School of Computer Science and Informatics

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

Abdelnour Nocera, J. et al., 2020. Beyond interactions: INTERACT 2019 IFIP TC 13 workshops, Paphos, Cyprus, September 2–6, 2019, revised selected papers. Lecture Notes in Computer Science series and Information Systems and Applications, incl. Internet/Web, and HCI series Springer, Cham. (10.1007/978-3-030-46540-7)
Loizides, F. et al. 2020. Human computer interaction and emerging technologies. Cardiff: Cardiff University Press. (https://doi.org/10.18573/book3)
Abdal, R. , Qin, Y. and Wonka, P. 2020. Image2StyleGAN++: how to edit the embedded images?. Presented at: Conference on Computer Vision and Pattern Recognition (CVPR 2020) Seattle, Washington, USA 16-18 June 2020.
Abidi, B. , Yahia, S. B. and Perera, C. 2020. Hybrid microaggregation for privacy preserving data mining. Journal of Ambient Intelligence and Humanized Computing 11 (1), pp.23-38. (10.1007/s12652-018-1122-7)
Addink, W. and Hardisty, A. 2020. ‘openDS’ – progress on the new standard for digital specimens.. Presented at: TDWG 2020 Annual Conference Virtual 21-25 September, 19-23 October 2020. Vol. 4., pp.e59338. (10.3897/biss.4.59338)
Agyepong, E. et al. 2020. Challenges and performance metrics for security operations center analysts: a systematic review. Journal of Cyber Security Technology 4 (3), pp.125-152. (10.1080/23742917.2019.1698178)
Agyepong, E. et al. 2020. Cyber security operations centre concepts and implementation. In: Modern Theories and Practices for Cyber Ethics and Security Compliance. IGI Global. , pp.88-104. (10.4018/978-1-7998-3149-5.ch006)
Agyepong, E. et al. 2020. Towards a framework for measuring the performance of a security operations center analyst. Presented at: IEEE International Conference on Cyber Security and Protection of Digital Services (Cyber Security 2020) Dublin, Ireland 15-17 June 2020.
Ahmed, U. et al., 2020. Federating cloud systems for collaborative construction and engineering. IEEE Access 8 , pp.799908-29919. (10.1109/ACCESS.2020.2990233)
Aktipis, A. , Whitaker, R. and Ayers, J. D. 2020. Do smartphones create a coordination problem for face-to-face interaction? Leveraging game theory to understand and solve the smartphone dilemma. BioEssays 42 (4) 1800261. (10.1002/bies.201800261)
Al Baghal, T. et al., 2020. Linking Twitter and survey data: the impact of survey mode and demographics on consent rates across three UK studies. Social Science Computer Review 38 (5), pp.517-532. (10.1177/0894439319828011)
Alahdal, S. 2020. Diary mining: predicting emotion from activities, people and places. PhD Thesis , Cardiff University.
Alenizi, F. and Rana, O. 2020. Minimising delay and energy in online dynamic fog systems. Computer Science & Information Technology 14 , pp.139-158. (10.5121/csit.2020.101513)
Alghanmi, I. , Espinosa-Anke, L. and Schockaert, S. 2020. Combining BERT with static word embeddings for categorizing social media. Presented at: 6th Workshop on Noisy User-generated Text (W-NUT 2020) Virtual 19 November 2020.
Ali, M. et al., 2020. RES: real-time video stream analytics using edge enhanced clouds. IEEE Transactions on Cloud Computing (10.1109/TCC.2020.2991748)
Aljeraisy, A. et al. 2020. Exploring the relationships between privacy by design schemes and privacy laws: a comparative analysis. Technical Report.
Alkhariji, L. , Rana, O. and Perera, C. 2020. Examining the interplay between privacy by design (PbD) schemes and privacy patterns. Technical Report.
