Geostatistical modeling of topography using auxiliary maps. - Tomislav Hengl; Branislav Bajat; Dragan Blagojevic; Hannes Isaak Reuter (Comput. Geosci., 2008)

Geological Units Classification of Multispectral Images by Using Support Vector Machines. - Milos Kovacevic; Branislav Bajat; Branislav Trivic; Radmila Pavlovic (INCoS, 2009)

Landslide Susceptibility Assessment with Machine Learning Algorithms. - Milos Marjanovic; Branislav Bajat; Milos Kovacevic (INCoS, 2009)

Mapping population change index in Southern Serbia (1961-2027) as a function of environmental factors. - Branislav Bajat; Tomislav Hengl; Milan Kilibarda; Nikola Krunic (Comput. Environ. Urban Syst., 2011)

Modeling Urban Land Use Changes Using Support Vector Machines. - Mileva Samardzic-Petrovic; Suzana Dragicevic; Milos Kovacevic; Branislav Bajat (Trans. GIS, 2016)

Machine Learning Techniques for Modelling Short Term Land-Use Change. - Mileva Samardzic-Petrovic; Milos Kovacevic; Branislav Bajat; Suzana Dragicevic (ISPRS Int. J. Geo Inf., 2017)

Sparse regression interaction models for spatial prediction of soil properties in 3D. - Milutin Pejovic; Mladen Nikolic; Gerard B. M. Heuvelink; Tomislav Hengl; Milan Kilibarda; Branislav Bajat (Comput. Geosci., 2018)

Estimating the Performance of Random Forest versus Multiple Regression for Predicting Prices of the Apartments. - Marjan Ceh; Milan Kilibarda; Anka Lisec; Branislav Bajat (ISPRS Int. J. Geo Inf., 2018)

Prototype of the 3D Cadastral System Based on a NoSQL Database and a JavaScript Visualization Application. - Nenad Visnjevac; Rajica Mihajlovic; Mladen Soskic; Zeljko Cvijetinovic; Branislav Bajat (ISPRS Int. J. Geo Inf., 2019)

Random Forest Spatial Interpolation. - Aleksandar Sekulic; Milan Kilibarda; Gerard B. M. Heuvelink; Mladen Nikolic; Branislav Bajat (Remote. Sens., 2020)

The Extension of IFC For Supporting 3D Cadastre LADM Geometry. - Marija Petronijevic; Nenad Visnjevac; Natasa Prascevic; Branislav Bajat (ISPRS Int. J. Geo Inf., 2021)

Research in computing-intensive simulations for nature-oriented civil-engineering and related scientific fields, using machine learning and big data: an overview of open problems. - Zoran Babovic; Branislav Bajat; Vladan Dokic; Filip Dordevic; Drazen Draskovic; Nenad Filipovic; Borko Furht; Nikola Gacic; Igor Ikodinovic; Marija Ilic; Ayhan Irfanoglu; Branislav Jelenkovic; et al. (J. Big Data, 2023)

Transfer learning approach based on satellite image time series for the crop classification problem. - Ognjen Antonijevic; Slobodan Jelic; Branislav Bajat; Milan Kilibarda (J. Big Data, 2023)

Teaching computing for complex problems in civil engineering and geosciences using big data and machine learning: synergizing four different computing paradigms and four different management domains. - Zoran Babovic; Branislav Bajat; Dusan Barac; Vesna Bengin; Vladan Dokic; Filip Dordevic; Drazen Draskovic; Nenad Filipovic; Stephan French; Borko Furht; Marija Ilic; Ayhan Irfanoglu; et al. (J. Big Data, 2023)