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)
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)
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.
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 (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)
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.
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. 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)
Barhamgi, M. et al., 2020. Privacy in data service composition. IEEE Transactions on Services Computing
Bedewi, W. et al. 2020. The implications of shared identity on indirect reciprocity. Journal of Information and Telecommunication (10.1080/24751839.2020.1741858)
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)
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.-.
Brown, B. M. et al. 2020. Gap localization of multiple TE‐Modes by arbitrarily weak defects. Journal of the London Mathematical Society (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)
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. ICWSM
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.
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)
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)
Corcoran, P. 2020. An end-to-end graph convolutional kernel support vector machine. Applied Network Science
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
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.-.
Ding, W. et al., 2020. Human posture recognition based on multiple features and rule learning. International Journal of Machine Learning and Cybernetics (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)
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.
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.-.
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)
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)
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.
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.
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.
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
Javed, A. et al. 2020. Security analytics for real-time forecasting of cyberattacks. Software: Practice and Experience (10.1002/spe.2822)
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)
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)
Kheiri, A. et al., 2020. Exact and hyper-heuristic solutions for the distribution-installation problem from the VeRoLog 2019 challenge. Networks (10.1002/net.21962)
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, 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)
Loukides, G. and Theodorakopoulos, G. 2020. Location histogram privacy by sensitive location hiding and target histogram avoidance/resemblance. Knowledge and Information Systems 62 , pp.2613-2651. (10.1007/s10115-019-01432-4)
Magagna, B. et al., Zhao, Z. ed. 2020. Common challenges and requirements. Springer Verlag. (10.1007/978-3-030-52829-4_3)
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 36 (11), pp.1056-1069. (10.1080/10447318.2019.1709338)
Mavri, A. , Ioannou, A. and Loizides, F. 2020. A cross-organizational ecology for virtual communities of practice in higher education. International Journal of Human-Computer Interaction 36 (6), pp.553-567. (10.1080/10447318.2019.1664067)
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)
Monzón, J. , Liberatore, F. and Vitoriano, B. 2020. A mathematical pre-disaster model with uncertainty and multiple criteria for facility location and network fortification. Mathematics 8 (4) 529. (10.3390/math8040529)
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. The ENVRI reference model. In: Zhao, Z. and Hellström, M. eds. Towards Interoperable Research Infrastructures for Environmental and Earth Sciences - A Reference Model Guided Approach for Common Challenges. Lecture Notes in Computer Science Vol. 12003.Cham, Switzerland: Springer Professional. , pp.61-81.
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)
Ouyang, W. et al., 2020. Anderson acceleration for nonconvex ADMM based on Douglas-Rachford splitting. Computer Graphics Forum
Owen, D. et al. 2020. Towards a scientific workflow featuring Natural Language Processing for the digitisation of natural history collections. Research Ideas and Outcomes 6 e55789. (10.3897/rio.6.e55789)
Ozalp, S. et al. 2020. Antisemitism on twitter: collective efficacy and the role of community organisations in challenging online hate speech. Social Media and Society 6 (2), pp.1-20. (10.1177/2056305120916850)
Poularakis, K. et al., 2020. Service placement and request routing in MEC networks with storage, computation, and communication constraints. IEEE/ACM Transactions on Networking (10.1109/TNET.2020.2980175)
Pratomo, B. , Burnap, P. and Theodorakopoulos, G. 2020. BLATTA: early exploit setection on network traffic with recurrent neural networks. Security and Communication Networks 8826038. (10.1155/2020/8826038)
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)
Qamar, I. P. et al., 2020. Morphino: a nature-inspired tool for the design of shape-changing interfaces. Presented at: ACM Conference on Designing Interactive Systems (DIS 2020) Online 6-20 July 2020. DIS '20: Proceedings of the 2020 on Designing Interactive Systems Conference. ACM(10.1145/3357236.3395453)
Qin, Y. , Mitra, N. and Wonka, P. 2020. How does Lipschitz regularization influence GAN training?. Presented at: 16th European Conference on Computer Vision (ECCV 2020) Glasgow, Scotland 23-28 August 2020.
Qin, Y. et al., 2020. Enabling multicast slices in edge networks. IEEE Internet of Things (10.1109/JIOT.2020.2991107)
Radanliev, P. et al., 2020. Cyber risk at the edge: current and future trends on cyber risk analytics and artificial intelligence in the industrial internet of things and industry 4.0 supply chains. Cybersecurity 3 13. (10.1186/s42400-020-00052-8)
Ranjan, R. et al., 2020. Software tools and techniques for fog and edge computing [Editorial]. Software: Practice and Experience 50 (5), pp.473-475. (10.1002/spe.2813)
Ren, H. et al., 2020. Efficient algorithms for delay-aware NFV-Enabled multicasting in mobile edge clouds with resource sharing. IEEE Transactions on Parallel and Distributed Systems 31 (9), pp.2050-2066. (10.1109/TPDS.2020.2983918)
Saxena, N. et al. 2020. PharmaCrypt: blockchain for critical pharmaceutical industry to counterfeit drugs. Computer (10.1109/MC.2020.2989238)
Saxena, N. et al. 2020. Introduction to the special issue on user-centric security and safety for CPS [Editorial]. ACM Transactions on Cyber-Physical Systems 4 (3) 29. (10.1145/3392715)
Saxena, N. et al. 2020. BVPSMS: A batch verification protocol for end-to-end secure SMS for mobile users. IEEE Transactions on Dependable and Secure Computing 17 (3), pp.550-565. (10.1109/TDSC.2018.2799223)
Seifikar, M. , Farzi, S. and Barati, M. 2020. C-blondel: an efficient louvain-based dynamic community detection algorithm. IEEE Transactions on Computational Social Systems 7 (2), pp.308-318. (10.1109/TCSS.2020.2964197)
Setchi, R. and Spasic, I. 2020. AI-assisted patent prior art searching - feasibility study.
