| An effective measure to identify meaningful concepts in engineering design optimization F Lanfermann, S Schmitt, S Menzel 2020 IEEE symposium series on computational intelligence (SSCI), 934-941, 2020 | 8 | 2020 |
| Concept identification for complex engineering datasets F Lanfermann, S Schmitt Advanced Engineering Informatics 53, 101704, 2022 | 5 | 2022 |
| Surrogate-assisted many-objective optimization of building energy management Q Liu, F Lanfermann, T Rodemann, M Olhofer, Y Jin IEEE Computational Intelligence Magazine 18 (4), 14-28, 2023 | 4 | 2023 |
| Understanding Concept Identification as Consistent Data Clustering Across Multiple Feature Spaces F Lanfermann, S Schmitt, P Wollstadt 2022 IEEE International Conference on Data Mining Workshops (ICDMW), 180-189, 2022 | 2 | 2022 |
| Root locus design for the synchronization of multi-agent systems in general directed networks S Khodaverdian, F Lanfermann, J Adamy IFAC-PapersOnLine 48 (22), 150-155, 2015 | 2 | 2015 |
| Identification of energy management configuration concepts from a set of pareto-optimal solutions F Lanfermann, Q Liu, Y Jin, S Schmitt Energy Conversion and Management: X 22, 100576, 2024 | 1 | 2024 |
| Partial Information Decomposition for Continuous Variables based on Shared Exclusions: Analytical Formulation and Estimation DA Ehrlich, K Schick-Poland, A Makkeh, F Lanfermann, P Wollstadt, ... arXiv preprint arXiv:2311.06373, 2023 | | 2023 |
| Method for automatic design concept definition and archetype selection for large sets of designs respecting multiple description spaces F Lanfermann, S Schmitt, S Menzel US Patent App. 17/557,005, 2023 | | 2023 |
| Concept Identification for Complex Data Sets F Lanfermann | | 2023 |
