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

Abdelmoty, A. and Alrayes, F. 2017. Towards understanding location privacy awareness on geo-social networks. ISPRS International Journal of Geo-Information 6 (4), pp.109. (10.3390/ijgi6040109)
Abdulmunem, A. , Lai, Y. and Sun, X. 2017. 3D GLOH features for human action recognition. Presented at: International Conference on Pattern Recognition Cancun, Mexico 4-8 December 2016. Pattern Recognition (ICPR), 2016 23rd International Conference on. IEEE. (10.1109/ICPR.2016.7899734)
Alsaedi, N. 2017. Event identification in social media using classification-clustering framework. PhD Thesis , Cardiff University.
Alsaedi, N. , Burnap, P. and Rana, O. 2017. Can we predict a riot? Disruptive event detection using Twitter. ACM Transactions on Internet Technology 17 (2) 18. (10.1145/2996183)
Anthi, E. and Theodorakopoulos, G. 2017. Sensitive data in Smartphone Applications: Where does it go? Can it be intercepted?. Technical Report.
Awad, E. et al., 2017. Experimental assessment of aggregation principles in argumentation-enabled collective intelligence. ACM Transactions on Internet Technology 17 (3) 29. (10.1145/3053371)
Awad, E. et al., 2017. Judgement aggregation in multi-agent argumentation. Journal of Logic and Computation 27 (1), pp.227-259. (10.1093/logcom/exv055)
Awad, E. et al., 2017. Pareto optimality and strategy-proofness in group argument evaluation.. Journal of Logic and Computation (10.1093/logcom/exx017)
Benferhat, S. et al., 2017. Prioritized assertional-based removed sets revision of DL-Lite belief bases. Annals of Mathematics and Artificial Intelligence 79 (1), pp.45-75. (10.1007/s10472-015-9494-2)
Bittencourt, L. F. et al., 2017. Mobility-aware application scheduling in fog computing. IEEE Cloud Computing 4 (2), pp.26-35. (10.1109/MCC.2017.27)
Bo, L. , Lai, Y. and Rosin, P. L. 2017. Example-based image colorization via automatic feature selection and fusion. Neurocomputing (10.1016/j.neucom.2017.05.083)
Bo, L. et al., 2017. Online low-rank representation learning for joint multi-subspace recovery and clustering. IEEE Transactions on Image Processing
Bouraoui, Z. , Jameel, S. and Schockaert, S. 2017. Inductive reasoning in ontologies using conceptual spaces. Presented at: 31st AAAI Conference on Artificial Intelligence San Francisco, CA, USA 4-9 February 2017.
Braines, D. et al. 2017. Human-in-the-loop situational understanding via subjective Bayesian networks. Presented at: The 5th International Workshop on Graph Structures for Knowledge Representation and Reasoning (GKR 2017) Melbourne, Australia 19-25 August 2017.
Brown, B. M. et al. 2017. Gap localization of TE-Modes by arbitrarily weak defects. Journal of the London Mathematical Society 95 (3), pp.942-962. (10.1112/jlms.12046)
Burnap, P. et al. 2017. Determining and sharing risk data in distributed interdependent systems. IEEE Computer 50 (4), pp.72-79. (10.1109/MC.2017.108)
Burnap, P. et al. 2017. Multi-class machine classification of suicide-related communication on Twitter. Online Social Networks and Media 2 , pp.32-44. (10.1016/j.osnem.2017.08.001)
Burnap, P. and Williams, M. L. 2017. Classifying and modeling cyber hate speech: research and opportunities for practical intervention. Presented at: 1st International Conference on Cyber Deviance Detection (CyberDD) in conjunction with 10th ACM International Conference on Web Search and Data Mining (WSDM 2017) Cambridge, UK 10 Feb 2017.
Caminada, M. 2017. Argumentation semantics as formal discussion. In: Gabbay, D. et al., Handbook of Formal Argumentation, Volume 1. College Publications.
Caminada, M. 2017. Rationality postulates: applying argumentation theory for non-monotonic reasoning. In: Gabbay, D. et al., Handbook of Formal Argumentation, Volume 1. College Publications.
