Jörg Osterrieder

According to our database, Jörg Osterrieder authored at least 14 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

2023

Share buybacks: a theoretical exploration of genetic algorithms and mathematical optionality.

Jörg Osterrieder

Frontiers Artif. Intell., February, 2023

Examining share repurchase executions: insights and synthesis from the existing literature.

Jörg Osterrieder, Michael Seigne

Frontiers Appl. Math. Stat., 2023

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

2022

Editorial: Artificial intelligence in finance and industry: Highlights from 6 European COST conferences.

Andreas Henrici, Jörg Osterrieder

Frontiers Artif. Intell., 2022

Feature Selection via the Intervened Interpolative Decomposition and its Application in Diversifying Quantitative Strategies.

Jun Lu, Jörg Osterrieder

CoRR, 2022

The Efficient Market Hypothesis for Bitcoin in the context of neural networks.

Mike Kraehenbuehl, Jörg Osterrieder

CoRR, 2022

Simulating financial time series using attention.

Weilong Fu, Ali Hirsa, Jörg Osterrieder

CoRR, 2022

Applications of Reinforcement Learning in Finance - Trading with a Double Deep Q-Network.

Frensi Zejnullahu, Maurice Moser, Jörg Osterrieder

CoRR, 2022

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

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

Wasserstein GAN: Deep Generation applied on Bitcoins financial time series.

Samuel Rikli, Daniel Nico Bigler, Moritz Pfenninger, Jörg Osterrieder

CoRR, 2021

Explainable AI in Credit Risk Management.

Branka Hadji Misheva, Jörg Osterrieder, Ali Hirsa, Onkar Kulkarni, Stephen Fung Lin

CoRR, 2021

2019

Editorial: AI and Financial Technology.

Paolo Giudici, Ronald Hochreiter, Jörg Osterrieder, Jochen Papenbrock, Peter Schwendner

Frontiers Artif. Intell., 2019