Publications

Explore our publications to discover how we're addressing some of the most significant research themes in computer science and informatics.

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Recent publications

Ahmed, L. , Mumford, C. and Kheiri, A. 2019. Solving urban transit route design problem using selection hyper-heuristics. European Journal of Operational Research 247 (2), pp.545-559. (10.1016/j.ejor.2018.10.022)
Alberti, G. et al., 2019. Essential spectrum for Maxwell's equations. Annales Henri Poincaré 20 (5), pp.1471-1499. (10.1007/s00023-019-00762-x)
Alorainy, W. et al. 2019. ‘The enemy among us’: Detecting cyber hate speech with threats-based othering language embeddings. ACM Transactions on the Web
Alqazzaz, S. et al., 2019. Automated brain tumor segmentation on multi-modal MR image using SegNet. Computational Visual Media (10.1007/s41095-019-0139-y)
Alsufyani, A. et al., 2019. Breakthrough percepts of famous faces. Psycophysiology 56 (1) e13279. (10.1111/psyp.13279)
Alturki, B. et al., 2019. Exploring the effectiveness of service decomposition in fog computing architecture for the Internet of Things. IEEE Transactions on Sustainable Computing , pp.-. (10.1109/TSUSC.2019.2907405)
Ashford, J. et al. 2019. Understanding the signature of controversial Wikipedia articles through motifs in editor revision networks. Presented at: The Web Conference 2019 San Francisco, CA, USA 13-17 May 2019.
Auluck, N. et al., 2019. Scheduling real time security aware tasks in fog networks. IEEE Transactions on Services Computing , pp.-. (10.1109/TSC.2019.2914649)
Barclay, I. et al. 2019. A conceptual architecture for contractual data sharing in a decentralised environment. Presented at: SPIE Defense + Commercial Sensing, 2019 Baltimore, MD, United States 15-17 April 2018. Published in: Pham, T. ed. Proceedings Volume 11006, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications;. SPIE. , pp.110060G. (10.1117/12.2518644)
Bouraoui, Z. and Schockaert, S. 2019. Automated rule base completion as Bayesian concept induction. Presented at: AAAI-2019: 33rd AAAI Conference on Artificial Intelligence Honololu, HI, USA 27 January - 1 February 2019.
Brinckman, A. et al., 2019. Computing environments for reproducibility: Capturing the "Whole Tale". Future Generation Computer Systems 94 , pp.854-867. (10.1016/j.future.2017.12.029)
Brinckman, A. et al., 2019. Collaborative circuit designs using the CRAFT repository. Future Generation Computer Systems 94 , pp.841-853. (10.1016/j.future.2018.01.018)
Brown, B. M. , Langer, H. and Tretter, C. 2019. Compressed resolvents and reduction of spectral problems on star graphs. Complex Analysis and Operator Theory 13 (1), pp.291-320. (10.1007/s11785-018-0793-6)
Cerutti, F. and Thimm, M. 2019. A general approach to reasoning with probabilities. International Journal of Approximate Reasoning 111 , pp.35-50. (10.1016/j.ijar.2019.05.003)
Cheng, M. et al., 2019. BING: Binarized normed gradients for objectness estimation at 300 frames per second. Computational Visual Media 5 (1), pp.3-20. (10.1007/s41095-018-0120-1)
Chiroma, F. , Cocea, M. and Liu, H. 2019. Evaluation of rule-based learning and feature selection approaches for classification. Presented at: ICCSW18: 2018 Imperial College Computing Student Workshop London, UK 20-21 Sep 2018. Proceedings of ICCSW 2018. Schloss Dagstuhl - Leibniz-Zentrum für Informatik
Crossley, S. G. M. et al., 2019. Perceptions of visualising physical activity as a 3D-printed object: A formative study (Preprint). JMIR: Journal of Medical Internet Research 21 (1) e12064. (10.2196/12064)
Crossley, S. G. M. et al., 2019. The tangibility of personalised 3D printed feedback may enhance youth's physical activity awareness, goal-setting and motivation. JMIR mHealth and uHealth (10.2196/12067)
Dillen, M. et al., 2019. A benchmark dataset of herbarium specimen images with label data. Biodiversity Data Journal 7 e31817. (10.3897/BDJ.7.e31817)
Dyke, R. et al. 2019. Non-rigid registration under anisotropic deformations. Computer Aided Geometric Design 71 , pp.142-156. (10.1016/j.cagd.2019.04.014)
Dyke, R. et al. 2019. SHREC-19: Shape correspondence with isometric and non-isometric deformations. Presented at: Eurographics Workshop on 3D Object Retrieval Genova, Italy 5-6 May 2019.
