41 citations · 166 across the 31 of their papers we have counts for
4 papers · 1 filter
Generating Realistic Adversarial Examples for Business Processes using Variational Autoencoders
Alexander Stevens, Jari Peeperkorn, Johannes De Smedt +1
In predictive process monitoring, predictive models are vulnerable to adversarial attacks, where input perturbations can lead to incorrect predictions. Unlike in computer vision, w…
Dynamic and Scalable Data Preparation for Object-Centric Process Mining
Lien Bosmans, Jari Peeperkorn, Alexandre Goossens +3
Object-centric process mining is emerging as a promising paradigm across diverse industries, drawing substantial academic attention. To support its data requirements, existing obje…
Native Design Bias: Studying the Impact of English Nativeness on Language Model Performance
Manon Reusens, Philipp Borchert, Jochen De Weerdt +1
Large Language Models (LLMs) excel at providing information acquired during pretraining on large-scale corpora and following instructions through user prompts. This study investiga…
Efficient Information Extraction in Few-Shot Relation Classification through Contrastive Representation Learning
Philipp Borchert, Jochen De Weerdt, Marie-Francine Moens
Differentiating relationships between entity pairs with limited labeled instances poses a significant challenge in few-shot relation classification. Representations of textual data…