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CDSMOTE: class decomposition and synthetic minority class oversampling technique for imbalanced-data classification. (2020)
Journal Article
ELYAN, E., MORENO-GARCIA, C.F. and JAYNE, C. 2021. CDSMOTE: class decomposition and synthetic minority class oversampling technique for imbalanced-data classification. Neural computing and applications [online], 33(7), pages 2839-2851. Available from: https://doi.org/10.1007/s00521-020-05130-z

Class-imbalanced datasets are common across several domains such as health, banking, security, and others. The dominance of majority class instances (negative class) often results in biased learning models, and therefore, classifying such datasets re... Read More about CDSMOTE: class decomposition and synthetic minority class oversampling technique for imbalanced-data classification..

Improved overlap-based undersampling for imbalanced dataset classification with application to epilepsy and Parkinson's disease. (2020)
Journal Article
VUTTIPITTAYAMONGKOL, P. and ELYAN, E. 2020. Improved overlap-based undersampling for imbalanced dataset classification with application to epilepsy and Parkinson's disease. International journal of neural systems [online], 30(8), article ID 2050043. Available from: https://doi.org/10.1142/S0129065720500434

Classification of imbalanced datasets has attracted substantial research interest over the past decades. Imbalanced datasets are common in several domains such as health, finance, security and others. A wide range of solutions to handle imbalanced da... Read More about Improved overlap-based undersampling for imbalanced dataset classification with application to epilepsy and Parkinson's disease..

Deep learning for symbols detection and classification in engineering drawings. (2020)
Journal Article
ELYAN, E., JAMIESON, L. and ALI-GOMBE, A. 2020. Deep learning for symbols detection and classification in engineering drawings. Neural networks [online], 129, pages 91-102. Available from: https://doi.org/10.1016/j.neunet.2020.05.025

Engineering drawings are commonly used in different industries such as Oil and Gas, construction, and other types of engineering. Digitising these drawings is becoming increasingly important. This is mainly due to the need to improve business practic... Read More about Deep learning for symbols detection and classification in engineering drawings..

Overlap-based undersampling method for classification of imbalanced medical datasets. (2020)
Conference Proceeding
VUTTIPITTAYAMONGKOL, P. and ELYAN, E. 2020. Overlap-based undersampling method for classification of imbalanced medical datasets. In Maglogiannis, I., Iliadis, L. and Pimenidis, E. (eds.) Artificial intelligence applications and innovations: AIAI 2020; proceedings of 16th International Federation for Information Processing working group (IFIP WG) 12.5 International artificial intelligence applications and innovations, 5-7 June 2020, Halkidiki, Greece. IFIP advances in information and communication technology, 584. Cham: Springer [online], pages 358-369. Available from: https://doi.org/10.1007/978-3-030-49186-4_30

Early diagnosis of some life-threatening diseases such as cancers and heart is crucial for effective treatments. Supervised machine learning has proved to be a very useful tool to serve this purpose. Historical data of patients including clinical and... Read More about Overlap-based undersampling method for classification of imbalanced medical datasets..

Towards a reliable face recognition system. (2020)
Conference Proceeding
ALI-GOMBE, A., ELYAN, E. and ZWIEGELAAR, J. 2020. Towards a reliable face recognition system. In Iliadis, L., Angelov, P.P., Jayne, C. and Pimenidis, E. (eds.) Proceedings of the 21st Engineering applications of neural networks conference 2020 (EANN 2020); proceedings of the EANN 2020, 5-7 June 2020, Halkidiki, Greece. Proceedings of the International Neural Networks Society, 2. Cham: Springer [online], pages 304-316. Available from: https://doi.org/10.1007/978-3-030-48791-1_23

Face Recognition (FR) is an important area in computer vision with many applications such as security and automated border controls. The recent advancements in this domain have pushed the performance of models to human-level accuracy. However, the va... Read More about Towards a reliable face recognition system..

