School of Computer Science and Informatics

2019 publications

Abbas, H. H. et al. 2019. An automatic approach for classification and categorisation of lip morphological traits. PLoS ONE 14 (10) e0221197. (10.1371/journal.pone.0221197)
Abdal, R. , Qin, Y. and Wonka, P. 2019. Image2StyleGAN: How to embed images into the styleGAN latent space?. Presented at: International Conference on Computer Vision (ICCV) 2019 Seoul, South Korea 27 October 2019 - 3 November 2019. Proceedings of the International Conference on Computer Vision (ICCV) 2019. IEEE. , pp.4431-4440. (\10.1109/ICCV.2019.00453)
Adewole, K. , Saxena, N. and Bhadauria, S. 2019. Application of cryptocurrencies using Blockchain for e-commerce online payment. In: Maleh, Y. et al., Blockchain for Cybersecurity and Privacy: Architectures, Challenges and Applications. C&C Press, Taylor & Francis Group. , pp.263-306.
Ahmed, L. et al. 2019. Optimising bus routes with fixed terminal nodes. Presented at: The Genetic and Evolutionary Computation Conference Prague, Czech Republic 13-17 July 2019. GECCO '19 Proceedings of the Genetic and Evolutionary Computation Conference. ACM. , pp.1102-1110. (10.1145/3321707.3321867)
Ahmed, L. , Mumford, C. and Kheiri, A. 2019. Solving urban transit route design problem using selection hyper-heuristics. European Journal of Operational Research 274 (2), pp.545-559. (10.1016/j.ejor.2018.10.022)
Ahmed, N. et al., Mahmood, Z. ed. 2019. Ambient intelligence in systems to support wellbeing of drivers. Computer Communications and Networks Springer Nature. (10.1007/978-3-030-04173-1_10)
Al Harthi, A. N. 2019. Effective communication of information security risk. PhD Thesis , Cardiff University.
Al Kharusi, I. 2019. Locality data properties of 3D data orderings with application to parallel molecular dynamics simulations. PhD Thesis , Cardiff University.
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 33 (5), pp.998-1018. (10.1177/1094342019846282)
Alberti, G. S. et al., 2019. Essential spectrum for Maxwell's equations. Annales Henri Poincaré 20 , pp.1471-1499. (10.1007/s00023-019-00762-x)
Aldmour, R. , Burnap, P. and Lakoju, M. 2019. Risk assessment methods for converged IoT and SCADA systems: review and recommendations. Presented at: Living in the Internet of Things (IoT 2019) London, UK 1-2 May 2019. Living in the Internet of Things (IoT 2019). IET. , pp.5-10. (10.1049/cp.2019.0130)
Alorainy, W. et al. 2019. 'The enemy among us': detecting cyber hate speech with threats-based othering language embeddings. ACM Transactions on the Web 13 (3) 14. (10.1145/3324997)
Alqazzaz, S. et al., 2019. Automated brain tumor segmentation on multi-modal MR image using SegNet. Computational Visual Media 5 (2), pp.209-219. (10.1007/s41095-019-0139-y)
Alshaikh, R. , Bouraoui, Z. and Schockaert, S. 2019. Learning conceptual spaces with disentangled facets. Presented at: CoNLL 2019: The SIGNLL Conference on Computational Natural Language Learning Hong Kong, China 3-4 November 2019.
Alsufyani, A. et al., 2019. Breakthrough percepts of famous faces. Psychophysiology 56 (1) e13279. (10.1111/psyp.13279)
Alva Manchego, F. et al. 2019. EASSE: Easier Automatic Sentence Simplification Evaluation. Presented at: 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) 3-7 November 2019. Published in: Pado, S. and Huang, R. eds. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): System Demonstrations. Association for Computational Linguistics. , pp.49-54. (10.18653/v1/D19-3009)
Andreşel, M. et al., 2019. Relaxing and restraining queries for OBDA. Presented at: AAAI-2019: 33rd AAAI Conference on Artificial Intelligence Honololu, HI, USA 27 January - 1 February 2019. Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 33.Vol. 1. Palo Alto, California, USA: AAAI. , pp.2654-2661. (10.1609/aaai.v33i01.33012654)
Anthi, E. et al. 2019. A supervised intrusion detection system for smart home IoT devices. IEEE Internet of Things 6 (5), pp.9042-9053. (10.1109/JIOT.2019.2926365)
Araujo, H. L. S. et al., 2019. Trusted autonomous vehicles: an interactive exhibit. Presented at: IEEE International Conferences on Ubiquitous Computing & Communications and Data Science and Computational Intelligence and Smart Computing, Networking and Services Shenyang, China 21-23 Oct 2019. Proceedings 2019 IEEE International Conferences on Ubiquitous Computing & Communications and Data Science and Computational Intelligence and Smart Computing, Networking and Services. IEEE. , pp.386-393. (10.1109/IUCC/DSCI/SmartCNS.2019.00091)
Asghar, K. et al., 2019. Edge-texture feature based image forgery detection with cross dataset evaluation. Machine Vision and Applications 30 (7-8), pp.1243-1262. (10.1007/s00138-019-01048-2)
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.
