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

Abbas, H. et al. 2018. A 3D morphometric perspective for facial gender analysis and classification using geodesic path curvature features. Computational Visual Media 4 (1), pp.17-32. (10.1007/s41095-017-0097-1)
Abbott, B. et al., 2018. Search for Tensor, Vector, and Scalar Polarizations in the Stochastic Gravitational-Wave Background. Physical Review Letters 120 (20) 201102. (10.1103/PhysRevLett.120.201102)
Abdelmoty, A. 2018. Towards modelling privacy risks in geo-social networks. Presented at: The Tenth International Conference on Advanced Geographic Information Systems, Applications, and Services Rome, Italy 25 - 29 March 2018. GEOProcessing 2018: The 10th International Conference on Advanced Geographic Information Systems, Applications, and Services.
Ager, T. , Kuzelka, O. and Schockaert, S. 2018. Modelling salient features as directions in fine-tuned semantic spaces. Presented at: SIGNLL Conference on Computational Natural Language Learning Brussels, Belgium 31 Oct - 1 Nov 2018.
Ahmed, L. , Mumford, C. and Kheiri, A. 2018. Solving urban transit route design problem using selection hyper-heuristics. European Journal of Operational Research (10.1016/j.ejor.2018.10.022)
Ahmed, U. et al. 2018. Risk-based service selection in federated clouds. Presented at: IEEE/ACM 11th International Conference on Utility and Cloud Computing (UCC) Zurich, Switzerland 17-20 Dec 2018. 2018 IEEE/ACM International Conference on Utility and Cloud Computing Companion (UCC Companion). IEEE. , pp.77-82. (10.1109/UCC-Companion.2018.00038)
Akkuzu, G. , Aziz, B. and Liu, H. 2018. Feature analysis on the containment time for cyber security incidents. Presented at: International Conference on Machine Learning and Cybernetics (ICMLC 2018) Chengdu, China 15-18 July 2018.
Ali, M. et al., 2018. Edge enhanced deep learning system for large-scale video stream analytics. Presented at: 2018 IEEE 2nd International Conference on Fog and Edge Computing (ICFEC) Washington DC, USA 1-3 May 2018. Fog and Edge Computing (ICFEC), 2018 IEEE 2nd International Conference on. IEEE(10.1109/CFEC.2018.8358733)
Alorainy, W. et al. 2018. Suspended accounts: A source of Tweets with disgust and anger emotions for augmenting hate speech data sample. Presented at: International Conference on Machine Learning and Cybernetics Chengdu, China 15-18 July 2018.
Alrehamy, H. and Walker, C. 2018. Exploiting extensible background knowledge for clustering-based automatic keyphrase extraction. Soft Computing - A Fusion of Foundations, Methodologies and Applications 22 (21), pp.7041-7057. (10.1007/s00500-018-3414-4)
Alrehamy, H. and Walker, C. 2018. SemLinker: automating big data integration for casual users. Journal of Big Data 5 (1) 14. (10.1186/s40537-018-0123-x)
Alsufyani, A. et al., 2018. Breakthrough percepts of famous faces. Psycophysiology (10.1111/psyp.13279)
Anthi, E. et al. 2018. EclipseIoT: A secure and adaptive hub for the Internet of Things. Computers and Security 78 , pp.477-490. (10.1016/j.cose.2018.07.016)
Antonini, M. et al., 2018. Smart audio sensors in the internet of things edge for anomaly detection. IEEE Access (10.1109/ACCESS.2018.2877523)
Bannister, C. et al. 2018. A genetic programming approach to development of clinical prediction models: A case study in symptomatic cardiovascular disease. PLOS One 13 (9) e0202685. (10.1371/journal.pone.0202685)
Barbieri, F. and Camacho-Collados, J. 2018. How Gender and Skin Tone Modifiers Affect Emoji Semantics in Twitter. Presented at: 7th Conference on Lexical and Computational Semantics (*SEM 2018) New Orleans, Louisiana 5-6 June 2018. Proceedings of the 7th Joint Conference on Lexical and Computational Semantics (*SEM). Stroudsburg, PA: The Association for Computational Linguistics. , pp.101-106. (10.18653/v1/S18-2011)
Barbieri, F. et al., 2018. Interpretable Emoji prediction via label-wise attention LSTM's. Presented at: Conference on Empirical Methods in Natural Language Processing Brussels 31 October-4 November.
