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Research Portal of the TU Dresden

Prof. Dr. rer. pol. Pascal Kerschke
Person

Affiliations

Chair of Big Data Analytics in Transportation (TT)
- Full Professor
- pascal.kerschke@tu-dresden.de

Identification Numbers

ORCID	0000-0003-2862-1418
Scopus author ID	56336853600
Researcher ID	B-8845-2017

Related content

Research output
Activities
Prizes

Physical Layer Security: Learning-Aided Attack Detection based on 5G NR SRS

Ninnemann, J., Rauschert, F., Schwarzbach, P., Kerschke, P. & Michler, O., 30 Sept 2024, 2024 IEEE Conference on Communications and Network Security (CNS). p. 1-6

Research output: Contribution to book/conference proceedings/anthology/report › Conference contribution › Contributed › peer-review

Dancing to the State of the Art? How Candidate Lists Influence LKH for Solving the Traveling Salesperson Problem

Heins, J., Schäpermeier, L., Kerschke, P. & Whitley, D., 7 Sept 2024, Parallel Problem Solving from Nature – PPSN XVIII: 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14–18, 2024, Proceedings, Part I. Affenzeller, M., Winkler, S. M., Kononova, A. V., Bäck, T., Trautmann, H., Tušar, T. & Machado, P. (eds.). p. 100-115 16 p. (Lecture Notes in Computer Science, Vol. 15148).

Research output: Contribution to book/conference proceedings/anthology/report › Conference contribution › Contributed › peer-review

Reinvestigating the R2 Indicator: Achieving Pareto Compliance by Integration

Schäpermeier, L. & Kerschke, P., 7 Sept 2024, Parallel Problem Solving from Nature – PPSN XVIII: 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14–18, 2024, Proceedings, Part IV. Affenzeller, M., Winkler, S. M., Kononova, A. V., Bäck, T., Trautmann, H., Tušar, T. & Machado, P. (eds.). p. 202-216 15 p. (Lecture Notes in Computer Science, Vol. 15151).

Research output: Contribution to book/conference proceedings/anthology/report › Conference contribution › Contributed › peer-review

Impact of Training Instance Selection on Automated Algorithm Selection Models for Numerical Black-box Optimization

Dietrich, K., Vermetten, D., Doerr, C. & Kerschke, P., 14 Jul 2024, Proceedings of the Genetic and Evolutionary Computation Conference. Association for Computing Machinery (ACM), p. 1007 - 1016 10 p.

Research output: Contribution to book/conference proceedings/anthology/report › Conference contribution › Contributed › peer-review

Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features

Prager, R. P., Dietrich, K., Schneider, L., Schäpermeier, L., Bischl, B., Kerschke, P., Trautmann, H., & 1 othersMersmann, O., 30 Aug 2023, FOGA '23: Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms. p. 129-139 11 p.

Research output: Contribution to book/conference proceedings/anthology/report › Conference contribution › Contributed › peer-review

View all research output (62)

Interpretable Spatiotemporal Feature Selection for Solar Power Forecasts

Leyser, M. (Speaker), Kerschke, P. (Involved person), Schäpermeier, L. (Involved person)

22 May 2024

Activity: Talk or presentation at external institutions/events › Talk/Presentation › Contributed

View all activities (1)

Best Paper Award auf der PPSN XVIII

Schäpermeier, L. (Recipient) & Kerschke, P. (Recipient), 18 Sept 2024

Prize: Publication/Conference prize

View all prizes (1)