A Data Interpretion Chain for Hyperspectral Remote Sensing Data aimed at Basic Vegetation Mapping Applications. - Karoly Livius Bakos; Paolo Gamba (IGARSS (2), 2009)

Combining classifiers for robust hyperspectral mapping using Hierarchical Trees and class memberships. - Karoly Livius Bakos; Paolo Gamba; Bogdan Zagajewski (IGARSS, 2010)

Efficient combination of multiple hyperspectral data processing chains using binary decision trees. - Karoly Livius Bakos; Paolo Gamba (WHISPERS, 2010)

Rapid estimation of point source chemical pollutant coverage in catastrophe situation using hierarchical binary decision tree ensemble and probability membership value based ensemble approaches. - Karoly Livius Bakos; Paolo Gamba; P. Bura (WHISPERS, 2011)

Combining Hyperspectral Data Processing Chains for Robust Mapping Using Hierarchical Trees and Class Memberships. - Karoly Livius Bakos; Paolo Gamba (IEEE Geosci. Remote. Sens. Lett., 2011)

Hierarchical Hybrid Decision Tree Fusion of Multiple Hyperspectral Data Processing Chains. - Karoly Livius Bakos; Paolo Gamba (IEEE Trans. Geosci. Remote. Sens., 2011)

Including the spatial context into decision fusion for urban area mapping using hyperspectral data. - Gianni Lisini; Paolo Gamba; Karoly Livius Bakos (IGARSS, 2012)

Spatial probability membership value based ensemble: An improved tool for vegetation mapping. - Karoly Livius Bakos; Paolo Gamba (WHISPERS, 2012)