Peide Zhu, Claudia Hauff (2022), Unsupervised Domain Adaptation for Question Generation with Domain Data Selection and Self-training, In Findings of the Association for Computational Linguistics: NAACL 2022 p.2388-2401, Association for Computational Linguistics (ACL).

N. Roy, D.M. Maxwell, C. Hauff (2022), Users and Contemporary SERPs: A (Re-)Investigation: Examining User Interactions and Experiences, In SIGIR 2022 - Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval p.2765–2775, ACM DL.

A. Soleymani, L.C.M. Itard, Maarten de Laat, M. Valle Torre, M.M. Specht (2022), Using Social Network Analysis to explore Learning networks in MOOCs discussion forums, In CLIMA 2022 - 14th REHVA HVAC World Congress, TU Delft OPEN Publishing.

Caspar J. van Lissa, Wolfgang Stroebe, Michelle R. van Dellen, N. Pontus Leander, Maximillian Agostini, T.A. Draws, Andrii Grygoryshyn, Ben Gutzgow, A.M.J. Reitsema, More Authors (2022), Using machine learning to identify important predictors of COVID-19 infection prevention behaviors during the early phase of the pandemic, In Patterns Volume 3.

Gillian Saunders-Smits, G. van Helden, V. van der Werf, M.M. Specht (2022), Using peer assessment in inclusive digital education, Hannu-Matti Jarvinen, Santiago Silvestre, Ariadna Llorens, Balazs Vince Nagy (Eds.), In Proceedings of the 50th Annual Conference Universitat Politècnica de Catalunya · BarcelonaTech (UPC) p.2305-2308.

Yoon Lee, Haoyu Chen, Guoying Zhao, Marcus Specht (2022), WEDAR: Webcam-based Attention Analysis via Attention Regulator Behavior Recognition with a Novel E-reading Dataset, In ICMI 2022 - Proceedings of the 2022 International Conference on Multimodal Interaction p.319-328, Association for Computing Machinery (ACM).

B.H. Limbu, G. van Helden, Jan Schneider Barnes, M.M. Specht (2022), We can teach more than we can tell: combining Deliberate Practice, Embodied Cognition, and Multimodal Learning, Khaleel Asyraaf Mat Sanusi, Bibeg Limbu , Jan Schneider , Daniele Di Mitri, Roland Klemke (Eds.), In MILeS 2022 p.15-21, CEUR-WS.

Shahin Sharifi Noorian, Sihang Qiu, Ujwal Gadiraju, Jie Yang, Alessandro Bozzon (2022), What Should You Know? A Human-In-the-Loop Approach to Unknown Unknowns Characterization in Image Recognition, In WWW 2022 - Proceedings of the ACM Web Conference 2022 p.882-892, Association for Computing Machinery (ACM).

Gianluca Demartini, Jie Yang, Shazia Sadiq (2022), Workshop on Human-in-the-loop Data Curation, In CIKM 2022 - Proceedings of the 31st ACM International Conference on Information and Knowledge Management p.5161-5162, Association for Computing Machinery (ACM).

Tim Draws, Alisa Rieger, Oana Inel, Ujwal Gadiraju, Nava Tintarev (2021), A Checklist to Combat Cognitive Biases in Crowdsourcing, Ece Kamar, Kurt Luther (Eds.), In Proceedings of the AAAI Conference on Human Computation and Crowdsourcing Volume 9 p.48-59, Association for the Advancement of Artificial Intelligence (AAAI).