Barclay, I. , Preece, A. and Taylor, I. 2018. Defining the collective intelligence supply chain. Presented at: AAAI FSS-18: Artificial Intelligence in Government and Public Sector Arlington, WA, USA 18-21 October 2018.
Barhamgi, M. et al., 2018. User-centric privacy engineering for the internet of things. IEEE Cloud Computing 5 (5), pp.47-57. (10.1109/MCC.2018.053711666)
Belal, S. et al. 2018. Identification of memory reactivation during sleep by EEG classification. NeuroImage 176 , pp.203-214. (10.1016/j.neuroimage.2018.04.029)
Bellamy, R. et al., 2018. A computational framework for modelling inter-group behaviour using psychological theory. Presented at: SPIE Defense + Security 2018 Orlando, FL, USA 15-18 April 2018. Proceedings Volume 10653, Next-Generation Analyst VI. Vol. 10653.International Society for Optics and Photonics. , pp.106530G. (10.1117/12.2309621)
Bittencourt, L. F. et al., 2018. The Internet of Things, fog and cloud continuum: Integration and challenges. Internet of Things
Booth, R. and Chandler, J. 2018. On strengthening the logic of iterated belief revision: Proper ordinal interval operators. Presented at: 16th International Conference on Principles of Knowledge Representation and Reasoning Tempe, AZ, USA 27 October - 2 November 2018.
Booth, R. and Hunter, A. 2018. Trust as a precursor to belief revision. Journal of Artificial Intelligence Research 61 , pp.699-722. (10.1613/jair.5521)
Bouraoui, Z. , Jameel, M. and Schockaert, S. 2018. Relation induction in word embeddings revisited. Presented at: 27th International Conference on Computational Linguistics (COLING 2018) Santa Fe, NM, USA 20-26 August 2018.
Bouraoui, Z. and Schockaert, S. 2018. Learning conceptual space representations of interrelated concepts. Presented at: 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI-18) Stockholm, Sweden 13-19 July 2018. Published in: Lang, J. ed. Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence Organization. , pp.1760-1766. (10.24963/ijcai.2018/243)
Braines, D. et al., 2018. The role of motifs in understanding behavior in social and engineered networks. Presented at: Next Generation Analyst IV at SPIE DSS Orlando, Florida 15-19 Apr 2018.
Braines, D. , Preece, A. and Harborne, D. 2018. Multimodal explanations for AI-based multisensor fusion. Presented at: NATO SET-262 RSM on artificial intelligence for military multisensor fusion engines Budapest 05-06 November 2018.
Brinckman, A. et al., 2018. Computing environments for reproducibility: Capturing the ‘‘Whole Tale’’. Future Generation Computer Systems (10.1016/j.future.2017.12.029)
Brinckman, A. et al., 2018. Collaborative circuit designs using the CRAFT repository. Future Generation Computer Systems (10.1016/j.future.2018.01.018)
Brown, B. M. , Langer, H. and Tretter, C. 2018. Compressed resolvents and reduction of spectral problems on star graphs. Complex Analysis and Operator Theory (10.1007%2Fs11785-018-0793-6)
Burnap, P. et al. 2018. Malware classification using self organising feature maps and machine activity data. Computers and Security 73 , pp.399-410. (10.1016/j.cose.2017.11.016)
Buyya, R. et al. 2018. A manifesto for future generation cloud computing. ACM Computing Surveys 51 (5)(10.1145/3241737)
Caminada, M. and Schulz, C. 2018. On the equivalence between assumption-based argumentation and logic programming (extended abstract). Presented at: IJCAI-ECAI-18 Stockholm 13-19 July 2018.
Cerutti, F. et al. 2018. Learning and reasoning in complex coalition information environments: a critical analysis. Presented at: Fusion 2018: 21st International Conference on Information Fusion Cambridge, UK 10-13 July 2018.
Cerutti, F. et al. 2018. Probabilistic logic programming with beta-distributed random variables. Presented at: AAAI-19: 33rd AAAI Conference on Artificial Intelligence Honolulu, HI, USA 27 January - 1 February 2019.
Cerutti, F. et al. 2018. CISpaces.org: from fact extraction to report generation. Presented at: COMMA 2018: 7th International Conference on Computational Models of Argument Warsaw, Poland 12-14 September 2018.
Cerutti, F. and Pearson, G. 2018. Supporting scientific enquiry with uncertain sources. Presented at: Fusion 2018: 21st International Conference on Information Fusion Cambridge, UK 10-13 July 2018.
