Damian Borth - Concepedia

Author

Damian Borth

German Research Centre for Artificial Intelligence ORCID

Also Known As

Andreas Dengel, Borth, Damian, D. Borth, Damian Borth, Damian S. Borth, Damian, Borth

216

Publications

6.4K

Citations

H-Index

125

Concepts

All Affiliations

German Research Centre for Artificial Intelligence University of St.Gallen University of Kaiserslautern Deutsche Bundesbank Lawrence Livermore National Laboratory

About

Damian Borth is an author at German Research Centre for Artificial Intelligence specializing in engineering, data science, and computer vision.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	24	36	4.2K
2	Arts	6	6	398
3	Business	5	5	139
4	Language Studies	3	3	1K
5	Education	1	1	17

Damian Borth

Publications

5.9K

Citations

H-Index

Page 1

	Year	Citations
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification Patrick Helber, Benjamin Bischke, Andreas Dengel, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Convolutional Neural NetworkEngineeringMachine LearningLand UseLand Cover	2019	1.5K
YFCC100M Bart Thomée, David A. Shamma, Gerald Friedland, Communications of the ACM	2016	1.5K
Large-scale visual sentiment ontology and detectors using adjective noun pairs Damian Borth, Rongrong Ji, Tao Chen, EngineeringMultimodal Sentiment AnalysisSemanticsSentiment AnalysisCorpus Linguistics	2013	831
DeepSentiBank: Visual Sentiment Concept Classification with Deep Convolutional Neural Networks Tao Chen, Damian Borth, Trevor Darrell, arXiv (Cornell University) Convolutional Neural NetworkEngineeringMachine LearningDeep Cnns ModelMultimodal Sentiment Analysis	2014	270
The New Data and New Challenges in Multimedia Research. Bart Thomée, David A. Shamma, Gerald Friedland, arXiv (Cornell University) EngineeringMultimedia AnalysisMultimedia SystemsVideo RetrievalSocial Media	2015	249
Introducing Eurosat: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification Patrick Helber, Benjamin Bischke, Andreas Dengel, Convolutional Neural NetworkEngineeringMachine LearningLand UseLand Cover	2018	206
SentiBank Damian Borth, Tao Chen, Rongrong Ji, EngineeringMultimedia AnalysisCommunicationMultimodal Sentiment AnalysisSentiment Analysis	2013	184
Self-supervised Vision Transformers for Land-cover Segmentation and Classification Linus Scheibenreif, Joëlle Hanna, Michael Mommert, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) Convolutional Neural NetworkEngineeringMachine LearningLand CoverVision Transformers	2022	95
Detection of Anomalies in Large Scale Accounting Data using Deep Autoencoder Networks Marco Schreyer, Timur Sattarov, Damian Borth, arXiv (Cornell University) Fraud DetectionAnomaly DetectionMachine LearningEngineeringDeep Autoencoder Networks	2017	79
Masked Vision Transformers for Hyperspectral Image Classification Linus Scheibenreif, Michael Mommert, Damian Borth EngineeringMachine LearningMultispectral ImagingVision TransformersImage Classification	2023	76

Page 1