Author

Elyes Lounissi

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Open access Sep 2026

Impact of dimensionality reduction on machine learning-based crop health prediction

Accurately predicting fungal disease dynamics poses a major challenge for data-driven sustainable agriculture. This study evaluates the impact of dimensionality reduction (DR) on the predictive performance of classical machine learning (ML) and deep learning (DL) models for classification (fungal disease occurrence)...

Zahia Aouabed, Stéphane Samson, Elyes Lounissi et al. · Scientific Reports · 0 citations

#machine learning Apr 2026

Assessing the impact of dimensionality reduction on clustering performance - a systematic study

The influence of five dimensionality reduction techniques - Principal Component Analysis (PCA), Kernel Principal Component Analysis (Kernel PCA), Variational Autoencoder (VAE), Isometric Mapping (Isomap), and Multidimensional Scaling (MDS) - on the performance of four popular clustering algorithms is assessed.

Ousmane Assani Amate, Elyes Lounissi, Mohammadreza Bakhtyari et al. · arXiv.org · 1 citation