Evans, J. E. et al., 2019. Dilute magnetic contact for a spin GaN HEMT. Presented at: Semiconductor and Integrated OptoElectronics Conference (SIOE) Conference Cardiff, UK 16-18 April 2019. Semiconductor and Integrated OptoElectronics Conference (SIOE) Conference. , pp.-.
Evans, M. , Harborne, D. and Smith, A. 2019. Developing an objective indicator of fatigue: An alternative mobile version of the psychomotor vigilance task (m-PVT). In: Longo, L. and Leva, M. eds. Human Mental Workload: Models and Applications. H-WORKLOAD 2018.. Vol. 1012, Communications in Computer and Information Science Switzerland: Springer. , pp.49-71. (10.1007/978-3-030-14273-5_4)
Gartner, D. , Zhang, Y. and Padman, R. 2019. Reducing clinical workload in the care prescription process: Optimization of order sets. IMA Journal of Management Mathematics 30 (3), pp.305-321. (10.1093/imaman/dpy018)
Gu, K. et al., 2019. Multiscale natural scene statistical analysis for no-reference quality evaluation of DIBR-synthesized views. IEEE Transactions on Broadcasting (10.1109/TBC.2019.2906768)
Hardisty, A. et al. 2019. Research infrastructure challenges in preparing essential biodiversity variables data products for alien invasive species. Environmental Research Letters 14 25005. (10.1088/1748-9326/aaf5db)
Hardisty, A. et al. 2019. The Bari Manifesto: an interoperability framework for essential biodiversity variables. Ecological Informatics 49 , pp.22-31. (10.1016/j.ecoinf.2018.11.003)
Hu, B. et al., 2019. Pairwise-comparison-based rank learning for benchmarking image restoration algorithms. IEEE Transactions on Multimedia , pp.1. (10.1109/TMM.2019.2894958)
Jameel, S. et al. 2019. Word embedding as maximum a posteriori estimation. Presented at: AAAI-19: 33rd AAAI Conference on Artificial Intelligence Honolulu, HI, USA 27 January - 1 February 2019. , pp.-.
Javed, A. , Burnap, P. and Rana, O. F. 2019. Prediction of drive-by download attacks on Twitter. Information Processing and Management 56 (3), pp.1133-1145. (10.1016/j.ipm.2018.02.003)
Jeawak, S. , Jones, C. and Schockaert, S. 2019. Embedding geographic locations for modelling the natural environment using Flickr tags and structured data. Presented at: ECIR 2019: 41st European Conference on Information Retrieval Cologne, Germany 14-18 April 2019. , pp.-.
Jenkins, C. et al. 2019. Quantification of edited magnetic resonance spectroscopy: a comparative phantom based study of analysis methods. Presented at: ISMRM 27th Annual Meeting & Exhibition Montréal, QC, Canada 11-16 May 2019. , pp.-.
Leveque, L. 2019. Analysing and quantifying visual experience in medical imaging. PhD Thesis , Cardiff Uuniversity.
Leveque, L. , Zhang, W. and Liu, H. 2019. International comparison of radiologists' assessment of the perceptual quality of medical ultrasound video. Presented at: 11th International Conference on Quality of Multimedia Experience (QoMEX 2019) Berlin, Germany 5-7 June 2019. Proceedings of 2019 Eleventh International Conference on Quality of Multimedia Experience (QoMEX). IEEE
Leveque, L. , Zhang, W. and Liu, H. 2019. Subjective assessment of image quality induced saliency variation. Presented at: The 26th IEEE International Conference on Image Processing (ICIP) Taipei, Taiwan 22-25 September 2019.
