Yr Ysgol Cyfrifiadureg a Gwybodeg

Cyhoeddiadau 2019

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.12016.
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. 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)
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)
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)
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. 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)
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)
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 25005. (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)
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)
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)
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.-.
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)
Krumhuber, E. G. et al. 2019. When facial expressions do and do not signal minds: the role of face inversion, expression dynamism, and emotion type. Emotion 19 (4), pp.746-750. (10.1037/emo0000475)
Leveque, L. 2019. Analysing and quantifying visual experience in medical imaging. PhD Thesis , Cardiff University.
Lévêque, L. et al. 2019. A statistical evaluation of eye-tracking data of screening mammography: Effects of expertise and experience on image reading. Signal Processing: Image Communication 78 , pp.86-93. (10.1016/j.image.2019.06.008)
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 colorization using location-aware cross-scale matching. IEEE Transactions on Image Processing 28 (9), pp.4606-4619. (10.1109/TIP.2019.2912291)
Li, K. et al., 2019. Generating 3D faces using multi-column graph convolutional networks. Computer Graphics Forum 38 (7), pp.215-224.
Li, N. , Bouraoui, Z. and Schockaert, S. 2019. Ontology completion using graph convolutional networks. Presented at: 18th International Semantic Web Conference Auckland, New Zealand 26-30 October 2019.
Li, Y. et al., 2019. IoT-CANE: a unified knowledge management system for data-centric Internet of Things application systems. Journal of Parallel and Distributed Computing 131 , pp.161-172. (10.1016/j.jpdc.2019.04.016)
Liang, J. et al., 2019. Simultaneous subspace clustering and cluster number estimating based on triplet relationship. IEEE Transactions on Image Processing 28 (8), pp.3973-3985. (10.1109/TIP.2019.2903294)
Linde-Domingo, J. et al., 2019. Evidence that neural information flow is reversed between object perception and object reconstruction from memory. Nature Communications 10 179. (10.1038/s41467-018-08080-2)
Liu, C. et al., 2019. Multi-scale residual hierarchical dense networks for single image super-resolution. IEEE Access 7 , pp.60572 -60583. (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 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-perspective creation of diversity for image classification in ensemble learning context. 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/ICMLC48188.2019.8949189)
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. and Chen, S. 2019. Multi-task ensemble creation for advancing performance of image segmentation. Presented at: International Conference on Machine Learning and Cybernetics Kobe, Japan 7-10 July 2019. Multi-task ensemble creation for advancing performance of image segmentation. IEEE(10.1109/ICMLC48188.2019.8949292)
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 Cocea, M. 2019. Nature-inspired framework of ensemble learning for collaborative classification in granular computing context. Granular Computing 4 , pp.715-724. (10.1007/s41066-018-0122-5)
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 35 (6-8), pp.909-920. (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)
Loizides, F. et al. 2019. MyCompanion: A digital social companion for assisted living. Presented at: INTERACT 2019 Paphos, Cyprus 2–6 Sep 2019. Published in: Lamas, D. et al., Human-Computer Interaction: INTERACT 2019, Part IV. Vol. 11749.Lecture Notes in Computer Science Cham, Switzerland: Springer Verlag. , pp.649-653. (10.1007/978-3-030-29390-1_55)
Loizides, F. et al. 2019. Crowdsourcing real world feedback for human computer interaction education. In: Khan, V. J. et al., Macrotask Crowdsourcing: Engaging the Crowds to Address Complex Problems. Human–Computer Interaction Series Springer. , pp.233-252. (10.1007/978-3-030-12334-5_9)
