Enhancing Regression Models with Spatio-temporal Indicator Additions. - Annalisa Appice; Sonja Pravilovic; Donato Malerba; Antonietta Lanza (AI*IA, 2013)

An Intelligent Technique for Forecasting Spatially Correlated Time Series. - Sonja Pravilovic; Annalisa Appice; Donato Malerba (AI*IA, 2013)

Predictive Regional Trees to Supplement Geo-Physical Random Fields. - Annalisa Appice; Sonja Pravilovic; Donato Malerba (CORES, 2013)

Process Mining to Forecast the Future of Running Cases. - Sonja Pravilovic; Annalisa Appice; Donato Malerba (NFMCP, 2013)

Wind Power Forecasting Using Time Series Cluster Analysis. - Sonja Pravilovic; Annalisa Appice; Antonietta Lanza; Donato Malerba (Discovery Science, 2014)

Integrating Cluster Analysis to the ARIMA Model for Forecasting Geosensor Data. - Sonja Pravilovic; Annalisa Appice; Donato Malerba (ISMIS, 2014)

Mining Cluster-Based Models of Time Series for Wind Power Prediction. - Sonja Pravilovic; Annalisa Appice; Antonietta Lanza; Donato Malerba (SEBD, 2014)

Very Short-Term Wind Speed Forecasting Using Spatio-Temporal Lazy Learning. - Annalisa Appice; Sonja Pravilovic; Antonietta Lanza; Donato Malerba (Discovery Science, 2015)

Sampling Training Data for Accurate Hyperspectral Image Classification via Tree-Based Spatial Clustering. - Annalisa Appice; Sonja Pravilovic; Donato Malerba; Antonietta Lanza (AI*IA, 2017)

Using multiple time series analysis for geosensor data forecasting. - Sonja Pravilovic; Massimo Bilancia; Annalisa Appice; Donato Malerba (Inf. Sci., 2017)

Leveraging correlation across space and time to interpolate geophysical data via CoKriging. - Sonja Pravilovic; Annalisa Appice; Donato Malerba (Int. J. Geogr. Inf. Sci., 2018)