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ENVISAGE Project Publications.

Anastasios Karakostas, Anastasios Maronidis, Dimitrios Ververidis, Efstathios Nikolaidis, Anastasios Papazoglou – Chalikias, Spiros Nikolopoulos, Ioannis Kompatsiaris, Enhancing Virtual Learning Spaces: the impact of the Gaming Analytics, A2LS Springer book "Software Data Engineering For Network eLearning Environments: Analytics and Awareness Learning Services", 2017.


Pedersen, F. W., Thomsen, L. E., Mirza-Babaei, P., & Drachen, A., “Evaluating the Onboarding Phase of Free-to-Play Mobile Games: A Mixed-Method Approach”, In Proc. Annual Symposium on Computer-Human Interaction, Amsterdam, 2017


Panagiotis Migkotzidis, Dimitrios Ververidis, Eleftherios Anastasovitis, Spiros Nikolopoulos, Ioannis Kompatsiaris, Georgios Mavromanolakis, Line Ebdrup Thomsen, Marc Müller and Fabian Hadiji, “Enhanced virtual learning spaces using applied gaming”, In Proc. International Conf. Interactive Collaborative Learning, 2018


Dimitrios Ververidis, Giannis Chantas, Spiros Nikolopoulos, Yannis Kompatsiaris, Panagiotis Migkotzidis, Eleftherios Anastasovitis, Georgios Mavromanolakis, Line Ebdrup Thomsen, Anastasios Papazoglou-Chalikias, Efstathios Nikolaidis, Antonios Liapis, Georgios Yannakakis, Marc Müller, Fabian Hadiji, “An authoring tool for educators to make virtual labs”, in Proc. International Conf. Interactive Collaborative Learning (ICL2018)


Daniele Gravina, Antonios Liapis and Georgios N. Yannakakis, “Fusing Novelty and Surprise for Evolving Robot Morphologies”, in Proceedings of the Genetic and Evolutionary Computation Conference. ACM, 2018.


G. N. Yannakakis, R. Cowie, C. Busso,, “The Ordinal Nature of Emotions: An Emerging Approach,” IEEE Transactions on Affective Computing, 2018, Computational representation of everyday emotional states is a challenging task and, arguably, one of the most fundamental for affective computing. Standard practice in emotion annotation is to ask people to assign a value of intensity or a class value to each emotional behavior they observe. Psychological theories and evidence from multiple disciplines including neuroscience, economics […]


Müller, Marc, Churn and Conversion Prediction as a Service. AWS Summit 2018, 6th June, Berlin., (Talk) is a predictive analytics service that helps to increase retention and to improve monetization in mobile and web-based businesses. Their platform offers predictions about future user behavior and automatically segments user data into valuable micro-segments. The resulting insights are then used in different ways to personalize the user experience. By doing so, the […]


Hadiji, Fabian and Müller, Marc., Predicting Learners’ Behavior and Adapting Content. Learntec 2019, 29th January, Karlsruhe., (Talk)


EunJo Lee, Yoonjae Jang, DuMim Yoon, JiHoon Jeon, Seong-il Yang, Sang-Kwang Lee, Dae-Wook Kim, Pei Pei Chen, Anna Guitart, Paul Bertens, Á frica Periáñez, Fabian Hadiji, Marc Müller, Youngjun Joo, Jiyeon Lee, Inchon Hwang and Kyung-Joong Kim, Game Data Mining Competition on Churn Prediction and Survival Analysis using Commercial Game Log Data, IEEE Transactions on Computational Intelligence and AI in Games, 2018