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), pp.-. 17. (10.1145/3319404)
Lopez, U. et al., 2019. Enabling citizen science in rural environments with IoT and mobile technologies. Presented at: IoT ’19 Bilbao, Spain 22-25 Oct 2019. , pp.-.
Mamais, S. 2019. Privacy-preserving and fraud-resistant targeted advertising for mobile devices. PhD Thesis , Cardiff University.
Mavri, A. , Ioannou, A. and Loizides, F. 2019. On the reliability and factorial validity of the assessment scale for creative collaboration. Presented at: INTERACT 2019 Paphos, Cyprus 2-6 Sep 2019. Published in: Lamas, D. et al., Human-Computer Interaction: INTERACT 2019, Part I. Vol. 11746.Lecture Notes in Computer Science Cham, Switzerland: Springer Verlag. , pp.783-792. (10.1007/978-3-030-29381-9_46)
Medel, V. et al., 2019. Modeling, characterising and scheduling applications in Kubernetes. Presented at: GECON: International Conference on the Economics of Grids, Clouds, Systems, and Services Leeds, UK 17-19 Sep 2019. Published in: Djemame, K. et al., Economics of Grids, Clouds, Systems, and Services. Vol. 11819.Cham: Springer Verlag. , pp.291-294. (10.1007/978-3-030-36027-6_26)
Meng, H. et al., 2019. VV-NET: Voxel VAE Net with group convolutions for point cloud segmentation. Presented at: IEEE International Conference on Computer Vision (ICCV) Seoul, Korea 27 October - 2 November 2019.
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)
Mitchell, J. et al., 2019. The values and principles underpinning community engagement approaches to tackling antimicrobial resistance (AMR). Global Health Action 12 (sup1) 1837484. (10.1080/16549716.2020.1837484)
Morris, R. et al. 2019. The impact of peer pressure: extending Axelrod’s model on cultural polarisation. Presented at: 2019 IEEE International Conference on Cognitive Computing (ICCC 2019) MIlan, Italy 8-13 July 2019. IEEE International Conference on Cognitive Computing (ICCC). IEEE. , pp.114-121. (10.1109/ICCC.2019.00030)
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)
Nieva De La Hidalga, A. et al. 2019. Use of European open science cloud and national e-infrastructures for the long-term storage of digitised assets from natural history collections. Presented at: Biodiversity_Next 2019 Leiden, The Netherlands 21-25 October 2019. Biodiversity Information Science and Standards. Vol. 3.Vol. e37164. Pensoft(10.3897/biss.3.37164)
Nieva De La Hidalga, A. and Hardisty, A. 2019. Making heterogeneous specimen data ‘FAIR’: Implementing a digital specimen repository. 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.e37163. (10.3897/biss.3.37163)
Nieva De La Hidalga, A. et al. 2019. Use of semantic segmentation for increasing the throughput of digitisation workflows for natural history collections. Presented at: Biodiversity_Next 2019 Leiden, The Netherlands 21-25 October 2019. Biodiversity Information Science and Standards. Vol. 3.Vol. e37161. Pensoft(10.3897/biss.3.37161)
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)
Noe, B. , Turner, L. and Whitaker, R. 2019. Smartphone interaction and survey data as predictors of Snapchat usage. Presented at: UbiComp 2019 London, UK 9-10 Sept 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. , pp.438-445. (10.1145/3341162.3349298)
Nunes, M. 2019. Comparing the utility of user-level and kernel-level data for dynamic malware analysis. PhD Thesis , Cardiff University.
Nunes, M. et al. 2019. Getting to the root of the problem: A detailed comparison of kernel and user level data for dynamic malware analysis. Journal of Information Security and Applications 48 102365. (10.1016/j.jisa.2019.102365)
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)
Ovalle, J. Q. , Stawarz, K. and Marzo, A. 2019. Exploring the addition of audio input to wearable punch recognition. Presented at: Interacción 2019: XX International Conference on Human Computer Interaction Donostia Gipuzkoa, Spain Jun 2019. Proceedings of the XX International Conference on Human Computer Interaction. New York, US: ACM(10.1145/3335595.3335641)
Pan, Y. et al., 2019. InSocialNet: Interactive visual analytics for role-event videos. Computational Visual Media 5 (4), pp.375-390. (10.1007/s41095-019-0157-9)
Pereira-Kohatsu, J. C. et al., 2019. Detecting and monitoring hate speech in Twitter. Sensors 19 (21) 4654. (10.3390/s19214654)
