4 citations · 8 across the 2 of their papers we have counts for
3 papers
stat.AP2019
Analysis of air pollution time series using complexity-invariant distance and information measures
Federico Amato, Mohamed Laib, Fabian Guignard +1
Air pollution is known to be a major threat for human and ecosystem health. A proper understanding of the factors generating pollution and of the behavior of air pollution in time…
stat.AP2017★ 4 cited
Periodic fluctuations in correlation-based connectivity density time series: application to wind speed-monitoring network in Switzerland
Mohamed Laib, Luciano Telesca, Mikhail Kanevski
In this paper, we study the periodic fluctuations of connectivity density time series of a wind speed-monitoring network in Switzerland. By using the correlogram-based robust perio…
stat.ML2017★ 4 cited
Unsupervised Feature Selection Based on Space Filling Concept
Mohamed Laib, Mikhail Kanevski
The paper deals with the adaptation of a new measure for the unsupervised feature selection problems. The proposed measure is based on space filling concept and is called the cover…