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Jörg Osterrieder
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2020 – today
- 2024
- [j8]Yiting Liu, Lennart John Baals, Jörg Osterrieder, Branka Hadji Misheva:
Leveraging network topology for credit risk assessment in P2P lending: A comparative study under the lens of machine learning. Expert Syst. Appl. 252: 124100 (2024) - [j7]Alessandra Amato, Jörg Osterrieder, Marcos Roberto Machado:
How can artificial intelligence help customer intelligence for credit portfolio management? A systematic literature review. Int. J. Inf. Manag. Data Insights 4(2): 100234 (2024) - [i8]Jörg Osterrieder, Stephen Chan, Jeffrey Chu, Yuanyuan Zhang, Branka Hadji Misheva, Codruta Mare:
Enhancing Security in Blockchain Networks: Anomalies, Frauds, and Advanced Detection Techniques. CoRR abs/2402.11231 (2024) - 2023
- [j6]Jörg Osterrieder, Michael Seigne:
Examining share repurchase executions: insights and synthesis from the existing literature. Frontiers Appl. Math. Stat. 9 (2023) - [j5]Jörg Osterrieder:
Share buybacks: a theoretical exploration of genetic algorithms and mathematical optionality. Frontiers Artif. Intell. 6 (2023) - [e1]Jos van Hillegersberg, Jörg Osterrieder, Fethi Rabhi, Abhishta, Vijay Marisetty, Xiaohong Huang:
Enterprise Applications, Markets and Services in the Finance Industry - 11th International Workshop, FinanceCom 2022, Twente, The Netherlands, August 23-24, 2022, Revised Selected Papers. Lecture Notes in Business Information Processing 467, Springer 2023, ISBN 978-3-031-31670-8 [contents] - [i7]Branka Hadji Misheva, Jörg Osterrieder:
A Hypothesis on Good Practices for AI-based Systems for Financial Time Series Forecasting: Towards Domain-Driven XAI Methods. CoRR abs/2311.07513 (2023) - 2022
- [j4]Andreas Henrici, Jörg Osterrieder:
Editorial: Artificial intelligence in finance and industry: Highlights from 6 European COST conferences. Frontiers Artif. Intell. 5 (2022) - [i6]Frensi Zejnullahu, Maurice Moser, Jörg Osterrieder:
Applications of Reinforcement Learning in Finance - Trading with a Double Deep Q-Network. CoRR abs/2206.14267 (2022) - [i5]Weilong Fu, Ali Hirsa, Jörg Osterrieder:
Simulating financial time series using attention. CoRR abs/2207.00493 (2022) - [i4]Mike Kraehenbuehl, Jörg Osterrieder:
The Efficient Market Hypothesis for Bitcoin in the context of neural networks. CoRR abs/2208.07254 (2022) - [i3]Jun Lu, Jörg Osterrieder:
Feature Selection via the Intervened Interpolative Decomposition and its Application in Diversifying Quantitative Strategies. CoRR abs/2209.14532 (2022) - 2021
- [j3]Jan-Alexander Posth, Piotr Kotlarz, Branka Hadji Misheva, Jörg Osterrieder, Peter Schwendner:
The Applicability of Self-Play Algorithms to Trading and Forecasting Financial Markets. Frontiers Artif. Intell. 4: 668465 (2021) - [j2]Branka Hadji Misheva, David Jaggi, Jan-Alexander Posth, Thomas Gramespacher, Jörg Osterrieder:
Audience-Dependent Explanations for AI-Based Risk Management Tools: A Survey. Frontiers Artif. Intell. 4: 794996 (2021) - [i2]Branka Hadji Misheva, Jörg Osterrieder, Ali Hirsa, Onkar Kulkarni, Stephen Fung Lin:
Explainable AI in Credit Risk Management. CoRR abs/2103.00949 (2021) - [i1]Samuel Rikli, Daniel Nico Bigler, Moritz Pfenninger, Jörg Osterrieder:
Wasserstein GAN: Deep Generation applied on Bitcoins financial time series. CoRR abs/2107.06008 (2021)
2010 – 2019
- 2019
- [j1]Paolo Giudici, Ronald Hochreiter, Jörg Osterrieder, Jochen Papenbrock, Peter Schwendner:
Editorial: AI and Financial Technology. Frontiers Artif. Intell. 2: 25 (2019)
Coauthor Index
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