Outputs (2)

Exploring User Expectations of Brain-Training and Coaching Technologies for Cognitive Health (2020)
Book Chapter
Harrington, K., Craven, M. P., Wilson, M. L., & Landowska, A. (2020). Exploring User Expectations of Brain-Training and Coaching Technologies for Cognitive Health. . Springer Verlag. https://doi.org/10.1007/978-3-030-49065-2_4

User-centred evaluation of brain-training and coaching applications is discussed, with a focus on dementia. A brief outline of outcomes measures used for cognitive training is presented. The design of a set of four patient and public involvement work... Read More about Exploring User Expectations of Brain-Training and Coaching Technologies for Cognitive Health.

Evaluating Automated Machine Learning on Supervised Regression Traffic Forecasting Problems (2020)
Book Chapter
Angarita-Zapata, J. S., Masegosa, A. D., & Triguero, I. (2020). Evaluating Automated Machine Learning on Supervised Regression Traffic Forecasting Problems. In O. Llanes Santiago, C. Cruz Corona, A. J. Silva Neto, & J. L. Verdegay (Eds.), Computational intelligence in emerging technologies for engineering applications (187-204). Springer. https://doi.org/10.1007/978-3-030-34409-2_11

© Springer Nature Switzerland AG 2020. Traffic forecasting is a well-known strategy that supports road users and decision-makers to plan their movements on the roads and to improve the management of traffic, respectively. Current data availability an... Read More about Evaluating Automated Machine Learning on Supervised Regression Traffic Forecasting Problems.