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

Abbas, H. et al. 2018. A 3D morphometric perspective for facial gender analysis and classification using geodesic path curvature features. Computational Visual Media 4 (1), pp.17-32. (10.1007/s41095-017-0097-1)
Abbott, B. et al., 2018. Search for Tensor, Vector, and Scalar Polarizations in the Stochastic Gravitational-Wave Background. Physical Review Letters 120 (20) 201102. (10.1103/PhysRevLett.120.201102)
Abdelmoty, A. 2018. Towards modelling privacy risks in geo-social networks. Presented at: The Tenth International Conference on Advanced Geographic Information Systems, Applications, and Services Rome 25 - 29 March 2018. The Tenth International Conference on Advanced Geographic Information Systems, Applications, and Services.
Ali, M. et al., 2018. Edge enhanced deep learning system for large-scale video stream analytics. Presented at: 2018 IEEE 2nd International Conference on Fog and Edge Computing (ICFEC) Washington DC, USA 1-3 May 2018. Fog and Edge Computing (ICFEC), 2018 IEEE 2nd International Conference on. IEEE(10.1109/CFEC.2018.8358733)
Alrehamy, H. and Walker, C. 2018. SemLinker: automating big data integration for casual users. Journal of Big Data 5 (1) 14. (10.1186/s40537-018-0123-x)
Braines, D. et al., 2018. The role of motifs in understanding behavior in social and engineered networks. Presented at: Next Generation Analyst IV at SPIE DSS Orlando, Florida 15-19 Apr 2018.
Brinckman, A. et al., 2018. Computing environments for reproducibility: Capturing the ‘‘Whole Tale’’. Future Generation Computer Systems (10.1016/j.future.2017.12.029)
Brinckman, A. et al., 2018. Collaborative circuit designs using the CRAFT repository. Future Generation Computer Systems (10.1016/j.future.2018.01.018)
Burnap, P. et al. 2018. Malware classification using self organising feature maps and machine activity data. Computers and Security 73 , pp.399-410. (10.1016/j.cose.2017.11.016)
Caminada, M. and Schulz, C. 2018. On the equivalence between assumption-based argumentation and logic programming (extended abstract). Presented at: IJCAI-ECAI-18 Stockholm 13-19 July 2018.
Cerutti, F. et al. 2018. Learning and reasoning in complex coalition information environments: a critical analysis. Presented at: Fusion 2018: 21st International Conference on Information Fusion Cambridge, UK 10-13 July 2018.
Cerutti, F. et al. 2018. Foundations of implementations for formal argumentation. IfCoLog Journal of Logics and their Applications 4 (8)
Cerutti, F. , Vallati, M. and Giacomin, M. 2018. On the impact of configuration on abstract argumentation automated reasoning. International Journal of Approximate Reasoning 92 , pp.120-138. (10.1016/j.ijar.2017.10.002)
Chen, Y. , Lai, Y. and Liu, Y. 2018. CartoonGAN: generative adversarial networks for photo cartoonization. Presented at: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Lake Salt City, USA 18-22 Jun 2018.
Corcoran, P. and Jones, C. 2018. Stability and statistical inferences in the space of topological spatial relationships. IEEE Access (10.1109/ACCESS.2018.2817493)
De Clercq, S. et al., 2018. Modelling incomplete information in Boolean games using possibilistic logic. International Journal of Approximate Reasoning 93 , pp.1-23. (10.1016/j.ijar.2017.10.017)
De Ribaupierre, H. et al. 2018. Towards gender equality in software engineering: the NSA approach. Presented at: GE’18:IEEE/ACM 1st International Workshop on Gender Equality in Software Engineering Gothenburg, Sweden 28 May 2018. GE’18: GE’18:IEEE/ACM 1st International Workshop on Gender Equality in Software Engineering. New York: ACM(10.1145/3195570.3195579)
Gagarin, A. and Corcoran, P. 2018. Multiple domination models for placement of electric vehicle charging stations in road networks. Computers & Operations Research (10.1016/j.cor.2018.03.014)
Gutierrez Basulto, V. , Jung, J. C. and Sabellek, L. 2018. Reverse engineering queries in ontology-enriched systems: the case of expressive horn description logic ontologies. Presented at: IJCAI-ECAI 2018 Stockholm, Sweden 13-19 July 2018.