Perera, C. et al. 2019. Contextual location in the home using Bluetooth Beacons. IEEE Systems Journal 13 (3), pp.2720-2723. (10.1109/JSYST.2018.2878837)
Perera, C. et al. 2019. Designing privacy-aware Internet of Things applications. Information Sciences 512 , pp.238-257. (10.1016/j.ins.2019.09.061)
Perera, C. et al. 2019. Internet of Things for efficient wildlife conservation: challenges and opportunities. Technical Report.
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.
Petri, I. et al. 2019. Edge-cloud orchestration: Strategies for service placement and enactment. Presented at: 2019 IEEE International Conference on Cloud Engineering (IC2E) Prague, Czech Republic 24-27 June 2019. Cloud Engineering (IC2E), IEEE International Conference on. IEEE. , pp.67-75. (10.1109/IC2E.2019.00020)
Pezzica, C. et al. 2019. Between images and built form: automating the recognition of standardised building components using deep learning. Presented at: 27th CIPA International Symposium “Documenting the past for a better future” Avila, Spain 1-5 September 2019. ISPRS Ann. Photogramm. Remote Sens. Vol. IV-2.Copernicus. , pp.123-132. (10.5194/isprs-annals-IV-2-W6-123-2019)
Potyka, N. , Polberg, S. and Hunter, A. 2019. Polynomial-time updates of epistemic states in a fragment of probabilistic epistemic argumentation. Presented at: 15th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2019) Belgrade, Serbia September 18-20, 2019. , pp.-.
Procter, R. et al., 2019. A study of cyber hate on Twitter with implications for social media governance strategies. [Online].arXiv. Available athttps://arxiv.org/abs/1908.11732.
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)
Raes, N. et al., 2019. Requirement analysis for the DiSSCo research infrastructure. 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.e37892. (10.3897/biss.3.37892)
Rafferty, J. et al., 2019. On average, a professional rugby union player is more likely than not to sustain a concussion after 25 matches. British Journal of Sports Medicine 53 (15), pp.969-973. (10.1136/bjsports-2017-098417)
Rehman, M. et al., 2019. The role of big data analytics in industrial Internet of Things. Future Generation Computer Systems 99 , pp.247-259.
Reinecke, P. et al. 2019. Category based execution scheduling. 10310877 [Patent]
Rhode, M. et al. 2019. LAB to SOC: Robust Features for Dynamic Malware Detection. Presented at: 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2019) Portland, OR, USA 24-27 June 2019. 2019 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks – Industry Track. IEEE. , pp.13-16. (10.1109/DSN-Industry.2019.00010)
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)
Rozaki, E. 2019. Automated network optimisation using data mining as support for economic decision systems. PhD Thesis , Cardiff University.
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)
Saxena, N. et al. 2019. BAS-VAS: A novel secure protocol for value added service delivery to mobile devices. IEEE Transactions on Information Forensics and Security 15 , pp.1470-1485. (10.1109/TIFS.2019.2940908)
Schroeter, J. , Sidorov, K. and Marshall, D. 2019. Weakly-supervised temporal localization via occurrence count learning. Presented at: 36th International Conference on Machine Learning Long Beach, CA, USA 9-15 June 2019. Published in: Chaudhuri, K. and Salakhutdinov, R. eds. Proceedings of Machine Learning Research. Volume 97: International Conference on Machine Learning, 9-15 June 2019, Long Beach, California, USA. Vol. 97., pp.5649-5659.
Scourfield, J. et al. 2019. The number and characteristics of newspaper and Twitter reports on suicides and road traffic deaths in young people. Archives of Suicide Research 23 (3), pp.507-522. (10.1080/13811118.2018.1479321)
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)
Sinoara, R. et al., 2019. Knowledge-enhanced document embeddings for text classification. Knowledge-Based Systems 163 , pp.955-971. (10.1016/j.knosys.2018.10.026)
Spasic, I. et al. 2019. Cohort selection for clinical trials from longitudinal patient records: text mining approach. JMIR Medical Informatics 7 (4) e15980. (10.2196/15980)