Predicting permeability based on core analysis. (2020)
Conference Proceeding
KONTOPOULOS, H., AHRIZ, H., ELYAN, E. and ARNOLD, R. 2020. Predicting permeability based on core analysis. In Iliadis, L., Angelov, P.P., Jayne, C. and Pimenidis, E. (eds.) Proceedings of the 21st Engineering applications of neural networks conference 2020 (EANN 2020); proceedings of the EANN 2020, 5-7 June 2020, Halkidiki, Greece. Proceedings of the International Neural Networks Society, vol 2. Cham: Springer [online], pages 143-154. Available from: https://doi.org/10.1007/978-3-030-48791-1_10

Knowledge of permeability, a measure of the ability of rocks to allow fluids to flow through them, is essential for building accurate models of oil and gas reservoirs. Permeability is best measured in the laboratory using special core analysis (SCAL)... Read More about Predicting permeability based on core analysis..

Augmented reality procedural guide system. (2020)
Digital Artefact
ELYAN, E. 2020. Augmented reality procedural guide system. [Video recording]. Aberdeen: Robert Gordon University [online]. Available from: https://youtu.be/SM15leaKbJY

This video provides a brief demonstration of an augmented reality (AR) system for the provision of guidance on correct procedures during the handling of complex equipment. This system was created as part of a project that aimed to replace user guides... Read More about Augmented reality procedural guide system..

Privacy, security, legal and technology acceptance elicited and consolidated requirements for a GDPR compliance platform (2020)
Journal Article
TSOHOU, A., MAGKOS, E., MOURATIDIS, H., CHRYSOLORAS, G., PIRAS, L., PAVLIDIS, M., DEBUSSCHE, J., ROTOLONI, M. and CRESPO, B. G.-N. 2020. Privacy, security, legal and technology acceptance elicited and consolidated requirements for a GDPR compliance platform. Information and computer security [online], 28(4), pages 531-553. Available from: https://doi.org/10.1108/ICS-01-2020-0002

Purpose– General data protection regulation (GDPR) entered into force in May 2018 for enhancing personal data protection. Even though GDPR leads toward many advantages for the data subjects it turned out to be a significant challenge. Organizations n... Read More about Privacy, security, legal and technology acceptance elicited and consolidated requirements for a GDPR compliance platform.

A simple encoder scheme for distributed residual video coding. (2020)
Journal Article
HU, C., ZHAO, Y., YU, L., JIANG, Y. and XIONG, Y. 2020. A simple encoder scheme for distributed residual video coding. Multimedia tools and applications [online], 79(27-28), pages 20061-20078. Available from: https://doi.org/10.1007/s11042-020-08811-y

Rate-Distortion (RD) performance of Distributed Video Coding (DVC) is considerably less than that of conventional predictive video coding. In order to reduce the performance gap, many methods and techniques have been proposed to improve the coding ef... Read More about A simple encoder scheme for distributed residual video coding..

Privacy, security, legal and technology acceptance requirements for a GDPR compliance platform. (2020)
Conference Proceeding
TSOHOU, A., MAGKOS, M., MOURATIDIS, H., CHRYSOLORAS, G., PIRAS, L., PAVLIDIS, M., DEBUSSCHE, J., ROTOLONI, M. and GALLEGO-NICASIO CRESPO, B. 2019. Privacy, security, legal and technology acceptance requirements for a GDPR compliance platform. In Katsikas, S., Cuppens, F., Cuppens, N. et.al (eds.) Computer security: revised and selected papers of 24th European symposium on research in computer security international workshops 2019 (ESORICS 2019), co-located with 5th Security of industrial control systems and cyber-physical systems international workshops (CyberICPS 2019), 3rd Security and privacy requirements engineering international workshops (SECPRE 2019), 1st Security, privacy organizations and systems engineering international workshops (SPOSE 2019) and 2nd Attacks and defences for Internet-of-Things international workshops (ADIoT 2019), 26-27 September 2019, Luxembourg City, Luxembourg. Lecture notes in computer science, 11980. Cham: Springer [online], pages 204- 223. Available from: https://doi.org/10.1007/978-3-030-42048-2_14

GDPR entered into force in May 2018 for enhancing user data protection. Even though GDPR leads towards a radical change with many advantages for the data subjects it turned out to be a significant challenge. Organizations need to make long and comple... Read More about Privacy, security, legal and technology acceptance requirements for a GDPR compliance platform..

