8 citations · 19 across the 6 of their papers we have counts for
6 papers
GraLMatch: Matching Groups of Entities with Graphs and Language Models
Fernando De Meer Pardo, Claude Lehmann, Dennis Gehrig +5
In this paper, we present an end-to-end multi-source Entity Matching problem, which we call entity group matching, where the goal is to assign to the same group, records originatin…
Enhancing Security in Blockchain Networks: Anomalies, Frauds, and Advanced Detection Techniques
Joerg Osterrieder, Stephen Chan, Jeffrey Chu +3
Blockchain technology, a foundational distributed ledger system, enables secure and transparent multi-party transactions. Despite its advantages, blockchain networks are susceptibl…
A Hypothesis on Good Practices for AI-based Systems for Financial Time Series Forecasting: Towards Domain-Driven XAI Methods
Branka Hadji Misheva, Joerg Osterrieder
Machine learning and deep learning have become increasingly prevalent in financial prediction and forecasting tasks, offering advantages such as enhanced customer experience, democ…
A Time Series Approach to Explainability for Neural Nets with Applications to Risk-Management and Fraud Detection
Marc Wildi, Branka Hadji Misheva
Artificial intelligence is creating one of the biggest revolution across technology driven application fields. For the finance sector, it offers many opportunities for significant…
Explainable AI in Credit Risk Management
Branka Hadji Misheva, Joerg Osterrieder, Ali Hirsa +2
Artificial Intelligence (AI) has created the single biggest technology revolution the world has ever seen. For the finance sector, it provides great opportunities to enhance custom…
The VIX index under scrutiny of machine learning techniques and neural networks
Ali Hirsa, Joerg Osterrieder, Branka Hadji Misheva +4
The CBOE Volatility Index, known by its ticker symbol VIX, is a popular measure of the market's expected volatility on the SP 500 Index, calculated and published by the Chicago Boa…