All Outputs (1100)

A convolutional Siamese network for developing similarity knowledge in the SelfBACK dataset. (2017)
Conference Proceeding
MARTIN, K., WIRATUNGA, N., SANI, S., MASSIE, S. and CLOS, J. 2017. A convolutional Siamese network for developing similarity knowledge in the SelfBACK dataset. In Sanchez-Ruiz, A.A. and Kofod-Petersen, A. (eds.) Workshop proceedings of the 25th International conference on case-based reasoning (ICCBR 2017), 26-29 June 2017, Trondheim, Norway. CEUR workshop proceedings, 2028. Aachen: CEUR-WS [online], session 2: case-based reasoning and deep learning workshop (CBRDL-2017), pages 85-94. Available from: https://ceur-ws.org/Vol-2028/paper8.pdf

The Siamese Neural Network (SNN) is a neural network architecture capable of learning similarity knowledge between cases in a case base by receiving pairs of cases and analysing the differences between their features to map them to a multi-dimensiona... Read More about A convolutional Siamese network for developing similarity knowledge in the SelfBACK dataset..

Learning deep features for kNN-based human activity recognition. (2017)
Conference Proceeding
SANI, S., WIRATUNGA, N. and MASSIE, S. 2017. Learning deep features for kNN-based human activity recognition. In Sanchez-Ruiz, A.A. and Kofod-Petersen, A. (eds.) Workshop proceedings of the 25th International conference on case-based reasoning (ICCBR 2017), 26-29 June 2017, Trondheim, Norway. CEUR workshop proceedings, 2028. Aachen: CEUR-WS [online], session 2: case-based reasoning and deep learning workshop (CBRDL-2017), pages 95-103. Available from: http://ceur-ws.org/Vol-2028/paper9.pdf

A CBR approach to Human Activity Recognition (HAR) uses the kNN algorithm to classify sensor data into different activity classes. Different feature representation approaches have been proposed for sensor data for the purpose of HAR. These include sh... Read More about Learning deep features for kNN-based human activity recognition..

kNN sampling for personalised human recognition. (2017)
Conference Proceeding
SANI, S., WIRATUNGA, N., MASSIE, S. and COOPER, K. 2017. kNN sampling for personalised human recognition. In Aha, D.W. and Lieber, J. (eds.) Case-based reasoning research and development: proceedings of the 25th International case-based reasoning conference (ICCBR 2017), 26-28 June 2017, Trondheim, Norway. Lecture notes in computer science, 10339. Cham: Springer [online], pages 330-344. Available from: https://doi.org/10.1007/978-3-319-61030-6_23

The need to adhere to recommended physical activity guidelines for a variety of chronic disorders calls for high precision Human Activity Recognition (HAR) systems. In the SelfBACK system, HAR is used to monitor activity types and intensities to enab... Read More about kNN sampling for personalised human recognition..

Debating technology for dialogical argument: sensemaking, engagement, and analytics. (2017)
Journal Article
LAWRENCE, J., SNAITH, M., KONAT, B., BUDZYNSKA, K. and REED. C. 2017. Debating technology for dialogical argument: sensemaking, engagement, and analytics. ACM transactions on internet technology [online], 17(3), article 24. Available from: https://doi.org/10.1145/3007210

Debating technologies, a newly emerging strand of research into computational technologies to support human debating, offer a powerful way of providing naturalistic, dialogue-based interaction with complex information spaces. The full potential of de... Read More about Debating technology for dialogical argument: sensemaking, engagement, and analytics..

Gravitation-based edge detection in hyperspectral images (2017)
Journal Article
SUN, G., ZHANG, A., REN, J., MA, J., WANG, P., ZHANG, Y. and JIA, X. 2017. Gravitation-based edge detection in hyperspectral images. Remote sensing [online], 9(6), article 592. Available from: https://doi.org/10.3390/rs9060592

Edge detection is one of the key issues in the field of computer vision and remote sensing image analysis. Although many different edge-detection methods have been proposed for gray-scale, color, and multispectral images, they still face difficulties... Read More about Gravitation-based edge detection in hyperspectral images.

Estimation of distribution algorithms for the multi-mode resource constrained project scheduling problem. (2017)
Conference Proceeding
AYODELE, M., MCCALL, J. and REGNIER-COUDERT, O. 2017. Estimation of distribution algorithms for the multi-mode resource constrained project scheduling problem. In Proceedings of the 2017 IEEE congress on evolutionary computation (CEC 2017), 5-8 June 2017, San Sebastian, Spain. New York: IEEE [online], article number 7969491, pages 1579-1586. Available from: https://doi.org/10.1109/CEC.2017.7969491

Multi-Mode Resource Constrained Project Problem (MRCPSP) is a multi-component problem which combines two interacting sub-problems; activity scheduling and mode assignment. Multi-component problems have been of research interest to the evolutionary co... Read More about Estimation of distribution algorithms for the multi-mode resource constrained project scheduling problem..