Carpanini, O. and Cerutti, F. 2017. Towards an ontology of trust for situational understanding. Presented at: 17th UK Workshop on Computational Intelligence (UKCI-2017) Cardiff, UK 6-8 September 2017.
Caruana, G. et al., 2017. gSched: a resource aware Hadoop scheduler for heterogeneous cloud computing environments. Concurrency and Computation: Practice and Experience 29 (20) e3841. (10.1002/cpe.3841)
Cerutti, F. , Vallati, M. and Giacomin, M. 2017. An efficient java-based solver for abstract argumentation frameworks: jArgSemSAT. International Journal on Artificial Intelligence Tools 26 (2) 1750002. (10.1142/S0218213017500026)
Chakraborty, S. et al., 2017. Deep learning for situational understanding. Presented at: IEEE International Conference on Information Fusion Xi'an, China 10-13 July 2017. Information Fusion (Fusion), 2017 20th International Conference on. IEEE. (10.23919/ICIF.2017.8009785)
Chakraborty, S. et al., 2017. Interpretability of deep learning models: a survey of results. Presented at: IEEE Smart World Congress 2017 Workshop: DAIS 2017 - Workshop on Distributed Analytics InfraStructure and Algorithms for Multi-Organization Federations San Francisco, CA, USA 7-8 August 2017.
Chard, K. et al., 2017. A social content delivery network for e-science. Concurrency and Computation: Practice and Experience 29 (4) e3854. (10.1002/cpe.3854)
Chen, S. et al., 2017. Rigidity controllable as-rigid-as-possible shape deformations. Graphical Models 91 , pp.13-21. (10.1016/j.gmod.2017.02.005)
Chen, Y. , Lai, Y. and Liu, ,. 2017. Transforming photos to comics using convolutional neural networks. Presented at: IEEE International Conference on Image Processing (ICIP) Beijing, China 17-20 Sep 2017.
Cheng, M. et al., 2017. Intelligent visual media processing: when graphics meets vision. Journal of Computer Science and Technology 32 (1), pp.110-121. (10.1007/s11390-017-1681-7)
Choo, K. R. , Rana, O. and Rajarajan, M. 2017. Cloud security engineering: theory, practice and future research. IEEE Transactions on Cloud Computing 5 (3), pp.372-374. (10.1109/TCC.2016.2582278)
Chun, Y. J. et al., 2017. Device-to-device communications: a performance analysis in the context of social comparison based relaying. IEEE Transactions on Wireless Communications , pp.1. (10.1109/TWC.2017.2751470)
Colombo, G. et al. 2017. Evolution of cooperation in device-to-device communication. Presented at: COCOA – COmpetitive and COoperative Approaches for 5G networks Dresden, Germany 17 May-2017. Proceedings of European Wireless 2017.
Corcoran, P. and Jones, C. B. 2017. Modelling topological features of swarm behaviour in space and time with persistence landscapes. IEEE Access 5 (1), pp.18534-18544. (10.1109/ACCESS.2017.2749319)
Dai, X. , Spasic, I. and Andres, F. 2017. A framework for automated rating of online reviews against the underlying topics. Presented at: ACM Southeast Conference Kennesaw State University, Georgia, USA 13-15 April 2017. ACM SE '17 Proceedings of the SouthEast Conference. New York: ACM, pp.164-167. (10.1145/3077286.3077291)
De Clercq, S. et al., 2017. Exact and heuristic methods for solving Boolean games. Autonomous Agents and Multi-Agent Systems 31 (1), pp.66-106. (10.1007/s10458-015-9313-5)
De Ribaupierre, H. and Falquet, G. 2017. Extracting discourse elements and annotating scientific documents using the SciAnnotDoc model: a use case in gender documents. International Journal on Digital Libraries (10.1007/s00799-017-0227-5)
Dubois, D. , Prade, H. and Schockaert, S. 2017. Generalized possibilistic logic: foundations and applications to qualitative reasoning about uncertainty. Artificial Intelligence
Gagarin, A. and Corcoran, P. 2017. k-Domination models for placement of electric vehicle charging stations in road networks. Presented at: 8th International Conference on Computational Logistics Southampton, United Kingdom 18-20 October 2017.
