Publications

Weizhou Luo, Zhongyuan Yu, Rufat Rzayev, Marc Satkowski, Stefan Gumhold, Matthew McGinity, und Raimund Dachselt. PEARL: Physical Environment based Augmented Reality Lenses for In-Situ Human Movement Analysis. CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 19.04.2023. [PUMA: Analytics, FIS_scads Immersive In-situ affordance, analysis, augmented/mixed data movement physical reality, referents, topic_visualcomputing visualization xack]

Elias Werner. Towards Highly Performant Context Awareness in the Internet of Things. In José Manuel Machado, Pablo Chamoso, Guillermo Hernández, Grzegorz Bocewicz, Roussanka Loukanova, Roussanka Loukanova, Esteban Jove, Angel Martin del Rey, und Michela Ricca (Hrsg.), Distributed Computing and Artificial Intelligence, Special Sessions, 19th International Conference, (583):165--170, Springer Link, Februar 2023. [PUMA: area_bigdata Concept FIS_scads IoT Performance analysis, detection, drift]

Andreas Müller, Deborah Schmidt, Jan Philipp Albrecht, Lucas Rieckert, Maximilian Otto, Leticia Elizabeth Galicia Garcia, Gunar Fabig, Michele Solimena, und Martin Weigert. Modular segmentation, spatial analysis and visualization of volume electron microscopy datasets. Nature protocols, (19)5:1436--1466, Nature Publishing Group, Mai 2024. [PUMA: Analysis, Computer-Assisted/methods, Electron Electron/methods, FIS_scads Humans, Image Imaging, Microscopy Microscopy, Organelles/ultrastructure, Processing, Software, Spatial Three-Dimensional/methods, Volume]

Vincent D. Friedrich, Peter Pennitz, Emanuel Wyler, Julia M. Adler, Dylan Postmus, Kristina Müller, Luiz Gustavo Teixeira Alves, Julia Prigann, Fabian Pott, Daria Vladimirova, Thomas Hoefler, Cengiz Goekeri, Markus Landthaler, Christine Goffinet, Antoine-Emmanuel Saliba, Markus Scholz, Martin Witzenrath, Jakob Trimpert, Holger Kirsten, und Geraldine Nouailles. Neural network-assisted humanisation of COVID-19 hamster transcriptomic data reveals matching severity states in human disease. eBioMedicine, (108):105312, 2024. [PUMA: topic_mathfoundation COVID-19, Cross-species Deep Disease Hamster RNA-seq, Single-cell analysis, learning matching, model, state] URL

Suryanarayana Maddu, Bevan L. Cheeseman, Ivo F. Sbalzarini, und Christian L. Müller. Stability selection enables robust learning of partial differential equations from limited noisy data. arXiv, 2019. [PUMA: (cs.LG), (math.NA), (physics.data-an), Analysis Analysis, Computer Data FOS: Learning Machine Mathematics, Numerical Physical Probability Statistics and information sciences sciences,] URL

Ulrich von Zadow, und Raimund Dachselt. GIAnT: Visualizing Group Interaction at Large Wall Displays. Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2639–2647, Association for Computing Machinery, New York, NY, USA, 2017. [PUMA: analysis, awareness, collaborative coupling, multitouch, navigation, physical territoriality, visual visualization work,] URL

Lars Kegel, Martin Hahmann, und Wolfgang Lehner. Generating What-If Scenarios for Time Series Data. Proceedings of the 29th International Conference on Scientific and Statistical Database Management, Association for Computing Machinery, New York, NY, USA, 2017. [PUMA: analysis, analytics business hypothetical query, scenario, series time what-if] URL

Yedhu Sastri, Kim Feldhoff, Jörn Starruß, René Jäkel, und Ralph Müller-Pfefferkorn. A Workflow for the Integral Performance Analysis of Cloud Applications Using Monitoring and Tracing Techniques. Proceedings of the 2017 International Conference on Cloud and Big Data Computing, 73–78, Association for Computing Machinery, New York, NY, USA, 2017. [PUMA: Cloud Container, Docker Micro Monitoring, Performance Score-P, Tracing, Workflow, analysis, application, collectd, services,] URL