MSCA Individual Research Projects

From EU COST Fin-AI
Revision as of 09:21, 3 September 2023 by J.osterrieder (talk | contribs) (Created page with "= Strengthening European financial service providers through applicable reinforcement learning = = Modelling green credit scores for a network of retail and business clients =...")
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to navigation Jump to search

Strengthening European financial service providers through applicable reinforcement learning

Modelling green credit scores for a network of retail and business clients

Industry standard for blockchain

A recommender system to re-orient investments towards more sustainable technologies

Fraud detection in financial networks

Collaborative learning across data silos

Risk index for cryptos

Detecting anomalies and dependence structures in high dimensional, high frequency financial data

Audience-dependent explanations

Experimenting with Green AI to reduce processing time and contributes to creating a low-carbon economy

Applications of Agent-based Models (ABM) to analyse finance growth in a sustainable manner over a long-term period

Developing industry-ready automated trading systems to conduct EcoFin analysis using deep learning algorithms

Predicting financial trends using text mining and NLP

Challenges and opportunities for the uptaking of technological development by industry

Deep Generation of Financial Time Series

Investigating the utility of classical XAI methods in financial time series

Fair Algorithmic Design and Portfolio Optimization under Sustainability Concerns

Retrieved from "https://wiki.fin-ai.eu/index.php?title=MSCA_Individual_Research_Projects&oldid=79365"