Guo, D. et al., 2017. Global alignment of deformable objects captured by a single RGB-D camera. Presented at: IEEE International Conference on Multimedia and Expo Hong Kong, China 10-14 July 2017.
Huang, H. et al., 2017. Practical automatic background substitution for live video. Computational Visual Media 3 (3), pp.273-284. (10.1007/s41095-016-0074-0)
Jameel, S. , Bouraoui, Z. and Schockaert, S. 2017. MEmbER: Max-Margin Based Embeddings for Entity Retrieval. Presented at: 40th International ACM SIGIR Conference on Research and Development in Information Retrieval Tokyo, Japan 7-11 August 2017. (10.1145/3077136.3080803)
Jameel, S. and Schockaert, S. 2017. Modeling context words as regions: an ordinal regression approach to word embedding. Presented at: SIGNLL Conference on Computational Natural Language Learning Vancouver, Canada 3-4 August 2017.
Jeawak, S. , Jones, C. B. and Schockaert, S. 2017. Using Flickr for characterizing the environment: an exploratory analysis. Presented at: 13th International Conference on Spatial Information Theory (COSIT) L’Aquila, Italy 4-8 September 2017. 13th International Conference on Spatial Information Theory (COSIT 2017). Leibniz International Proceedings in Informatics, pp.21:1-21:13. (10.4230/LIPIcs.COSIT.2017.21)
Jha, S. et al., 2017. Introducing distributed dynamic data-intensive (D3) science: Understanding applications and infrastructure. Concurrency and Computation: Practice and Experience 29 (8) e4032. (10.1002/cpe.4032)
Jilani, M. , Corcoran, P. and Bertolotto, M. 2017. Geographic Information Systems: crowd-sourced spatial data. In: Wiley Encyclopedia of Electrical and Electronics Engineering. Wiley, pp.1-10. (10.1002/047134608X.W8347)
Jonckheere, E. A. , Schirmer, S. G. and Langbein, F. C. 2017. Structured singular value analysis for spintronics network information transfer control. IEEE Transactions on Automatic Control (10.1109/TAC.2017.2714623)
Khayeat, A. , Rosin, P. L. and Sun, X. 2017. Copy-move forgery detection using the segment gradient orientation histogram. Presented at: Scandinavian Conference on Image Analysis Tromsø, Norway 12-14,June 2017. SCIA 2017: Image Analysis. Vol. 1.Lecture Notes in Computer Science Vol. 10269. Cham: Springer, pp.209-220. (10.1007/978-3-319-59126-1_18)
Kissling, W. D. et al., 2017. Building essential biodiversity variables (EBVs) of species distribution and abundance at a global scale.. Biological Reviews of the Cambridge Philosophical Society (10.1111/brv.12359)
Kuzelka, O. , Davis, J. and Schockaert, S. 2017. Induction of interpretable possibilistic logic theories from relational data. Presented at: International Joint Conference on Artificial Intelligence (IJCAI) Melbourne, Australia 19-26 August 2017.
Kuzelka, O. , Davis, J. and Schockaert, S. 2017. Learning possibilistic logic theories from default rules (abridged version). Presented at: IJCAI-17: Workshop on Logical Foundations for Uncertainty and Machine Learning Melbourne, Australia 19-25 August 2017.
Leveque, L. et al. 2017. Study of video quality assessment for telesurgery. IEEE Access (10.1109/ACCESS.2017.2704285)
Leveque, L. et al. 2017. The impact of specialty settings on the perceived quality of medical ultrasound video. IEEE Access (10.1109/ACCESS.2017.2743264)
Li, B. et al., 2017. Example-based image colorization using locality consistent sparse representation. IEEE Transactions on Image Processing , pp.516-525.
