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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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Axel Heim

Christopher Heim

Hartmut Heim

Manfred Heim

Ursula Heim

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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)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)Semantic Desktop 2.0: The Gnowsis ExperienceC. Fluit, B. Horak, G. Grimnes, A. Dengel, D. Nadeem, L. Sauermann, D. Heim, and M. Kiesel. Proc.of 5th International Semantic Web Conference, Athens, GA, USA, November 5-9, 2006, LNCS 4273, (2006)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)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)

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Disambiguation of "Heim, Dominik"

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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

Axel Heim

Christopher Heim

Hartmut Heim

Manfred Heim

Ursula Heim

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Heim, Dominik"

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

Axel Heim

Christopher Heim

Hartmut Heim

Manfred Heim

Ursula Heim

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