Publications

Sandra Hummel, Bridget Sheehan, Ly Monirith, and T. Mukunthan. Assessing Learning Results. In Sandra Hummel (Eds.), CONTESSA: Contemporary Teaching Skills for South-East Asia, 92--124, University of Graz, 2021. [PUMA: FIS_scads imported]

Sandra Hummel, Mirjam Brodacz-Geier, K.D.R.L.J. Perera, M.G.D.A. Siriwardena, and L. Monirith. E-Pedagogy and Digitally Enhanced Learning Environments. In Sandra Hummel (Eds.), CONTESSA: Contemporary Teaching Skills for South-East Asia, 254--275, University of Graz, 2021. [PUMA: FIS_scads imported]

Bernd Hackl, and Sandra Hummel. Easter Holidays: Corporal Communication and What is Learned in School. In B. Bergstedt, A. Herbert, A. Kraus, and C. Wulf (Eds.), Tacit Dimensions of Pedagogy, 73--95, Waxmann Verlag GMBH, Germany, 2012. [PUMA: FIS_scads imported]

Sandra Hummel. Teaching International: Higher Education in Kambodscha und Sri Lanka. Weiterbildung : Zeitschrift für Grundlagen, Praxis und Trends, (2018)6:38--41, ZIEL-Verlag, 2018. [PUMA: FIS_scads imported]

Sandra Hummel, and Bernd Hackl. Velikonocní prázdniny: co se lze ve skole naucit z reci tĕla. Studia Paedagogica, (16)1:137--159, Masaryk University, Faculty of Arts, 2011. [PUMA: FIS_scads imported]

A. Czejkowska, H. Feichter, Sandra Hummel, J. Seyss-Inquart, and K. Strausz. Offen lernen: Kindorientierter Unterricht in Forschung und Praxis. Arts & Culture & Education, Löcker, 2018. [PUMA: FIS_scads imported]

Sandra Hummel, Mirjam Brodacz-Geier, L. Monirith, S.A.S.K. Perera, and U.G. Chanrajith. Online-Based Lesson Preparation & Conduction. In Sandra Hummel (Eds.), CONTESSA: Contemporary Teaching Skills for South-East Asia, 309--332, University of Graz, 2021. [PUMA: FIS_scads imported]

Mana-Teresa Donner. Teststatistische Überprüfung und Validierung der Magna Employee Opinion Survey. 2021. [PUMA: FIS_scads imported]

Sandra Hummel, Mirjam Brodacz-Geier, and S.S. Dahanayake. Lifeworld-References and Future Prospect. In Sandra Hummel (Eds.), CONTESSA: Contemporary Teaching Skills for South-East Asia, 162--171, University of Graz, 2021. [PUMA: FIS_scads imported]

Rudolf Egger, and Sandra Hummel. Stolperstein oder Kompetenzstufe: Die Studieneingangsphase und ihre Bedeutung für die Wissenschaftssozialisation von Studierenden. Lernweltforschung, SPRINGER VS/SPRINGER FACHMEDIEN, Deutschland, 2020. [PUMA: FIS_scads imported]

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

Marvin Hofer, Johannes Frey, and 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, and 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, and 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, and 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, and 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, and 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, and others. Genomic events stratifying prognosis of early gastric cancer. Gastric Cancer, 1--12, Springer, 2024. [PUMA: topic_lifescience area_bigdata ep imported]

Antonia Sophia Peter, Dieter S Hoffmann, Johannes Klier, Christina M Lange, Johanna Möller, Victoria Most, Christina K Wüst, Max Beining, Sevilay Gülesen, Hannes Junker, Jens Meiler, Clara Schoeder, and others. Strategies of rational and structure-driven vaccine design for Arenaviruses. Infection, Genetics and Evolution, 105626, Elsevier, 2024. [PUMA: imported]

Nishant Kumar, Lukas Krause, Thomas Wondrak, Sven Eckert, Kerstin Eckert, and Stefan Gumhold. Learning to reconstruct the bubble distribution with conductivity maps using Invertible Neural Networks and Error Diffusion. arXiv preprint arXiv:2307.02496, 2023. [PUMA: topic_visualcomputing imported]