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Disambiguation of "George, Daniel"

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Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era.

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George Basem Fouad Eskandar University of Stuttgart

Dr. rer. nat. Daniel Hernandez University of Stuttgart

Visualizing How-Provenance Explanations for SPARQL Queries, , , and . Proceedings of the ACM Web Conference 2023, page 212-216. New York, NY, United States, Association for Computing Machinery, (2023)

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.

Daniel Marino

Daniel Roth

 

Other publications of authors with the same name

Deep Neural Networks to Enable Real-time Multimessenger Astrophysics., and . CoRR, (2017)A new algorithm for volume mesh refinement on merging geometries: Application to liver and vascularisation., , , , and . J. Computational Applied Mathematics, (2018)Flexible Hybrid Electronic Circuits and Systems., , , , , , , , , and 1 other author(s). IEEE J. Emerg. Sel. Topics Circuits Syst., 7 (1): 27-37 (2017)Denoising Gravitational Waves with Enhanced Deep Recurrent Denoising Auto-encoders., , , and . ICASSP, page 3237-3241. IEEE, (2019)Denoising Gravitational Waves using Deep Learning with Recurrent Denoising Autoencoders., , , and . CoRR, (2017)Deep Transfer Learning: A new deep learning glitch classification method for advanced LIGO., , and . CoRR, (2017)A model order reduction approach to create patient-specific mechanical models of human liver in computational medicine applications., , , , , , and . Computer Methods and Programs in Biomedicine, (2019)Deep Learning for Real-time Gravitational Wave Detection and Parameter Estimation: Results with Advanced LIGO Data., and . CoRR, (2017)Enabling real-time multi-messenger astrophysics discoveries with deep learning., , , , , , , , , and 50 other author(s). CoRR, (2019)Bulk modulus and volume variation measurement of the liver and the kidneys in vivo using abdominal kinetics during free breathing., , , , , and . Computer Methods and Programs in Biomedicine, 100 (2): 149-157 (2010)