Awang, W. S. W. et al., 2019. Affinity replica selection in distributed systems. Presented at: PaCT 2019: International Conference on Parallel Computing Technologies Almaty, Kazakhstan 19-23 August 2019. Published in: Malyshkin, V. ed. Parallel Computing Technologies: 15th International Conference, PaCT 2019, Almaty, Kazakhstan, August 19–23, 2019, Proceedings. Vol. 11657.Springer. , pp.385-399. (10.1007/978-3-030-25636-4_30)
Aydin, G. , Bleil De Souza, C. and Cerutti, F. 2019. Assessing the transition from traditional to participatory heritage management In Turkey. Presented at: 2019 AESOP Annual Congress Venice, Italy 9-13 July 2019. AESOP 2019 Conference - Book of Papers. Università Iuav di Venezia. , pp.21-34.
Balakrishnan, V. et al., 2019. A comparative analysis of detection mechanisms for emotion detection. Presented at: International Conference Computer Science and Engineering (IC2SE 2019) Padang, Indonesia 26-27 April 2019. Vol. 1339.IOP Publishing: Conference Series. , pp.012016.
Barati, M. , Petri, I. and Rana, O. F. 2019. Developing GDPR compliant user data policies for internet of things. Presented at: 12th IEEE/ACM International Conference on Utility and Cloud Computing Auckland, New Zealand 2-5 Dec 2019. Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing. New York, USA: ACM. , pp.133-141. (10.1145/3344341.3368812)
Barati, M. et al. 2019. Privacy-aware cloud ecosystems and GDPR compliance. Presented at: 2019 7th International Conference on Future Internet of Things and Cloud (FiCloud) 26-28 August 2019 Istanbul, Turkey. 2019 7th International Conference on Future Internet of Things and Cloud (FiCloud). IEEE. , pp.117. (10.1109/FiCloud.2019.00024)
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)
Barclay, I. et al. 2019. Towards traceability in data ecosystems using a Bill of Materials model. Presented at: International Workshop on Science Gateways Ljubljana, Slovenia 12-14 June 2019. , pp.-.
Beckett, R. and Perera, C. 2019. IoT Skullfort: exploring the impact of internet connected cosplay. Presented at: 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) London, United Kingdom 11-13 September, 2019. Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers. New York, NY, USA: ACM. , pp.5-8. (10.1145/3341162.3343783)
Bedewi, W. et al. 2019. Modelling stereotyping in cooperation systems. Presented at: ICCCI: International Conference on Computational Collective Intelligence 2019 Hendaye, France 4-6 September 2019. Published in: Nguyen, N. T. et al., Computational Collective Intelligence: 11th International Conference, ICCCI 2019, Hendaye, France, September 4–6, 2019, Proceedings, Part I. Vol. 11683.Lecture Notes in Computer Science Cham: Springer Nature. , pp.-. (10.1007/978-3-030-28377-3_10)
Bonnici, A. et al., 2019. Sketch-based interaction and modeling: where do we stand?. AI EDAM 33 (4), pp.370-388. (10.1017/S0890060419000349)
Booth, R. et al. 2019. On rational entailment for Propositional Typicality Logic. Artificial Intelligence 277 103178. (10.1016/j.artint.2019.103178)
Booth, R. and Chandler, J. 2019. From iterated revision to iterated contraction: extending the Harper Identity. Artificial Intelligence 277 103171. (10.1016/j.artint.2019.103171)
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. Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 33.Vol. 1. Palo Alto, California: AAAI Press. , pp.6228-6235. (10.1609/aaai.v33i01.33016228)
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. et al. 2019. Weyl solutions and j-selfadjointness for Dirac operators. Journal of Mathematical Analysis and Applications 480 (2) 123344. (10.1016/j.jmaa.2019.07.034)
Brown, B. , Evans, W. D. and Wood, I. G. 2019. Positive self-adjoint operator extensions with applications to differential operators. Integral Equations and Operator Theory 91 41. (10.1007/s00020-019-2540-4)