Simpkin, C. et al. 2020. Efficient orchestration of Node-RED IoT workflows using a vector symbolic architecture. Future Generation Computer Systems 111 , pp.117-131. (10.1016/j.future.2020.04.005)
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.-.
Song, R. , Liu, Y. and Rosin, P. L. 2020. Distinction of 3D objects and scenes via classification network and Markov random field. IEEE Transactions on Visualization and Computer Graphics 26 (6)(10.1109/TVCG.2018.2885750)
Spasic, I. and Nenadic, G. 2020. Clinical text data in machine learning: Systematic review. JMIR Medical Informatics 8 (3) e17984. (10.2196/17984)
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)
Spasic, I. , Williams, L. and Buerki, A. 2020. Idiom–based features in sentiment analysis: Cutting the Gordian knot. IEEE Transactions on Affective Computing 11 (2), pp.189-199. (10.1109/TAFFC.2017.2777842)
Stawarz, K. et al. 2020. What influences the selection of contextual cues when starting a new routine behaviour? an exploratory study. BMC Psychology 8 (1) 29. (10.1186/s40359-020-0394-9)
Stawarz, K. et al. 2020. Integrating the digital and the traditional to deliver therapy for depression: lessons from a pragmatic study. Presented at: CHI Conference on Human Factors in Computing Systems Honolulu, HI, USA 25-30 April 2020. CHI '20: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. New York: ACM. , pp.1-14. (10.1145/3313831.3376510)
Svatoš, M. et al., 2020. STRiKE: Rule-driven relational learning using stratified k-entailment. Presented at: European Conference on Artificial Intelligence (ECAI2020) Santiago de Compostela, Spain 29 August - 2 September.
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.
Tung, Y. et al., 2020. Counteracting UDP flooding attacks in SDN. Electronics 9 (8) 1239. (10.3390/electronics9081239)
Wang, X. et al., 2020. Lightweight photometric stereo for facial details recovery. Presented at: Conference on Computer Vision and Pattern Recognition (CVPR 2020) Seattle, Washington, USA 16-18 June 2020. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE
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)
Xiao, Y. et al., 2020. A survey on deep geometry learning: from a representation perspective. Computational Visual Media 6 (2), pp.113-133. (10.1007/s41095-020-0174-8)
Xie, Q. et al., 2020. MLCVNet: multi-level context VoteNet for 3D object detection. Presented at: Conference on Computer Vision and Pattern Recognition (CVPR 2020) Seattle, Washington, USA 16-18 June 2020.
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 18 February 2020. 2020 IEEE International Workshop on Blockchain Oriented Software Engineering (IWBOSE). IEEE. , pp.30-36. (10.1109/IWBOSE50093.2020.9050264)
Xu, Y. et al. 2020. A flexible n/2 adversary node resistant and halting recoverable blockchain sharding protocol. Concurrency and Computation: Practice and Experience e5773. (10.1002/cpe.5773)
Xu, Z. et al., 2020. NFV-enabled IoT service provisioning in mobile edge clouds. IEEE Transactions on Mobile Computing (10.1109/TMC.2020.2972530)
Xu, Z. et al., 2020. QoS-aware VNF placement and service chaining for IoT applications in multi-tier mobile edge networks. ACM Transactions on Sensor Networks 16 (3) 23. (10.1145/3387705)
Yang, J. et al., 2020. Spatio-temporal reconstruction for 3D motion recovery. IEEE Transactions on Circuits and Systems for Video Technology 30 (6), pp.1583 -1596. (10.1109/TCSVT.2019.2907324)
Yang, J. et al., 2020. Learning to reconstruct and understand indoor scenes from sparse views. IEEE Transactions on Image Processing 29 , pp.5753 -5766. (10.1109/TIP.2020.2986712)
Yang, J. et al., 2020. Subspace clustering via good neighbors. IEEE Transactions on Pattern Analysis and Machine Intelligence 42 (6), pp.1537-1544. (10.1109/TPAMI.2019.2913863)
Yang, S. et al., 2020. Noise-resilient reconstruction of panoramas and 3D scenes using robot-mounted unsynchronized commodity RGB-D cameras. ACM Transactions on Graphics
Yang, X. , Li, F. and Liu, H. 2020. Deep feature importance awareness based no-reference image quality prediction. Neurocomputing 401 , pp.209-223. (10.1016/j.neucom.2020.03.072)
Yao, Y. et al., 2020. Quasi-newton solver for robust non-rigid registration. Presented at: Conference on Computer Vision and Pattern Recognition (CVPR 2020) Seattle, Washington, USA 16-18 June 2020. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE
Yi, R. et al., 2020. Unpaired portrait drawing generation via asymmetric cycle mapping. Presented at: Conference on Computer Vision and Pattern Recognition (CVPR) Seattle, Washington, USA 16-18 June 2020.
Yi, R. et al., 2020. Line drawings for face portraits from photos using global and local structure based GANs. IEEE Transactions on Pattern Analysis and Machine Intelligence
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