3 citations · 3 across the 5 of their papers we have counts for
3 papers · 1 filter
Benchmarking IoT Time-Series AD with Event-Level Augmentations
Dmitry Zhevnenko, Ilya Makarov, Aleksandr Kovalenko +6
Anomaly detection (AD) for safety-critical IoT time series should be judged at the event level: reliability and earliness under realistic perturbations. Yet many studies still emph…
Building Machine Learning Challenges for Anomaly Detection in Science
Elizabeth G. Campolongo, Yuan-Tang Chou, Ekaterina Govorkova +148
Scientific discoveries are often made by finding a pattern or object that was not predicted by the known rules of science. Oftentimes, these anomalous events or objects that do not…
Enhancing GNNs Performance on Combinatorial Optimization by Recurrent Feature Update
Daria Pugacheva, Andrei Ermakov, Igor Lyskov +2
Combinatorial optimization (CO) problems are crucial in various scientific and industrial applications. Recently, researchers have proposed using unsupervised Graph Neural Networks…