Roos de Kok, Andrea Mauri, Alessandro Bozzon (2019), Automatic Processing of User-Generated Content for the Description of Energy-Consuming Activities at Individual and Group Level, In Energies Volume 12 p.1-28.

Bibeg Hang Limbu, Halszka Jarodzka, Roland Klemke, Marcus Specht (2019), Can you ink while you blink?: Assessing mental effort in a sensor-based calligraphy trainer, In Sensors (Switzerland) Volume 19 p.1-17.

Panagiotis Mavridis, Owen Huang, Sihang Qiu, U.K. Gadiraju, Alessandro Bozzon (2019), Chatterbox: Conversational Interfaces for Microtask Crowdsourcing, In UMAP'19 p.243-251, Association for Computing Machinery (ACM).

Daniel Vliegenthart, Sepideh Mesbah, Christoph Lofi, Akiko Aizawa, Alessandro Bozzon (2019), Coner: A Collaborative Approach for Long-Tail Named Entity Recognition in Scientific Publications, Antoine Doucet, Antoine Isaac, Koraljka Golub, Trond Aalberg, Adam Jatowt (Eds.), In Digital Libraries for Open Knowledge p.3-17, Springer.

Yucheng Jin, Nyi Nyi Htun, Nava Tintarev, Katrien Verbert (2019), ContextPlay: Evaluating User Control for Context-Aware Music Recommendation, In UMAP'19 p.294-302, Association for Computing Machinery (ACM).

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

Christos Koutras (2019), Data as a language: A novel approach to data integration, 2019 International Conference on Very Large Database PhD Workshop, VLDB-PhD 2019.

Serdar Türkeli, Martine Schophuizen (2019), Decomposing the Complexity of Value: Integration of Digital Transformation of Education with Circular Economy Transition, In Social Sciences Volume 8 p.1-22.

Jaron Harambam, Mykola Makhortykh, Dimitrios Bountouridis, Joris Van Hoboken (2019), Designing for the beter by taking users into account: A qalitative evaluation of user control mechanisms in (NEWS) recommender systems, In RecSys 2019 - 13th ACM Conference on Recommender Systems p.69-77, Association for Computing Machinery (ACM).

Esther Tan, Christian Glahn, Marcus Specht (2019), Designing mobile inquiry-based learning activities: Learners’ agency and technological affordances, Inmaculada Arnedillo Sanchez, Pedro Isaias, Pascal Ravesteijn, Guido Ongena, Luis Rodrigues (Eds.), In Proceedings of the 15th International Conference on Mobile Learning 2019, ML 2019 p.171-174, IADIS Press.