Cerutti, F. and Thimm, M. 2018. A general approach to reasoning with probabilities (Extended Abstract). Presented at: KR 2018: 16th International Conference on Principles of Knowledge Representation and Reasoning Tempe, AZ, USA 27 October - 2 November 2018.
Cerutti, F. , Vallati, M. and Giacomin, M. 2018. On the impact of configuration on abstract argumentation automated reasoning. International Journal of Approximate Reasoning 92 , pp.120-138. (10.1016/j.ijar.2017.10.002)
Chen, Y. , Lai, Y. and Liu, Y. 2018. CartoonGAN: generative adversarial networks for photo cartoonization. Presented at: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Lake Salt City, USA 18-22 Jun 2018.
Cheng, M. et al., 2018. BING: Binarized normed gradients for objectness estimation at 300 frames per second. Computational Visual Media (10.1007/s41095-018-0120-1)
Chiroma, F. , Cocea, M. and Liu, H. 2018. Evaluation of rule-based learning and feature selection approaches for classification. OASIcs
Chiroma, F. , Liu, H. and Cocea, M. 2018. Suicide related text classification with prism algorithm. Presented at: International Conference on Machine Learning and Cybernetics (ICMLC 2018) Chengdu, China 15-18 July 2018.
Chiroma, F. , Liu, H. and Cocea, M. 2018. Text classification for suicide related tweets. Presented at: International Conference on Machine Learning and Cybernetics (ICMLC 2018) Chengdu, China 15-18 July 2018.
Corcoran, P. and Jones, C. 2018. Robust tracking of objects with dynamic topology. Presented at: ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems Seattle, Washington, USA 6-9 November 2018. ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. ACM. , pp.428-431. (10.1145/3274895.3274922)
Corcoran, P. and Jones, C. 2018. Stability and statistical inferences in the space of topological spatial relationships. IEEE Access 6 , pp.18907-18919. (10.1109/ACCESS.2018.2817493)
Corcoran, P. and Mooney, P. 2018. Digital earth. In: Warf, B. ed. The SAGE Encyclopedia of the Internet. Translated from the original by B. Warf SAGE Publications. , pp.233-234. (10.4135/9781473960367.n72)
Crossley, S. G. M. et al., 2018. Perceptions of visualising physical activity as a 3D-printed object: A formative study (Preprint). JMIR: Journal of Medical Internet Research 1 (1) e1. (10.2196/12064)
Crossley, S. G. M. et al., 2018. Understanding youth's ability to interpret 3D printed physical activity data and identify associated intensity levels (Preprint). JMIR (10.2196/11253)
De Clercq, S. et al., 2018. Modelling incomplete information in Boolean games using possibilistic logic. International Journal of Approximate Reasoning 93 , pp.1-23. (10.1016/j.ijar.2017.10.017)
De Ribaupierre, H. and Falquet, G. 2018. Extracting discourse elements and annotating scientific documents using the SciAnnotDoc model: a use case in gender documents. International Journal on Digital Libraries 19 (2-3), pp.271-286. (10.1007/s00799-017-0227-5)
De Ribaupierre, H. et al. 2018. Towards gender equality in software engineering: the NSA approach. Presented at: GE’18:IEEE/ACM 1st International Workshop on Gender Equality in Software Engineering Gothenburg, Sweden 28 May 2018. GE’18: GE’18:IEEE/ACM 1st International Workshop on Gender Equality in Software Engineering. New York: ACM(10.1145/3195570.3195579)
Ding, W. et al., 2018. An empirical study of shape recognition in ensemble learning context. Presented at: International Conference on Machine Learning and Cybernetics (ICMLC 2018) Chengdu, China 15-18 July 2018.
Doval, Y. et al., 2018. Improving cross-lingual word embeddings by meeting in the middle. Presented at: Conference on Empirical Methods in Natural Language Processing Brussels 31 October-4 November.
Espinosa-Anke, L. and Schockaert, S. 2018. SeVeN: Augmenting word embeddings with unsupervised relation vectors. Presented at: 27th International Conference on Computational Linguistics (COLING 2018) Santa Fe, NM, USA 20-26 August 2018.
Espinosa-Anke, L. and Schockaert, S. 2018. Syntactically aware neural architectures for definition extraction. Presented at: 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies New Orleans 1-6 June 2018.
