174 citations · 377 across the 16 of their papers we have counts for
7 papers · 1 filter
Collaborative Synthetic Data for Privacy-Preserving Financial Fraud Detection Across Organizational Silos
Simeon Allmendinger, Domenique Zipperling, Burhanettin Bahadir Kibar +2
Organizations seek analytical value from AI, yet relevant data are often fragmented across organizations and constrained by privacy. This is acute in financial fraud detection, whe…
Beware of "Explanations" of AI
David Martens, Galit Shmueli, Theodoros Evgeniou +14
Understanding the decisions made and actions taken by increasingly complex AI system remains a key challenge. This has led to an expanding field of research in explainable artifici…
CollaFuse: Collaborative Diffusion Models
Simeon Allmendinger, Domenique Zipperling, Lukas Struppek +1
In the landscape of generative artificial intelligence, diffusion-based models have emerged as a promising method for generating synthetic images. However, the application of diffu…
Mapping the Potential of Explainable AI for Fairness Along the AI Lifecycle
Luca Deck, Astrid Schomäcker, Timo Speith +3
The widespread use of artificial intelligence (AI) systems across various domains is increasingly surfacing issues related to algorithmic fairness, especially in high-stakes scenar…
Enabling Inter-organizational Analytics in Business Networks Through Meta Machine Learning
Robin Hirt, Niklas Kühl, Dominik Martin +1
Successful analytics solutions that provide valuable insights often hinge on the connection of various data sources. While it is often feasible to generate larger data pools within…
Artificial Intelligence for Sustainability: Facilitating Sustainable Smart Product-Service Systems with Computer Vision
Jannis Walk, Niklas Kühl, Michael Saidani +1
The usage and impact of deep learning for cleaner production and sustainability purposes remain little explored. This work shows how deep learning can be harnessed to increase sust…
Handling Concept Drift for Predictions in Business Process Mining
Lucas Baier, Josua Reimold, Niklas Kühl
Predictive services nowadays play an important role across all business sectors. However, deployed machine learning models are challenged by changing data streams over time which i…