Brown, B. M. et al. 2019. The detectable subspace for the Friedrichs model. Integral Equations and Operator Theory 91 49. (10.1007/s00020-019-2548-9)
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)
Bui, N. et al., 2019. eBP: a wearable system for frequent and comfortable blood pressure monitoring from user's ear. Presented at: MobiCom '19: The 25th Annual International Conference on Mobile Computing and Networking Los Cabos Mexico 21-25 October 2019. MobiCom '19: The 25th Annual International Conference on Mobile Computing and Networking. Association for Computing Machinery. , pp.1-17. (10.1145/3300061.3345454)
Burnap, P. et al. 2019. Chatty factories: a vision for the future of product design and manufacture with IoT. Presented at: Living in the Internet of Things (IoT 2019) London, UK 1-2 May 2019. Living in the Internet of Things (IoT 2019). IET. , pp.4 (6 pp.). (10.1049/cp.2019.0129)
Buyya, R. et al. 2019. A manifesto for future generation cloud computing. ACM Computing Surveys 51 (5) 105. (10.1145/3241737)
Cai, J. et al., 2019. Deep point-based scene labeling with depth mapping and geometric patch feature encoding. Graphical Models 104 101033. (10.1016/j.gmod.2019.101033)
Camacho Collados, J. et al. 2019. A latent variable model for learning distributional relation vectors. Presented at: IJCAI-19: International Joint Conference on Artificial Intelligence Macau, China 10-16 August 2019.
Camacho Collados, J. , Espinosa-Anke, L. and Schockaert, S. 2019. Relational word embeddings. Presented at: 57th Annual Meeting of the Association for Computational Linguistics (ACL) Florence, Italy 28 July - 2 August 2019.
Caminada, M. and Dunne, P. 2019. Strong admissibility revisited: theory and applications. Argument and Computation 10 (3), pp.277-300. (10.3233/AAC-190463)
Cerutti, F. , Giacomin, M. and Vallati, M. 2019. How we designed winning algorithms for abstract argumentation and which insight we attained. Artificial Intelligence 276 , pp.1-40.
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)
Chandler, J. and Booth, R. 2019. Elementary iterated revision and the Levi Identity. Presented at: International Conference on Logic, Rationality and Interaction (LORI) Chongqing, China October 18-21, 2019. , pp.-.
Chandler, M. S. 2019. New methods in quantification and RF pulse optimisation for magnetic resonance spectroscopy. PhD Thesis , Cardiff University.
Chen, C. et al. 2019. Automobile maintenance prediction using deep learning with GIS data. Procedia CIRP 81 , pp.-. (10.1016/j.procir.2019.03.077)
Chen, Y. et al., 2019. Unpacking the infrastructuring work of patients and caregivers around the world. Presented at: CHI 2019 4-9 May 2019. CHI EA '19: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems. (10.1145/3290607.3299021)
Cheng, M. et al., 2019. Structure-preserving neural style transfer. IEEE Transactions on Image Processing 29 , pp.909-920.
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
Chopard, D. and Spasic, I. 2019. A deep learning approach to self-expansion of abbreviations based on morphology and context distance. Presented at: SLSP 2019: 7th International Conference on Statistical Language and Speech Processing Ljubljana, Slovenia 14-16 October 2019. Published in: Martín-Vide, C. , Purver, M. and Pollak, S. eds. Statistical Language and Speech Processing: 7th International Conference, SLSP 2019, Ljubljana, Slovenia, October 14–16, 2019, Proceedings. Vol. 11816.Springer. , pp.71-82. (10.1007/978-3-030-31372-2_6)
Christiaens, D. et al., 2019. In utero diffusion MRI. Topics in Magnetic Resonance Imaging 28 (5), pp.255-264. (10.1097/RMR.0000000000000211)
Corcoran, P. 2019. Topological generalization of continuous valued raster data. Presented at: ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems Chicago, Illinois, USA 5-8 November 2019. Proceedings of ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. ACM. , pp.-.
