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.
no code implementations • 14 Sep 2022 • Ying Bi, Bing Xue, Pablo Mesejo, Stefano Cagnoni, Mengjie Zhang
This survey aims to provide a better understanding of evolutionary computer vision (ECV) by discussing the contributions of different approaches and exploring how and why EC is used for CV and image analysis.
no code implementations • 19 Aug 2019 • Federico Magliani, Laura Sani, Stefano Cagnoni, Andrea Prati
We propose to use genetic algorithms to find the optimal setting of all the diffusion parameters with respect to retrieval performance for each different dataset.