Reducing human effort in engineering drawing validation. (2020)
Journal Article
RICA, E., MORENO-GARCÍA, C.F., ÁLVAREZ, S. and SERRATOS, F. 2020. Reducing human effort in engineering drawing validation. Computers in industry [online], 117, article ID 103198. Available from: https://doi.org/10.1016/j.compind.2020.103198

Oil & Gas facilities are extremely huge and have complex industrial structures that are documented using thousands of printed sheets. During the last years, it has been a tendency to migrate these paper sheets towards a digital environment, with the... Read More about Reducing human effort in engineering drawing validation..

A comparison of feature extractors for panorama stitching in an autonomous car architecture. (2019)
Conference Proceeding
CORTÉS-GALLARDO, E., MORENO-GARCIA, C.F., ZHU, A., CHÍPULI-SILVA, D., GONZÁLEZ-GONZÁLEZ, J.A., MORALES-ORTIZ, D., FERNÁNDEZ, S., URRIZA, B., VALVERDE-LÓPEZ, J., MARÍN, A., PÉREZ, H., IZQUIERDO-REYES, J. and BUSTAMANTE-BELLO, R. 2019. A comparison of feature extractors for panorama stitching in an autonomous care architecture. In Proceedings of 2019 International conference on mechatronics, electronics and automotive engineering (ICMEAE 2019), 26-29 November 2019, Cuernavaca, Mexico. Piscataway: IEEE [online], page 50-55. Available from: https://doi.org/10.1109/ICMEAE.2019.00017

Panorama stitching consists on frames being put together to create a 360o view. This technique is proposed for its implementation in autonomous vehicles instead of the use of an external 360o camera, mostly due to its reduced cost and improved aerody... Read More about A comparison of feature extractors for panorama stitching in an autonomous car architecture..

Towards a conversational agent for threat detection in the internet of things. (2019)
Conference Proceeding
MCDERMOTT, C.D., JEANNELLE, B. and ISAACS, J.P. 2019. Towards a conversational agent for threat detection in the internet of things. In Proceedings of the 2019 International Cyber science on cyber situational awareness, data analytics and assessment (Cyber SA): pioneering research and innovation in cyber situational awareness, 3-4 June 2019, Oxford, UK. Piscataway: IEEE [online], chapter 6. Available from: https://doi.org/10.1109/CyberSA.2019.8899580

A conversational agent to detect anomalous traffic in consumer IoT networks is presented. The agent accepts two inputs in the form of user speech received by Amazon Alexa enabled devices, and classified IDS logs stored in a DynamoDB Table. Aural anal... Read More about Towards a conversational agent for threat detection in the internet of things..

The effects of measurement error and testing frequency on the fitness-fatigue model applied to resistance training: a simulation approach. (2019)
Journal Article
STEPHENS HEMINGWAY, B.H., BURGESS, K.E., ELYAN, E. and SWINTON, P.A. 2020. The effects of measurement error and testing frequency on the fitness-fatigue model applied to resistance training: a simulation approach. International journal of sports science and coaching [online], 15(1), pages 60-71. Available from: https://doi.org/10.1177/1747954119887721

This study investigated the effects of measurement error and testing frequency on prediction accuracy of the standard fitness-fatigue model. A simulation-based approach was used to systematically assess measurement error and frequency inputs commonly... Read More about The effects of measurement error and testing frequency on the fitness-fatigue model applied to resistance training: a simulation approach..

Design thinking and acceptance requirements for designing gamified software. (2019)
Conference Proceeding
PIRAS, L., DELLAGIACOMA, D., PERINI, A., SUSI, A., GIORGINI, P. and MYLOPOULOS, J. 2019. Design thinking and acceptance requirements for designing gamified software. In Kolp, M., Vanderdonckt, J., Snoeck, M. and Wautelet, Y. (eds.) Proceedings of 13th Institute of Electrical and Electronics Engineers (IEEE) Research challenges in information science international conference 2019 (RICS 2019): towards a design science for information systems, 29-31 May 2019, Brussels, Belgium. Piscataway: IEEE [online], pages 81-92. Available from: https://doi.org/10/1109/RCIS.2019.8876973

Gamification is increasingly applied to engage people in performing tool-supported collaborative tasks. From previous experiences we learned that available gamification guidelines are not sufficient, and more importantly that motivational and accepta... Read More about Design thinking and acceptance requirements for designing gamified software..

