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Branka Hadji Misheva
Branka Hadji Misheva
Professor in Applied Data Science and Finance @BFH
Verified email at zhaw.ch
Title
Cited by
Cited by
Year
Network based credit risk models
P Giudici, B Hadji-Misheva, A Spelta
Quality Engineering 32 (2), 199-211, 2020
762020
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
702019
Explainable AI in credit risk management
BH Misheva, J Osterrieder, A Hirsa, O Kulkarni, SF Lin
arXiv preprint arXiv:2103.00949, 2021
652021
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
572019
Environmental psychology
Y Lin, Z Hu
China Architecture & Building Press, Beijing, 2000
392000
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
252022
Factorial network models to improve P2P credit risk management
DF Ahelegbey, P Giudici, B Hadji-Misheva
Frontiers in Artificial Intelligence 2, 8, 2019
232019
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
112021
Lead behaviour in bitcoin markets
Y Chen, P Giudici, B Hadji Misheva, S Trimborn
Risks 8 (1), 4, 2020
102020
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
92021
P2P lending scoring models: Do they predict default?
P Giudici, BH Misheva
Journal of Digital Banking 2 (4), 353-368, 2018
82018
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
62018
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
52019
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
42023
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
42021
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
42021
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
42019
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
22023
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
22022
Scoring models for P2P lending platforms: An evaluation of predictive performance
P Giudici, BH Misheva
Statistics and data science: new challenges, new generations, 2017
12017
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