Search Results for author: Jayant Sen Gupta

Found 3 papers, 0 papers with code

Functional Anomaly Detection: a Benchmark Study

no code implementations13 Jan 2022 Guillaume Staerman, Eric Adjakossa, Pavlo Mozharovskyi, Vera Hofer, Jayant Sen Gupta, Stephan Clémençon

After an overview of the state-of-the-art and a visual-descriptive study, a variety of anomaly detection methods are compared.

Anomaly Detection

Temporal signals to images: Monitoring the condition of industrial assets with deep learning image processing algorithms

no code implementations14 May 2020 Gabriel Rodriguez Garcia, Gabriel Michau, Mélanie Ducoffe, Jayant Sen Gupta, Olga Fink

Essential characteristics of time series, situated outside the time domain, are often difficult to capture with state-of-the-art anomaly detection methods when no transformations have been applied to the time series.

Time Series Unsupervised Anomaly Detection

Anomaly detection with Wasserstein GAN

no code implementations6 Dec 2018 Ilyass Haloui, Jayant Sen Gupta, Vincent Feuillard

W-GAN with encoder seems to produce state of the art anomaly detection scores on MNIST dataset and we investigate its usage on multi-variate time series.

Anomaly Detection Time Series

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