Jakob Gawlikowski - Concepedia

Author

Jakob Gawlikowski

Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)

Also Known As

Gawlikowski, Jakob, J. Gawlikowski, Jakob Gawlikowski

Publications

1.5K

Citations

H-Index

Concepts

All Affiliations

Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)Technical University of Munich

About

Jakob Gawlikowski is an author at Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) specializing in deep learning, data science, and engineering.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	7	7	1.4K
2	Data Science	7	7	1.4K
3	Computer Science	5	5	1.4K
4	Social Sciences	2	2	1K
5	Management	1	1	29

Jakob Gawlikowski

Publications

1.4K

Citations

H-Index

Page 1

	Year	Citations
A survey of uncertainty in deep neural networks Jakob Gawlikowski, Cedrique Rovile Njieutcheu Tassi, Mohsin Ali, Artificial Intelligence Review EngineeringMachine LearningNeural Networks (Machine Learning)Neural Network PredictionsUncertain Data	2023	1K
A Survey of Uncertainty in Deep Neural Networks Jakob Gawlikowski, Cedrique Rovile Njieutcheu Tassi, Mohsin Ali, arXiv (Cornell University) Deep Neural NetworksEngineeringMachine LearningData ScienceUncertainty Quantification	2021	242
An Advanced Dirichlet Prior Network for Out-of-Distribution Detection in Remote Sensing Jakob Gawlikowski, Sudipan Saha, Anna Kruspe, IEEE Transactions on Geoscience and Remote Sensing Geometric LearningConvolutional Neural NetworkEngineeringMachine LearningAutoencoders	2022	53
Explaining the Effects of Clouds on Remote Sensing Scene Classification Jakob Gawlikowski, Patrick Ebel, Michael Schmitt, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Earth ObservationEngineeringMachine LearningClimate ModelingEarth System Science	2022	35
Leveraging Graph and Deep Learning Uncertainties to Detect Anomalous Maritime Trajectories Sandeep Kumar Singh, Jaya Shradha Fowdur, Jakob Gawlikowski, IEEE Transactions on Intelligent Transportation Systems Anomaly DetectionShip ManeuveringMachine LearningEngineeringAi Foundation	2022	29
The Unreasonable Effectiveness of Deep Evidential Regression N. Meinert, Jakob Gawlikowski, Alexander Lavin Proceedings of the AAAI Conference on Artificial Intelligence EngineeringMachine LearningAi FoundationUncertainty ModelingPrincipled Uncertainty	2023	25
On the Fusion Strategies of Sentinel-1 and Sentinel-2 Data for Local Climate Zone Classification Jakob Gawlikowski, Michael Schmitt, Anna Kruspe, Earth ObservationFusion StrategiesEngineeringSentinel-2 DataLocal Climate Zone	2020	16
Handling unexpected inputs: incorporating source-wise out-of-distribution detection into SAR-optical data fusion for scene classification Jakob Gawlikowski, Sudipan Saha, Julia Niebling, EURASIP Journal on Advances in Signal Processing	2023	12

Page 1