| A multi-objective approach for profit-driven feature selection in credit scoring N Kozodoi, S Lessmann, K Papakonstantinou, Y Gatsoulis, B Baesens Decision Support Systems 120, 106-117, 2019 | 139 | 2019 |
| Fairness in credit scoring: Assessment, implementation and profit implications N Kozodoi, J Jacob, S Lessmann European Journal of Operational Research 297 (3), 1083-1094, 2022 | 112 | 2022 |
| Shallow self-learning for reject inference in credit scoring N Kozodoi, P Katsas, S Lessmann, L Moreira-Matias, K Papakonstantinou European Conference on Machine Learning and Knowledge Discovery in Databases …, 2019 | 15 | 2019 |
| Recency: Prediction with smart data FM Artinger, N Kozodoi, F Wangenheim, G Gigerenzer 2018 AMA Winter Academic Conference: Integrating paradigms in a world where …, 2018 | 14 | 2018 |
| fairness: Algorithmic Fairness Metrics N Kozodoi, TV Varga URL https://CRAN. R-project. org/package= fairness. R package version 1 (1), 228, 2021 | 9* | 2021 |
| Multi-objective Particle Swarm Optimization for Feature Selection in Credit Scoring N Kozodoi, S Lessmann Mining Data for Financial Applications: 5th ECML PKDD Workshop, MIDAS 2020 …, 2021 | 4 | 2021 |
| Recency: Prediction with a single data point FM Artinger, G Gigerenzer, N Kozodoi, FV Wangenheim Available at SSRN 4410707, 2023 | 2 | 2023 |
| Probabilistic demand forecasting with graph neural networks N Kozodoi, E Zinovyeva, S Valentin, J Pereira, R Agundez arXiv preprint arXiv:2401.13096, 2024 | 1 | 2024 |
| Predicting revenues with the multiplier heuristic FM Artinger, N Kozodoi, J Runge Available at SSRN 3546017, 2020 | 1 | 2020 |
| Fighting Sampling Bias: A Framework for Training and Evaluating Credit Scoring Models N Kozodoi, S Lessmann, M Alamgir, L Moreira-Matias, ... arXiv preprint arXiv:2407.13009, 2024 | | 2024 |
| Machine Learning for Credit Risk Analytics N Kozodoi Humboldt-Universität zu Berlin, 2022 | | 2022 |
| Profit-Oriented Feature Selection in Credit Scoring Applications N Kozodoi, S Lessmann, B Baesens, K Papakonstantinou Operations Research Proceedings 2018: Selected Papers of the Annual …, 2019 | | 2019 |
| Predicting box-office revenues: Heuristics versus computer-driven methods N Kozodoi, F Artinger, S Lessmann Humboldt University of Berlin, 2017 | | 2017 |
Stefan LessmannProfessor of Information Systems, Humboldt-University of Berlin在 hu-berlin.de 的电子邮件经过验证
