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Univ. -Prof. Dr. Daniel Weiskopf University of Stuttgart

Dataset for NMF-based Analysis of Mobile Eye-Tracking Data, , , and . Dataset, (2024)Related to: Daniel Klötzl, Tim Krake, Frank Heyen, Michael Becher, Maurice Koch, Daniel Weiskopf, and Kuno Kurzhals. 2024. NMF-Based Analysis of Mobile Eye-Tracking Data. In 2024 Symposium on Eye Tracking Research and Applications (ETRA ’24), June 4-7, 2024, Glasgow, United Kingdom. ACM, New York, NY, USA, 9 pages. doi: 10.1145/3649902.3653518.
Dataset for NMF-based Analysis of Mobile Eye-Tracking Data, , , and . Dataset, (2024)Related to: Daniel Klötzl, Tim Krake, Frank Heyen, Michael Becher, Maurice Koch, Daniel Weiskopf, and Kuno Kurzhals. 2024. NMF-Based Analysis of Mobile Eye-Tracking Data. In 2024 Symposium on Eye Tracking Research and Applications (ETRA ’24), June 4-7, 2024, Glasgow, United Kingdom. ACM, New York, NY, USA, 9 pages. doi: 10.1145/3649902.3653518.Visual Analysis System to Explore the Visual Quality of Multidimensional Time Series Projections, and . Software, (2024)Related to: T. Munz-Körner, D. Weiskopf, Exploring visual quality of multidimensional time series projections, Visual Informatics (2024). doi: 10.1016/j.visinf.2024.04.004.Supplemental Material for "Exploring Visual Quality of Multidimensional Time Series Projections", and . Dataset, (2024)Related to: T. Munz-Körner, D. Weiskopf, Exploring visual quality of multidimensional time series projections, Visual Informatics (2024). doi: 10.1016/j.visinf.2024.04.004.
 

Other publications of authors with the same name

Modeling and analysis of gene regulatory networks with a Bayesian-driven approach., , , , and . ISCIT, page 289-293. IEEE, (2014)SWAP-Assembler 2: Optimization of De Novo Genome Assembler at Extreme Scale., , , , , and . ICPP, page 195-204. IEEE Computer Society, (2016)Lock Contention Management in Multithreaded MPI., , , , , , and . TOPC, 5 (3): 12:1-12:21 (2018)K-mer Counting for Genomic Big Data., , , , , , , and . BigData Congress, volume 10968 of Lecture Notes in Computer Science, page 345-351. Springer, (2018)Ensemble Learning Based Gender Recognition from Physiological Signals., , , , , , and . BigData Congress, volume 10968 of Lecture Notes in Computer Science, page 352-359. Springer, (2018)Evaluation of residue-residue contact prediction methods: From retrospective to prospective., , , , , , , , and . PLoS Comput. Biol., (2021)Any-Time Methods for Time-Series Prediction with Missing Observations., , , , and . BigData Congress, page 427-430. IEEE Computer Society, (2017)Bloomfish: A Highly Scalable Distributed K-mer Counting Framework., , , , , , , and . ICPADS, page 170-179. IEEE Computer Society, (2017)A novel virtual drug screening pipeline with deep-leaning as core component identifies inhibitor of pancreatic alpha-amylase., , , , , , , , , and . BIBM, page 104-111. IEEE, (2021)SWAP-Assembler: scalable and efficient genome assembly towards thousands of cores., , , , and . BMC Bioinformatics, 15 (S-9): S2 (2014)