Alodhyani, F. , Theodorakopoulos, G. and Reinecke, P. 2020. Password managers—it’s all about trust and transparency. Future Internet 12 (11) 189. (10.3390/fi12110189)
Alotaibi, S. et al., 2020. Sehaa: A big data analytics tool for healthcare symptoms and diseases detection using Twitter, Apache Spark, and Machine Learning. Applied Sciences 10 (4), pp.-. 1398. (10.3390/app10041398)
Alraddadi, E. et al. 2020. The role of homophily in opinion formation among mobile agents. Journal of Information and Telecommunication 4 (4), pp.504-523. (10.1080/24751839.2020.1772614)
Alrayes, F. , Abdelmoty, A. and Theodorakopoulos, G. 2020. Modelling perceived risks to personal privacy from location disclosure on online social networks. International Journal of Geographical Information Science 34 (1), pp.150-176. (10.1080/13658816.2019.1654109)
Alrehiely, M. 2020. Evaluating different visualization designs for multivariate personal health data. PhD Thesis , Cardiff University.
Alshaikh, R. et al. 2020. A mixture-of-experts model for learning multi-facet entity embeddings. Presented at: The 28th International Conference on Computational Linguistics (COLING 2020) Virtual 8-13 December 2020.
Alshaikh, R. , Bouraoui, Z. and Schockaert, S. 2020. Hierarchical linear disentanglement of data-driven conceptual spaces. Presented at: International Joint Conferences on Artificial Intelligence Organization (IJCAI-PRICAI 2020) Yokohama, Japan 11-17 July 2020.
Alvarez-Jarreta, J. et al. 2020. LipidFinder 2.0: advanced informatics pipeline for lipidomics discovery applications. Bioinformatics (10.1093/bioinformatics/btaa856)
Alwasel, K. et al., 2020. IoTSim-Osmosis: A framework for modeling and simulating IoT applications over an edge-cloud continuum. Journal of Systems Architecture (10.1016/j.sysarc.2020.101956)
Araujo, H. L. S. et al., 2020. 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)
Asad, B. , Saxena, N. and Katos, V. 2020. Analysis of the security and privacy risks and challenges in smart cities’ traffic light system. Presented at: 3rd Smart Cities Symposium (SCS 2020) Virtual 21-23 September 2020.
Asad, B. and Saxena, N. 2020. On the feasibility of DoS attack on smart door lock IoT network. Presented at: 8th International Symposium on Security in Computing and Communications (SSCC 2020) Virtual 14-17 October 2020.
Ashford, J. 2020. Assessing temporal and spatial features in detecting disruptive users on Reddit. Presented at: 10th Workshop on Social Network Analysis in Applications (SNAA 2020) The Hague, Netherlands 3 August 2020. Published in: Ashford, J. R. et al.,
Azad, M. . A. et al., 2020. Authentic-caller: self-enforcing authentication in a next generation network. IEEE Transactions on Industrial Informatics 16 (5), pp.3606-3615. (10.1109/TII.2019.2941724)
Bagalkot, N. et al., 2020. Beyond health literacy: navigating boundaries and relationships during high-risk pregnancies. Presented at: 11th Nordic Conference on Human- Computer Interaction (NordiCHI 2020) Tallinn, Estonia 25-29 October 2020.
Barati, M. 2020. A formal technique for composing cloud services. Information Technology And Control 49 (1), pp.5-27. (10.5755/j01.itc.49.1.23403)
Barati, M. and Rana, O. 2020. Enhancing user privacy in IoT: Integration of GDPR and Blockchain. Presented at: BlockSys 2019: International Conference on Blockchain and Trustworthy Systems Guangzhou, China 7-8 December 2019. Published in: Zheng, Z. et al., BlockSys 2019: Blockchain and Trustworthy Systems. Communications in Computer and Information Science Springer. , pp.322-335. (10.1007/978-981-15-2777-7_26)
Barati, M. and Rana, O. 2020. Privacy-aware cloud ecosystems: Architecture and performance. Concurrency and Computation: Practice and Experience (10.1002/cpe.5852)
Barati, M. and Rana, O. 2020. Tracking GDPR compliance in cloud-based service delivery. IEEE Transactions on Services Computing (10.1109/TSC.2020.2999559)
Barati, M. et al. 2020. GDPR compliance verification in Internet of Things. IEEE Access 8 , pp.119697-119709. (10.1109/ACCESS.2020.3005509)
Barati, M. et al. 2020. 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)
Barati, M. , Theodorakopoulos, G. and Rana, O. 2020. Automating GDPR compliance verification for cloud-hosted services. Presented at: 2020 International Symposium on Networks, Computers and Communications (ISNCC) Virtual, Canada 20-22 October 2020. 2020 International Symposium on Networks, Computers and Communications (ISNCC). IEEE. , pp.1-6. (10.1109/ISNCC49221.2020.9297309)
Barclay, I. , Preece, A. and Taylor, I. 2020. Certifying provenance of scientific datasets with self-sovereign identity and verifiable credentials. Presented at: 12th International Workshop on Science Gateways (IWSG 2020) Virtual 10-12 June 2020.
