Anomaly detection in laser-guided vehicles' batteries: a case study

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.

Anomaly Detection Scheduling +2

A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends

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.

Edge Detection Image Classification +4

Genetic Algorithms for the Optimization of Diffusion Parameters in Content-Based Image Retrieval

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.

Content-Based Image Retrieval Retrieval