Taïs Grippa - Concepedia

Author

Taïs Grippa

Also Known As

Grippa Tais, Grippa Taïs, Grippa, T., Grippa, Tais, Grippa, Taïs, T Grippa, T. Grippa, Tais Grippa, Tais, Grippa, Taïs Grippa

Publications

Citations

H-Index

Concepts

All Affiliations

Université Libre de Bruxelles University of Namur University of Twente Royal Military Academy Institut Scientifique de Service Public

About

Taïs Grippa is an author at Université Libre de Bruxelles specializing in geography, engineering, and remote sensing.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	17	20	1.3K
2	Social Sciences	14	17	910
3	Computer Science	3	3	422
4	Business	2	2	43
5	Management	1	1	18

Taïs Grippa

Publications

1.9K

Citations

H-Index

Page 1

	Year	Citations
Geographical random forests: a spatial extension of the random forest algorithm to address spatial heterogeneity in remote sensing and population modelling Stefanos Georganos, Taïs Grippa, Assane Gadiaga, Geocarto International	2019	461
Very High Resolution Object-Based Land Use–Land Cover Urban Classification Using Extreme Gradient Boosting Stefanos Georganos, Taïs Grippa, Sabine Vanhuysse, IEEE Geoscience and Remote Sensing Letters High ResolutionEngineeringMachine LearningFeature SelectionLand Cover	2018	274
Less is more: optimizing classification performance through feature selection in a very-high-resolution remote sensing object-based urban application Stefanos Georganos, Taïs Grippa, Sabine Vanhuysse, GIScience & Remote Sensing EngineeringMachine LearningFeature DetectionObject-based Urban ApplicationFeature Selection	2017	232
Mapping Urban Land Use at Street Block Level Using OpenStreetMap, Remote Sensing Data, and Spatial Metrics Taïs Grippa, Stefanos Georganos, Soukaina Zarougui, ISPRS International Journal of Geo-Information EngineeringLand UseLand CoverEarth ScienceSocial Sciences	2018	109
An Open-Source Semi-Automated Processing Chain for Urban Object-Based Classification Taïs Grippa, Moritz Lennert, Benjamin Beaumont, Remote Sensing Precision AgricultureEngineeringObject CategorizationLand UseSemi-automated Processing Chain	2017	81
Need for an Integrated Deprived Area “Slum” Mapping System (IDEAMAPS) in Low- and Middle-Income Countries (LMICs) Dana R. Thomson, Monika Kuffer, Gianluca Boo, Social Sciences EngineeringGeovisualizationDeprived NeighborhoodsDeprivation MappingGeographic Analytics	2020	80
The Role of Earth Observation in an Integrated Deprived Area Mapping “System” for Low-to-Middle Income Countries Monika Kuffer, Dana R. Thomson, Gianluca Boo, Remote Sensing Earth ObservationEngineeringGeovisualizationLand UseGeographic Analytics	2020	72
Fully Convolutional Networks and Geographic Object-Based Image Analysis for the Classification of VHR Imagery Nicholus Mboga, Stefanos Georganos, Taïs Grippa, Remote Sensing Convolutional Neural NetworkEngineeringImage ClassificationImage AnalysisData Science	2019	57
Fully convolutional networks for land cover classification from historical panchromatic aerial photographs Nicholus Mboga, Taïs Grippa, Stefanos Georganos, ISPRS Journal of Photogrammetry and Remote Sensing Land Cover ClassificationConvolutional Neural NetworkImage ClassificationImage AnalysisMachine Vision	2020	51
Towards user-driven earth observation-based slum mapping Maxwell Owusu, Monika Kuffer, Mariana Belgiu, Computers Environment and Urban Systems Earth ObservationCartographyGeospatial MappingEngineeringData Science	2021	49

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