Barclay, I. et al. 2020. Enabling discoverable trusted services for highly dynamic decentralized workflows. Presented at: 15th IEEE/ACM Workshop on Workflows in Support of Large-Scale Science (WORKS 2020) Virtual 11 November 2020.
Barclay, I. et al. 2020. A framework for fostering transparency in shared artificial intelligence models by increasing visibility of contributions. Concurrency and Computation: Practice and Experience e6129. (10.1002/cpe.6129)
Barhamgi, M. et al., 2020. Privacy in data service composition. IEEE Transactions on Services Computing 13 (4), pp.639-652. (10.1109/TSC.2019.2963309)
Bedewi, W. et al. 2020. The implications of shared identity on indirect reciprocity. Journal of Information and Telecommunication 4 (4), pp.405-424. (10.1080/24751839.2020.1741858)
Bennewitz, C. , Brown, M. and Weikard, R. 2020. Spectral and scattering theory for ordinary differential equations: Vol. I: Sturm–Liouville equations. Springer International Publishing.
Bérubé, M. et al., 2020. Social media forensics applied to assessment of post–critical incident social reaction: The case of the 2017 Manchester Arena terrorist attack. Forensic Science International 313 110364. (10.1016/j.forsciint.2020.110364)
Bhadoria, R. S. , Nimbalkar, A. and Saxena, N. 2020. On the role of Blockchain technology in the Internet of Things. In: Kim, S. and Deka, G. C. eds. Advanced Applications of Blockchain Technology. Springer. , pp.129-140.
Bo, L. , Lai, Y. and Rosin, P. L. 2020. Sparse graph regularized mesh color edit propagation. IEEE Transactions on Image Processing 29 , pp.5408-5419. (10.1109/TIP.2020.2980962)
Booth, R. and Chandler, J. 2020. On strengthening the logic of iterated belief revision: proper ordinal interval operators. Artificial Intelligence 285 103289. (10.1016/j.artint.2020.103289)
Bou-Chaaya, K. et al., 2020. δ-Risk: Towards context-aware multi-objective privacy management in connected environments. ACM Transactions on Internet Technology
Bouraoui, Z. et al., 2020. Modelling semantic categories using conceptual neighborhood. Presented at: Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20) New York, NY, USA 7-12 February 2020. , pp.-.
Bouraoui, Z. , Camacho Collados, J. and Schockaert, S. 2020. Inducing relational knowledge from BERT. Presented at: Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20) New York, NY, USA 7-12 February 2020. Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 34.Vol. 5. , pp.7456-7463. (10.1609/aaai.v34i05.6242)
Bowman, H. et al., 2020. Breaking the circularity in circul aranalyses: simulations and formal treatment of the flattened average approach. PLoS Computational Biology 16 (11) e1008286. (10.1371/journal.pcbi.1008286)
Brown, B. M. et al. 2020. Gap localization of multiple TE‐Modes by arbitrarily weak defects. Journal of the London Mathematical Society 102 (2), pp.773-795. (10.1112/jlms.12337)
Brown, B. M. et al. 2020. The functional model for maximal dissipative operators (translation form): an approach in the spirit of operator knots. Transactions of the American Mathematical Society 373 , pp.4145-4187. (10.1090/tran/8029)
Brown, M. et al., 2020. Development of a web-based acceptance and commitment therapy intervention to support lifestyle behavior change and well-being in health care staff: participatory design study. JMIR Formative Research 4 (11) e22507. (10.2196/22507)
Button, K. et al. 2020. Using routine referral data for patients with knee and hip pain to improve access to specialist care. BMC Musculoskeletal Disorders 21 66. (10.1186/s12891-020-3087-x)
Cai, W. et al., 2020. Panoptic segmentation-based attention for image captioning. Applied Sciences 10 (1) 391. (10.3390/app10010391)
Camacho Collados, J. et al. 2020. Learning cross-lingual word embeddings from Twitter via distant supervision. Proceedings of the International AAAI Conference on Web and Social Media 14 (1), pp.72-82.
