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

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
Abidi, B. , Yahia, S. B. and Perera, C. 2019. Hybrid microaggregation for privacy preserving data mining. Journal of Ambient Intelligence and Humanized Computing (10.1007/s12652-018-1122-7)
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 247 (2), pp.545-559. (10.1016/j.ejor.2018.10.022)
Al Baghal, T. et al., 2019. Linking Twitter and survey data: The impact of survey mode and demographics on consent rates across three UK studies. Social Science Computer Review (10.1177/0894439319828011)
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. et al., 2019. Essential spectrum for Maxwell's equations. Annales Henri Poincaré 20 (5), 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)
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)
Alrayes, F. , Abdelmoty, A. and Theodorakopoulos, G. 2019. Modelling perceived risks to personal privacy from location disclosure on online social networks. International Journal of Geographical Information Science (10.1080/13658816.2019.1654109)
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. Psycophysiology 56 (1) e13279. (10.1111/psyp.13279)
Alturki, B. et al., 2019. Exploring the effectiveness of service decomposition in fog computing architecture for the Internet of Things. IEEE Transactions on Sustainable Computing (10.1109/TSUSC.2019.2907405)
Anthi, E. et al. 2019. A supervised intrusion detection system for smart home IoT devices. IEEE Internet of Things (10.1109/JIOT.2019.2926365)
Ashford, J. et al. 2019. Understanding the signature of controversial Wikipedia articles through motifs in editor revision networks. Presented at: The Web Conference 2019 San Francisco, CA, USA 13-17 May 2019.
Auluck, N. et al., 2019. Scheduling real time security aware tasks in fog networks. IEEE Transactions on Services Computing , pp.-. (10.1109/TSC.2019.2914649)
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.
Azad, M. . A. et al., 2019. Authentic-caller: self-enforcing authentication in a next generation network. IEEE Transactions on Industrial Informatics (10.1109/TII.2019.2941724)
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)
Booth, R. et al. 2019. On rational entailment for propositional typicality logic. Artificial Intelligence
Booth, R. and Chandler, J. 2019. From iterated revision to iterated contraction: Extending the Harper Identity. Artificial Intelligence
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 , pp.-. (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)
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
Cerutti, F. , Giacomin, M. and Vallati, M. 2019. How we designed winning algorithms for abstract argumentation and which insight we attained. Artificial Intelligence , pp.-.
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.-.
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)
Cheng, M. et al., 2019. Structure-preserving neural style transfer. IEEE Transactions on Image Processing
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)
Crossley, S. G. M. et al., 2019. Perceptions of visualising physical activity as a 3D-printed object: A formative study (Preprint). JMIR: Journal of Medical Internet Research 21 (1) e12064. (10.2196/12064)
Crossley, S. G. M. et al., 2019. The tangibility of personalised 3D printed feedback may enhance youth's physical activity awareness, goal-setting and motivation. JMIR mHealth and uHealth 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)
Dongyu, S. et al., 2019. WSCNet: Weakly Supervised Coupled Networks for Visual Sentiment Classification and Detection. IEEE Transactions on Multimedia , pp.-. (10.1109/TMM.2019.2939744)
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)
Gao, L. et al., 2019. Sparse data driven mesh deformation. IEEE Transactions on Visualization and Computer Graphics (10.1109/TVCG.2019.2941200)
Gao, L. et al., 2019. SDM-NET: Deep generative network for structured deformable mesh. ACM Transactions on Graphics 38 , pp.243:1-243:15.
Gartner, D. , Zhang, Y. and Padman, R. 2019. Reducing clinical workload in the care prescription process: Optimization of order sets. IMA Journal of Management Mathematics 30 (3), pp.305-321. (10.1093/imaman/dpy018)
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.-.
Gu, K. et al., 2019. Multiscale natural scene statistical analysis for no-reference quality evaluation of DIBR-synthesized views. IEEE Transactions on Broadcasting (10.1109/TBC.2019.2906768)
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. , pp.-.
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 (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.
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)
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. , Burnap, P. and Rana, O. F. 2019. Prediction of drive-by download attacks on Twitter. Information Processing and Management 56 (3), pp.1133-1145. (10.1016/j.ipm.2018.02.003)
Jeawak, S. , Jones, C. and Schockaert, S. 2019. Embedding geographic locations for modelling the natural environment using Flickr tags and structured data. Presented at: ECIR 2019: 41st European Conference on Information Retrieval Cologne, Germany 14-18 April 2019. , pp.-.
Jenkins, C. et al. 2019. Quantification of edited magnetic resonance spectroscopy: a comparative phantom based study of analysis methods. Presented at: ISMRM 27th Annual Meeting & Exhibition Montréal, QC, Canada 11-16 May 2019. , pp.-.
Jiang, L. , Zhang, J. and Deng, B. 2019. Robust RGB-D face recognition using attribute-aware loss. IEEE Transactions on Pattern Analysis and Machine Intelligence (10.1109/TPAMI.2019.2919284)
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)
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.
Khan, A. A. et al., 2019. An energy and performance aware consolidation technique for containerized datacenters. IEEE Transactions on Cloud Computing (10.1109/TCC.2019.2920914)
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 Uuniversity.
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 colourisation 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)
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.
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)
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. , pp.-.
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. , pp.-.
Liu, H. , Chen, S. and Cocea, M. 2019. Heuristic target class selection for advancing performance of coverage-based rule learning. Information Sciences 479 , pp.164-179. INS14101. (10.1016/j.ins.2018.12.001)
Liu, H. , Chen, S. and Cocea, M. 2019. Subclass-based semi-random data partitioning for improving sample representativeness. Information Sciences 478 , pp.208-221. (10.1016/j.ins.2018.11.002)
Liu, H. and Cocea, M. 2019. Granular computing based approach of rule learning for binary classification. Granular Computing 4 (2), pp.275-283. (10.1007/s41066-018-0097-2)
Liu, H. and Zhang, L. 2019. Advancing ensemble learning performance through data transformation and classifiers fusion in granular computing context. Expert Systems with Applications 131 , pp.20-29. (10.1016/j.eswa.2019.04.051)
Liu, H. and Leveque, L. 2019. An eye-tracking database of video advertising. Presented at: 26th IEEE International Conference on Image Processing (ICIP) Taipei, Taiwan 22-25 September 2019.
Liu, J. et al. 2019. Image-driven unsupervised 3D model co-segmentation. Visual Computer 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)
Liu, Y. et al., 2019. Ranking-preserving cross-source learning for image retargeting quality assessment. IEEE Transactions on Pattern Analysis and Machine Intelligence
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)
Loizides, F. et al. 2019. MyCompanion: A digital social companion for assisted living. Lecture notes in computer science 11749 , pp.649-653. (10.1007/978-3-030-29390-1_55)
Longo, F. , Puliafito, A. and Rana, O. 2019. Guest Editors' Introduction to the Special Issue on Fog, Edge, and Cloud Integration for Smart Environments. ACM Transactions on Internet Technology 19 (2) 17. (10.1145/3319404)
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. A cross-organizational ecology for virtual communities of practice in higher education. International Journal of Human-Computer Interaction (10.1080/10447318.2019.1664067)
Mavri, A. , Ioannou, A. and Loizides, F. 2019. On the reliability and factorial validity of the assessment scale for creative collaboration. Lecture notes in computer science 11746 , pp.783-792. (10.1007/978-3-030-29381-9_46)
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)
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. , pp.-. (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. , pp.-. (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)
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)
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 (10.1016/j.ins.2019.09.061)
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)
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