Chair of Big Data Analytics in Transportation (TT)
Organisational unit: Chair
Organisation profile
Chair Holder: Prof. Dr. rer. pol. Pascal Kerschke
Contact
- TUD website: https://tu-dresden.de/bu/verkehr/ivw/bda
Related content and researchers (public profile)
- Researchers (public profile)
- Research output
- Journals
- Activities
- Prizes
Leyser, Markus
- Boysen TUD Research Training Group - Academic Staff
- Chair of Big Data Analytics in Transportation (TT) - Academic Staff
Person
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. 1-6Research 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
Congress on Evolutionary Computation (CEC)
ISSNs: 1089-778X
Additional searchable ISSN (electronic): 1941-0026
Institute of Electrical and Electronics Engineers Inc., United States of America
Scopus rating (2023): CiteScore 21.9 SJR 5.209 SNIP 3.517
Journal: Book series
Natural computing : an innovative journal bridging biosciences and computer sciences ; an international journal
ISSNs: 1567-7818
Additional searchable ISSN (electronic): 1572-9796
Springer, Dordrecht [u. a.], Netherlands
Scopus rating (2023): CiteScore 4.4 SJR 0.578 SNIP 0.984
Journal
Applied soft computing : the official journal of the World Federation on Soft Computing (WFSC)
ISSNs: 1568-4946
Additional searchable ISSN (electronic): 1568-4946
Elsevier Science B.V., Netherlands
Scopus rating (2023): CiteScore 15.8 SJR 1.843 SNIP 2.13
Journal
Theoretical computer science : the journal of the EATCS
ISSNs: 0304-3975
Elsevier, Amsterdam ; Jena [u.a.], Netherlands
Scopus rating (2023): CiteScore 2.6 SJR 0.57 SNIP 0.946
Journal
Computational Statistics
ISSNs: 0943-4062
Springer Verlag
Scopus rating (2023): CiteScore 2.9 SJR 0.566 SNIP 1.14
Journal
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
Best Paper Award auf der PPSN XVIII
Schäpermeier, L. (Recipient) & Kerschke, P. (Recipient), 18 Sept 2024
Prize: Publication/Conference prize