Caminada, M. and Dunne, P. E. 2020. Minimal strong admissibility: a complexity analysis. Presented at: 8th International Conference on Computational Models of Argument (COMMA 2020) Perugia, Italy 4-11 September 2020.
Caminada, M. and Uebis, S. 2020. An implementation of argument-based discussion using aspic. Presented at: 8th International Conference on Computational Models of Argument (COMMA 2020) Perugia, Italy 4-11 September 2020.
Campos-Romero, S. et al., 2020. Perceptions on connecting respite care volunteers and caregivers. International Journal of Environmental Research and Public Health 17 (8) 2911. (10.3390/ijerph17082911)
Carlo, L. et al., 2020. Healthcare infrastructures in Ecuador: challenges, reflections and opportunities for digital health. Presented at: ACM Information and Communication Technologies and Development (ICTD 2020) Online 17-20 June 2020.
Chandler, J. and Booth, R. 2020. Revision by conditionals: from hook to arrow. Presented at: 17th International Conference on Principles of Knowledge Representation and Reasoning (KR 2020) Rhodes, Greece 12-18 September 2020.
Chen, C. et al. 2020. Predictive maintenance using cox proportional hazard deep learning. Advanced Engineering Informatics 44 101054. (10.1016/j.aei.2020.101054)
Chiang, H. , Camacho-Collados, J. and Pardos, Z. 2020. Understanding the source of semantic regularities in word embeddings. Presented at: SIGNLL Conference Computational Natural Language Learning (CoNLL 2020) Virtual 19-20 November 2020. Proceedings of the 24th Conference on Computational Natural Language Learning. Association for Computational Linguistics. , pp.119-131.
Corcoran, P. 2020. An end-to-end graph convolutional kernel support vector machine. Applied Network Science 5 39. (10.1007/s41109-020-00282-2)
Corcoran, P. and Deng, B. 2020. Regularization of persistent homology gradient computation. Presented at: Topological Data Analysis and Beyond Workshop Virtual 11 December 2020.
Corcoran, P. , Mooney, P. and Gagarin, A. 2020. A distributed location obfuscation method for online route planning. Computers and Security 95 101850. (10.1016/j.cose.2020.101850)
Cui, M. et al., 2020. 3D computational modeling and perceptual analysis of kinetic depth effects. Computational Visual Media 6 , pp.265-277. (10.1007/s41095-020-0180-x)
Dai, X. et al., 2020. The state of the art in implementing machine learning for mobile apps: A survey. Presented at: IEEE SoutheastCon Raleigh, USA 12-15 Mar 2020. , pp.-.
De Angeli, D. et al., 2020. Unsettling play: perceptions of agonistic games. Journal on Computing and Cultural Heritage (10.1145/3431925)
Ding, W. et al., 2020. Human posture recognition based on multiple features and rule learning. International Journal of Machine Learning and Cybernetics 11 , pp.2529-2540. (10.1007/s13042-020-01138-y)
Dongyu, S. et al., 2020. WSCNet: Weakly Supervised Coupled Networks for Visual Sentiment Classification and Detection. IEEE Transactions on Multimedia 22 (5), pp.1358-1371. (10.1109/TMM.2019.2939744)
Du, X. et al., 2020. An efficient LSTM network for emotion recognition from multichannel EEG signals. IEEE Transactions on Affective Computing (10.1109/TAFFC.2020.3013711)
Dyke, R. M. et al. 2020. SHREC'20: Non-rigid shape correspondence of physically-based deformations. Presented at: Eurographics Workshop on 3D Object Retrieval Graz, Austria 4-5 September 2020.
