Reducing false positives in strong lens detection through effective augmentation and ensemble learning

no code implementations • 20 Feb 2025 • Samira Rezaei, Amirmohammad Chegeni, Bharath Chowdhary Nagam, J. P. McKean, Mitra Baratchi, Koen Kuijken, Léon V. E. Koopmans

Our experiments, employing variations of DenseNet and EfficientNet, achieved a best false positive rate (FP rate) of $10^{-4}$, while successfully identifying over 88 per cent of genuine gravitational lenses in the test dataset.

Data Augmentation Diversity +1

A Scalable Feature Selection and Opinion Miner Using Whale Optimization Algorithm

no code implementations • 21 Apr 2020 • Amir Javadpour, Samira Rezaei, Kuan-Ching Li, Guojun Wang

In this article, the Whale Optimization algorithm is considered and applied to the search for the optimum subset of features.

feature selection General Classification