output
20152026
most citedDigital Twins of Business Processes: A Research Manifesto

26 citations

Showing 2025Show all

5 papers · 1 filter

cs.LG2025

A Convexity-dependent Two-Phase Training Algorithm for Deep Neural Networks

Tomas Hrycej, Bernhard Bermeitinger, Massimo Pavone +2

The key task of machine learning is to minimize the loss function that measures the model fit to the training data. The numerical methods to do this efficiently depend on the prope…

cs.SD2025★ 1 cited

GeHirNet: A Gender-Aware Hierarchical Model for Voice Pathology Classification

Fan Wu, Kaicheng Zhao, Elgar Fleisch +1

AI-based voice analysis shows promise for disease diagnostics, but existing classifiers often fail to accurately identify specific pathologies because of gender-related acoustic va…

cs.LG2025★ 6 cited

Diffusion-Scheduled Denoising Autoencoders for Anomaly Detection in Tabular Data

Timur Sattarov, Marco Schreyer, Damian Borth

Anomaly detection in tabular data remains challenging due to complex feature interactions and the scarcity of anomalous examples. Denoising autoencoders rely on fixed-magnitude noi…

cs.SE2025★ 3 cited

A Domain-specific Language and Architecture for Detecting Process Activities from Sensor Streams in IoT

Ronny Seiger, Daniel Locher, Marco Kaufmann +1

Modern Internet of Things (IoT) systems are equipped with a large quantity of sensors providing real-time data about the current operations of their components, which is crucial fo…

cs.HC2025★ 18 cited

Reviewriter: AI-Generated Instructions For Peer Review Writing

Xiaotian Su, Thiemo Wambsganss, Roman Rietsche +2

Large Language Models (LLMs) offer novel opportunities for educational applications that have the potential to transform traditional learning for students. Despite AI-enhanced appl…