Dyke, R. M. et al. 2020. SHREC'20: Shape correspondence with non-isometric deformations. Computers and Graphics 92 , pp.28-43. (10.1016/j.cag.2020.08.008)
Fan, L. 2020. Face sketch recognition using deep learning. PhD Thesis , Cardiff University.
Fan, L. , Liu, H. and Hou, Y. 2020. 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). , pp.-. (10.1109/ICMLC48188.2019.8949231)
Finnegan, D. , De Angeli, D. and Scott, L. 2020. Sacred springs: teaching children local history via a game jam. Presented at: World's Most Inclusive Participatory Design Project London, England June 2020. Proceedings of the World's Most Inclusive Participatory Design Project Workshop.
Fitton, I. , Finnegan, D. J. and Proulx, M. 2020. Immersive virtual environments and embodied agents for e-learning applications. PeerJ Computer Science 6 e315. (10.7717/peerj-cs.315)
Gao, L. et al., 2020. PRS-Net: planar reflective symmetry detection net for 3D models. IEEE Transactions on Visualization and Computer Graphics (10.1109/TVCG.2020.3003823)
Gardner, R. , Reinecke, P. and Wolter, K. 2020. Performance of tip selection schemes in DAG blockchains. Presented at: MARBLE 2019 Santorini, Greece 6-9 May 2019. Mathematical Research for Blockchain Economy. Springer. , pp.-. (10.1007/978-3-030-37110-4_8)
Gill, S. S. et al., 2020. ThermoSim: deep learning based framework for modeling and simulation of thermal-aware resource management for cloud computing environments. Journal of Systems and Software 166 110596. (10.1016/j.jss.2020.110596)
Gogacz, T. et al., 2020. On finite entailment of non-local queries in description logics. Presented at: 17th International Conference on Principles of Knowledge Representation and Reasoning (KR 2020) Rhodes, Greece 12-18 September 2020.
Gogacz, T. et al., 2020. Ontology focusing: knowledge-enriched databases on demand. Presented at: 24th European Conference on Artificial Intelligence (ECAI 2020) Santiago de Compostela, Spain 8/06/2020 -12/06/2020. , pp.-.
Golec, M. et al., 2020. BioSec: A biometric authentication framework for secure and private communication among edge devices in IoT and industry 4.0. IEEE Consumer Electronics Magazine (10.1109/MCE.2020.3038040)
Goncalves, D. et al., 2020. Dynamic network slicing in fog computing for mobile users in MobFogSim. Presented at: IEEE/ACM 13th International Conference on Utility and Cloud Computing (UCC 2020) Leicester, England 7-10 December 2020. 2020 IEEE/ACM 13th International Conference on Utility and Cloud Computing (UCC). IEEE. , pp.237-246. (10.1109/UCC48980.2020.00042)
Gu, K. et al., 2020. Multiscale natural scene statistical analysis for no-reference quality evaluation of DIBR-synthesized views. IEEE Transactions on Broadcasting 66 (1), pp.127-139. (10.1109/TBC.2019.2906768)
Guo, P. et al., 2020. 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)
Guo, P. et al., 2020. Multi-scale enhancement fusion for underwater sea cucumber images based on human visual system modelling. Computers and Electronics in Agriculture 175 105608. (10.1016/j.compag.2020.105608)
Han, L. et al., 2020. IEEE Access special section editorial: scalable deep learning for big data. IEEE Access 8 , pp.216617 - 216622. (10.1109/ACCESS.2020.3041166)
Hardisty, A. et al. 2020. Costbook of the digitisation infrastructure of DiSSCo. Research Ideas and Outcomes 6 e58915. (10.3897/rio.6.e58915)
Hardisty, A. et al. 2020. Conceptual design blueprint for the DiSSCo digitization infrastructure - DELIVERABLE D8.1. Research Ideas and Outcomes 6 e54280. (10.3897/rio.6.e54280)
Hartley, T. et al. 2020. SWAG: Superpixels weighted by average gradients for explanations of CNNs. Presented at: Winter Conference on Applications of Computer Vision (WACV 2021) Online 5-9 January 2021.
