series Representation Models. - Robert Leppich; Vanessa Borst; Veronika Lesch; Samuel Kounev (CoRR, 2024)

Quantifying Data Leakage in Failure Prediction Tasks. - Daniel Grillmeyer; Marius Hadry; Veronika Lesch; Vanessa Borst; Robert Leppich; André Bauer 001; Samuel Kounev (ICPE, 2025)

Quantifying Data Leakage in Failure Prediction Tasks. - Daniel Grillmeyer; Veronika Lesch; Marius Hadry; Vanessa Borst; Robert Leppich; André Bauer 001; Samuel Kounev (Zenodo, 2025)

WoundAmbit: Bridging State-of-the-Art Semantic Segmentation and Real-World Wound Care. - Vanessa Borst; Timo Dittus; Tassilo Dege; Astrid Schmieder; Samuel Kounev (CoRR, 2025)

TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation. - Robert Leppich; Michael Stenger; Daniel Grillmeyer; Vanessa Borst; Samuel Kounev (CoRR, 2025)

WoundAIssist: A Patient-Centered Mobile App for AI-Assisted Wound Care With Physicians in the Loop. - Vanessa Borst; Anna Riedmann; Tassilo Dege; Konstantin Müller; Astrid Schmieder; Birgit Lugrin; Samuel Kounev (CoRR, 2025)