Li, K. et al., 2017. 3-D motion recovery via low rank matrix restoration on articulation graphs. Presented at: IEEE International Conference on Multimedia and Expo (ICME) Hong Kong, China 10-14 July 2017.
Liu, B. , Martin, R. R. and Hu, S. 2017. Static scene illumination estimation from video with applications. Journal of Computer Science and Technology 32 (3), pp.430-442. (10.1007/s11390-017-1734-y)
Liu, H. and Cocea, M. 2017. Semi-random partitioning of data into training and test sets in granular computing context. Granular Computing (10.1007/s41066-017-0049-2)
Liu, S. et al., 2017. Visual diagnosis of tree boosting methods. IEEE Transactions on Visualization and Computer Graphics , pp.1. (10.1109/TVCG.2017.2744378)
Liu, X. et al., 2017. Depth-aware neural style transfer. Presented at: NPAR Non-Photorealistic Animation and Rendering Los Angeles, CA, USA 29-30 July 2017. Published in: Spencer, S. N. ed. NPAR '17 Proceedings of the Symposium on Non-Photorealistic Animation and Rendering. Association for Computing Machinery, pp.4. (10.1145/3092919.3092924)
Lloyd, K. et al. 2017. Detecting violent and abnormal crowd activity using temporal analysis of grey level co-occurrence matrix (GLCM)-based texture measures. Machine Vision and Applications 28 (3), pp.361-371. (10.1007/s00138-017-0830-x)
Mamais, S. and Theodorakopoulos, G. 2017. Private and secure distribution of targeted advertisements to mobile phones. Future Internet 9 (2) 16. (10.3390/fi9020016)
Marmaras, C. et al. 2017. Predicting the energy demand of buildings during triad peaks in GB. Energy and Buildings 141 , pp.262-273. (10.1016/j.enbuild.2017.02.046)
Marmaras, C. et al. 2017. A cloud-based energy management system for building managers. Presented at: 8th ACM/SPEC on International Conference on Performance Engineering Companion L'Aquila, Italy 22-26 April 2017. ICPE '17: Companion Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion. Association for Computing Machinery, pp.61-66. (10.1145/3053600.3053613)
Martin, P. et al., 2017. Computational challenges in global environmental research infrastructures. In: Chabbi, A. and Loescher, H. W. eds. Terrestrial Ecosystem Research Infrastructures: Challenges and Opportunities. Boca Raton, FL. USA: CRC Press, Taylor & Francis Group, pp.305-340. (10.1201/9781315368252)
Merhej, E. , Schockaert, S. and De Cock, M. 2017. Repairing inconsistent answer set programs using rules of thumb: a gene regulatory networks case study. International Journal of Approximate Reasoning 83 , pp.243-264. (10.1016/j.ijar.2017.01.012)
Mohamed, S. 2017. Spatiotemporal user and place modelling on the geo-social web. PhD Thesis , Cardiff University.
Mohamed, S. and Abdelmoty, A. 2017. Spatio-semantic user profiles in location-based social networks. International Journal of Data Science and Analytics (10.1007/s41060-017-0059-9)
Mould, D. and Rosin, P. L. 2017. Developing and applying a benchmark for evaluating image stylization. Computers and Graphics 67 , pp.58-76. (10.1016/j.cag.2017.05.025)
Nawaf, L. 2017. Optimizing infrastructure placement in Wireless Mesh Networks. PhD Thesis , Cardiff University.
Nawaf, L. , Allen, S. M. and Rana, O. F. 2017. Internet transit access point placement and bandwidth allocation in wireless mesh networks. Presented at: 2017 IEEE 7th Annual Computing and Communication Workshop and Conference (CCWC) Las Vegas, NV, USA 9 - 11 January 2017. , pp.1. (10.1109/CCWC.2017.7868436)
Neale, S. et al. 2017. The CorCenCC crowdsourcing app: a bespoke tool for the user-driven creation of the national corpus of contemporary Welsh. Presented at: The 9th International Corpus Linguistics Conference Birmingham, UK 24-28 July 2017.