Haston, E. M. and Hardisty, A. 2020. An introduction to the Minimum Information about a Digital Specimen (MIDS) digitisation standard.. Presented at: TDWG 2020 Annual Conference Virtual 21-25 September, 19-23 October 2020. Vol. 4., pp.e59214. (10.3897/biss.4.59214)
Hee Lee, J. et al., 2020. Capturing word order in averaging based sentence embeddings. Presented at: European Conference on Artificial Intelligence (ECAI2020) Santiago de Compostela, Spain 29 August - 2 September.
Hsu, C. , Parashar, M. and Rana, O. 2020. Guest editorial: special section on advances of utility and cloud computing technologies and services. IEEE Transactions on Cloud Computing 8 (4), pp.972-974. (10.1109/TCC.2019.2936075)
Htike, H. M. 2020. Utilizing AR glasses as mobility aid for people with low vision. Presented at: IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR 2020) Atlanta, GA, USA 22-26 March 2020. 2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW). USA: IEEE. , pp.541-542. (10.1109/VRW50115.2020.00122)
Htike, H. M. et al. 2020. Ability of head-mounted display technology to improve mobility in people with low vision: a systematic review. Translational Vision Science & Technology 9 (10) 26. (10.1167/tvst.9.10.26)
Hu, F. et al. 2020. Feature-level data fusion for energy consumption analytics in additive manufacturing. Presented at: 2020 IEEE 16th International Conference on Automation Science and Engineering (CASE) Virtual 20-24 August 2020. 2020 IEEE 16th International Conference on Automation Science and Engineering (CASE). IEEE. , pp.612-617. (10.1109/CASE48305.2020.9216947)
Hu, S. , Cai, J. and Lai, Y. 2020. Semantic labeling and instance segmentation of 3D point clouds using patch context analysis and multiscale processing. IEEE Transactions on Visualization and Computer Graphics 26 (7), pp.2485-2498. (10.1109/TVCG.2018.2889944)
Hunter, A. , Polberg, S. and Thimm, M. 2020. Epistemic graphs for representing and reasoning with positive and negative influences of arguments. Artificial Intelligence 281 103236. (10.1016/j.artint.2020.103236)
Ibanez Garcia, Y. , Gutierrez Basulto, V. and Schockaert, S. 2020. Plausible reasoning about EL-Ontologies using concept interpolation. Presented at: 17th International Conference on Principles of Knowledge Representation and Reasoning (KR 2020) Rhodes, Greece 12-18 September 2020.
Ibanez Garcia, Y. , Ortiz, M. and Andresel, M. 2020. A framework for exploratory query answering with ontologies. Presented at: 33rd International Workshop on Description Logics 2020 Rhodes, Greece 12-14 September 2020.
Islam, S. et al., 2020. Incorporating RDA outputs in the design of a European Research Infrastructure for natural science collections. Data Science Journal 19 (50), pp.1-14. (10.5334/dsj-2020-050)
Ito, T. et al., 2020. Learning company embeddings from annual reports for fine-grained industry characterization. Presented at: FinNLP-2020 @ IJCAI-PRICAI 2020: The Second Workshop on Financial Technology and Natural Language Processing Yokohama, Japan 11-13 July 2020.
Javed, A. et al. 2020. Emotions behind drive-by download propagation on Twitter. ACM Transactions on the Web 14 (4) 16. (10.1145/3408894)
Javed, A. et al. 2020. Security analytics for real-time forecasting of cyberattacks. Software: Practice and Experience (10.1002/spe.2822)
Jeawak, S. , Espinosa-Anke, L. and Schockaert, S. 2020. Cardiff University at SemEval-2020 Task 6: fine-tuning BERT for domain-specific definition classification. Presented at: International Workshop on Semantic Evaluation (SemEval 2020) Barcelona, Spain 12-13 December 2020.