A random key based estimation of distribution algorithm for the permutation flowshop scheduling problem. (2017)
Conference Proceeding
AYODELE, M., MCCALL, J., REGNIER-COUDERT, O. and BOWIE, L. 2017. A random key based estimation of distribution algorithm for the permutation flowshop scheduling problem. In Proceedings of the 2017 IEEE congress on evolutionary computation (CEC 2017), 5-8 June 2017, San Sebastian, Spain. New York: IEEE [online], article number 7969591, pages 2364-2371. Available from: https://doi.org/10.1109/CEC.2017.7969591

Random Key (RK) is an alternative representation for permutation problems that enables application of techniques generally used for continuous optimisation. Although the benefit of RKs to permutation optimisation has been shown, its use within Estima... Read More about A random key based estimation of distribution algorithm for the permutation flowshop scheduling problem..

A framework for unsupervised change detection in activity recognition. (2017)
Journal Article
BASHIR, S.A., PETROVSKI, A. and DOOLAN, D. 2017. A framework for unsupervised change detection in activity recognition. International journal of pervasive computing and communications [online], 13(2), pages 157-175. Available from: https://doi.org/10.1108/IJPCC-03-2017-0027

Purpose - This purpose of this paper is to develop a change detection technique for activity recognition model. The approach aims to detect changes in the initial accuracy of the model after training and when the model is deployed for recognizing new... Read More about A framework for unsupervised change detection in activity recognition..

Architecting the deployment of cloud-hosted services for guaranteeing multitenancy isolation. (2017)
Thesis
OCHEI, L.C. 2017. Architecting the deployment of cloud-hosted services for guaranteeing multitenancy isolation. Robert Gordon University, PhD thesis.

In recent years, software tools used for Global Software Development (GSD) processes (e.g., continuous integration, version control and bug tracking) are increasingly being deployed in the cloud to serve multiple users. Multitenancy is an important a... Read More about Architecting the deployment of cloud-hosted services for guaranteeing multitenancy isolation..

Neural induction of a lexicon for fast and interpretable stance classification. (2017)
Conference Proceeding
CLOS, J. and WIRATUNGA, N. 2017. Neural induction of a lexicon for fast and interpretable stance classification. In Gracia, J., Bond, F., McCrae, J.P., Buitelaar, P., Chiarcos, C. and Hellmann, S. (eds.) Language, data and knowledge: proceedings of the 1st International conference on language, data and knowledge (LDK 2017), 19-20 June 2017, Galway, Ireland. Lecture notes in computer science, 10318. Cham: Springer [online], pages 181-193. Available from: https://doi.org/10.1007/978-3-319-59888-8_16

Large-scale social media classification faces the following two challenges: algorithms can be hard to adapt to Web-scale data, and the predictions that they provide are difficult for humans to understand. Those two challenges are solved at the cost o... Read More about Neural induction of a lexicon for fast and interpretable stance classification..

Pacman's canon in C#: a quantum interpretation of video game canon. (2017)
Journal Article
HERON, M. 2017. Pacman's canon in C#: a quantum interpretation of video game canon. Computer games journal [online], 6(3), pages 135-151. Available from: https://doi.org/10.1007/s40869-017-0036-5

The topic of what constitutes canon with a video game is an under-explored topic in critical discussion. We rely, as a field, on largely intuitive and insubstantial parameters for the elements that we choose to analyse. This paper outlines the role o... Read More about Pacman's canon in C#: a quantum interpretation of video game canon..

Stokes coordinates. (2017)
Conference Proceeding
SAVOYE, Y. 2017. Stokes coordinates. In Spencer, S.N. (ed.) Proceedings of the 33rd Spring conference on computer graphics (SCCG'17), 15-17 May 2017, Mikulov, Czech Republic. New York: ACM [online], article number 5. Available from: https://doi.org/10.1145/3154353.3154354

Cage-based structures are reduced subspace deformers enabling non-isometric stretching deformations induced by clothing or muscle bulging. In this paper, we reformulate the cage-based rigging as an incompressible Stokes problem in the vorticity space... Read More about Stokes coordinates..

Deep reward shaping from demonstrations. (2017)
Conference Proceeding
HUSSEIN, A., ELYAN, E., GABER, M.M. and JAYNE, C. 2017. Deep reward shaping from demonstrations. In Proceedings of the 2017 International joint conference on neural networks (IJCNN 2017), 14-19 May 2017, Anchorage, USA. Piscataway: IEEE [online], article number 7965896, pages 510-517. Available from: https://doi.org/10.1109/IJCNN.2017.7965896

Deep reinforcement learning is rapidly gaining attention due to recent successes in a variety of problems. The combination of deep learning and reinforcement learning allows for a generic learning process that does not consider specific knowledge of... Read More about Deep reward shaping from demonstrations..