Noe, B. et al. 2017. Timing rather than user traits mediates mood sampling on smartphones. BMC Research Notes 10 481. (10.1186/s13104-017-2808-1)
Nottle, A. et al., 2017. Distributed opportunistic sensing and fusion for traffic congestion detection. Presented at: IEEE Smart World Congress 2017 Workshop: DAIS 2017 - Workshop on Distributed Analytics InfraStructure and Algorithms for Multi-Organization Federations San Francisco, CA, USA 7-8 August 2017.
O'Connell, J. F. 2017. A dynamic programming model to solve optimisation problems using GPUs. PhD Thesis , Cardiff University.
O'Leary, N. et al., 2017. Conversational homes. Presented at: The Ninth International Conference on Advanced Cognitive Technologies and Applications Athens, Greece 19 - 23 February 2017. ThinkMind: COGNITIVE 2017. The 9th International Conference on Advanced Cognitive Technologies and Applications.
O'Neil, S. et al., 2017. Sensitivity and robustness of quantum spin-1/2 rings to parameter uncertainty. Presented at: IEEE 56th Annual Conference on Decision and Control (CDC) 2017 Melbourne, Australia 12-15 December 2017. IEEE 56th Annual Conference on Decision and Control (CDC) 2017.
Petri, I. et al., 2017. Modelling and implementing social community clouds. IEEE Transactions on Services Computing 10 (3), pp.410-422. (10.1109/TSC.2015.2470258)
Petri, I. et al. 2017. Performance analysis of multi-institutional data sharing in the Clouds4Coordination system. Computers & Electrical Engineering 58 , pp.227-240. (10.1016/j.compeleceng.2017.02.015)
Preece, A. et al. 2017. SHERLOCK: Experimental evaluation of a conversational agent for mobile information tasks. IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS (10.1109/THMS.2017.2700625)
Preece, A. D. and Braines, D. S. 2017. Conversational services for multi-agency situational understanding. Presented at: AAAI 2017 Fall Symposium: Cognitive Assistance in Government and Public Sector Applications Washington, D.C., USA 9-11 November 2017.
Preece, A. D. et al. 2017. Cognitive computing for coalition situational understanding. Presented at: IEEE Smart World Congress 2017 Workshop: DAIS 2017 - Workshop on Distributed Analytics InfraStructure and Algorithms for Multi-Organization Federations San Francisco, CA, USA 7-8 August 2017.
Preece, A. D. et al. 2017. Coalitions of things: supporting ISR tasks via Internet of Things approaches. Presented at: Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR VIII Anaheim, USA 10 - 13 April 2017. Proc. SPIE 10190, Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR VIII. Vol. 10190.SPIE, pp.101900A. (10.1117/12.2266460)
Rahimi, N. et al., 2017. CAD Model simplification error estimation for electrostatics problems. Siam Journal on Scientific Computing
Roberts, C. et al. 2017. After Woolwich: analyzing open source communications to understand the interactive and multi-polar dynamics of the arc of conflict. British Journal of Criminology (10.1093/bjc/azx024)
Rosin, P. L. et al. 2017. Benchmarking non-photorealistic rendering of portraits. Presented at: NPAR Non-Photorealistic Animation and Rendering Los Angeles, CA, USA 29-30 July 2017. Published in: Spencer, S. N. ed. NPAR '17 Proceedings of the Symposium on Non-Photorealistic Animation and Rendering. Association for Computing Machinery, pp.11. (10.1145/3092919.3092921)
Schirmer, S. G. , Jonckheere, E. and Langbein, F. 2017. Design of feedback control laws for information transfer in spintronics networks. IEEE Transactions on Automatic Control
Shao, J. and Beckford, J. 2017. Learning decision trees from anonymized data. Presented at: 8th Annual International Conf on ICT: Big Data, Cloud and Security Singapore 21-22 August 2017.