Fahy, E. et al., 2018. LipidFinder on LIPID MAPS: peak filtering, MS searching and statistical analysis for lipidomics. Bioinformatics bty679. (10.1093/bioinformatics/bty679)
Farnell, D. et al. 2018. What's in a smile? Initial analyses of dynamic changes in facial shape and appearance. Journal of Imaging 5 (1) 2. (10.3390/jimaging5010002)
Fizza, K. et al., 2018. PASHE: Privacy Aware Scheduling in a Heterogeneous Fog Environment. Presented at: IEEE 6th International Conference on Future Internet of Things and Cloud Barcelona, Spain 6-8 August 2018.
Gagarin, A. and Corcoran, P. 2018. Multiple domination models for placement of electric vehicle charging stations in road networks. Computers and Operations Research 96 , pp.69-79. (10.1016/j.cor.2018.03.014)
Gao, L. et al., 2018. Automatic unpaired shape deformation transfer. ACM Transactions on Graphics 37 (6), pp.1-15. 237. (10.1145/3272127.3275028)
Gartner, D. , Zhang, Y. and Padman, R. 2018. Reducing clinical workload in the care prescription process: Optimization of order sets. IMA Journal of Management Mathematics
Gutierrez Basulto, V. , Ibanez-Garcia, Y. and Jung, J. C. 2018. Answering regular path queries over SQ ontologies. Presented at: Thirty-Second AAAI Conference on Artificial Intelligence New Orleans, Louisiana, USA 2-7 February 2018. Thirty-Second AAAI Conference on Artificial Intelligence. AAAI Publications
Gutierrez Basulto, V. , Jung, J. C. and Kuzelka, O. 2018. Quantified Markov logic networks. Presented at: 16th International Conference on Principles of Knowledge Representation and Reasoning (KR-18) Tempe, Arizona, USA 30 October-2 November 2018. International Conference on Principles of Knowledge Representation and Reasoning.
Gutierrez Basulto, V. , Jung, J. C. and Sabellek, L. 2018. Reverse engineering queries in ontology-enriched systems: the case of expressive horn description logic ontologies. Presented at: IJCAI-ECAI 2018 Stockholm, Sweden 13-19 July 2018.
Gutierrez Basulto, V. and Schockaert, S. 2018. From knowledge graph embedding to ontology embedding? An analysis of the compatibility between vector space representations and rules. Presented at: 16th International Conference on Principles of Knowledge Representation and Reasoning Tempe, Arizona 27 Oct - 2 Nov 2018.
Han, Y. et al., 2018. CFD: a collaborative feature difference method for spontaneous micro-expression spotting. Presented at: IEEE International Conference on Image Processing Athens, Greece 7-10 October 2018. IEEE Xplore.
Hannah, C. , Spasic, I. and Corcoran, P. 2018. A computational model of pedestrian road safety: the long way round is the safe way home. Accident Analysis & Prevention 121 , pp.347-357. (10.1016/j.aap.2018.06.004)
Hannah, C. , Spasic, I. and Corcoran, P. 2018. Modelling pedestrian safety with respect to road traffic crashes by estimating the safety of paths. Presented at: GIScience Research UK Conference Leicester, England 18-20 April 2018.
Harborne, D. et al. 2018. Conversational control interface to facilitate situational understanding in a city surveillance setting. Presented at: The fourth Linguistic and Cognitive Approaches to Dialog Agents Workshop (LACATODA 2018) Stockholm, Sweden 13 Jul 2018.
Harborne, D. et al. 2018. Reasoning and learning services for coalition situational understanding. Presented at: Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR IX (SPIE Defense and Commercial Sensing Conference 10635) Orlando, USA 16-18 April 2018. Published in: Kolodny, M. A. , Wiegmann, D. M. and Pham, T. eds. Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR IX. SPIE(10.1117/12.2307009)
Harborne, D. et al. 2018. Integrating learning and reasoning services for explainable information fusion. Presented at: ICPRAI 2018 - International Conference on Pattern Recognition and Artificial Intelligence Montreal, Canada 14-17 May 2018.
