no code implementations • 27 Dec 2022 • Gianfranco Lombardo, Stefano Cagnoni, Stefano Cavalli, Juan José Contreras Gonzáles, Francesco Monica, Monica Mordonini, Michele Tomaiuolo
Detecting anomalous data within time series is a very relevant task in pattern recognition and machine learning, with many possible applications that range from disease prevention in medicine, e. g., detecting early alterations of the health status before it can clearly be defined as "illness" up to monitoring industrial plants.