NLP Based Anomaly Detection for Categorical Time Series

no code implementations • 22 Apr 2022 • Matthew Horak, Sowmya Chandrasekaran, Giovanni Tobar

Identifying anomalies in large multi-dimensional time series is a crucial and difficult task across multiple domains.

Anomaly Detection Time Series +1

Technical Report: Flushing Strategies in Drinking Water Systems

no code implementations • 25 Dec 2020 • Margarita Rebolledo, Sowmya Chandrasekaran, Thomas Bartz-Beielstein

In this report a non-exhaustive overview of optimization methods for flushing in WDS is given.

EventDetectR -- An Open-Source Event Detection System

no code implementations • 16 Nov 2020 • Sowmya Chandrasekaran, Margarita Rebolledo, Thomas Bartz-Beielstein

EventDetectR: An efficient Event Detection System (EDS) capable of detecting unexpected water quality conditions.

Event Detection

Benchmarking in Optimization: Best Practice and Open Issues

no code implementations • 7 Jul 2020 • Thomas Bartz-Beielstein, Carola Doerr, Daan van den Berg, Jakob Bossek, Sowmya Chandrasekaran, Tome Eftimov, Andreas Fischbach, Pascal Kerschke, William La Cava, Manuel Lopez-Ibanez, Katherine M. Malan, Jason H. Moore, Boris Naujoks, Patryk Orzechowski, Vanessa Volz, Markus Wagner, Thomas Weise

This survey compiles ideas and recommendations from more than a dozen researchers with different backgrounds and from different institutes around the world.

Benchmarking