Shao, J. and Ong, H. 2017. Exploiting contextual information in attacking set-generalized transactions. ACM Transactions on Internet Technology
Shi, B. et al., 2017. Jointly learning word embeddings and latent topics. Presented at: 40th International ACM SIGIR Conference on Research and Development in Information Retrieval Tokyo, Japan 7-11 August 2017. (10.1145/3077136.3080806)
Sourek, G. et al., 2017. Learning predictive categories using lifted relational neural networks. Lecture Notes in Computer Science 10326 , pp.108-119. (10.1007/978-3-319-63342-8_9)
Sourek, G. et al., 2017. Stacked structure learning for lifted relational neural networks. Presented at: International Conference on Inductive Logic Programming Orléans, France 4- 6 September 2017.
Svatos, M. et al., 2017. Pruning hypothesis spaces using learned domain theories. Presented at: International Conference on Inductive Logic Programming Orléans, France 4-6 September 2017.
Tennant, M. et al., 2017. Scalable real-time classification of data streams with concept drift. Future Generation Computer Systems 75 , pp.187-199. (10.1016/j.future.2017.03.026)
Theodorakopoulos, G. 2017. An open framework for flexible plug-in privacy mechanisms in crowdsensing applications. Presented at: 2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Kona, HI, USA 13-17 March 2017. Pervasive Computing and Communications Workshops (PerCom Workshops), 2017 IEEE International Conference on. IEEE, pp.237-242. (10.1109/PERCOMW.2017.7917564)
Thomas, L. et al. 2017. Automation of the supplier role in the GB power system using blockchain based smart contracts. Presented at: CIRED 2017 - International Conference on Electricity Distribution Glasgow, UK 12-15 June 2017. , pp.1-5.
Thorpe, B. et al., 2017. Spin recovery in the 25nm gate length InGaAs field effect transistore. Presented at: International Workshop on Computational Nanotechnology Windermere, UK 6-9 June 2017. Proc. International Workshop on Computational Nanotechnology. , pp.168-169.
Tolosana-Calasanz, R. et al., 2017. Feedback-control & queuing theory-based resource management for streaming applications. IEEE Transactions on Parallel and Distributed Systems 28 (4), pp.1061-1075. (10.1109/TPDS.2016.2603510)
Turner, L. et al. 2017. Parameterising the dynamics of inter-group conflict from real world data. Presented at: DAIS 2017 - Workshop on Distributed Analytics InfraStructure and Algorithms for Multi-Organization Federations San Francisco, CA, USA 4-8 August 2017. IEEE.
Turner, L. D. 2017. Decomposing responses to mobile notifications. PhD Thesis , Cardiff University.
Turner, L. D. , Allen, S. M. and Whitaker, R. M. 2017. Reachable but not receptive: enhancing smartphone interruptibility prediction by modelling the extent of user engagement with notifications. Pervasive and Mobile Computing 40 , pp.480-484. (10.1016/j.pmcj.2017.01.011)
Vallati, M. , Cerutti, F. and Giacomin, M. 2017. On the combination of argumentation solvers into parallel portfolios. Presented at: AI’17: The 30th Australasian Joint Conference on Artificial Intelligence Melbourne, Australia 19-20 August 2017.
Verma, D. et al., 2017. A blockchain based architecture for asset management in coalition operations. Presented at: Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR VIII Anaheim, USA 10 - 13 April 2017. Proc. SPIE 10190, Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR VIII. Vol. 10190.SPIE, pp.101900Y. (10.1117/12.2264911)
Walker, D. 2017. Morton ordering of 2D arrays for efficient access to hierarchical memory. International Journal of High Performance Computing Applications (10.1177/1094342017725568)
Wan, L. et al., 2017. Scribble-based gradient mesh recoloring. Multimedia Tools and Applications (10.1007/s11042-017-4987-0)
Wang, T. et al., 2017. Encoding bamboo’s nature for freeform structure design. International Journal of Architectural Computing 15 (2), pp.169-182. (10.1177/1478077117714943)
Whitaker, R. M. 2017. A generative model for predicting terrorist incidents. Presented at: SPIE Defense + Security Symposium: Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR VIII Anaheim, California United States. 9 - 13 April 2017. SPIE.