Spasic, I. et al. 2019. Unsupervised multi-word term recognition in Welsh. Presented at: Celtic Language Technology Workshop 2019 Dublin, Ireland 19 August 2019. Published in: Lynn, T. et al., Proceedings of the Celtic Language Technology Workshop. European Association for Machine Translation
Spasic, I. et al. 2019. KLOSURE: Closing in on open–ended patient questionnaires with text mining. Journal of Biomedical Semantics 10 (S1) 24. (10.1186/s13326-019-0215-3)
Stawarz, K. , Preist, C. and Coyle, D. 2019. Use of smartphone apps, social media, and web-based resources to support mental health and well-being: online survey. JMIR Mental Health 6 (7) e12546. (10.2196/12546)
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. Published in: Atkinson, M. and Gesing, S. eds. Vol. 2357.CEUR Workshop Proceedings
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)
Stefanic, P. et al. 2019. Support for full life cycle cloud-native application management: Dynamic TOSCA and SWITCH IDE. Future Generation Computer Systems 101 , pp.975-982. (10.1016/j.future.2019.07.027)
Subahi, A. and Theodorakopoulos, G. 2019. Detecting IoT user behavior and sensitive information in encrypted IoT -app traffic. Sensors 19 (21) 4777. (10.3390/s19214777)
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.
Torrecilla, J. L. et al., 2019. Evolution and study of a copycat effect in intimate partner homicides: A lesson from Spanish femicides. PLoS ONE 14 (6) e0217914. (10.1371/journal.pone.0217914)
Treder, M. 2019. Direct calculation of out-of-sample predictions in multi-class kernel FDA. Presented at: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning Bruges, Belgium 24-26 April 2019. ESANN 2019 Proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. ESANN. , pp.245-250.
Turner, L. D. et al. 2019. Evidence to support common application switching behaviour on smartphones. Royal Society Open Science 6 (3) 190018. (10.1098/rsos.190018)
Turner, L. , Allen, S. and Whitaker, R. 2019. The influence of concurrent mobile notifications on individual responses. International Journal of Human-Computer Studies 132 , pp.70-80. (10.1016/j.ijhcs.2019.07.011)
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)
Verdezoto, N. et al. 2019. Infrastructural artefacts in community health: a case study of pregnancy care infrastructures in south India. Presented at: The 7th International Conference on Infrastructures in Healthcare Vienna, Austria 30-31 May 2018. Infrahealth 2019 - Proceedings of the 7th International Workshop on Infrastructure in Healthcare 2019. Vol. 3.Reports of the European Society for Socially Embedded Technologies European Society for Socially Embedded Technologies (EUSSET)(10.18420/ihc2019_006)
Vilamala, M. R. et al., 2019. A pilot study on detecting violence in videos fusing proxy models. Presented at: 22nd International Conference on Information Fusion Ottawa, Canada 2-5 July 2019.
Villari, M. et al., 2019. Osmosis: the osmotic computing platform for microelements in the cloud, edge, and internet of things. Computer 52 (8), pp.14-26. (10.1109/MC.2018.2888767)
Walker, D. W. et al. 2019. Accelerating magnetic induction tomography-based imaging through heterogeneous parallel computing. Concurrency and Computation: Practice and Experience 31 (17) e5265. (10.1002/cpe.5265)
Wang, H. et al., 2019. Deformable non-local network for video super-resolution. IEEE Access 7 , pp.177734-177744. http://dx.doi.org/10.1109/ACCESS.2019.2958030. (10.1109/ACCESS.2019.2958030)
Wang, T. et al., 2019. Robust and flexible puzzle solving with corner-based cycle consistent correspondences. Presented at: EG UK Computer Graphics & Visual Computing Bangor, UK 12-13 September 2019. Published in: Tam, G. K. L. and Roberts, J. C. eds. EG UK Computer Graphics & Visual Computing. The Eurographics Association
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. Discriminative features matter: Multi-layer bilinear pooling for camera localization. Presented at: BMVC 2019: 30th British Machine Vision Conference Cardiff, UK 9-12 September, 2019.
Weir, K. et al., 2019. Using virtual reality to enable individuals with severe visual disabilities to read books. Presented at: INTERACT 2019 Paphos, Cyprus 2-6 Sep 2019. Published in: Lamas, D. et al., Human-Computer Interaction: INTERACT 2019, Part IV. Vol. 11749.Lecture Notes in Computer Science Cham, Switzerland: Springer Verlag. , pp.680-684. (10.1007/978-3-030-29390-1_62)
