Vassilis Kostakos
Mirco Musolesi
- Kostakos, V., Ferreira, D., Goncalves, J., and Hosio, S. Modelling smartphone usage: A Markov state transition model. Proc. of the 2016 International Joint Conference on Pervasive and Ubiquitous Computing. ACM, New York, 2016. Google Scholar
Digital Library
- Mehrotra, A., Musolesi, M., Hendley, R., and Pejovic, V. Designing content-driven intelligent notification mechanism for mobile applications. Proc. of the 2016 International Joint Conference on Pervasive and Ubiquitous Computing. ACM, New York, 2015. Google ScholarDigital Library
- Pejovic, V. and Musolesi, M. Anticipatory mobile computing: A survey of the state of the art and research challenges. ACM Computing Surveys 47, 3 (Apr. 2015). Google ScholarDigital Library
- Agrawal, R., Imielinski, T., and Swami, A. Mining association rules between sets of items in large databases. Proc. of the 1993 ACM SIGMOD International Conference on Management of Data. ACM. New York, 1993. Google ScholarDigital Library
- Goodfellow, I., Bengio, Y., and Courville, A. Deep Learning. MIT Press, 2017. Google ScholarDigital Library
- Flach, P. Machine Learning. The Art and Science of Algorithms that Make Sense of Data. Cambridge Univ. Press, 2012. Google ScholarDigital Library
- Tsapeli, F. and Musolesi, M. Investigating causality in human behaviour from smartphone sensor data: A quasi-experimental approach. EPJ Data Science 4, 1 (2015).Google Scholar
Index Terms
- Avoiding pitfalls when using machine learning in HCI studies
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