Corcoran, P. 2019. Topology based object tracking. Mathematical and Computational Applications 24 (3) 84. (10.3390/mca24030084)
Corcoran, P. , Zunic, J. and Rosin, P. 2019. A multi-scale topological shape model for single and multiple component shapes. Journal of Visual Communication and Image Representation 64 102617. (10.1016/j.jvcir.2019.102617)
Crossley, S. G. M. et al., 2019. Perceptions of visualising physical activity as a 3D-printed object: Formative study. 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 21 (6) e12067. (10.2196/12067)
Dai, X. et al., 2019. Machine learning on mobile: An on-device inference app for skin cancer detection. Presented at: 2019 4th International Conference on Fog and Mobile Edge Computing Rome, Italy 10-13 June 2019. 2019 Fourth International Conference on Fog and Mobile Edge Computing (FMEC). IEEE. , pp.301-305. (10.1109/FMEC.2019.8795362)
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.
Edwards, A. , Preece, A. D. and De Ribaupierre, H. 2019. Knowledge extraction from a small corpus of unstructured safeguarding reports. Presented at: 16th ESWC 2019 Portoroz, Slovenia 2-6 June 2019.
Espinosa-Anke, L. , Wanner, L. and Schockaert, S. 2019. Collocation classification with unsupervised relation vectors. Presented at: 57th Annual Meeting of the Association for Computational Linguistics (ACL) Florence, Italy 28 July - 2 August 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)
Fahy, E. et al., 2019. LipidFinder on LIPID MAPS: peak filtering, MS searching and statistical analysis for lipidomics. Bioinformatics 35 (4), pp.685-687. (10.1093/bioinformatics/bty679)
Fan, D. et al., 2019. Scoot: A perceptual metric for facial sketches. Presented at: ICCV 2019: International Conference on Computer Vision Seoul, South Korea 27 Oct - 2 Nov 2019. IEEE International Conference on Computer Vision. Computer Vision Foundation. , pp.5612-5622.
Fan, L. , Liu, H. and Hou, Y. 2019. An improved Siamese network for face sketch recognition. Presented at: International Conference on Machine Learning and Cybernetics Kobe, Japan 7-10 July 2019. 2019 International Conference on Machine Learning and Cybernetics (ICMLC). IEEE(10.1109/ICMLC48188.2019.8949231)
Finnimore, P. et al., 2019. Strong baselines for complex word identification across multiple languages. Presented at: 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2019) 2-7 June 2019. Published in: Burstein, J. , Doran, C. and Solorio, T. eds. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). Association for Computational Linguistics. , pp.970-977. (10.18653/v1/N19-1102)
Fuentes, C. et al., 2019. New directions for the IoT: automate, share, build, and care. Presented at: CHI 2019 4-9 May, 2019. CHI EA '19: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems. (10.1145/3290607.3299000)
Fuentes, C. et al. 2019. Tracking the consumption of home essentials. Presented at: CHI '19: CHI Conference on Human Factors in Computing Systems Glasgow, Scotland 4-9 May 2019. CHI '19: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. New York: Association for Computing Machinery. , pp.1-13. (10.1145/3290605.3300869)
Galvez Trigo, M. J. , Standen, P. J. and Cobb, S. V. G. 2019. Robots in special education: reasons for low uptake. Journal of Enabling Technologies 13 (2), pp.59-69. (10.1108/JET-12-2018-0070)
Gao, L. et al., 2019. SDM-NET: deep generative network for structured deformable mesh. ACM Transactions on Graphics 38 (6) 243. (10.1145/3355089.3356488)
Gogacz, T. et al., 2019. On finite and unrestricted query entailment beyond SQ with number restrictions on transitive roles. Presented at: 28th International Joint Conference on Artificial Intelligence (IJCAI-19) Macao, China 10-16 August 2019. , pp.-.
