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20172026
most citedFast and scalable neuroevolution deep learning architecture search for multivariate anomaly detection

5 citations · 9 across the 11 of their papers we have counts for

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2 papers · 1 filter

cs.NE2024

AD-NEv++ : The multi-architecture neuroevolution-based multivariate anomaly detection framework

Marcin Pietroń, Dominik Żurek, Kamil Faber +1

Anomaly detection tools and methods enable key analytical capabilities in modern cyberphysical and sensor-based systems. Despite the fast-paced development in deep learning archite…

cs.CL2024

Efficient argument classification with compact language models and ChatGPT-4 refinements

Marcin Pietron, Rafał Olszowski, Jakub Gomułka

Argument mining (AM) is defined as the task of automatically identifying and extracting argumentative components (e.g. premises, claims, etc.) and detecting the existing relations…