20042020

Research output per year

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Research Output

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
  • 74 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 conferencePaper

    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 conferencePaper

    Open Access
    File

    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
  • 27 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 Society

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

    Open Access
    File