Augment to Prevent: Short-Text Data Augmentation in Deep Learning for Hate-Speech Classification. - Georgios Rizos; Konstantin Hemker; Björn W. Schuller (CIKM, 2019)

Feature Synergy, Redundancy, and Independence in Global Model Explanations using SHAP Vector Decomposition. - Jan Ittner; Lukasz Bolikowski; Konstantin Hemker; Ricardo Kennedy (CoRR, 2021)

CGXplain: Rule-Based Deep Neural Network Explanations Using Dual Linear Programs. - Konstantin Hemker; Zohreh Shams; Mateja Jamnik (TML4H, 2023)

HEALNet - Hybrid Multi-Modal Fusion for Heterogeneous Biomedical Data. - Konstantin Hemker; Nikola Simidjievski; Mateja Jamnik (CoRR, 2023)

HEALNet: Multimodal Fusion for Heterogeneous Biomedical Data. - Konstantin Hemker; Nikola Simidjievski; Mateja Jamnik (NeurIPS, 2024)

MM-Lego: Modular Biomedical Multimodal Models with Minimal Fine-Tuning. - Konstantin Hemker; Nikola Simidjievski; Mateja Jamnik (CoRR, 2024)

PATHS: A Hierarchical Transformer for Efficient Whole Slide Image Analysis. - Zak Buzzard; Konstantin Hemker; Nikola Simidjievski; Mateja Jamnik (CoRR, 2024)

Measuring Cross-Modal Interactions in Multimodal Models. - Laura Wenderoth; Konstantin Hemker; Nikola Simidjievski; Mateja Jamnik (AAAI, 2025)

Multimodal Lego: Model Merging and Fine-Tuning Across Topologies and Modalities in Biomedicine. - Konstantin Hemker; Nikola Simidjievski; Mateja Jamnik (ICLR, 2025)

AI-driven 3D Spatial Transcriptomics. - Cristina Almagro-Pérez; Andrew H. Song; Luca L. Weishaupt; Ahrong Kim; Guillaume Jaume; Drew F. K. Williamson; Konstantin Hemker; Ming Y. Lu; Kritika Singh; Bowen Chen; Long Phi Le; Alexander S. Baras; et al. (CoRR, 2025)