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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)

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Christian Klenk

Eugen Klenk

Astrid Klenk

Jürgen Klenk

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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)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)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)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)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)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)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)

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Disambiguation of "Klenk, Christian"

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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

Jürgen 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

Jürgen Klenk

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
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APA
Chicago
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A Comparison of Uncertainty Quantification Methods for Active Learning in Image Classification.