Denzler, Joachim

Deep learning and process understanding for data-driven Earth system science

Reichstein, M., Camps-Valls, G., Stevens, B., Jung, M., Denzler, J., Carvalhais, N., & Prabhat (2019) · Nature

Hydrological Forecasting Using AIModel Reduction and Neural Networks

Cited by 5,673

Active Learning for Deep Object Detection

Brust, C.-A., Käding, C., & Denzler, J. (2019) · Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications

Machine Learning and AlgorithmsAdvanced Neural Network Applications

Cited by 78

Active Learning for Deep Object Detection

Brust, C.-A., Käding, C., & Denzler, J. (2019) · Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications

Machine Learning and AlgorithmsAdvanced Neural Network Applications

Cited by 48

Data-Driven Detection of General Chiasmi Using Lexical and Semantic Features

Schneider, F., Barz, B., Brandes, P., Marshall, S., & Denzler, J. (2021) · Proceedings of the 5th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature

Digital Humanities and ScholarshipNatural Language Processing Techniques

Cited by 3