Whitaker, R. M. et al. 2017. From evolution to revolution: understanding mutability in large and disruptive human groups. Presented at: SPIE Defense + Security Symposium: Next-Generation Analyst V Anaheim, California, United States. 9 - 13 April 2017. Proc. SPIE 10207, Next-Generation Analyst V. Vol. 10207.SPIE, pp.1020703. (10.1117/12.2267996)
Whitaker, R. M. , Turner, L. and Colombo, G. 2017. Intra-group tension under inter-group conflict: a generative model using group social norms and identity. Presented at: 8th International Conference on Applied Human Factors and Ergonomics Los Angeles, CA, USA 17-21 July 2017.
Williams, M. and Burnap, P. 2017. Online extremism and hate speech: definition, measurement & regulation. Presented at: Internet Leadership Academy Oxford Internet Institute, University of Oxford, UK 26 September 2017.
Williams, M. L. and Burnap, P. 2017. Data science solutions for detecting and monitoring Brexit related online hate speech. Presented at: UK Government Data Science Community Interest Workshop ONS Data Science Campus, Newport, Wales, UK 4 September 2017.
Williams, M. L. and Burnap, P. 2017. Social data science & criminology: machine classification and modelling of cyberhate in online social networks. Presented at: Cambridge Institute of Criminology Seminar Series University of Cambridge, UK 9 February 2017.
Xia, S. et al., 2017. A survey on human performance capture and animation. Journal of Computer Science and Technology 32 (3), pp.536-554. (10.1007/s11390-017-1742-y)
Yan, B. et al., 2017. Superlensing microscope objective lens. Applied Optics 56 (11), pp.3142-3147. (10.1364/AO.56.003142)
Yang, C. , Yong-Jin, L. and Lai, Y. 2017. Learning to rank retargeted images. Presented at: IEEE Conference on Computer Vision and Pattern Recognition Honolulu, Hawaii, USA 21-26 July 2017.
Yaseen, M. U. et al., 2017. Cloud-based scalable object detection and classification in video streams. Future Generation Computer Systems (10.1016/j.future.2017.02.003)
Zamani, A. R. et al., 2017. Deadline constrained video analysis via in-transit computational environments. IEEE Transactions on Services Computing (10.1109/TSC.2017.2653116)
Zamani, A. R. et al., 2017. A computational model to support in-network data analysis in federated ecosystems. Future Generation Computer Systems (10.1016/j.future.2017.05.032)
Zaroukian, E. et al., 2017. Automation bias with a conversational interface: user confirmation of misparsed information. Presented at: IEEE Conference on Cognitive and Computational Aspects of Situation Management Savannah, GA, USA 27-31 March 2017. Cognitive and Computational Aspects of Situation Management (CogSIMA), 2017 IEEE Conference on. IEEE. (10.1109/COGSIMA.2017.7929605)
Zhang, W. 2017. Visual saliency in image quality assessment. PhD Thesis , Cardiff University.
Zhang, W. and Liu, H. 2017. Learning picture quality from visual distraction: psychophysical studies and computational models. Neurocomputing 247 , pp.183-191. (10.1016/j.neucom.2017.03.054)
Zhang, W. and Liu, H. 2017. Study of saliency in objective video quality assessment. IEEE Transactions on Image Processing 26 (3), pp.1275-1288. (10.1109/TIP.2017.2651410)
Zhang, W. and Liu, H. 2017. Towards a reliable collection of eye-tracking data for image quality research: challenges, solutions and applications. IEEE Transactions on Image Processing 26 (5), pp.2424-2437. (10.1109/TIP.2017.2681424)
Zhang, W. , Martin, R. R. and Liu, H. 2017. A saliency dispersion measure for improving saliency-based image quality metrics. IEEE Transactions on Circuits and Systems for Video Technology (10.1109/TCSVT.2017.2650910)
Zhu, Z. et al., 2017. An optimization approach for localization refinement of candidate traffic signs. IEEE Transactions on Intelligent Transportation Systems (10.1109/TITS.2017.2665647)