1. 2019
  2. Does reviewer recommendation help developers?

    Kovalenko, V., Tintarev, N., Pasynkov, E., Bird, C. & Bacchelli, A., 2019, (Accepted/In press) In : IEEE Transactions on Software Engineering. p. 1-23 23 p.

    Research output: Contribution to journalArticleScientificpeer-review

  3. Educational Theories and Learning Analytics: From Data to Knowledge

    Wong, J., Baars, M., de Koning, B., van der Zee, T., Davis, D. J., Khalil, M., Houben, G-J. & Paas, F., 2019, Utilizing Learning Analytics to Support Study Success. Springer, p. 3-25

    Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

  4. Effects of anonymity on online peer review in second-language writing

    van den Bos, A. H. & Tan, E., 2019, In : Computers and Education. 142, p. 1-13 13 p., 103638.

    Research output: Contribution to journalArticleScientificpeer-review

  5. Effects of personal characteristics in control-oriented user interfaces for music recommender systems

    Jin, Y., Tintarev, N., Htun, N. N. & Verbert, K., 2019, In : User Modeling and User-Adapted Interaction.

    Research output: Contribution to journalArticleScientificpeer-review

  6. Efficient Window Aggregation with General Stream Slicing

    Traub, J., Grulich, P., Cuéllar, A. R., Breß, S., Katsifodimos, A., Rabl, T. & Markl, V., 2019, Advances in Database Technology - EDBT 2019: 22nd International Conference on Extending Database Technology, Proceedings. Herschel, M., Galhardas, H., Binnig, C., Kaoudi, Z., Fundulaki, I. & Reinwald, B. (eds.). OpenProceedings.org, p. 97-108 12 p.

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

  7. Estimate Sentiment of Crowds from Social Media during City Events

    Gong, V. X., Daamen, W., Bozzon, A. & Hoogendoorn, S. P., 2019, In : Transportation Research Record. 2673, 11, p. 836-850 15 p.

    Research output: Contribution to journalArticleScientificpeer-review

  8. From Evaluating to Forecasting Performance: How to Turn Information Retrieval, Natural Language Processing and Recommender Systems into Predictive Sciences (Dagstuhl Perspectives Workshop 17442)

    Ferro, N., Fuhr, N., Grefenstette, G., Kuflik, T., Lindén, K., Magnini, B., Nie, J-Y., Perego, R., Tintarev, N. & More Authors, 2019, In : Dagstuhl Manifestos. 7, 1, p. 96-139 44 p.

    Research output: Contribution to journalArticleScientific

  9. Learning Analytics Technology to Understand Learner Behavioral Engagement in MOOCs

    Zhao, Y., 2019, 164 p.

    Research output: ThesisDissertation (TU Delft)Scientific

  10. MOOC Analytics: Learner Modeling and Content Generation

    Chen, G., 2019, 188 p.

    Research output: ThesisDissertation (TU Delft)Scientific

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