6 citations · 10 across the 4 of their papers we have counts for
4 papers
TransClean: Finding False Positives in Multi-Source Entity Matching under Real-World Conditions via Transitive Consistency
Fernando de Meer Pardo, Branka Hadji Misheva, Martin Braschler +1
We present TransClean, a method for detecting false positive predictions of entity matching algorithms under real-world conditions characterized by large-scale, noisy, and unlabele…
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…