1. 2018
  2. Data-driven hazardous gas dispersion modeling using the integration of particle filtering and error propagation detection

    Zhu, Z., Qiu, S., Chen, B., Wang, R. & Qiu, X., 2018, In : International Journal of Environmental Research and Public Health. 15, 8, 17 p., 1640.

    Research output: Contribution to journalArticleScientificpeer-review

  3. Debugging Data Flows in Reactive Programs

    Banken, H., Meijer, E. & Gousios, G., 2018, Proceedings of the 40th International Conference on Software Engineering, ICSE 2018. New York, NY: Association for Computing Machinery (ACM)

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

  4. Digitally Scaffolding Debate in the Classroom.

    Holzer, A., Tintarev, N., Bendahan, S., Kocher, B., Greenup, S. & Gillet, D., 2018, Proceedings of the 2018 CHI Conference Extended Abstracts on Human Factors in Computing Systems.. 6 p.

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

  5. Effective crowdsourced generation of training data for chatbots natural language understanding

    Bapat, R., Kucherbaev, P. & Bozzon, A., 2018, Web Engineering - 18th International Conference, ICWE 2018, Proceedings. Springer, p. 114-128 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10845 LNCS).

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

  6. Effects of Individual Traits on Diversity-aware Music Recommender User Interfaces

    Jin, Y., Tintarev, N. & Verbert, K., 2018, UMAP'18: Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization. New York: Association for Computing Machinery (ACM), p. 291-299 9 p.

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

  7. Effects of Personal Characteristics on Music Recommender Systems with Different Levels of Controllability

    Jin, Y., Tintarev, N. & Verbert, K., 2018, RecSys '18 : Proceedings of the 12th ACM Conference on Recommender Systems. New York, NY: Association for Computer Machinery, p. 13-21 9 p.

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

  8. Enterprise Crowd Computing for Human Aided Chatbots

    Bozzon, A., 2018, Proceedings of the 1st International Workshop on Software Engineering for Cognitive Services. New York, NY: Association for Computing Machinery (ACM), p. 29-30 2 p.

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

  9. Evaluating Crowdworkers as a Proxy for Online Learners in Video-Based Learning Contexts

    Davis, D., Hauff, C. & Houben, G-J., 2018, In : ACM Proceedings on Human-Computer Interaction. 2, CSCW, p. 1-16 16 p., 42.

    Research output: Contribution to journalArticleScientificpeer-review

  10. Explaining Credibility in News Articles using Cross-Referencing

    Bountouridis, D., Marrero Llinares, M., Tintarev, N. & Hauff, C., 2018, (Submitted) SIGIR workshop on ExplainAble Recommendation and Search (EARS).

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

  11. Explanations for Groups

    Felfernig, A., Tintarev, N., Tran, T. N. T. & Stettinger, M., 2018, Group Recommender Systems. Cham: Springer, p. 105-126 22 p. (SpringerBriefs in Electrical and Computer Engineering).

    Research output: Chapter in Book/Report/Conference proceedingChapterScientific

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