Publications
Explore our publications to discover how we're addressing some of the most significant research themes in computer science and informatics.
Many of our researchers make their full text freely available to view and share, supporting research innovation on a global scale.
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)
- Al-Kharusi, I. and Walker, D. W. 2019. Locality properties of 3D data orderings with application to parallel molecular dynamics simulations. International Journal of High Performance Computing Applications (10.1177/1094342019846282)
- 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)
- 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)
- Cai, J. et al., 2019. Deep point-based scene labeling with depth mapping and geometric patch feature encoding. Graphical Models
- 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 300fps. 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)
- Gustavson, F. G. and Walker, D. W. 2019. Algorithms for in-place matrix transposition. Concurrency and Computation: Practice and Experience 31 (13) e5071. (10.1002/cpe.5071)
- 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.-.
- Jiang, L. , Zhang, J. and Deng, B. 2019. Robust RGB-D face recognition using attribute-aware loss. IEEE Transactions on Pattern Analysis and Machine Intelligence (10.1109/TPAMI.2019.2919284)
- Kaur, W. et al., 2019. Liking, sharing, commenting and reacting on Facebook: User behaviors' impact on sentiment intensity. Telematics and Informatics 39 , pp.25-36. (10.1016/j.tele.2018.12.005)
- Khan, A. A. et al., 2019. An energy and performance aware consolidation technique for containerized datacenters. IEEE Transactions on Cloud Computing (10.1109/TCC.2019.2920914)
- 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)
- Liang, J. et al., 2019. Simultaneous subspace clustering and cluster number estimating based on triplet relationship. IEEE Transactions on Image Processing (10.1109/TIP.2019.2903294)
- 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, J. et al. 2019. Image-driven unsupervised 3D model co-segmentation. Visual Computer (10.1007/s00371-019-01679-6)
- 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)
- Min-Allah, N. et al., 2019. Cost efficient resource allocation for real-time tasks in embedded systems. Sustainable Cities and Society 48 , pp.101523. (10.1016/j.scs.2019.101523)
- 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 interaction. Computers in Human Behavior 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
- 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 99 , pp.247-259.
- 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 100 , pp.70-85. (10.1016/j.future.2019.04.010)
- Stefanic, P. et al. 2019. Application-infrastructure co-programming: managing the entire complex application lifecycle. Presented at: 10th International Workshop on Science Gateways 2018 Edinburgh, Scotland 13-15 June 2018. CEUR Workshop Proceedings. , 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 38 (2), pp.291-303. (10.1111/cgf.13638)
- 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, J. et al., 2019. Subspace clustering via good neighbors. IEEE Transactions on Pattern Analysis and Machine Intelligence (10.1109/TPAMI.2019.2913863)
- Yang, J. et al., 2019. Self-paced balance learning for clinical skin disease recognition. IEEE Transactions on Neural Networks and Learning Systems
- 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, S. et al., 2019. HeteroFusion: Dense scene reconstruction integrating multi-sensors. IEEE Transactions on Visualization and Computer Graphics , pp.-.
- 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)
- Zunic, J. and Rosin, P. L. 2019. Measuring shapes with desired convex polygons. IEEE Transactions on Pattern Analysis and Machine Intelligence (10.1109/TPAMI.2019.2898830)
All of our publications can be browsed in Cardiff University's institutional repository.
