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Fingerprint 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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Research Output 2004 2019

59 Downloads (Pure)

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 journalArticleAcademicpeer-review

Open Access
File
Time series
Neural networks
Large scale systems
Decision making
Data mining

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 conferencePaperAcademicpeer-review

Open Access
File

How model accuracy and explanation fidelity influence user trust in AI

Papenmeier, A., Englebienne, G. & Seifert, C., 2019.

Research output: Contribution to conferencePaperAcademicpeer-review

Open Access
File
16 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., 3 May 2019, In : IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
Radiology
Quality Assurance
Quality assurance
Breast Cancer
Conditional Random Fields

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 Society

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access
File