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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.

Sarah Ibrahimi, Shuo Chen, Devanshu Arya, Arthur Câmara, Yunlu Chen, Tanja Crijns, Maurits Van Der Goes, Thomas Mensink, Emiel Van Miltenburg, More Authors (2019), Interactive exploration of journalistic video footage through multimodal semantic matching, In MM 2019 - Proceedings of the 27th ACM International Conference on Multimedia p.2196-2198, Association for Computing Machinery (ACM).

Daniel Davis (2019), Large-Scale Learning Analytics: Modeling Learner Behavior & Improving Learning Outcomes in Massive Open Online Courses, PhD Thesis Delft University of Technology.

Yue Zhao (2019), Learning Analytics Technology to Understand Learner Behavioral Engagement in MOOCs, PhD Thesis Delft University of Technology.

Guanliang Chen (2019), MOOC Analytics: Learner Modeling and Content Generation, PhD Thesis Delft University of Technology.

Andrea Mauri, Alessandro Bozzon, Roos De Kok (2019), Mapping Energy Frames: an Innovative Approach Engaging with New Forms and Types of ‘data’ in Social Media Analysis to Frame Energy Demand, Federico Savini, Beatriz Pineda Revilla, Karin Pfeffer, Luca Bertolini (Eds.), In From efficiency to reduction. Tackling energy consumption in a cross disciplinary perspective p.113-147, InPlanning.

Abdulrahman Kaitoua, Tilmann Rabl, Asterios Katsifodimos, Volker Markl (2019), Muses: Distributed data migration system for polystores, In 2019 IEEE 35th International Conference on Data Engineering (ICDE) p.1602-1605, IEEE.

Felipe Moraes, Claudia Hauff (2019), Node-indri: Moving the indri toolkit to the modern web stack, Norbert Fuhr, Leif Azzopardi, Djoerd Hiemstra, Claudia Hauff, Benno Stein, Philipp Mayr (Eds.), In Advances in Information Retrieval p.241-245, Springer.