Editorial: AI and Financial Technology. - Paolo Giudici; Ronald Hochreiter; Jörg Osterrieder; Jochen Papenbrock; Peter Schwendner (Frontiers Artif. Intell., 2019)

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

Wasserstein GAN: Deep Generation applied on Bitcoins financial time series. - Samuel Rikli; Daniel Nico Bigler; Moritz Pfenninger; Jörg Osterrieder (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)

Applications of Reinforcement Learning in Finance - Trading with a Double Deep Q-Network. - Frensi Zejnullahu; Maurice Moser; Jörg Osterrieder (CoRR, 2022)

Simulating financial time series using attention. - Weilong Fu; Ali Hirsa; Jörg Osterrieder (CoRR, 2022)

The Efficient Market Hypothesis for Bitcoin in the context of neural networks. - Mike Kraehenbuehl; Jörg Osterrieder (CoRR, 2022)

Feature Selection via the Intervened Interpolative Decomposition and its Application in Diversifying Quantitative Strategies. - Jun Lu; Jörg Osterrieder (CoRR, 2022)

Editorial: Artificial intelligence in finance and industry: Highlights from 6 European COST conferences. - Andreas Henrici; Jörg Osterrieder (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)

Examining share repurchase executions: insights and synthesis from the existing literature. - Jörg Osterrieder; Michael Seigne (Frontiers Appl. Math. Stat., 2023)

Share buybacks: a theoretical exploration of genetic algorithms and mathematical optionality. - Jörg Osterrieder (Frontiers Artif. Intell., 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)

How can artificial intelligence help customer intelligence for credit portfolio management? A systematic literature review. - Alessandra Amato; Jörg Osterrieder; Marcos Roberto Machado (Int. J. Inf. Manag. Data Insights, 2024)

How can consumers without credit history benefit from the use of information processing and machine learning tools by financial institutions? - Bjorn van Braak; Jörg Osterrieder; Marcos Roberto Machado (Inf. Process. Manag., 2025)