output
20172026
most citedA Survey on the Explainability of Supervised Machine Learning

984 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2026 · cs.LGShow all

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cs.LG2026

ScrewSense: Mapping the Invisible - Anomaly Detection and Error Classification in Screwdriving Processes

Tobias Lettner, Tatyana Ivanovska, Anwar Al Assadi +1

The growing volume of process data generated by screwdriving systems, combined with advancements in computing power, data storage, and algorithms, is facilitating the application o…

cs.LG2026

Physics-Informed Machine Learning in Prognostics and Health Management: A Systematic Literature Review

Christopher Braun, Julian Raible, Marco F. Huber

In modern industry, keeping complex systems reliable, safe, and efficient hinges on Prognostics and Health Management (PHM). Machine Learning (ML) has largely driven advancements i…