| Network based credit risk models P Giudici, B Hadji-Misheva, A Spelta Quality Engineering 32 (2), 199-211, 2020 | 84 | 2020 |
| Latent factor models for credit scoring in P2P systems DF Ahelegbey, P Giudici, B Hadji-Misheva Physica A: Statistical Mechanics and its Applications 522, 112-121, 2019 | 74 | 2019 |
| Explainable AI in credit risk management BH Misheva, J Osterrieder, A Hirsa, O Kulkarni, SF Lin arXiv preprint arXiv:2103.00949, 2021 | 69 | 2021 |
| Network based scoring models to improve credit risk management in peer to peer lending platforms P Giudici, B Hadji-Misheva, A Spelta Frontiers in artificial intelligence 2, 3, 2019 | 58 | 2019 |
| Environmental psychology Y Lin, Z Hu China Architecture & Building Press, Beijing, 2000 | 40 | 2000 |
| Default or profit scoring credit systems? Evidence from European and US peer-to-peer lending markets Š Lyócsa, P Vašaničová, B Hadji Misheva, MD Vateha Financial Innovation 8 (1), 32, 2022 | 29 | 2022 |
| Factorial network models to improve P2P credit risk management DF Ahelegbey, P Giudici, B Hadji-Misheva Frontiers in Artificial Intelligence 2, 8, 2019 | 23 | 2019 |
| Deep reinforcement learning on a multi-asset environment for trading A Hirsa, J Osterrieder, B Hadji-Misheva, JA Posth arXiv preprint arXiv:2106.08437, 2021 | 13 | 2021 |
| The VIX index under scrutiny of machine learning techniques and neural networks A Hirsa, J Osterrieder, BH Misheva, W Cao, Y Fu, H Sun, KW Wong arXiv preprint arXiv:2102.02119, 2021 | 11 | 2021 |
| Lead behaviour in bitcoin markets Y Chen, P Giudici, B Hadji Misheva, S Trimborn Risks 8 (1), 4, 2020 | 10 | 2020 |
| P2P lending scoring models: Do they predict default? P Giudici, BH Misheva Journal of Digital Banking 2 (4), 353-368, 2018 | 8 | 2018 |
| Network-based models to improve credit scoring accuracy BH Misheva, P Giudici, V Pediroda 2018 IEEE 5th International Conference on Data Science and Advanced …, 2018 | 7 | 2018 |
| Navigating the Environmental, Social, and Governance (ESG) landscape: constructing a robust and reliable scoring engine-insights into Data Source Selection, Indicator … Y Liu, J Osterrieder, BH Misheva, N Koenigstein, L Baals Open Research Europe 3, 2023 | 6 | 2023 |
| Audience-Dependent Explanations for AI-Based Risk Management Tools: A Survey B Hadji Misheva, D Jaggi, JA Posth, T Gramespacher, J Osterrieder Frontiers in Artificial Intelligence 4, 794996, 2021 | 6 | 2021 |
| Network based scoring models to improve credit risk management in peer to peer lending platforms B Hadji Misheva, A Spelta, P Giudici Front Artif Intell 2 (3), 2019 | 5 | 2019 |
| The applicability of self-play algorithms to trading and forecasting financial markets JA Posth, P Kotlarz, BH Misheva, J Osterrieder, P Schwendner Frontiers in Artificial Intelligence 4, 668465, 2021 | 4 | 2021 |
| Factorial Network Models to Improve P2p Credit Risk Management. Front DF Ahelegbey, P Giudici, B Hadji-Misheva AI AND FINANCIAL TECHNOLOGY 2 (8), 846, 2019 | 4 | 2019 |
| An Overview-Stress Test Designs for the Evaluation of AI and ML Models Under Shifting Financial Conditions to Improve the Robustness of Models J Osterrieder, V Arakelian, IF Coita, B Hadji-Misheva, A Kabasinskas, ... Available at SSRN 4634266, 2023 | 3 | 2023 |
| Explainable, Trustworthy, and Responsible AI for the Financial Service Industry B Hadji Misheva, J Papenbrock Frontiers in Artificial Intelligence 5, 902519, 2022 | 3 | 2022 |
| A Time Series Approach to Explainability for Neural Nets with Applications to Risk-Management and Fraud Detection M Wildi, BH Misheva arXiv preprint arXiv:2212.02906, 2022 | 2 | 2022 |
