Profit-Oriented Feature Selection in Credit Scoring Applications. - Nikita Kozodoi; Stefan Lessmann; Bart Baesens; Konstantinos Papakonstantinou (OR, 2018)

Shallow Self-learning for Reject Inference in Credit Scoring. - Nikita Kozodoi; Panagiotis Katsas; Stefan Lessmann; Luís Moreira-Matias; Konstantinos Papakonstantinou (ECML/PKDD (3), 2019)

A multi-objective approach for profit-driven feature selection in credit scoring. - Nikita Kozodoi; Stefan Lessmann; Konstantinos Papakonstantinou; Yiannis Gatsoulis; Bart Baesens (Decis. Support Syst., 2019)

Multi-objective Particle Swarm Optimization for Feature Selection in Credit Scoring. - Nikita Kozodoi; Stefan Lessmann (MIDAS@PKDD/ECML, 2020)

Fairness in credit scoring: Assessment, implementation and profit implications. - Nikita Kozodoi; Johannes Jacob; Stefan Lessmann (Eur. J. Oper. Res., 2022)

Machine Learning for Credit Risk Analytics - Nikita Kozodoi (2022)

Probabilistic Demand Forecasting with Graph Neural Networks. - Nikita Kozodoi; Elizaveta Zinovyeva; Simon Valentin; João Pereira; Rodrigo Agundez (CoRR, 2024)

Fighting sampling bias: A framework for training and evaluating credit scoring models. - Nikita Kozodoi; Stefan Lessmann; Morteza Alamgir; Luís Moreira-Matias; Konstantinos Papakonstantinou (Eur. J. Oper. Res., 2025)

Finding the Sweet Spot: Trading Quality, Cost, and Speed During Inference-Time LLM Reflection. - Jack Butler; Nikita Kozodoi; Zainab Afolabi; Brian Tyacke; Gaiar Baimuratov (CoRR, 2025)