Publications

Jacob Pollack, Hanna Köpcke, und Erhard Rahm. Intermediate Fusion for Multimodal Product Matching. 2024. [PUMA: area_bigdata unit_transfer ep imported]

Marvin Hofer, Johannes Frey, und Erhard Rahm. Towards self-configuring knowledge graph construction pipelines using llms-a case study with rml. Fifth International Workshop on Knowledge Graph Construction@ ESWC2024, 2024. [PUMA: area_bigdata topic_graph ep imported]

Lucas Lange, Nils Wenzlitschke, und Erhard Rahm. Generating Synthetic Health Sensor Data for Privacy-Preserving Wearable Stress Detection. Sensors, (24)10:3052, MDPI, 2024. [PUMA: area_bigdata area_responsibleai ep imported]

Victor Christen, Daniel Obraczka, Marvin Hofer, Martin Franke, und Erhard Rahm. Graph-based Active Learning for Entity Cluster Repair. arXiv preprint arXiv:2401.14992, 2024. [PUMA: area_bigdata topic_graph ep imported]

Benjamin Uhrich, Nils Pfeifer, Martin Schäfer, Oliver Theile, und Erhard Rahm. Physics-informed deep learning to quantify anomalies for real-time fault mitigation in 3D printing. Applied Intelligence, (54)6:4736--4755, Springer, 2024. [PUMA: topic_physchemistry area_bigdata ep imported]

Benjamin Uhrich, Tim Häntschel, Martin Schäfer, und Erhard Rahm. Neural Diffusion Graph Convolutional Network for Predicting Heat Transfer in Selective Laser Melting. International Workshop on Combinatorial Image Analysis, 150--164, 2024. [PUMA: topic_physchemistry area_bigdata ep imported]

Maksim Kukushkin, Martin Bogdan, und Thomas Schmid. BiMAE - A Bimodal Masked Autoencoder Architecture for Single-Label Hyperspectral Image Classification. IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024 - Workshops, Seattle, WA, USA, June 17-18, 2024, 2987--2996, IEEE, 2024. [PUMA: topic_neuroinspired area_bigdata ep imported]

Chiara Molinari, Leonardo Solaini, Francesca Rebuzzi, Gianluca Tedaldi, Davide Angeli, Elisabetta Petracci, Dusan Prascevic, Jan Ewald, Erhard Rahm, Matteo Canale, und others. Genomic events stratifying prognosis of early gastric cancer. Gastric Cancer, 1--12, Springer, 2024. [PUMA: topic_lifescience area_bigdata ep imported]

Fabian Liessmann, Lukas von Bredow, Jens Meiler, und rahm Liebscher, Ines. Targeting adhesion G protein-coupled receptors. Current status and future perspectives. Structure, Elsevier, November 2024. [PUMA: topic_lifescience ADGRG1; ADGRG2; ADGRG3; ADGRG5; ADGRG6; ADGRG7; GPCRs; GPR114; GPR126; GPR128; GPR56; GPR64; GPR97; adhesion area_bigdata discovery; drug ep ligands; molecules; small structure]

Lucas Lange, Maurice-Maximilian Heykeroth, und Erhard Rahm. Assessing the Impact of Image Dataset Features on Privacy-Preserving Machine Learning. arXiv preprint arXiv:2409.01329, arXiv, September 2024. [PUMA: area_responsibleai area_bigdata (cs.CR), (cs.CV), (cs.LG), Computer Cryptography FOS: Learning Machine Pattern Recognition Security Vision and ep information sciences]