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SMCQL: Secure Query Processing for Private Data Networks.

J. Bater, G. Elliott, C. Eggen, S. Goel, A. Kho, und J. Rogers. PVLDB, 10 (6): 673-684 (2017)

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Christina Abele University of Stuttgart

Laurenz Abeln University of Stuttgart

Dr. Quynh Ngo University of Stuttgart

Dataset for NMF-based Analysis of Mobile Eye-Tracking DataM. Koch, K. Kurzhals, Q. Ngo, und D. Weiskopf. 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.

Jan-Philipp Negel

Thin-disk multipass amplifier for fs pulses delivering 400 W of average and 2.0 GW of peak power for linear polarization as well as 235 W and 1.2 GW for radial polarizationJ. Negel, A. Loescher, B. Dannecker, P. Oldorf, S. Reichel, R. Peters, M. Abdou Ahmed, und T. Graf. Applied Physics. B, Lasers and optics, 123 (5): 156 (2017)

Univ. -Prof. Dr. -Ing. Wolfgang Nowak University of Stuttgart

Optimized Predictive Coverage by Averaging Time-Windowed Bayesian DistributionsH. Hsueh, A. Guthke, T. Wöhling, und W. Nowak. Water resources research, 60 (5): e2022WR033280 (2024)

Weitere Publikationen von Autoren mit dem selben Namen

The Chicago Health Atlas: A Public Resource to Visualize Health Conditions and Resources in Chicago.A. Kho, J. Cashy, B. Hota, S. Sims, B. Malin, D. Meltzer, E. Kaleba, und W. Galanter. AMIA, AMIA, (2012)Replication of SCN5A Associations with Electrocardiographic Traits in African Americans from Clinical and Epidemiologic Studies.J. Jeff, K. Brown-Gentry, R. Goodloe, M. Ritchie, J. Denny, A. Kho, L. Armstrong, B. Jr., P. Mayo, M. Allen und 11 andere Autor(en). EvoApplications, Volume 8602 von Lecture Notes in Computer Science, Seite 939-951. Springer, (2014)An effective computerized reminder for contact isolation of patients colonized or infected with resistant organisms.A. Kho, P. Dexter, J. Warvel, A. Belsito, M. Commiskey, S. Wilson, S. Hui, und C. McDonald. I. J. Medical Informatics, 77 (3): 194-198 (2008)Incorporating Intra-Operative Medication Information for Prediction of Post-Operative Atrial Fibrillation.E. Johnson, J. Yu, Y. Deng, D. Melnick, S. Sandhu, F. Ghamsari, M. Etemadi, und A. Kho. ICHI, Seite 1-3. IEEE, (2019)Effects Upon Postoperative Atrial Fibrillation Prediction of Varied Observation Time Windows.Y. Deng, K. Yu, E. Johnson, D. Melnick, S. Sandhu, M. Etemadi, und A. Kho. ICHI, Seite 1-3. IEEE, (2019)Using Electronic Health Records to Identify Patient Cohorts for Drug-Induced Thrombocytopenia, Neutropenia and Liver Injury.J. Pathak, A. Al-Kali, J. Talwalkar, A. Kho, J. Denny, S. Murphy, K. Bruce, M. Durski, und C. Chute. AMIA, AMIA, (2012)An Evaluation of the NQF Quality Data Model for Representing Electronic Health Record Driven Phenotyping Algorithms.W. Thompson, L. Rasmussen, J. Pacheco, P. Peissig, J. Denny, A. Kho, A. Miller, und J. Pathak. AMIA, AMIA, (2012)A Comparison of Automated Methicillin-Resistant Staphylococcus aureus Identification with Current Infection Control Practice.D. Shepherd, J. Friedlin, S. Grannis, S. Hui, und A. Kho. AMIA, AMIA, (2009)Utility of commonly captured data from an EHR to identify hospitalized patients at risk for clinical deterioration.A. Kho, D. Rotz, K. Alrahi, W. Cárdenas, K. Ramsey, D. Liebovitz, G. Noskin, und C. Watts. AMIA, AMIA, (2007)Learning Bundled Care Opportunities from Electronic Medical Records.Y. Chen, A. Kho, D. Liebovitz, C. Ivory, S. Osmundson, J. Bian, und B. Malin. CoRR, (2017)