Proceedings of the 2022 IEEE Symposium Series on Computational Intelligence (SSCI 2022), IEEE, 30 janvier 2023
Large stocks of meteorological satellite images contain important climatic information of the last decades. This paper explores the capabilities of three...
2021 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, 5 décembre 2021
Water vapor in the atmosphere plays a crucial role in the energy balance and weather, being responsible for half of the greenhouse effect. Meteorological...
Proceedings of the 2021 International Joint Conference on Neural Networks (IJCNN), IEEE, 20 septembre 2021
Meteorological satellites are crucial for understanding and forecasting the flow dynamics of the General Atmospheric Circulation System. They produce large...
This paper presents two approaches for using Process Mining to the analysis of time series. They are applied to a time series of Meteosat full-disk water-vapor...
Process Mining (PM) approaches for the analysis of time series bring interesting new perspectives because of the structural and behavioral information that...
This paper presents a novel approach for the analysis of time series, using Process Mining conformance checking measures as features describing the series’...
The 2010 International Joint Conference on Neural Networks (IJCNN), 23 juillet 2010
Two Computational Intelligence techniques, neural networks-based Multivariate Time Series Model Mining (MVTSMM) and Genetic Programming (GP), have been used to...