26 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of St.GallenCH12 papers
- ETH ZurichCH3 papers
- KU LeuvenBE2 papers
- OST - Ostschweizer FachhochschuleCH2 papers
- RWTH Aachen UniversityDE2 papers
- Swiss Finance InstituteCH2 papers
- University of OxfordGB2 papers
- Argonne National LaboratoryUS1 paper
- Deutsche BundesbankDE1 paper
- École Polytechnique Fédérale de LausanneCH1 paper
- Federal Department of FinanceCH1 paper
- Frankfurt School of Finance & ManagementDE1 paper
5 papers · 1 filter
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…
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…
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…
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…
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…