Hardisty, A. et al. 2018. Research infrastructure challenges in preparing essential biodiversity variables data products for alien invasive species. Environmental Research Letters (10.1088/1748-9326/aaf5db)
Hu, S. , Cai, J. and Lai, Y. 2018. Semantic labeling and instance segmentation of 3D point clouds using patch context analysis and multiscale processing. IEEE Transactions on Visualization and Computer Graphics (10.1109/TVCG.2018.2889944)
Innes, M. et al. 2018. Of instruments and data: Social media uses, abuses and analysis. In: The SAGE Handbook of Online Research Methods. Sage. , pp.108-124.
Ioannidis, K. et al., 2018. Problematic intemet use as an age-related multifaceted problem: Evidence from a two-site survey. Addictive Behaviors 81 , pp.157-166. (10.1016/j.addbeh.2018.02.017)
Ioannidis, K. et al., 2018. Problematic internet use as an age-related multifaceted problem: evidence from a two-site survey. Addictive Behaviors 81 , pp.157-166. (10.1016/j.addbeh.2018.02.017)
Jameel, M. , Bouraoui, Z. and Schockaert, S. 2018. Unsupervised learning of distributional relation vectors. Presented at: 56th Annual Meeting of the Association for Computational Linguistics Melbourne, Australia 15-20 July 2018.
Javed, A. , Burnap, P. and Rana, O. F. 2018. Prediction of drive-by download attacks on Twitter. Information Processing and Management (10.1016/j.ipm.2018.02.003)
Javed, A. et al. 2018. Scalable local energy management systems. Energy Procedia 142 , pp.3069. (10.1016/j.egypro.2017.12.446)
Jeawak, S. , Jones, C. and Schockaert, S. 2018. Mapping wildlife species distribution with social media: Augmenting text classification with species names. Presented at: GIScience 2018: 10th International Conference on Geographic Information Science Melbourne, Australia 28-31 August 2018. Published in: Winter, S. , Griffin, A. and Sester, M. eds. 10th International Conference of Geographic Information Science (GIScience 2018). Liebniz International Proceedings in Informatics. , pp.45:1-45:6.
Jiang, L. et al., 2018. 3D face reconstruction with geometry details from a single image. IEEE Transactions on Image Processing 27 (10), pp.4756-4770. (10.1109/TIP.2018.2845697)
Jonckheere, E. , Schirmer, S. and Langbein, F. 2018. Jonckheere-Terpstra test for nonclassical error versus log-sensitivity relationship of quantum spin network controllers. International Journal of Robust and Nonlinear Control 28 (6), pp.2383-2403. (10.1002/rnc.4022)
Jufeng, Y. et al., 2018. Weakly supervised coupled networks for visual sentiment analysis. Presented at: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Lake Salt City, USA 18-22 Jun 2018.
Kaplan, L. et al., 2018. Uncertainty aware AI ML: Why and how. Presented at: AAAI FSS-18: Artificial Intelligence in Government and Public Sector Proceedings Arlington, VA, USA 18-20 October 2018.
Kaur, D. et al., 2018. Tensor-based big data management scheme for dimensionality reduction problem in smart grid systems: SDN perspective. IEEE Transactions on Knowledge and Data Engineering 30 (10), pp.1985-1998. (10.1109/TKDE.2018.2809747)
Kaur, W. et al., 2018. Liking, sharing, commenting and reacting on Facebook: User behaviors' impact on sentiment intensity. Telematics and Informatics (10.1016/j.tele.2018.12.005)
Kimmig, A. et al. 2018. A collective, probabilistic approach to schema mapping using diverse noisy evidence. IEEE Transactions on Knowledge and Data Engineering (10.1109/TKDE.2018.2865785)
Kissling, W. D. et al., 2018. Building essential biodiversity variables (EBVs) of species distribution and abundance at a global scale.. Biological Reviews of the Cambridge Philosophical Society 93 (1), pp.600-625. (10.1111/brv.12359)
Knight, L. et al. 2018. Towards a methodology for creating time-critical, cloud-based CUDA applications. Presented at: IT4RIs 18: Interoperable infrastructures for interdisciplinary big data sciences- Time critical applications and infrastructure optimization Amsterdam, The Netherlands 18 January 2018. (10.5281/zenodo.1162877)
Krumhuber, E. G. et al. 2018. When facial expressions do and do not signal minds: the role of face inversion, expression dynamism, and emotion type. Emotion
Kuzelka, O. et al. 2018. PAC-reasoning in relational domains. Presented at: UAI2018: 34th Conference on Uncertainty in Artificial Intelligence Monterey, CA, USA 6-10 August 2018.