Han, Y. et al., 2018. CFD: a collaborative feature difference method for spontaneous micro-expression spotting. Presented at: IEEE International Conference on Image Processing Athens, Greece 7-10 October 2018. IEEE Xplore.
Hannah, C. , Spasic, I. and Corcoran, P. 2018. Modelling pedestrian safety with respect to road traffic crashes by estimating the safety of paths. Presented at: GIScience Research UK Conference Leicester, England 18-20 April 2018.
Harborne, D. et al. 2018. Integrating learning and reasoning services for explainable information fusion. Presented at: ICPRAI 2018 - International Conference on Pattern Recognition and Artificial Intelligence Montreal, Canada 14-17 May 2018.
Innes, M. et al. 2018. Of instruments and data: Social media uses, abuses and analysis. In: The SAGE Handbook of Online Research Methods. Sage. , pp.108-124.
Javed, A. , Burnap, P. and Rana, O. F. 2018. Prediction of drive-by download attacks on Twitter. Information Processing and Management (10.1016/j.ipm.2018.02.003)
Javed, A. et al. 2018. Scalable local energy management systems. Energy Procedia 142 , pp.3069. (10.1016/j.egypro.2017.12.446)
Jiang, L. et al., 2018. 3D face reconstruction with geometry details from a single image. IEEE Transactions on Image Processing , pp.1. (10.1109/TIP.2018.2845697)
Jonckheere, E. , Schirmer, S. and Langbein, F. 2018. Jonckheere-Terpstra test for nonclassical error versus log-sensitivity relationship of quantum spin network controllers. International Journal of Robust and Nonlinear Control
Jufeng, Y. et al., 2018. Weakly supervised coupled networks for visual sentiment analysis. Presented at: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Lake Salt City, USA 18-22 Jun 2018.
Kissling, W. D. et al., 2018. Building essential biodiversity variables (EBVs) of species distribution and abundance at a global scale.. Biological Reviews of the Cambridge Philosophical Society 93 (1), pp.600-625. (10.1111/brv.12359)
Knight, L. et al. 2018. Towards a methodology for creating time-critical, cloud-based CUDA applications. Presented at: IT4RIs 18: Interoperable infrastructures for interdisciplinary big data sciences- Time critical applications and infrastructure optimization Amsterdam, The Netherlands 18 January 2018. (10.5281/zenodo.1162877)
Krumhuber, E. G. et al. 2018. When facial expressions do and do not signal minds: the role of face inversion, expression dynamism, and emotion type. Emotion
Lakoju, M. and Serrano, A. 2018. Saving costs with a big data strategy framework. Presented at: IEEE International Conference on Big Data Boston, MA 11-14 Dec 2017. 2017 IEEE International Conference on Big Data. IEEE. , pp.2340. (10.1109/BigData.2017.8258188)
Langenfeld, F. et al., 2018. SHREC 2018 - Protein Shape Retrieval. Presented at: EG workshop 3D Object Retrieval Delft, the Netherlands 16 April 2018.
Li, K. et al., 2018. Robust non-rigid registration with reweighted position and transformation sparsity. IEEE Transactions on Visualization and Computer Graphics
Liang, Y. et al., 2018. Knowledge graph construction with structure and parameter learning for indoor scene design. Computational Visual Media (10.1007/s41095-018-0110-3)
Liu, C. et al., 2018. Robust virtual unrolling of historical parchment XMT images. IEEE Transactions on Image Processing 27 (4), pp.1914-1926. (10.1109/TIP.2017.2783626)
Liu, H. and Cocea, M. 2018. Fuzzy rule based systems for gender classification from blog data. Presented at: 2018 International Conference on Advanced Computational Intelligence Xiamen, China 29-31 March 2018.