Guo, P. et al., 2019. Numeric prediction of dissolved oxygen status through two-stage training for classification-driven regression. Presented at: International Conference on Machine Learning and Cybernetics Kobe, Japan 7-10 July 2019. 2019 International Conference on Machine Learning and Cybernetics (ICMLC). (10.1109/ICMLC48188.2019.8949196)
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 025005. (10.1088/1748-9326/aaf5db)
Hardisty, A. et al. 2019. ‘The Last Mile’: The registry behind the identifier [Conference Abstract]. Presented at: Biodiversity_Next 2019 Leiden, The Netherlands 21-25 October 2019. Biodiversity Information Science and Standards. Vol. 3.Vol. e37034. Pensoft. , pp.-. (10.3897/biss.3.37034)
Hardisty, A. et al. 2019. ‘openDS’ – A new standard for digital specimens and other natural science digital object types. Presented at: Biodiversity_Next 2019 Leiden, The Netherlands 21-25 October 2019. Biodiversity Information Science and Standards. Vol. 3.https://biss.pensoft.net/: Pensoft. , pp.e37033. (10.3897/biss.3.37033)
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)
Heyken Soares, P. et al., 2019. An adaptive scaled network for public transport route optimisation. Public Transport 11 (2), pp.379-412. (10.1007/s12469-019-00208-x)
Hu, B. et al., 2019. Pairwise-comparison-based rank learning for benchmarking image restoration algorithms. IEEE Transactions on Multimedia 21 (8), pp.2042-2056. (10.1109/TMM.2019.2894958)
Huang, J. et al., 2019. ClusterSLAM: A SLAM backend for simultaneous rigid body clustering and motion estimation. Presented at: IEEE International Conference on Computer Vision (ICCV) Seoul, Korea 27 October - 2 November 2019. 2019 IEEE/CVF International Conference on Computer Vision (ICCV) Proceedings. IEEE. (10.1109/ICCV.2019.00597)
Hui, H. , Maynard, P. and McLaughlin, K. 2019. ICS interaction testbed: a platform for cyber-physical security research. Presented at: 6th International Symposium for ICS & SCADA Cyber Security Research 2019 (ICS-CSR) Athens 10-12 September 2019. Proceedings 6th International Symposium for ICS & SCADA Cyber Security Research 2019. BCS Learning and Development Ltd. , pp.89-96. (10.14236/ewic/icscsr19.12)
Hunter, A. and Polberg, S. 2019. A model-based theorem prover for epistemic graphs for argumentation. Presented at: 15th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2019) Belgrade, Serbia 18-20 September 2019.
Hunter, A. , Polberg, S. and Potyka, N. 2019. Delegated updates in epistemic graphs for opponent modelling. International Journal of Approximate Reasoning 113 , pp.207-244. (10.1016/j.ijar.2019.07.006)
Hunter, A. , Polberg, S. and Potyka, N. 2019. Delegated updates in epistemic graphs for opponent modelling. International Journal of Approximate Reasoning: Uncertainty in Intelligent Systems 113 , pp.207-244. (10.1016/j.ijar.2019.07.006)
Hussein, A. et al., 2019. Crowdsourced peer learning activity for Internet of Things education: a case study. IEEE Internet of Things Magazine 2 (3), pp.26-31. (10.1109/IOTM.0001.1900040)
Iacovides, I. et al., 2019. Supporting engagement in research through a game design competition. Research for All 3 (1), pp.25-41. (10.18546/RFA.03.1.04)
Jackson, L. H. et al., 2019. Respiration resolved imaging with continuous stable state 2D acquisition using linear frequency SWEEP. Magnetic Resonance in Medicine 82 (5), pp.1631-1645. (10.1002/mrm.27834)
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. Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 33.Vol. 1. Palo Alto, California: AAAI Press. , pp.6562-6569. (10.1609/aaai.v33i01.33016562)
Jameel, S. and Schockaert, S. 2019. Word and document embedding with vMF-mixture priors on context word vectors. Presented at: 57th Annual Meeting of the Association for Computational Linguistics (ACL) Florence, Italy 28 July - 2 August 2019.
Javed, A. 2019. Understanding malware behaviour in online social networks and predicting cyber attack. PhD Thesis , Cardiff University.
Javed, A. , Burnap, P. and Rana, O. 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. 2019. Exploiting Flickr meta-data for predicting environmental features. PhD Thesis , Cardiff University.
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.-.
