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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)

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Helmut Knopp

Robert Knopp

Matthias Knopp

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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)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)Formation control using GQ(λ) reinforcement learning.M. Knopp, C. Aykin, J. Feldmaier, and H. Shen. RO-MAN, page 1043-1048. IEEE, (2017)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)Deep Reinforcement Learning for Formation Control.C. Aykin, M. Knopp, and K. Diepold. RO-MAN, page 1-5. IEEE, (2018)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)Insights into the mind of a trojan designer: the challenge to integrate a trojan into the bitstream.M. Ender, P. Swierczynski, S. Wallat, M. Wilhelm, P. Knopp, and C. Paar. ASP-DAC, page 112-119. ACM, (2019)

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Outlier Detection using Self-Organizing Maps for Automated Blood Cell Analysis.

Please choose a person to relate this publication to

Helmut Knopp

Robert Knopp

Matthias Knopp

Tobias Knopp

Eva Knopp

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Knopp, Martin"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Outlier Detection using Self-Organizing Maps for Automated Blood Cell Analysis.

Please choose a person to relate this publication to

Helmut Knopp

Robert Knopp

Matthias Knopp

Tobias Knopp

Eva Knopp

Other publications of authors with the same name

Disambiguation

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URL
DOI
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Outlier Detection using Self-Organizing Maps for Automated Blood Cell Analysis.