Pubblicazioni

Modelling the seasonal dynamics of Aedes albopictus populations using a spatio-temporal stacked machine learning model

2025 - SCIENTIFIC REPORTS

Da Re, Daniele; Marini, Giovanni; Bonannella, Carmelo; Laurini, Fabrizio; Manica, Mattia; Anicic, Nikoleta; Albieri, Alessandro; Angelini, Paola; Arnoldi, Daniele; Bertola, Federica; Caputo, Beniamino; De Liberato, Claudio; Della Torre, Alessandra; Flacio, Eleonora; Franceschini, Alessandra; Gradoni, Francesco; Kadriaj, PÃ«rparim; Lencioni, Valeria; Del Lesto, Irene; Russa, Francesco La; Lia, Riccardo Paolo; Montarsi, Fabrizio; Otranto, Domenico; L'Ambert, Gregory; Rizzoli, Annapaola; RombolÃ , Pasquale; Romiti, Federico; Stancher, Gionata; Torina, Alessandra; Velo, Enkelejda; Virgillito, Chiara; Zandonai, Fabiana; RosÃ , Roberto

Ricerc@Sapienza

Pubblicazioni

Modelling the seasonal dynamics of Aedes albopictus populations using a spatio-temporal stacked machine learning model

A comparison of pre-processing approaches for remotely sensed time series classification based on functional analysis

Conditional Generators for Limit Order Book Environments: Explainability, Challenges, and Robustness

Clustering of Remotely Sensed Time Series using Functional Principal Component Analysis to Monitor Crops

A feature-based integrated scoring scheme for cell cycle-regulated genes prioritization

Latent variable time-varying network inference

Recursive multikernel filters exploiting nonlinear temporal structure

Prediction of telephone calls load using Echo State Network with exogenous variables

Short-term electric load forecasting using echo state networks and PCA decomposition