Data stream mining: methods and challenges for handling concept drift. (2019)
Journal Article
WARES, S., ISAACS, J. and ELYAN, E. 2019. Data stream mining: methods and challenges for handling concept drift. SN applied sciences [online], 1(11), article ID 1412. Available from: https://doi.org/10.1007/s42452-019-1433-0

Mining and analysing streaming data is crucial for many applications, and this area of research has gained extensive attention over the past decade. However, there are several inherent problems that continue to challenge the hardware and the state-of... Read More about Data stream mining: methods and challenges for handling concept drift..

Door and window detection in 3D point cloud of indoor scenes. (2019)
Journal Article
SHEN, L., LI, G., XIAN, C., JIANG, Y. and XIONG, Y. 2019. Door and window detection in 3D point cloud of indoor scenes. Jisuanji fuzhu sheji yu tuxingxue xuebao/Journal of computer-aided design and computer graphics [online], 31(9), pages 1494-1501. Available from: https://doi.org/10.3724/SP.J.1089.2019.17575

This paper proposes a 3D-2D-3D algorithm for doors and windows detection in 3D indoor environment of point cloud data. Firstly, by setting up a virtual camera in the middle of this 3D environment, a set of pictures are taken from different angles by... Read More about Door and window detection in 3D point cloud of indoor scenes..

Flood risk management in sponge cities: the role of integrated simulation and 3D visualization. (2019)
Journal Article
WANG, C., HOU, J., MILLER, D., BROWN, I. and JIANG, Y. 2019. Flood risk management in sponge cities: the role of integrated simulation and 3D visualization. International journal of disaster risk reduction [online], 39, article ID 101139. Available from: https://doi.org/10.1016/j.ijdrr.2019.101139

The Sponge City concept has been promoted as a major programme of work to address increasing flood risk in urban areas, in combination with wider benefits for water resources and urban renewal. However, realization of the concept requires collaborati... Read More about Flood risk management in sponge cities: the role of integrated simulation and 3D visualization..

Development of a flood warning simulation system: a case study of 2007 Tewkesbury flood. (2016)
Journal Article
WANG, C., JIANG, Y., XIE, H., MILLER, D. and BROWN, I. 2016. Development of a flood warning simulation system: a case study of 2007 Tewkesbury flood. In Lang, M., Klijn, F. and Samuels, P. (eds.) E3S web of conferences [online], 7: proceedings of the 3rd European flood risk management conference (FLOODrisk 2016), 17-21 October 2016, Lyon, France, article ID 18021. Available from: https://doi.org/10.1051/e3sconf/20160718021.

Many flood warning systems were developed for 2D environments and limited on specific flood hazard. With the purpose of overcoming these disadvantages, it is necessary to propose new methodologies and techniques for 3D real time flood simulation. In... Read More about Development of a flood warning simulation system: a case study of 2007 Tewkesbury flood..

Visualisation techniques to support public interpretation of future climate change and land-use choices: a case study from N-E Scotland. (2015)
Journal Article
WANG, C., MILLER, D., BROWN, I., JIANG, Y. and CASTELLAZZI, M. 2015. Visualisation techniques to support public interpretation of future climate change and land-use choices: a case study from N-E Scotland. International journal of digital earth [online], 9(6), pages 586-605. Available from: https://doi.org/10.1080/17538947.2015.1111949

Mitigating and adapting to climate change includes a requirement to evaluate the role of future land uses in delivering robust integrated responses that are sensitive to local landscape contexts. In practice, this emphasises the need for community en... Read More about Visualisation techniques to support public interpretation of future climate change and land-use choices: a case study from N-E Scotland..