Li, B. et al., 2019. Automatic example-based image colourisation using location-aware cross-scale matching. IEEE Transactions on Image Processing (10.1109/TIP.2019.2912291)
Liu, C. et al., 2019. Multi-scale residual hierarchical dense networks for single image super-resolution. IEEE Access (10.1109/ACCESS.2019.2915943)
Liu, F. et al., 2019. SketchGAN: Joint sketch completion and recognition with generative adversarial network. Presented at: CVPR Long Beach, California, USA 16-20 June 2019.
Liu, H. et al. 2019. A fuzzy approach to text speech classification with two stage training for ambiguous instances. IEEE Transactions on Computational Social Systems 6 (2), pp.227-240. (10.1109/TCSS.2019.2892037)
Liu, H. et al. 2019. Fuzzy multi-task learning for hate speech type identification. Presented at: The Web Conference 2019 San Francisco, CA, USA 13-17 May 2019. WWW '19 The World Wide Web Conference. ACM. , pp.3006-3012. (10.1145/3308558.3313546)
Liu, H. and Chen, S. 2019. Multi-stage mixed rule learning approach for advancing performance of rule-based classification. Information Sciences 495 , pp.65-77. (10.1016/j.ins.2019.05.008)
Liu, H. , Chen, S. and Cocea, M. 2019. Heuristic target class selection for advancing performance of coverage-based rule learning. Information Sciences 479 , pp.164-179. INS14101. (10.1016/j.ins.2018.12.001)
Liu, H. , Chen, S. and Cocea, M. 2019. Subclass-based semi-random data partitioning for improving sample representativeness. Information Sciences 478 , pp.208-221. (10.1016/j.ins.2018.11.002)
Liu, H. and Cocea, M. 2019. Granular computing based approach of rule learning for binary classification. Granular Computing 4 (2), pp.275-283. (10.1007/s41066-018-0097-2)
Liu, H. and Zhang, L. 2019. Advancing ensemble learning performance through data transformation and classifiers fusion in granular computing context. Expert Systems with Applications 131 , pp.20-29. (10.1016/j.eswa.2019.04.051)
Liu, H. and Leveque, L. 2019. An eye-tracking database of video advertising. Presented at: 26th IEEE International Conference on Image Processing (ICIP) Taipei, Taiwan 22-25 September 2019.
Liu, Y. et al., 2019. A new learning approach to malware classification using discriminative feature extraction. IEEE Access 7 , pp.13015-13023. (10.1109/ACCESS.2019.2892500)
Longo, F. , Puliafito, A. and Rana, O. 2019. Guest Editors' Introduction to the Special Issue on Fog, Edge, and Cloud Integration for Smart Environments. ACM Transactions on Internet Technology 19 (2) 17. (10.1145/3319404)
Nesmachnow, S. et al., 2019. Traffic lights synchronization for Bus Rapid Transit using a parallel evolutionary algorithm. International Journal of Transportation Science and Technology 8 (1), pp.53-67. (10.1016/j.ijtst.2018.10.002)
Noe, B. et al. 2019. Identifying indicators of smartphone addiction through user-App unteraction. Computers in Human Behehavior 99 , pp.56-65. (10.1016/j.chb.2019.04.023)
Ouro, P. et al. 2019. Scalability of an Eulerian-Lagrangian large-eddy simulation solver with hybrid MPI/OpenMP parallelisation. Computers and Fluids 179 , pp.123-136. (10.1016/j.compfluid.2018.10.013)
Perera, C. et al. 2019. Designing privacy-aware Internet of Things applications. Information Sciences
Perera, C. et al. 2019. Designing Sensing as a Service (S2aaS) ecosystem for Internet of Things: Recommendations and best practices. IEEE Internet of Things
Pérez-Almendros, C. , Espinosa-Anke, L. and Schockaert, S. 2019. Cardiff University at SemEval-2019 Task 4: Linguistic features for hyperpartisan news detection. Presented at: SemEval-2019: International Workshop on Semantic Evaluation Minneapolis, MN, USA 6-7 June 2019.
