All Outputs (23)

Comparative analysis of relevance feedback methods based on two user studies. (2016)
Journal Article
AKUMA, S., IQBAL, R., JAYNE, C. and DOCTOR, F. 2016. Comparative analysis of relevance feedback methods based on two user studies. Computers in human behavior [online], 60, pages 138-146. Available from: https://doi.org/10.1016/j.chb.2016.02.064

Rigorous analysis of user interest in web documents is essential for the development of recommender systems. This paper investigates the relationship between the implicit parameters and user explicit rating during their search and reading tasks. The... Read More about Comparative analysis of relevance feedback methods based on two user studies..

An empirical study of neural network-based audience response technology in a human anatomy course for pharmacy students. (2016)
Journal Article
FERNANDEZ-ALEMAN, J.L., LOPEZ-GONZALEZ, L., GONZALEZ-SEQUEROS, O., JAYNE, C., LOPEZ-JIMENEZ, J.J., CARRILLO-DE-GEA, J.M. and TOVAL, A. 2016. An empirical study of neural network-based audience response technology in a human anatomy course for pharmacy students. Journal of medical systems [online], 40(4), article number 85. Available from: https://doi.org/10.1007/s10916-016-0440-6

This paper presents an empirical study of a formative neural network-based assessment approach, by using mobile technology to provide pharmacy students with intelligent diagnostic feedback. An unsupervised learning algorithm was integrated with an au... Read More about An empirical study of neural network-based audience response technology in a human anatomy course for pharmacy students..

Automatic detection of microaneurysms in colour fundus images for diabetic retinopathy screening. (2015)
Journal Article
RAHIM, S.S., JAYNE, C., PALADE, V. and SHUTTLEWORTH, J. 2016. Automatic detection of microaneurysms in colour fundus images for diabetic retinopathy screening. Neural computing and applications [online], 27(5), pages 1149-1164. Available from: https://doi.org/10.1007/s00521-015-1929-5.

Regular eye screening is essential for the early detection and treatment of the diabetic retinopathy. This paper presents a novel automatic screening system for diabetic retinopathy that focuses on the detection of the earliest visible signs of retin... Read More about Automatic detection of microaneurysms in colour fundus images for diabetic retinopathy screening..