Network-Based Models to Improve Credit Scoring Accuracy. - Branka Hadji Misheva; Paolo Giudici; Valentino Pediroda (DSAA, 2018)

Factorial Network Models to Improve P2P Credit Risk Management. - Daniel Felix Ahelegbey; Paolo Giudici; Branka Hadji Misheva (Frontiers Artif. Intell., 2019)

Network Based Scoring Models to Improve Credit Risk Management in Peer to Peer Lending Platforms. - Paolo Giudici; Branka Hadji Misheva; Alessandro Spelta (Frontiers Artif. Intell., 2019)

Explainable AI in Credit Risk Management. - Branka Hadji Misheva; Jörg Osterrieder; Ali Hirsa; Onkar Kulkarni; Stephen Fung Lin (CoRR, 2021)

Audience-Dependent Explanations for AI-Based Risk Management Tools: A Survey. - Branka Hadji Misheva; David Jaggi; Jan-Alexander Posth; Thomas Gramespacher; Jörg Osterrieder (Frontiers Artif. Intell., 2021)

The Applicability of Self-Play Algorithms to Trading and Forecasting Financial Markets. - Jan-Alexander Posth; Piotr Kotlarz; Branka Hadji Misheva; Jörg Osterrieder; Peter Schwendner (Frontiers Artif. Intell., 2021)

A Time Series Approach to Explainability for Neural Nets with Applications to Risk-Management and Fraud Detection. - Marc Wildi; Branka Hadji Misheva (CoRR, 2022)

Editorial: Explainable, Trustworthy, and Responsible AI for the Financial Service Industry. - Branka Hadji Misheva; Jochen Papenbrock (Frontiers Artif. Intell., 2022)

A Hypothesis on Good Practices for AI-based Systems for Financial Time Series Forecasting: Towards Domain-Driven XAI Methods. - Branka Hadji Misheva; Jörg Osterrieder (CoRR, 2023)

Enhancing Security in Blockchain Networks: Anomalies, Frauds, and Advanced Detection Techniques. - Jörg Osterrieder; Stephen Chan; Jeffrey Chu; Yuanyuan Zhang; Branka Hadji Misheva; Codruta Mare (CoRR, 2024)

Leveraging network topology for credit risk assessment in P2P lending: A comparative study under the lens of machine learning. - Yiting Liu; Lennart John Baals; Jörg Osterrieder; Branka Hadji Misheva (Expert Syst. Appl., 2024)

GraLMatch: Matching Groups of Entities with Graphs and Language Models. - Fernando de Meer Pardo; Claude Lehmann; Dennis Gehrig; Andrea Nagy; Stefano Nicoli; Branka Hadji Misheva; Martin Braschler; Kurt Stockinger (EDBT, 2025)

TransClean: Finding False Positives in Multi-Source Entity Matching under Real-World Conditions via Transitive Consistency. - Fernando de Meer Pardo; Branka Hadji Misheva; Martin Braschler; Kurt Stockinger (CoRR, 2025)