Puliafito, C. et al., 2019. Fog computing for the internet of things: a survey. ACM Transactions on Internet Technology 19 (2) 18. (10.1145/3301443)
Rehman, M. et al., 2019. The role of big data analytics in industrial Internet of Things. Future Generation Computer Systems
Rodríguez, R. J. , Tolosana-Calasanz, R. and Rana, O. F. 2019. A dynamic data-throttling approach to minimize workflow imbalance. ACM Transactions on Internet Technology 19 (3) 32. (10.1145/3278720)
Safa, N. S. et al., 2019. Deterrence and prevention-based model to mitigate information security insider threats in organisations. Future Generation Computer Systems 97 , pp.587-597. (10.1016/j.future.2019.03.024)
Scourfield, J. et al. 2019. Are youth suicide memorial sites on Facebook different from those for other sudden deaths?. Death Studies (10.1080/07481187.2019.1614109)
Sheil, H. 2019. Discovering user intent In E-commerce clickstreams. PhD Thesis , Cardiff University.
Simpkin, C. et al. 2019. Constructing distributed time-critical applications using cognitive enabled services. Future Generation Computer Systems , pp.-.
Stefanic, P. et al. 2019. SWITCH workbench: A novel approach for the development and deployment of time-critical microservice-based cloud-native applications. Future Generation Computer Systems 99 , pp.197-212. (10.1016/j.future.2019.04.008)
Tang, K. et al., 2019. Computational design of steady 3D dissection puzzles. Computer Graphics Forum
Tao, J. , Deng, B. and Zhang, J. 2019. A fast numerical solver for local barycentric coordinates. Computer Aided Geometric Design 70 , pp.46-58. (10.1016/j.cagd.2019.04.006)
Tayeh, G. et al., 2019. A spatial-temporal correlation approach for data reduction in cluster-based sensor networks. IEEE Access 7 , pp.50669-50680. (10.1109/ACCESS.2019.2910886)
Thorpe, B. et al., 2019. Temperature affected non-equilibrium spin transport in nanoscale In0.3Ga0.7As transistors. Presented at: 20th International Workshop on Computational Nanotechnology (IWCN) Evanston, IL, USA 20-24 May 2019.
Thorpe, B. et al., 2019. Temperature affected non-equilibrium spin transport in nanoscale In0.3Ga0.7As transistors. Presented at: 20th International Workshop on Computational Nanotechnology (IWCN) Evanston, IL, USA 20-24 May 2019.
Turner, L. et al. 2019. Evidence to support common application switching behaviour on smartphones. Royal Society Open Science 6 (3) 190018. (10.1098/rsos.190018)
Vallati, M. , Cerutti, F. and Giacomin, M. 2019. Predictive models and abstract argumentation: the case of high-complexity semantics. Knowledge Engineering Review 34 e6. (10.1017/S0269888918000036)
Walker, D. W. et al. 2019. Accelerating magnetic induction tomography-based imaging through heterogeneous parallel computing. Concurrency and Computation: Practice and Experience e5265. (10.1002/cpe.5265)
Wang, T. et al., 2019. Consistent segment-wise matching with multi-layer graphs. Computer Aided Geometric Design 70 , pp.31-45. (10.1016/j.cagd.2019.04.003)
Wang, X. et al., 2019. Shape recognition through multi-level fusion of features and classifiers. Granular Computing , pp.-. (10.1007/s41066-019-00164-8)
Williams, L. et al. 2019. Comparing the utility of different classification schemes for emotive language analysis. Journal of Classification (10.1007/s00357-019-9307-0)
Wu, X. et al., 2019. IP102: A large-scale benchmark dataset for insect pest recognition. Presented at: CVPR 2019 Long Beach, CA, USA 16-20 June 2019.
Wu, Z. et al., 2019. Global as-conformal-as-possible non-rigid registration of multi-view scans. Presented at: IEEE International Conference on Multimedia and Expo Shanghai, China 8-12 July 2019.
