Vladimir Kovalenko, Nava Tintarev, Evgeny Pasynkov, Christian Bird, Alberto Bacchelli (2019), Does reviewer recommendation help developers?, In IEEE Transactions on Software Engineering Volume 46 p.710-731.

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: The Whole Is Greater Than the Sum of Its Parts, Dirk Ifenthaler, Dana-Kristin Mah, Jane Yin-Kim Yau (Eds.), In Utilizing Learning Analytics to Support Study Success p.3-25, Springer.

Anne Hester van den Bos, Esther Tan (2019), Effects of anonymity on online peer review in second-language writing, In Computers and Education Volume 142 p.1-13.

Yucheng Jin, Nava Tintarev, Nyi Nyi Htun, Katrien Verbert (2019), Effects of personal characteristics in control-oriented user interfaces for music recommender systems, In User Modeling and User-Adapted Interaction Volume 30 (2020) p.199-249.

Jonas Traub, Philipp Grulich, Alejandro Rodríguez Cuéllar, Sebastian Breß, Asterios Katsifodimos, Tilmann Rabl, Volker Markl (2019), Efficient Window Aggregation with General Stream Slicing, Melanie Herschel, Helena Galhardas, Carsten Binnig, Zoi Kaoudi, Irini Fundulaki, Berthold Reinwald (Eds.), In Advances in Database Technology - EDBT 2019 p.97-108, OpenProceedings.org.

Vincent X. Gong, Winnie Daamen, Alessandro Bozzon, Serge P. Hoogendoorn (2019), Estimate Sentiment of Crowds from Social Media during City Events, In Transportation Research Record Volume 2673 p.836-850.

Laurens van den Bercken, Robert-Jan Sips, Christoph Lofi (2019), Evaluating Neural Text Simplification in the Medical Domain, In WWW'19 The World Wide Web Conference (WWW) p.3286-3292, ACM.

Alessandro Bozzon, Francisco Domínguez Mayo, Joaquim Filipe (2019), Foreword, Alessandro Bozzon, Francisco Domínguez Mayo, Joaquim Filipe (Eds.), In WEBIST 2019 - Proceedings of the 15th International Conference on Web Information Systems and Technologies p.XI.

Nicola Ferro, Norbert Fuhr, Gregory Grefenstette, Tsvi Kuflik, Krister Lindén, Bernardo Magnini, Jian-Yun Nie, Raffaele Perego, Nava Tintarev, More Authors (2019), From Evaluating to Forecasting Performance: How to Turn Information Retrieval, Natural Language Processing and Recommender Systems into Predictive Sciences (Dagstuhl Perspectives Workshop 17442), In Dagstuhl Manifestos Volume 7 p.96-139.

E. Manousogiannis, Sepideh Mesbah, Selene Baez Santamaria, Alessandro Bozzon, Robert-Jan Sips (2019), Give it a shot: Few-shot learning to normalize ADR mentions in Social Media posts, Davy Weissenbacher, Graciela Gonzalez-Hernandez (Eds.), In Proceedings of the 4th Social Media Mining for Health Applications (#SMM4H) Workshop & Shared Task p.114–116, Association for Computational Linguistics.