Author

M. Palma

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Open access Aug 2026

Enhancing Identifiable Variational Autoencoder in the Presence of Missing Values and Auxiliary Covariates for Spatio‐Temporal Ozone Modeling

Novel identifiable variational autoencoder (iVAE)‐based methods are introduced that explicitly integrate satellite‐derived predictors and handle missing values within a nonlinear blind source separation framework to establish nonlinear blind source separation as a promising approach for spatio‐temporal prediction of en...

Mika Sipilä, S. De Iaco, C. Cappello et al. · Environmetrics · 1 citation

Open access Jul 2026

Hybrid Machine Learning-Geostatistical Framework for Sustainable Spatiotemporal Temperature Forecasting

This paper proposes a hybrid approach that integrates a machine learning model with a geostatistical prediction technique to forecast daily mean air temperature over the study area, and demonstrates that the proposed hybrid approach consistently outperforms traditional, non-integrated methods.

Nouman Iqbal, S. De Iaco, M. Palma · Sustainability · 0 citations