Jan-Gerrit Harms, Pavel Kucherbaev, Alessandro Bozzon, Geert-Jan Houben (2019), Approaches for Dialog Management in Conversational Agents, In IEEE Internet Computing volume 23 pp. 13-22.

Sihang Qiu, Achilleas Psyllidis, Alessandro Bozzon, Geert-Jan Houben (2019), Crowd-Mapping Urban Objects from Street-Level Imagery, Proceedings of the 2019 World Wide Web Conference pp. 1521-1531 Association for Computing Machinery (ACM).

J. Wong, M. Baars, B. de Koning, T. van der Zee, D.J. Davis, M. Khalil, Geert-Jan Houben, F. Paas (2019), Educational Theories and Learning Analytics: From Data to Knowledge, Utilizing Learning Analytics to Support Study Success pp. 3-25 Springer.

Jacqueline Wong, Martine Baars, Björn B. De Koning, Tim Van Der Zee, Dan Davis, Mohammad Khalil, Geert Jan Houben, Fred Paas (2019), Educational theories and learning analytics: From data to knowledge: The whole is greater than the sum of its parts, Utilizing learning analytics to support study success pp. 3-25 Springer.

Geert-Jan Houben, Kristina Lerman (2019), PhD symposium chairs' welcome, In L. Liu, R. White (Eds.) WWW'19 pp. 1-1 Association for Computing Machinery (ACM).

Jacqueline Wong, Martine Baars, Dan Davis, Tim Van Der Zee, Geert Jan Houben, Fred Paas (2019), Supporting Self-Regulated Learning in Online Learning Environments and MOOCs: A Systematic Review, In International Journal of Human-Computer Interaction volume 35 pp. 356-373.

Sihem Amer-Yahia, Geert Jan Houben, Mohammad Madian, Kristina Lerman, Ashish Goel, Julian McAuley (2019), The Web Conference 2019 Companion Volume Preface, Proceedings of The Web Conference 2019 pp. III.

Sepideh Mesbah, Jie Yang, Robert-Jan Sips, Manuel Valle Torre, Christoph Lofi, Alessandro Bozzon, Geert-Jan Houben (2019), Training Data Augmentation for Detecting Adverse Drug Reactions in User-Generated Content, International conference on Empirical Methods in Natural Language Processing (EMNLP) pp. 2349–2359.

Geert-Jan Houben, Bamshad Mobasher (2019), UMAP 2019 theory, reflection, and opinion track: Chairs' welcome and overview, UMAP'19 Adjunct pp. 1-1 Association for Computing Machinery (ACM).

Dan Davis, Guanliang Chen, Claudia Hauff, Geert-Jan Houben (2018), Activating Learning at Scale: A Review of Innovations in Online Learning Strategies, In Computers & Education volume 125 pp. 327-344.