Prof. Dr. rer. pol. Pascal KerschkePerson
Person
Contributors
- Chair of Big Data Analytics in Transportation (TT)- Full Professor
11 - 20 out of 62Page size: 10
62 Research output
2022
Mixture of Decision Trees for Interpretable Machine Learning
Brüggenjürgen, S., Schaaf, N., Kerschke, P. & Huber, M. F., Dec 2022, Proceedings - 21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022. Wani, M. A., Kantardzic, M., Palade, V., Neagu, D., Yang, L. & Chan, K.-Y. (eds.). p. 1175-1182 8 p.Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Plotting Impossible? Surveying Visualization Methods for Continuous Multi-Objective Benchmark Problems
Schäpermeier, L., Grimme, C. & Kerschke, P., Dec 2022, In: Congress on Evolutionary Computation (CEC). 26, 6, p. 1306-1320 15 p.Research output: Contribution to journal › Research article › Contributed › peer-review
PublishedProcess-Oriented Stream Classification Pipeline: A Literature Review
Clever, L., Pohl, J. S., Bossek, J., Kerschke, P. & Trautmann, H., 9 Sept 2022, In: Applied sciences. 12, 18, 9094.Research output: Contribution to journal › Review article › Contributed › peer-review
The objective that freed me: a multi-objective local search approach for continuous single-objective optimization
Aspar, P., Steinhoff, V., Schäpermeier, L., Kerschke, P., Trautmann, H. & Grimme, C., 5 Sept 2022, In: Natural computing : an innovative journal bridging biosciences and computer sciences ; an international journal. 22, 2, p. 271 - 285 15 p.Research output: Contribution to journal › Research article › Contributed › peer-review
PublishedA collection of deep learning-based feature-free approaches for characterizing single-objective continuous fitness landscapes
Seiler, M. V., Prager, R. P., Kerschke, P. & Trautmann, H., 8 Jul 2022, GECCO 2022 - Proceedings of the 2022 Genetic and Evolutionary Computation Conference. p. 657-665 9 p.Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
PublishedMOLE: Digging Tunnels Through Multimodal Multi-objective Landscapes
Schäpermeier, L., Grimme, C. & Kerschke, P., 8 Jul 2022, GECCO 2022 - Proceedings of the 2022 Genetic and Evolutionary Computation Conference. p. 592-600 9 p.Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Estimation of component reliability from superposed renewal processes by means of latent variables
Rodrigues, A., Kerschke, P., Pereira, C. A. D. B., Trautmann, H., Wagner, C., Hellingrath, B. & Polpo, A., Mar 2022, In: Computational statistics. 37, 1, p. 355–379 25 p.Research output: Contribution to journal › Research article › Contributed › peer-review
PublishedAutomated Algorithm Selection in Single-Objective Continuous Optimization: A Comparative Study of Deep Learning and Landscape Analysis Methods
Prager, R. P., Seiler, M. V., Trautmann, H. & Kerschke, P., 2022, Parallel Problem Solving from Nature – PPSN XVII - 17th International Conference, PPSN 2022, Proceedings. Rudolph, G., Kononova, A. V., Aguirre, H., Kerschke, P., Ochoa, G. & Tušar, T. (eds.). p. 3-17 15 p.Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
PublishedBBE: Basin-Based Evaluation of Multimodal Multi-objective Optimization Problems
Heins, J., Rook, J., Schäpermeier, L., Kerschke, P., Bossek, J. & Trautmann, H., 2022, Parallel Problem Solving from Nature – PPSN XVII - 17th International Conference, PPSN 2022, Proceedings. Rudolph, G., Kononova, A. V., Aguirre, H., Kerschke, P., Ochoa, G. & Tušar, T. (eds.). p. 192-206 15 p.Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
PublishedHPO × ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis
Schneider, L., Schäpermeier, L., Prager, R. P., Bischl, B., Trautmann, H. & Kerschke, P., 2022, Parallel Problem Solving from Nature – PPSN XVII - 17th International Conference, PPSN 2022, Proceedings. Rudolph, G., Kononova, A. V., Aguirre, H., Kerschke, P., Ochoa, G. & Tušar, T. (eds.). p. 575-589 15 p.Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Published