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All Outputs (9)

Video tampering localisation using features learned from authentic content. (2019)
Journal Article
JOHNSTON, P., ELYAN, E. and JAYNE, C. 2020. Video tampering localisation using features learned from authentic content. Neural computing and applications [online], 32(16): special issue on Real-world optimization problems and meta-heuristics and selected papers from the 19th Engineering applications of neural networks conference 2018 (EANN 2018), 3-5 September 2018, Bristol UK , pages 12243-12257. Available from: https://doi.org/10.1007/s00521-019-04272-z

Video tampering detection remains an open problem in the field of digital media forensics. As video manipulation techniques advance, it becomes easier for tamperers to create convincing forgeries that can fool human eyes. Deep learning methods have a... Read More about Video tampering localisation using features learned from authentic content..

New trends on digitisation of complex engineering drawings. (2018)
Journal Article
MORENO-GARCIA, C.F., ELYAN, E. and JAYNE, C. 2019. New trends on digitisation of complex engineering drawings. Neural computing and applications [online], 31(6): selected papers from the proceedings of the 18th Engineering applications of neural networks conference (EANN 2017), 25-27 August 2017, Athens, Greece, pages 1695-1712. Available from: https://doi.org/10.1007/s00521-018-3583-1

Engineering drawings are commonly used across different industries such as oil and gas, mechanical engineering and others. Digitising these drawings is becoming increasingly important. This is mainly due to the legacy of drawings and documents that m... Read More about New trends on digitisation of complex engineering drawings..

Deep imitation learning for 3D navigation tasks. (2017)
Journal Article
HUSSEIN, A., ELYAN, E., GABER, M.M. and JAYNE, C. 2018. Deep imitation learning for 3D navigation tasks. Neural computing and applications [online], 29(7), pages 389-404. Available from: https://doi.org/10.1007/s00521-017-3241-z

Deep learning techniques have shown success in learning from raw high dimensional data in various applications. While deep reinforcement learning is recently gaining popularity as a method to train intelligent agents, utilizing deep learning in imita... Read More about Deep imitation learning for 3D navigation tasks..

Imitation learning: a survey of learning methods. (2017)
Journal Article
HUSSEIN, A., GABER, M.M., ELYAN, E. and JAYNE, C. 2017. Imitation learning: a survey of learning methods. ACM computing surveys [online], 50(2), article 21. Available from: https://doi.org/10.1145/3054912

Imitation learning techniques aim to mimic human behavior in a given task. An agent (a learning machine) is trained to perform a task from demonstrations by learning a mapping between observations and actions. The idea of teaching by imitation has be... Read More about Imitation learning: a survey of learning methods..

The evaluation of i-SIDRA - a tool for intelligent feedback - in a course on the anatomy of the locomotor system. (2016)
Journal Article
FERNANDEZ-ALEMAN, J.L., LOPEZ-GONZALEZ, L., GONZALEZ-SEQUEROS, O., JAYNE, C., LOPEZ-JIMENEZ, J.J. and TOVAL, A. 2016. The evaluation of i-SIDRA - a tool for intelligent feedback - in a course on the anatomy of the locomotor system. International journal of medical informatics [online], 94, pages 172-181. Available from: https://doi.org/10.1016/j.ijmedinf.2016.07.008.

Objective This paper presents an empirical study of a formative mobile-based assessment approach that can be used to provide students with intelligent diagnostic feedback to test its educational effectiveness. Method An audience response system calle... Read More about The evaluation of i-SIDRA - a tool for intelligent feedback - in a course on the anatomy of the locomotor system..

Automatic screening and classification of diabetic retinopathy and maculopathy using fuzzy image processing. (2016)
Journal Article
RAHIM, S.S., PALADE, V., SHUTTLEWORTH, J. and JAYNE, C. 2016. Automatic screening and classification of diabetic retinopathy and maculopathy using fuzzy image processing. Brain informatics [online], 3(4), pages 249-267. Available from: https://doi.org/10.1007/s40708-016-0045-3

Digital retinal imaging is a challenging screening method for which effective, robust and cost-effective approaches are still to be developed. Regular screening for diabetic retinopathy and diabetic maculopathy diseases is necessary in order to ident... Read More about Automatic screening and classification of diabetic retinopathy and maculopathy using fuzzy image processing..

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..