Xia, Z. et al., 2019. Towards accurate quality estimation of screen content pictures with very sparse reference information. IEEE Transactions on Industrial Electronics (10.1109/TIE.2019.2905831)
Yang, J. et al., 2019. Global 3D non-rigid registration of deformable objects using a single RGB-D camera. IEEE Transactions on Image Processing (10.1109/TIP.2019.2909197)
Yang, J. et al., 2019. Spatio-temporal reconstruction for 3D motion recovery. IEEE Transactions on Circuits and Systems for Video Technology (10.1109/TCSVT.2019.2907324)
Yang, S. et al., 2019. Probabilistic projective association and semantic guided relocalization for dense reconstruction. Presented at: IEEE International Conference on Robotics and Automation (ICRA) Montreal, Canada 20-24 May 2019.
Yang, X. , Li, F. and Liu, H. 2019. A comparative study of dnn-based models for blind image quality prediction. Presented at: The 26th IEEE International Conference on Image Processing (ICIP) Taipei, Taiwan 22-25 September 2019.
Yaseen, M. U. et al., 2019. Deep learning hyper-parameter optimization for video analytics in clouds. IEEE Transactions on Systems Man and Cybernetics: Systems 49 (1), pp.253-264. (10.1109/TSMC.2018.2840341)
Yi, R. et al., 2019. APDrawingGAN: Generating artistic portrait drawings from face photos with hierarchical GANs. Presented at: CVPR 2019 Long Beach, California, USA 16-20 June 2019.
Yuan, C. et al., 2019. 3D face representation and reconstruction with multi-scale graph convolutional autoencoders. Presented at: IIEEE International Conference on Multimedia and Expo (ICME) 2019 Shanghai, China 8-12 July 2019. , pp.-.
Yue, G. et al., 2019. No-reference quality evaluator of transparently encrypted images. IEEE Transactions on Multimedia (10.1109/TMM.2019.2913315)
Zhang, J. et al., 2019. Static/dynamic filtering for mesh geometry. IEEE Transactions on Visualization and Computer Graphics 25 (4), pp.1774-1787. (10.1109/TVCG.2018.2816926)
Zhang, S. et al., 2019. Stylistic scene enhancement GAN: Mixed stylistic enhancement generation for 3D indoor scenes. Visual Computer
Zhang, W. et al. 2019. The effect of spatio-temporal inconsistency on the subjective quality evaluation of omnidirectional videos. Presented at: 2019 IEEE International Conference on Acoustics, Speech and Signal Processing Brighton, UK 12-17 May 2019. ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE. , pp.4055-4059. (10.1109/ICASSP.2019.8682221)
Zhang, Y. et al., 2019. Computer-assisted relief modelling: a comprehensive survey. Presented at: Eurographics Conference 2019 STARs Genova, Italy 6-10 May 2019.
Zhang, Y. , Lai, Y. and Zhang, F. 2019. Stereoscopic image stitching with rectangular boundaries. Visual Computer (10.1007/s00371-019-01694-7)
Zhao, H. , Rosin, P. and Lai, Y. 2019. Block compressive sensing for solder joint images with wavelet packet thresholding. IEEE Transactions on Components and Packaging Technologies (10.1109/TCPMT.2019.2907106)
Zhao, H. et al., 2019. Adaptive gradient-based block compressive sensing with sparsity for noisy images. Multimedia Tools and Applications (10.1007/s11042-019-7647-8)
Zhao, H. and Liu, H. 2019. Multiple classifiers fusion and CNN feature extraction for handwritten digits recognition. Granular Computing (10.1007/s41066-019-00158-6)
Zhou, Y. , Schockaert, S. and Shah, J. A. 2019. Predicting ConceptNet path quality using crowdsourced assessments of naturalness. Presented at: The Web Conference 2019 San Francisco, CA, USA 13-17 May 2019.
Zhou, Y. et al., 2019. No-reference quality assessment for contrast-distorted images based on multifaceted statistical representation of structure. Journal of Visual Communication and Image Representation 60 , pp.158-169. (10.1016/j.jvcir.2019.02.028)