Jin, X. et al., 2019. AI-GAN: signal de-interference via asynchronous interactive generative adversarial network. Presented at: 2019 IEEE International Conference on Multimedia & Expo Workshops (ICMEW) Shanghai 08-12 July 2019. 2019 IEEE International Conference on Multimedia & Expo Workshops (ICMEW). IEEE. (10.1109/ICMEW.2019.00046)
Jin, X. et al., 2019. Unsupervised single image deraining with self-supervised constraints. Presented at: 2019 IEEE International Conference on Image Processing Taipei, Taiwan 22-25 September 2019. 2019 IEEE International Conference on Image Processing. IEEE. , pp.2761-2765. (10.1109/ICIP.2019.8803238)
Jonckheere, E. , Schirmer, S. and Langbein, F. 2019. Effect of quantum mechanical global phase factor on error vs sensitivity limitation in quantum routing. Presented at: 58th IEEE Conf. Decision and Control (CDC 2019) Nice, France 11th-13th December 2019. Proceedings of 58th IEEE Conf. Decision and Control (CDC 2019). IEEE
Jones, K. E. et al. 2019. Reducing anxiety for dental visits. Presented at: 17th IFIP TC 13 International Conference Paphos, Greece 2-6 September 2019. Published in: Lamas, D. et al., Human-Computer Interaction – INTERACT 2019: 17th IFIP TC 13 International Conference, Paphos, Cyprus, September 2–6, 2019, Proceedings, Part IV. Vol. 11749.Lecture Notes in Computer Science Springer. , pp.659-663. (10.1007/978-3-030-29390-1_57)
Karakuş, O. and Achim, A. 2019. Ship wake detection in X-band SAR images using sparse GMC regularization. Presented at: 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Brighton, England 12-17 May 2019. ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE. , pp.2182-2186. (10.1109/ICASSP.2019.8683489)
Karakuş, O. , Kuruoğlu, E. E. and Altınkaya, M. A. 2019. Generalized Bayesian model selection for speckle on remote sensing images. IEEE Transactions on Image Processing 28 (4), pp.1748-1758. (10.1109/TIP.2018.2878322)
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)
Keay-Bright, W. and Eslambolchilar, P. 2019. Imagining a digital future: how could we design for enchantment within the special education curriculum?. Presented at: International Association of Societies of Design Research Conference 2019 Manchester, UK 2-5 September 2019.
Kimmig, A. et al. 2019. A collective, probabilistic approach to schema mapping using diverse noisy evidence. IEEE Transactions on Knowledge and Data Engineering 31 (8), pp.1426-1439. (10.1109/TKDE.2018.2865785)
Knight, L. et al. 2019. Towards extending the SWITCH platform for time-critical, cloud-based CUDA applications: Job scheduling parameters influencing performance. Future Generation Computer Systems 100 , pp.542-556. (10.1016/j.future.2019.05.039)
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Xiang, S. et al., 2019. Interactive correction of mislabeled training data. Presented at: IEEE VIS 2019 Vancouver, BC, Canada 20-25 October 2019. 2019 IEEE Conference on Visual Analytics Science and Technology (VAST). IEEE(10.1109/VAST47406.2019.8986943)
Xie, H. et al., 2019. Improving K-means clustering with enhanced Firefly Algorithms. Applied Soft Computing 84 , pp.-. 105763. (10.1016/j.asoc.2019.105763)
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Yang, S. et al., 2019. HeteroFusion: Dense scene reconstruction integrating multi-sensors. IEEE Transactions on Visualization and Computer Graphics 28 (3), pp.181-197. (10.1109/TVCG.2019.2919619)
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.
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Yao, X. et al., 2019. Attention-aware polarity sensitive embedding for affective image retrieval. Presented at: IEEE International Conference on Computer Vision (ICCV) Seoul, Korea 27 October - 2 November 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.
Yilun, Z. , Shah, J. and Schockaert, S. 2019. Learning household task knowledge from WikiHow descriptions. Presented at: 5th Workshop on Semantic Deep Learning Macau, China 10-16 August 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.
Yuan, T. et al., 2019. Two-layer QR codes. IEEE Transactions on Image Processing 28 (9), pp.4413 - 4428. (10.1109/TIP.2019.2908490)
Yuan, T. et al., 2019. Multi-channel convolutional neural network for targeted sentiment classification. Presented at: International Conference on Machine Learning and Cybernetics Kobe, Japan 7-10 July 2019. 2019 International Conference on Machine Learning and Cybernetics (ICMLC). IEEE(10.1109/ICMLC48188.2019.8949286)
Yuan, Y. et al., 2019. Data-driven weight optimization for real-time mesh deformation. Graphical Models 104 101037. (10.1016/j.gmod.2019.101037)
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Zhang, Y. et al., 2019. Computer-assisted relief modelling: a comprehensive survey. Presented at: Eurographics Conference 2019 STARs Genova, Italy 6-10 May 2019.
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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 9 (6), pp.1190-1199. (10.1109/TCPMT.2019.2907106)
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