An edit distance between graph correspondences. (2017)
Conference Proceeding
MORENO-GARCIA, C.F., SERRATOSA, F. and JIANG, X. 2017. An edit distance between graph correspondences. In Foggia, P., Liu, C.-L. and Vento, M (eds.) 2017. Graph-based representations in pattern recognition: proceedings of the 11th Image analysis in patter recognition technical committee 15th (IAPR-TC-15) international workshop (GbRPR 2017), 16-18 May 2017, Anacapri, Italy. Cham: Springer [online], pages 232-241. Available from: https://doi.org/10.1007/978-3-319-58961-9_21

The Hamming Distance has been largely used to calculate the dissimilarity of a pair of correspondences (also known as labellings or matchings) between two structures (i.e. sets of points, strings or graphs). Although it has the advantage of being sim... Read More about An edit distance between graph correspondences..

Streaming and 3D mapping of AGRI-data on mobile devices. (2017)
Journal Article
STOJANOVIC, V., FALCONER, R.E., ISAACS, J., BLACKWOOD, D., GILMOUR, D., KIEZEBRINK, D. and WILSON, J. 2017. Streaming and 3D mapping of AGRI-data on mobile devices. Computers and electronics in agriculture [online], 138(1), pages 188-199. Available from: https://doi.org/10.1016/j.compag.2017.03.019

Farm monitoring and operations generate heterogeneous AGRI-data from a variety of different sources that have the potential to be delivered to users 'on the go' and in the field to inform farm decision making. A software framework capable of interfac... Read More about Streaming and 3D mapping of AGRI-data on mobile devices..

Full-duplex small cells for next generation heterogeneous cellular networks: a case study of outage and rate coverage analysis. (2017)
Journal Article
AL-KADRI, M.O., DENG, Y., AIJAZ, A. and NALLANATHAN, A. 2021. Full-duplex small cells for next generation heterogeneous cellular networks: a case study of outage and rate coverage analysis. IEEE access [online], 5, pages 8025-8038. Available from: https://doi.org/10.1109/ACCESS.2017.2684542

Full-duplex (FD) technology is currently under consideration for adoption in a range of legacy communications standards due to its attractive features. On the other hand, cellular networks are becoming increasingly heterogeneous as operators deploy a... Read More about Full-duplex small cells for next generation heterogeneous cellular networks: a case study of outage and rate coverage analysis..

IT governance measurement tools and its application in IT-business alignment. (2017)
Journal Article
NICHO, M. and KHAN, S. 2017. IT governance measurement tools and its application in IT-business alignment. Journal of international technology and information management [online], 26(1), Article 5. Available from: http://scholarworks.lib.csusb.edu/jitim/vol26/iss1/5

The purpose of this exploratory research paper is to evaluate the deployment and assessment methodology of the information technology governance (ITG) measurement tools, with the purpose of gaining deeper insight into the ITG initiation process, the... Read More about IT governance measurement tools and its application in IT-business alignment..

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..

Predicting emotional reaction in social networks. (2017)
Conference Proceeding
CLOS, J., BANDHAKAVI, A., WIRATUNGA, N. and CABANAC, G. 2017. Predicting emotional reaction in social networks. In Jose, J.M., Hauff, C., Altingovde, I.S., Song, D., Albakour, D., Watt, S. and Tait, J. (eds.) Advances in information retrieval: proceedings of the 39th European conference on information retrieval (ECIR 2017), 8-13 April 2017, Aberdeen, UK. Lecture notes in computer science, 10193. Cham: Springer [online], pages 527-533. Available from: https://doi.org/10.1007/978-3-319-56608-5_44

Online content has shifted from static and document-oriented to dynamic and discussion-oriented, leading users to spend an increasing amount of time navigating online discussions in order to participate in their social network. Recent work on emotion... Read More about Predicting emotional reaction in social networks..

Multi-source video multicast in internet-connected wireless mesh networks. (2017)
Journal Article
TU, W., SREENAN, C.J., JHA, S. and ZHANG, Q. 2017. Multi-source video multicast in internet-connected wireless mesh networks. IEEE transactions on mobile computing [online], 16(12), pages 3431-3444. Available from: https://doi.org/10.1109/TMC.2017.2691706

Wireless mesh networks (WMNs) connect to the Internet via access gateways. This paper studies multi-source video multicast in Internet-connected WMNs. The focus is on the design of a shareable integrated multicast that allows the multicasts of video... Read More about Multi-source video multicast in internet-connected wireless mesh networks..