Liu, H. and Cocea, M. 2018. Granular computing based approach of rule learning for binary classification. Granular Computing (10.1007/s41066-018-0097-2)
Liu, H. and Cocea, M. 2018. Granular computing based machine learning: a big data processing approach. Studies in Big Data Heidelberg: Springer International Publishing. (10.1007/978-3-319-70058-8)
Liu, H. and Cocea, M. 2018. Induction of classification rules by Gini-Index based rule generation. Information Sciences INS_INS-D-17-2182.
Liu, H. , Cocea, M. and Ding, W. 2018. J-measure based pruning for advancing classification performance of information entropy based rule generation. Presented at: International Conference on Machine Learning and Cybernetics Chengdu, China 15-18 July 2018.
Liu, H. and Zhang, L. 2018. Fuzzy rule-based systems for recognition-intensive classification in granular computing context. Granular Computing (10.1007/s41066-018-0076-7)
Liu, H. and Zhao, H. 2018. Multi-task feature selection for advancing performance of image segmentation. Presented at: International Conference on Machine Learning and Cybernetics Chengdu, China 15-18 July 2018.
Luo, J. et al., 2018. Piecewise linear regression-based single image super-resolution via Hadamard transform. Information Sciences (10.1016/j.ins.2018.06.030)
Mastio, M. et al., 2018. Distributed agent-based traffic simulations. IEEE Intelligent Transportation Systems Magazine 10 (1), pp.145-156. (10.1109/MITS.2017.2776162)
McDermott Rees, Y. and Cerutti, F. 2018. Proposed Amicus Curiae observations for the Karadžić Judgment. United Nations Mechanism for International Criminal Tribunals
Medel, V. et al., 2018. Characterising resource management performance in Kubernetes. Computers and Electrical Engineering 68 , pp.286-297. (10.1016/j.compeleceng.2018.03.041)
Mushthofa, M. , Schockaert, S. and De Cock, M. 2018. Fuzzy answer set programming: from theory to practice. In: Kosheleva, O. et al., Beyond Traditional Probabilistic Data Processing Techniques: Interval, Fuzzy, etc. Methods and Their Applications. Springer
Mushthofa, M. et al., 2018. Modeling multi-valued biological interaction networks using Fuzzy Answer Set Programming. Fuzzy Sets and Systems (10.1016/j.fss.2018.01.003)
Peng, Y. et al., 2018. Anderson acceleration for geometry optimization and physics simulation. ACM Transactions on Graphics 37 (4) 42. (10.1145/3197517.3201290)
Pickup, D. et al., 2018. An evaluation of canonical forms for non-rigid 3D shape retrieval. Graphical Models 97 , pp.17-29. (10.1016/j.gmod.2018.02.002)
Preece, A. et al. 2018. Sentinel: a co-designed platform for semantic enrichment of social media streams. IEEE Transactions on Computational Social Systems 5 (1), pp.118-131. (10.1109/TCSS.2017.2763684)
Preece, A. D. 2018. Asking 'why' in AI: Explainability of intelligent systems - perspectives and challenges. Intelligent Systems in Accounting, Finance and Management (10.1002/isaf.1422)
Prizeman, O. E. C. et al. 2018. How can century-old architectural hierarchies of access to and provision of public libraries be re-interpreted and re-used?. Journal of Cultural Heritage Management and Sustainable Development (10.1108/JCHMSD-08-2017-0051)
Purves, R. S. et al., 2018. Geographic information retrieval: progress and challenges in spatial search of text. Foundations and Trends in Information Retrieval 12 (2-3), pp.164-318. (10.1561/1500000034)
Rafferty, J. et al., 2018. On average, a professional rugby union player is more likely than not to sustain a concussion after 25 matches. British Journal of Sports Medicine (10.1136/bjsports-2017-098417)
Rahimi, N. et al., 2018. CAD Model simplification error estimation for electrostatics problems. Siam Journal on Scientific Computing 40 (1), pp.B196-B227. (10.1137/16M1078641)
Ranjan, R. et al., 2018. The next grand challenges: integrating the internet of things and data science. IEEE Cloud Computing 5 (3), pp.12-26. (10.1109/MCC.2018.032591612)
Rhode, M. , Burnap, P. and Jones, K. 2018. Early-Stage malware prediction using recurrent neural networks. Computers and Security
Slade, J. 2018. Automatic semantic and geometric enrichment of CityGML 3D building models of varying architectural styles with HOG-based template matching. PhD Thesis , Cardiff University.
