Research output per year
Research output per year
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Dive into the research topics where Christin Seifert is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Causal Discovery with Attention-Based Convolutional Neural Networks
Nauta, M., Bucur, D. & Seifert, C., 7 Jan 2019, In: Machine Learning and Knowledge Extraction. 1, 1, p. 312-340 28 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile112 Downloads (Pure) -
Comparing Process Models for Patient Populations: Application in Breast Cancer Care
Marazza, F., Bukhsh, F. A., Vijlbrief, O., Geerdink, J., Pathak, S., van Keulen, M. & Seifert, C., 2019.Research output: Contribution to conference › Paper › peer-review
Open AccessFile140 Downloads (Pure) -
How model accuracy and explanation fidelity influence user trust in AI
Papenmeier, A., Englebienne, G. & Seifert, C., 2019.Research output: Contribution to conference › Paper › peer-review
Open AccessFile287 Downloads (Pure) -
Post-Structuring Radiology Reports of Breast Cancer Patients for Clinical Quality Assurance
Pathak, S., van Rossen, J., Vijlbrief, O., Geerdink, J., Seifert, C. & van Keulen, M., Nov 2020, In: IEEE/ACM Transactions on Computational Biology and Bioinformatics. 17, 6, p. 1883-1894Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile3 Citations (Scopus)119 Downloads (Pure) -
The Best of both Worlds: Challenges in Linking Provenance and Explainability in Distributed Machine Learning
Scherzinger, S., Seifert, C. & Wiese, L., 2019, (Accepted/In press) Proceedings of the 39th International Conference on Distributed Computing Systems. IEEE Computer SocietyResearch output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile86 Downloads (Pure)