1 citations · 2 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…
GenJoin: Conditional Generative Plan-to-Plan Query Optimizer that Learns from Subplan Hints
Pavel Sulimov, Claude Lehmann, Kurt Stockinger
Query optimization has become a research area where classical algorithms are being challenged by machine learning algorithms. At the same time, recent trends in learned query optim…
Applying Quantum Autoencoders for Time Series Anomaly Detection
Robin Frehner, Kurt Stockinger
Anomaly detection is an important problem with applications in various domains such as fraud detection, pattern recognition or medical diagnosis. Several algorithms have been intro…
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…