Publications
Explore our publications to discover how we're addressing some of the most significant research themes in computer science and informatics.
Many of our researchers make their full text freely available to view and share, supporting research innovation on a global scale.
Recent publications
- 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)
- 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 1800261. (10.1002/bies.201800261)
- 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)
- 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)
- 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)
- 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. 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)
- Barhamgi, M. et al., 2020. Privacy in data service composition. IEEE Transactions on Services Computing
- 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
- 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.-.
- 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)
- Camacho Collados, J. et al. 2020. Learning cross-lingual word embeddings from Twitter via distant supervision. ICWSM
- Cao, K. et al., 2020. Analyzing the noise robustness of deep neural networks. IEEE Transactions on Visualization and Computer Graphics , pp.1. (10.1109/TVCG.2020.2969185)
- Chen, C. et al. 2020. Predictive maintenance using cox proportional hazard deep learning. Advanced Engineering Informatics 44 101054. (10.1016/j.aei.2020.101054)
- 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.-.
- 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)
- 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)
- 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.-.
- 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)
- 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)
- Javed, A. et al. 2020. Security analytics for real-time forecasting of cyberattacks. Software: Practice and Experience
- 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)
- 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)
- 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, 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)
- Mavri, A. , Ioannou, A. and Loizides, F. 2020. The Assessment Scale for Creative Collaboration (ASCC) Validation and Reliability Study. International Journal of Human-Computer Interaction (10.1080/10447318.2019.1709338)
- Meyer, J. et al., 2020. A life of data: Characteristics and challenges of very long term self-tracking for health and wellness. ACM Transactions on Computing for Healthcare 1 (2), pp.-. 11. (10.1145/3373719)
- Mumford, C. et al. 2020. Footfall signatures and volumes: Towards a classification of UK centres. Environment and Planning B: Urban Analytics and City Science (10.1177/2399808320911412)
- Nieva de la Hidalga, A. et al. 2020. Designing an herbarium digitisation workflow with built-in image quality management. Biodiversity Data Journal 8 e47051. (10.3897/BDJ.8.e47051)
- Poularakis, K. et al., 2020. Service placement and request routing in MEC networks with storage, computation, and communication constraints. IEEE/ACM Transactions on Networking
- Puliafito, C. et al., 2020. MobFogSim: Simulation of mobility and migration for fog computing. Simulation Modelling Practice and Theory 101 102062. (10.1016/j.simpat.2019.102062)
- Ranjan, R. et al., 2020. Software tools and techniques for fog and edge computing [Editorial]. Software: Practice and Experience , pp.-. (10.1002/spe.2813)
- Seifikar, M. , Farzi, S. and Barati, M. 2020. C-blondel: an efficient louvain-based dynamic community detection algorithm. IEEE Transactions on Computational Social Systems (10.1109/TCSS.2020.2964197)
- Singleton, J. and Booth, R. 2020. An axiomatic approach to truth discovery. Presented at: Nineteenth International Conference on Autonomous Agents and Multi-Agent Systems Auckland, New Zealand 9-13 Mar 2020. , pp.-.
- Spasic, I. and Nenadic, G. 2020. Clinical text data in machine learning: Systematic review. JMIR Medical Informatics
- Spasic, I. , Uzuner, Ö. and Zhou, L. 2020. Emerging clinical applications of text analytics. International Journal of Medical Informatics 134 103974. (10.1016/j.ijmedinf.2019.103974)
- Taherkhani, A. et al., 2020. A review of learning in biologically plausible spiking neural networks. Neural Networks 122 , pp.253-272. (10.1016/j.neunet.2019.09.036)
- Theodorakopoulos, G. et al. 2020. On-the-fly privacy for location histograms. IEEE Transactions on Dependable and Secure Computing
- Tomsett, R. et al., 2020. Sanity checks for saliency metrics. Presented at: AAAI-20: 34th AAAI Conference on Artificial Intelligence New York City, NY, USA 7-12 February 2020.
- Tsamoura, E. , Gutierrez Basulto, V. and Kimmig, A. 2020. Beyond the grounding bottleneck: Datalog techniques for inference in probabilistic logic programs. Presented at: Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20) New York City, NY, USA 7-12 February 2020.
- Williams, M. L. et al. 2020. Hate in the machine: Anti-black and anti-Muslim social media posts as predictors of offline racially and religiously aggravated crime. British Journal of Criminology 60 (1), pp.93-117. (10.1093/bjc/azz049)
- Xia, Z. et al., 2020. Towards accurate quality estimation of screen content pictures with very sparse reference information. IEEE Transactions on Industrial Electronics 37 (3), pp.2251-2261. (10.1109/TIE.2019.2905831)
- Xiang, S. et al., 2020. 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)
- Xu, Y. and Huang, Y. 2020. Segment blockchain: a size reduced storage mechanism for blockchain. IEEE Access 8 , pp.17434-17441. (10.1109/ACCESS.2020.2966464)
- Xu, Y. , Huang, Y. and Shao, J. 2020. Anchoring the value of cryptocurrency. Presented at: IWBOSE 2020: 3rd International Workshop on Blockchain Oriented Software Engineering London, Canada February 18, 2020.
- Xu, Y. et al. 2020. A flexible n/2 adversary node resistant and halting recoverable blockchain sharding protocol. Concurrency and Computation: Practice and Experience
- Xu, Y. et al. 2020. A flexible n/2 adversary node resistant and halting recoverable blockchain sharding protocol. Concurrency and Computation: Practice and Experience
- Xu, Z. et al., 2020. NFV-enabled IoT service provisioning in mobile edge clouds. IEEE Transactions on Mobile Computing (10.1109/TMC.2020.2972530)
- Yuan, T. et al., 2020. 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). (10.1109/ICMLC48188.2019.8949286)
- Zamani, A. R. et al., 2020. Deadline constrained video analysis via in-transit computational environments. IEEE Transactions on Services Computing 13 (1), pp.59-72. (10.1109/TSC.2017.2653116)
- Zhang, Y. et al., 2020. 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). (10.1109/ICMLC48188.2019.8949324)
- Zhang, Y. , Lai, Y. and Zhang, F. 2020. Content-preserving image stitching with piecewise rectangular boundary constraints. IEEE Transactions on Visualization and Computer Graphics
- Zhu, Z. et al., 2020. A metric for video blending quality assessment. IEEE Transactions on Image Processing 29 (1), pp.3014-3022. (10.1109/TIP.2019.2955294)
- Zunic, A. , Corcoran, P. and Spasic, I. 2020. Improving the performance of sentiment analysis in health and wellbeing using domain knowledge. Presented at: the Third UK Healthcare Text Analytics Conference (HealTAC) London, UK 22-24 April 2020. , pp.-.
- Zunic, A. , Corcoran, P. and Spasic, I. 2020. Sentiment analysis in health and wellbeing: A systematic review. JMIR Medical Informatics 8 (1) e16023. (10.2196/16023)
All of our publications can be browsed in Cardiff University's institutional repository.