Kuzelka, O. et al., 2018. Relational marginal problems: theory and estimation. Presented at: 32nd AAAI Conference on Artificial Intelligence New Orleans, USA 2-7 February 2018.
Kuzelka, O. , Wang, Y. and Schockaert, S. 2018. VC-dimension based generalization bounds for relational learning. Presented at: ECML-PKDD 2018: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases Dublin, Ireland 10-14 Sept 2018.
Lai, Y. et al. 2018. An image-based approach for detecting faces carved in heritage monuments. Presented at: EUROGRAPHICS Workshop on Graphics and Cultural Heritage Vienna, Austria 12-15 Nov 2018. Eurographics Workshop on Graphics and Cultural Heritage. The Eurographics Association. , pp.215-219.
Lakoju, M. and Serrano, A. 2018. Saving costs with a big data strategy framework. Presented at: IEEE International Conference on Big Data Boston, MA 11-14 Dec 2017. 2017 IEEE International Conference on Big Data. IEEE. , pp.2340. (10.1109/BigData.2017.8258188)
Langenfeld, F. et al., 2018. SHREC 2018 - Protein Shape Retrieval. Presented at: EG workshop 3D Object Retrieval Delft, the Netherlands 16 April 2018.
Lei, Z. et al., 2018. Mining of nutritional ingredients in food for disease analysis. IEEE Access 6 , pp.52766-52778. (10.1109/ACCESS.2018.2866389)
Leveque, L. et al. 2018. State of the art: Eye-tracking studies in medical imaging. IEEE Access 6 , pp.37023-37034. (10.1109/ACCESS.2018.2851451)
Li, K. et al., 2018. Robust non-rigid registration with reweighted position and transformation sparsity. IEEE Transactions on Visualization and Computer Graphics
Liang, Y. et al., 2018. Knowledge graph construction with structure and parameter learning for indoor scene design. Computational Visual Media 4 (2), pp.123-137. (10.1007/s41095-018-0110-3)
Liu, C. et al., 2018. Robust virtual unrolling of historical parchment XMT images. IEEE Transactions on Image Processing 27 (4), pp.1914-1926. (10.1109/TIP.2017.2783626)
Liu, H. and Cocea, M. 2018. Fuzzy rule based systems for gender classification from blog data. Presented at: 2018 International Conference on Advanced Computational Intelligence Xiamen, China 29-31 March 2018. 2018 Tenth International Conference on Advanced Computational Intelligence (ICACI). IEEE(10.1109/ICACI.2018.8377585)
Liu, H. and Cocea, M. 2018. Granular computing based approach of rule learning for binary classification. Granular Computing (10.1007/s41066-018-0097-2)
Liu, H. and Cocea, M. 2018. Granular computing based machine learning: a big data processing approach. Studies in Big Data Heidelberg: Springer International Publishing. (10.1007/978-3-319-70058-8)
Liu, H. and Cocea, M. 2018. Induction of classification rules by Gini-Index based rule generation. Information Sciences 436-7 , pp.227-246. (10.1016/j.ins.2018.01.025)
Liu, H. and Cocea, M. 2018. Nature-inspired framework of ensemble learning for collaborative classification in granular computing context. Granular Computing (10.1007/s41066-018-0122-5)
Liu, H. , Cocea, M. and Ding, W. 2018. J-measure based pruning for advancing classification performance of information entropy based rule generation. Presented at: International Conference on Machine Learning and Cybernetics Chengdu, China 15-18 July 2018.
Liu, H. , Cocea, M. and Ding, W. 2018. Multi-task learning for intelligent data processing in granular computing context. Granular Computing 3 (3), pp.257-273. (10.1007/s41066-017-0065-2)
Liu, H. and Zhang, L. 2018. Fuzzy rule-based systems for recognition-intensive classification in granular computing context. Granular Computing 3 (4), pp.355-365. (10.1007/s41066-018-0076-7)
Liu, H. and Zhao, H. 2018. Multi-task feature selection for advancing performance of image segmentation. Presented at: International Conference on Machine Learning and Cybernetics Chengdu, China 15-18 July 2018.
Liu, Y. , Li, B. and Lai, Y. 2018. Sparse MDMO: learning a discriminative feature for micro-expression recognition. IEEE Transactions on Affective Computing (10.1109/TAFFC.2018.2854166)
Luo, J. et al., 2018. Piecewise linear regression-based single image super-resolution via Hadamard transform. Information Sciences 462 , pp.315-330. (10.1016/j.ins.2018.06.030)
Manhaeve, R. et al., 2018. DeepProbLog: Neural probabilistic logic programming. Presented at: Thirty-second Conference on Neural Information Processing Systems (NIPS 2018) Montreal 2-8 December 2018.