Weldegebriel, H. et al., 2019. A new hybrid convolutional neural network and eXtreme gradient boosting classifier for recognizing handwritten Ethiopian characters. IEEE Access 8 , pp.17804-17818. (10.1109/ACCESS.2019.2960161)
Williams, L. et al. 2019. Comparing the utility of different classification schemes for emotive language analysis. Journal of Classification 36 (3), pp.619-648. (10.1007/s00357-019-9307-0)
Williams, M. L. et al. 2019. Under the corporate radar: examining insider business cybercrime victimization through an application of routine activities theory. Deviant Behavior 40 (9), pp.1119-1131. (10.1080/01639625.2018.1461786)
Wu, X. et al., 2019. Joint acne image grading and counting via label distribution learning. Presented at: IEEE International Conference on Computer Vision (ICCV) Seoul, Korea 27 October - 2 November 2019.
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.
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)
Xu, Y. and Huang, Y. 2019. MWPoW: Multiple Winners Proof of Work Protocol, a decentralisation strengthened fast-confirm blockchain protocol. Security and Communication Networks 2019 3674274. (10.1155/2019/3674274)
Xu, C. et al., 2019. Cross-layer optimization for cooperative content distribution in multihop device-to-device networks. IEEE Internet of Things 6 (1), pp.278-287. (10.1109/JIOT.2017.2741718)
Xu, Z. et al., 2019. NFV-enabled multicasting in mobile edge clouds with resource sharing. Presented at: ICPP 2019: 48th International Conference on Parallel Processing Kyoto, Japan 5-8 August 2019. ICPP 2019: Proceedings of the 48th International Conference on Parallel Processing. New York: ACM(10.1145/3337821.3337825)
Yang, J. et al., 2019. Global 3D non-rigid registration of deformable objects using a single RGB-D camera. IEEE Transactions on Image Processing 28 (10), pp.4746 -4761. (10.1109/TIP.2019.2909197)
Yang, M. et al., 2019. Preselection based subjective preference evaluation for the quality of underwater images. Presented at: IEEE Conference on Computer Vision and Pattern Recognition Long Beach, CA 16 - 20 June 2019. , pp.-.
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 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.
Yang, X. , Li, F. and Liu, H. 2019. A survey of DNN methods for blind image quality assessment. IEEE Access 7 , pp.123788-123806. (10.1109/ACCESS.2019.2938900)
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)
Yue, G. et al., 2019. No-reference quality evaluator of transparently encrypted images. IEEE Transactions on Multimedia 21 (9), pp.2184-2194. (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, J. et al., 2019. Accelerating ADMM for efficient simulation and optimization. ACM Transactions on Graphics 38 (6) 163. (10.1145/3355089.3356491)
Zhang, S. et al., 2019. Stylistic scene enhancement GAN: Mixed stylistic enhancement generation for 3D indoor scenes. Visual Computer 35 (6), pp.1157-1169. (10.1007/s00371-019-01691-w)
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). Piscataway, NJ: 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. et al., 2019. Efficient binocular stereo matching based on SAD and improved census transformation. 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/ICMLC48188.2019.8949324)
Zhang, Y. , Lai, Y. and Zhang, F. 2019. Stereoscopic image stitching with rectangular boundaries. Visual Computer 35 (6-8), pp.823-835. (10.1007/s00371-019-01694-7)
Zhao, H. et al., 2019. Image neural style transfer with global and local optimization fusion. IEEE Access 7 (1), pp.85573-85580. (10.1109/ACCESS.2019.2922554)
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)
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)
Zhu, Z. et al., 2019. A metric for video blending quality assessment. IEEE Transactions on Image Processing 29 , pp.3014-3022. (10.1109/TIP.2019.2955294)
Zolkeply, M. S. and Shao, J. 2019. Classifying software issue reports through association mining. Presented at: 34th ACM/SIGAPP Symposium on Applied Computing Limassol, Cyprus 8-12 Apr 2019. SAC '19 Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing. ACM. , pp.1860-1863. (10.1145/3297280.3297608)

Cyhoeddiadau 2019

Chwilio ein harchif cyhoeddiadau

Yr Ysgol Cyfrifiadureg a Gwybodeg

Cysylltwch â ni

Ein lleoliad

Cysylltu â ni

Darganfod ein adnoddau ar-lein