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Peer reviewed papers
Generalized additive model with dynamic coefficients for spatiotemporal ozone predictions, Jalilian, A., Cappello, C., Palma, M., De Iaco, S.
Enhancing identifiable variational autoencoder in the presence of missing values and auxiliary covariates for spatio-temporal ozone modeling, Sipilä, M., Cappello, C., De Iaco, S., Nordhausen, K., Palma, M., Taskinen, S.
Time-aware U-Net and super-resolution deep residual networks for spatial downscaling, Sipilä, M., De Iaco, S., Maggio, S., Nordhausen, K., Palma, M., Taskinen, S.
Identifiable Variational Autoencoders for Interpretable Dimension Reduction and Prediction in Multivariate Spatio-Temporal Processes, Sipilä, M., Cappello, C., De Iaco, S., Nordhausen, K., Palma, M., Taskinen, S.
On the use of difference-based covariance models, De Iaco, S., Palma, M., Posa, D.
Characteristics of some isotropic covariance models with negative values, De Iaco S., Posa D.
Book of Proceedings Exploration of Spatio-temporal Environmental Conditions: harmonized databases and analytical techniques - ECoST-DATA (https://drive.google.com/drive/folders/1qc40Ygxivbn5QnZ5mu7ErlQJgpquKPHe )
Scientific contributions to international conferences
DUST 2025: “Spatio-Temporal Downscaling of Ozone Using Generalized Additive Model”
(Cappello, C., Jalilian, A.)
Spatial Statistics 2025: “Data-driven downscaling for local-scale ozone predictions”
(Cappello, C., Palma, M.)
Spatial Statistics 2025: “Multivariate approaches for modeling spatio-temporal data: a critical comparison” (Cappello, C., De Iaco, S., Palma, M., Nordhausen, K.)
Spatial Statistics 2025: “Isotropic covariance models constructed through differences: some dimension-dependent characteristics and applications”
(De Iaco, S., Posa, D.)
CLADAG 2025: “An enhanced new multivariate GWR approach for spatio-temporal PM10 levels prediction”
(Congedi, A., De Iaco, S., Palma, M., Simmini, L.)
IES 2025: “Advanced multidimensional spatial clustering for sustainable transport assessment” (Distefano, V., De Iaco, S.)
DUST 2025: “Estimating Groundwater Gradients Through A Complex Kriging Approach”
(Maggio, S., Herrera-Zamarrón, G.S., Júnez Ferreira, H.E., Hernández Hernández, M.A.)
DUST 2025: “Machine Learning Models For Multilevel Biodiversity Index Prediction In Apulia, Southern Italy: A Comparative Study”
(Giungato, G., Maggio, S., Masoumi, I., Najafabadipour, A.)
DUST 2025: “Hierarchical Clustering of Variables for Environmental and Social Assessment”
(Distefano, V.)
CLADAG 2025: “Advances of spatio-temporal clustering for evaluating the interaction between tourism and environment”
(Distefano, V., De Iaco, S.)