Sonja Pravilovic

According to our database, Sonja Pravilovic authored at least 11 papers between 2013 and 2018.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2018

Leveraging correlation across space and time to interpolate geophysical data via CoKriging.

Sonja Pravilovic, Annalisa Appice, Donato Malerba

Int. J. Geogr. Inf. Sci., 2018

2017

Using multiple time series analysis for geosensor data forecasting.

Sonja Pravilovic, Massimo Bilancia, Annalisa Appice, Donato Malerba

Inf. Sci., 2017

Sampling Training Data for Accurate Hyperspectral Image Classification via Tree-Based Spatial Clustering.

Annalisa Appice, Sonja Pravilovic, Donato Malerba, Antonietta Lanza

Proceedings of the AI*IA 2017 Advances in Artificial Intelligence, 2017

2015

Very Short-Term Wind Speed Forecasting Using Spatio-Temporal Lazy Learning.

Annalisa Appice, Sonja Pravilovic, Antonietta Lanza, Donato Malerba

Proceedings of the Discovery Science - 18th International Conference, 2015

2014

Mining Cluster-Based Models of Time Series for Wind Power Prediction.

Sonja Pravilovic, Annalisa Appice, Antonietta Lanza, Donato Malerba

Proceedings of the 22nd Italian Symposium on Advanced Database Systems, 2014

Integrating Cluster Analysis to the ARIMA Model for Forecasting Geosensor Data.

Sonja Pravilovic, Annalisa Appice, Donato Malerba

Proceedings of the Foundations of Intelligent Systems - 21st International Symposium, 2014

Wind Power Forecasting Using Time Series Cluster Analysis.

Sonja Pravilovic, Annalisa Appice, Antonietta Lanza, Donato Malerba

Proceedings of the Discovery Science - 17th International Conference, 2014

2013

Process Mining to Forecast the Future of Running Cases.

Sonja Pravilovic, Annalisa Appice, Donato Malerba

Proceedings of the New Frontiers in Mining Complex Patterns, 2013

Predictive Regional Trees to Supplement Geo-Physical Random Fields.

Annalisa Appice, Sonja Pravilovic, Donato Malerba

Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013, 2013

An Intelligent Technique for Forecasting Spatially Correlated Time Series.

Sonja Pravilovic, Annalisa Appice, Donato Malerba

Proceedings of the AI*IA 2013: Advances in Artificial Intelligence, 2013

Enhancing Regression Models with Spatio-temporal Indicator Additions.

Annalisa Appice, Sonja Pravilovic, Donato Malerba, Antonietta Lanza

Proceedings of the AI*IA 2013: Advances in Artificial Intelligence, 2013