Sourek, G. et al., 2018. Lifted relational neural networks: Efficient learning of latent relational structures. Journal of Artificial Intelligence Research
Spasic, I. 2018. Acronyms as an integral part of multi–word term recognition - A token of appreciation. IEEE Access
Spasic, I. et al. 2018. Head to head: Semantic similarity of multi-word terms. Access, IEEE
Spasic, I. et al. 2018. Closing in on open-ended patient questionnaires with text mining. Presented at: UK Healthcare Text Analytics Conference (HealTAC) Manchester, UK 18-19 April 2018.
Taherizadeh, S. et al., 2018. Monitoring self-adaptive applications within edge computing frameworks: A state-of-the-art review. Journal of Systems and Software 136 , pp.19-38. (10.1016/j.jss.2017.10.033)
Taherkhani, A. et al., 2018. A supervised learning algorithm for learning precise timing of multiple spikes in multilayer spiking neural networks. IEEE Transactions on Neural Networks and Learning Systems (10.1109/TNNLS.2018.2797801)
Tan, Q. et al., 2018. Variational autoencoders for deforming 3D mesh models. Presented at: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Lake Salt City, USA 18-22 Jun 2018.
Walker, D. 2018. Morton ordering of 2D arrays for efficient access to hierarchical memory. International Journal of High Performance Computing Applications 32 (1), pp.189-203. (10.1177/1094342017725568)
Wang, X. , Veeravalli, B. and Rana, O. F. 2018. An optimal task-scheduling strategy for large-scale astronomical workloads using in-transit computation model. International Journal of Computational Intelligence Systems 11 (1), pp.600-607. (10.2991/ijcis.11.1.45)
Williams, M. L. et al. 2018. Under the corporate radar: Examining insider business cybercrime victimization through an application of routine activities theory. Deviant Behavior (10.1080/01639625.2018.1461786)
Wu, Q. et al., 2018. Alive caricature from 2D to 3D. Presented at: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Lake Salt City, USA 18-22 Jun 2018.
Yang, J. et al. 2018. Biharmonic deformation transfer with automatic key point selection. Graphical Models
Yang, J. et al., 2018. Visual sentiment prediction based on automatic discovery of affective regions. IEEE Transactions on Multimedia
Yaseen, M. U. et al., 2018. Deep learning hyper-parameter optimization for video analytics in clouds. IEEE Transactions on Systems Man and Cybernetics: Systems (10.1109/TSMC.2018.2840341)
Yaseen, M. U. et al., 2018. Cloud-based scalable object detection and classification in video streams. Future Generation Computer Systems 80 , pp.286-298. (10.1016/j.future.2017.02.003)
Yi, R. , Liu, Y. and Lai, Y. 2018. Content-sensitive Supervoxels via uniform tessellations on video manifolds. Presented at: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Lake Salt City, USA 18-22 June 2018.
Yi, R. , Yong-Jin, L. and Lai, Y. 2018. Evaluation on the compactness of supervoxels. Presented at: IEEE International Conference on Image Processing Athens, Greece 7-10 October 2018. IEEE Xplore.
Zamani, A. R. et al., 2018. A computational model to support in-network data analysis in federated ecosystems. Future Generation Computer Systems 80 , pp.342-354. (10.1016/j.future.2017.05.032)
Zhang, F. et al., 2018. Detecting and removing visual distractors for video aesthetic enhancement. IEEE Transactions on Multimedia (10.1109/TMM.2018.2790163)
Zhang, J. et al., 2018. Static/dynamic filtering for mesh geometry. IEEE Transactions on Visualization and Computer Graphics (10.1109/TVCG.2018.2816926)
Zhu, Z. et al., 2018. A comparative study of algorithms for realtime panoramic video blending. IEEE Transactions on Image Processing (99)(10.1109/TIP.2018.2808766)