Jeawak, S. , Jones, C. and Schockaert, S. 2020. Predicting environmental features by learning spatiotemporal embeddings from social media. Ecological Informatics 55 101031. (10.1016/j.ecoinf.2019.101031)
Jeawak, S. S. , Jones, C. B. and Schockaert, S. 2020. Predicting the environment from social media: a collective classification approach. Computers, Environment and Urban Systems 82 (10.1016/j.compenvurbsys.2020.101487)
Jiang, L. , Zhang, J. and Deng, B. 2020. Robust RGB-D face recognition using attribute-aware loss. IEEE Transactions on Pattern Analysis and Machine Intelligence 42 (10), pp.2552-2566. (10.1109/TPAMI.2019.2919284)
Jones, L. and Perera, C. 2020. PizzaBox: studying physical object manipulation based fast food ordering. Presented at: Ubicomp 2020 Virtual 12-16 September 2020. Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers (UbiComp/ISWC '20 Adjunct). ACM(10.1145/3410530.3414376)
Juj, K. and Perera, C. 2020. Exploring the suitability of BLE veacons to track poacher vehicles in harsh jungle terrains. Presented at: 6th IEEE World Forum on Internet of Things (WF-IoT 2020) Virtual August, September 2020.
Kheiri, A. et al., 2020. Exact and hyper-heuristic solutions for the distribution-installation problem from the VeRoLog 2019 challenge. Networks 76 (2), pp.294-319. (10.1002/net.21962)
Knight, D. et al. 2020. Developing computational infrastructure for the CorCenCC corpus - the National Corpus of Contemporary Welsh. Language Resources and Evaluation (10.1007/s10579-020-09501-9)
Knight, D. et al. 2020. The national corpus of contemporary Welsh: project report | Y corpws cenedlaethol Cymraeg cyfoes: adroddiad y prosiect.. Project Report.CorCenCC
Langenfeld, F. et al., 2020. SHREC2020 track: multi-domain protein shape retrieval challenge. Computers and Graphics 91 , pp.189-198. (10.1016/j.cag.2020.07.013)
Lannom, L. , Koureas, D. and Hardisty, A. 2020. FAIR data and services in biodiversity science and geoscience. Data Intelligence 2 (1-2), pp.122-130. (10.1162/dint_a_00034)
Lévêque, L. et al., 2020. CUID: a new study of perceived image quality and its subjective assessment. Presented at: 27th IEEE International Conference on Image Processing (ICIP 2020) United Arab Emirates 25-28 October 2020.
Lévêque, L. , Young, P. and Liu, H. 2020. Studying the gaze patterns of expert radiologists in screening mammography: a case study with Breast Test Wales. Presented at: 28th European Signal Processing Conference (EUSIPCO 2020) Amsterdam, Netherlands 18-22 Janurary 2021.
Li, K. et al., 2020. PoNA: Pose-guided non-local attention for human pose transfer. IEEE Transactions on Image Processing 29 , pp.9584-9599. (10.1109/TIP.2020.3029455)
Li, T. , Feng, C. and Hankin, C. 2020. Scalable approach to enhancing ICS resilience by network diversity. Presented at: The 50th IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2020) València, Spain 29 June - 02 July 2020.
Liberatore, F. , Camacho-Collados, M. and Vitoriano, B. 2020. Police districting problem: literature review and annotated bibliography. In: Rios-Mercado, R. Z. ed. Optimal Districting and Territory Design. Vol. 284, International Series in Operations Research & Management Science Kluwer Academic Publishers. , pp.9-29. (10.1007/978-3-030-34312-5_2)
Liu, F. et al., 2020. SceneSketcher: fine-grained image retrieval with scene sketches. Presented at: 2020 European Conference on Computer Vision (ECCV) Glasgow, Scotland 23-28 August 2020.
Liu, H. et al. 2020. Scmhl5 at TRAC-2 shared task on aggression identification: bert based ensemble learning approach. Presented at: Second Workshop on Trolling, Aggression and Cyberbullying Marseille, France 16 May 2020.
Liu, H. and Chen, S. 2020. Heuristic creation of deep rule ensemble through iterative expansion of feature space. Information Sciences 520 , pp.195-208. (https://doi.org/10.1016/j.ins.2020.02.001)
Liu, H. and Chen, S. 2020. 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. 2020. 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. (10.1109/ICMLC48188.2019.8949292)
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