Mastio, M. et al., 2018. Distributed agent-based traffic simulations. IEEE Intelligent Transportation Systems Magazine 10 (1), pp.145-156. (10.1109/MITS.2017.2776162)
Mastio, M. et al., 2018. Two distribution methods for multiagent traffic simulations. Simulation Modelling Practice and Theory 89 , pp.35-47. (10.1016/j.simpat.2018.09.005)
Mavri, A. et al., 2018. Social learning and social design using iPads and groupware technologies. Lecture Notes in Artificial Intelligence 10924 , pp.430-445. (10.1007/978-3-319-91743-6_32)
McDermott Rees, Y. and Cerutti, F. 2018. Proposed Amicus Curiae observations for the Karadžić Judgment. United Nations Mechanism for International Criminal Tribunals
Medel, V. et al., 2018. Characterising resource management performance in Kubernetes. Computers and Electrical Engineering 68 , pp.286-297. (10.1016/j.compeleceng.2018.03.041)
Michelmann, S. et al., 2018. Data-driven re-referencing of intracranial EEG based on independent component analysis (ICA). Journal of Neuroscience Methods 307 , pp.125-137. (10.1016/j.jneumeth.2018.06.021)
Michelmann, S. et al., 2018. Data-driven re-referencing of intracranial EEG based on independent component analysis (ICA). Journal of Neuroscience Methods 307 , pp.125-137. (10.1016/j.jneumeth.2018.06.021)
Mohasseb, A. et al., 2018. Improving imbalanced question classification using structured smote based approach. Presented at: International Conference on Machine Learning and Cybernetics (ICMLC 2018) Chengdu, China 15-18 July 2018.
Mushthofa, M. , Schockaert, S. and De Cock, M. 2018. Fuzzy answer set programming: from theory to practice. In: Kosheleva, O. et al., Beyond Traditional Probabilistic Data Processing Techniques: Interval, Fuzzy, etc. Methods and Their Applications. Springer
Mushthofa, M. et al., 2018. Modeling multi-valued biological interaction networks using Fuzzy Answer Set Programming. Fuzzy Sets and Systems 345 , pp.63-82. (10.1016/j.fss.2018.01.003)
Nawaf, L. F. , Allen, S. M. and Rana, O. F. 2018. Optimizing infrastructure placement in wireless mesh networks using NSGA-II. Presented at: IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE 4th Intl. Conference on Data Science and Systems Exeter, UK 28-30 June 2018.
Nesmachnow, S. et al., 2018. Traffic lights synchronization for Bus Rapid Transit using a parallel evolutionary algorithm. International Journal of Transportation Science and Technology
Noe, N. 2018. Personality homophily and social-spatial characteristics in online social networks. PhD Thesis , Cardiff University.
Noe, N. , Whitaker, R. M. and Allen, S. M. 2018. Personality homophily and geographic distance in Facebook. Cyberpsychology, Behavior, and Social Networking 21 (6) 361. (10.1089/cyber.2017.0615)
Nuhu, K. A. et al., 2018. Investigating user responses to mandatory IT- induced organisational changes: a pre-implementation study. Presented at: European Conference on Information Systems 2018 Portsmouth 23-28 June 2018.
Ogunyemi, A. A. et al., 2018. A systematic mapping study of HCI practice research. International Journal of Human-Computer Interaction (10.1080/10447318.2018.1541544)
Ouro Barba, P. et al. 2018. Scalability of an Eulerian-Lagrangian large-eddy simulation solver with hybrid MPI/OpenMP parallelisation. Computers and Fluids
Peng, Y. et al., 2018. Anderson acceleration for geometry optimization and physics simulation. ACM Transactions on Graphics 37 (4) 42. (10.1145/3197517.3201290)
Petri, I. et al. 2018. Ensemble-based network edge processing. Presented at: IEEE/ACM 11th International Conference on Utility and Cloud Computing (UCC) Zurich, Switzerland 17-20 Dec 2018. 2018 IEEE/ACM 11th International Conference on Utility and Cloud Computing (UCC). IEEE. , pp.133-142. (10.1109/UCC.2018.00022)
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