Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

A Comparison of Uncertainty Quantification Methods for Active Learning in Image Classification.

A. Hein, S. Röhrl, T. Grobel, M. Lengl, N. Hafez, M. Knopp, C. Klenk, D. Heim, O. Hayden, and K. Diepold. IJCNN, page 1-8. IEEE, (2022)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Christian Klenk

Eugen Klenk

Astrid Klenk

Jochen Klenk

Other publications of authors with the same name

Explainable Artificial Intelligence for Cytological Image Analysis.S. Röhrl, H. Maier, M. Lengl, C. Klenk, D. Heim, M. Knopp, S. Schumann, O. Hayden, and K. Diepold. AIME, volume 13897 of Lecture Notes in Computer Science, page 75-85. Springer, (2023)A Comparison of Uncertainty Quantification Methods for Active Learning in Image Classification.A. Hein, S. Röhrl, T. Grobel, M. Lengl, N. Hafez, M. Knopp, C. Klenk, D. Heim, O. Hayden, and K. Diepold. IJCNN, page 1-8. IEEE, (2022)Autoencoder Features for Differentiation of Leukocytes Based on Digital Holographic Microscopy (DHM).S. Röhrl, M. Ugele, C. Klenk, D. Heim, O. Hayden, and K. Diepold. EUROCAST (2), volume 12014 of Lecture Notes in Computer Science, page 281-288. Springer, (2019)Composition Counts: A Machine Learning View on Immunothrombosis using Quantitative Phase Imaging.D. Fresacher, S. Röhrl, C. Klenk, J. Erber, H. Irl, D. Heim, M. Lengl, S. Schumann, M. Knopp, M. Schlegel and 3 other author(s). MLHC, volume 219 of Proceedings of Machine Learning Research, page 208-229. PMLR, (2023)Towards Interpretable Classification of Leukocytes based on Deep Learning.S. Röhrl, J. Groll, M. Lengl, S. Schumann, C. Klenk, D. Heim, M. Knopp, O. Hayden, and K. Diepold. CoRR, (2023)Explainable Feature Learning with Variational Autoencoders for Holographic Image Analysis.S. Röhrl, L. Bernhard, M. Lengl, C. Klenk, D. Heim, M. Knopp, S. Schumann, O. Hayden, and K. Diepold. BIOIMAGING, page 69-77. SCITEPRESS, (2023)Measurement of Platelet Aggregation in Ageing Samples and After in-Vitro Activation.C. Klenk, D. Fresacher, S. Röhrl, D. Heim, M. Lengl, S. Schumann, M. Knopp, K. Diepold, S. Holdenrieder, and O. Hayden. BIOIMAGING, page 57-65. SCITEPRESS, (2023)Outlier Detection using Self-Organizing Maps for Automated Blood Cell Analysis.S. Röhrl, A. Hein, L. Huang, D. Heim, C. Klenk, M. Lengl, M. Knopp, N. Hafez, O. Hayden, and K. Diepold. CoRR, (2022)

BibSonomy

Disambiguation of "Klenk, Christian"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

A Comparison of Uncertainty Quantification Methods for Active Learning in Image Classification.

Please choose a person to relate this publication to

Christian Klenk

Christian Klenk

Eugen Klenk

Astrid Klenk

Jochen Klenk

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Klenk, Christian"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A Comparison of Uncertainty Quantification Methods for Active Learning in Image Classification.

Please choose a person to relate this publication to

Christian Klenk

Christian Klenk

Eugen Klenk

Astrid Klenk

Jochen Klenk

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

A Comparison of Uncertainty Quantification Methods for Active Learning in Image Classification.