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Visual attention model with a novel learning strategy and its application to target detection from SAR images
Gao F, Xue X, Wang J, Sun J, Hussain A & Yang E (2016) Visual attention model with a novel learning strategy and its application to target detection from SAR images. In: Liu C, Hussain A, Luo B, Tan K, Zeng Y & Zhang Z (eds.) Advances in Brain Inspired Cognitive Systems. BICS 2016. Lecture Notes in Computer Science, 10023. BICS 2016: 8th International Conference on Brain-Inspired Cognitive Systems, Beijing, China, 28.11.2016-30.11.2016. Cham, Switzerland: Springer, pp. 149-160. https://doi.org/10.1007/978-3-319-49685-6_14
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PerSent: A freely available Persian sentiment lexicon
Dashtipour K, Hussain A, Zhou Q, Gelbukh A, Hawalah AYA & Cambria E (2016) PerSent: A freely available Persian sentiment lexicon. In: Liu C, Hussain A, Luo B, Tan K, Zeng Y & Zhang Z (eds.) Advances in Brain Inspired Cognitive Systems. BICS 2016. Lecture Notes in Computer Science, 10023. BICS 2016: 8th International Conference on Brain-Inspired Cognitive Systems, Beijing, China, 28.11.2016-30.11.2016. Cham, Switzerland: Springer, pp. 310-320. https://doi.org/10.1007/978-3-319-49685-6_28
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A novel fully automated liver and HCC tumor segmentation system using morphological operations
Ali L, Hussain A, Li J, Howard N, Shah AA, Sudhakar U, Shah MA & Hussain ZU (2016) A novel fully automated liver and HCC tumor segmentation system using morphological operations. In: Liu C, Hussain A, Luo B, Tan K, Zeng Y & Zhang Z (eds.) Advances in Brain Inspired Cognitive Systems. BICS 2016. Lecture Notes in Computer Science, 10023. BICS 2016: 8th International Conference on Brain-Inspired Cognitive Systems, Beijing, China, 28.11.2016-30.11.2016. Cham, Switzerland: Springer, pp. 240-250. https://doi.org/10.1007/978-3-319-49685-6_22
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A new biologically-inspired analytical worm propagation model for mobile unstructured peer-to-peer networks
Alharbi H, Aloufi K & Hussain A (2016) A new biologically-inspired analytical worm propagation model for mobile unstructured peer-to-peer networks. In: Liu C, Hussain A, Luo B, Tan K, Zeng Y & Zhang Z (eds.) Advances in Brain Inspired Cognitive Systems: 8th International Conference, BICS 2016, Beijing, China, November 28-30, 2016, Proceedings. Lecture Notes in Computer Science, 10023. BICS 2016: Advances in Brain Inspired Cognitive Systems 8th International Conference, Beijing, China, 28.11.2016-30.11.2016. Cham, Switzerland: Springer, pp. 251-263. https://doi.org/10.1007/978-3-319-49685-6_23
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An Evolutionary Hyper-heuristic for the Software Project Scheduling Problem
Wu X, Consoli P, Minku L, Ochoa G & Yao X (2016) An Evolutionary Hyper-heuristic for the Software Project Scheduling Problem. In: Handl J, Hart E, Lewis P, Lopez-Ibanez M, Ochoa G & Paechter B (eds.) Parallel Problem Solving from Nature - PPSN XIV. Lecture Notes in Computer Science, 9921. International Conference on Parallel Problem Solving from Nature 2016: PPSN XIV, Edinburgh, 17.09.2016-21.09.2017. Cham, Switzerland: Springer Verlag, pp. 37-47. https://doi.org/10.1007/978-3-319-45823-6_4
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Coarse-Grained Barrier Trees of Fitness Landscapes
Herrmann S, Ochoa G & Rothlauf F (2016) Coarse-Grained Barrier Trees of Fitness Landscapes. In: Handl J, Hart E, Lewis P, LopezIbanez M, Ochoa G & Paechter B (eds.) Parallel Problem Solving from Nature – PPSN XIV. PPSN 2016. Lecture Notes in Computer Science, 9921. PPSN2016: 14th International Conference on Parallel Problem Solving from Nature, Edinburgh, 17.09.2016-21.09.2016. Cham: Springer, pp. 901-910. https://doi.org/10.1007/978-3-319-45823-6_84
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Automatically Designing More General Mutation Operators of Evolutionary Programming for Groups of Function Classes Using a Hyper-Heuristic
Hong L, Drake J, Woodward J & Ozcan E (2016) Automatically Designing More General Mutation Operators of Evolutionary Programming for Groups of Function Classes Using a Hyper-Heuristic. In: GECCO '16 Proceedings of the Genetic and Evolutionary Computation Conference 2016. GECCO '16: Genetic and Evolutionary Computation Conference 2016, Denver, CO, USA, 20.07.2016-24.07.2016. New York: ACM, pp. 725-732. https://doi.org/10.1145/2908812.2908958
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Towards GPU-Based Common-Sense Reasoning: Using Fast Subgraph Matching
Tran H, Cambria E & Hussain A (2016) Towards GPU-Based Common-Sense Reasoning: Using Fast Subgraph Matching. Cognitive Computation, 8 (6), pp. 1074-1086. https://doi.org/10.1007/s12559-016-9418-4
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A decision support system for strategic maintenance planning in offshore wind farms
Li X, Ouelhadj D, Song X, Jones D, Wall G, Howell KE, Igwe P, Martin S, Song D & Pertin E (2016) A decision support system for strategic maintenance planning in offshore wind farms. Renewable Energy, 99, pp. 784-799. https://doi.org/10.1016/j.renene.2016.07.037
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On graphs with just three distinct eigenvalues
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Can Lionel Messi's brain slow down time passing?
Jafari S & Smith L (2016) Can Lionel Messi's brain slow down time passing?. Chronobiology International, 33 (4), pp. 462-463. https://doi.org/10.3109/07420528.2016.1154570
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A novel ontology and machine learning driven hybrid cardiovascular clinical prognosis as a complex adaptive clinical system
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TCP Hollywood: An Unordered, Time-Lined, TCP for Networked Multimedia Applications
McQuistin S, Perkins C & Fayed M (2016) TCP Hollywood: An Unordered, Time-Lined, TCP for Networked Multimedia Applications. In: IFIP Networking Conference (IFIP Networking) and Workshops, 2016. IFIP Networking 2016 Conference, Vienna, Austria, 17.05.2016-19.05.2016. Piscataway, NJ, USA: IEEE, pp. 422-430. https://doi.org/10.1109/IFIPNetworking.2016.7497221
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Client-driven network-level QoE fairness for encrypted 'DASH-S'
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Variable Neighbourhood Search: A Case Study for a Highly-Constrained Workforce Scheduling Problem
Reid KN, Li J, Swan J, McCormick A & Owusu G (2016) Variable Neighbourhood Search: A Case Study for a Highly-Constrained Workforce Scheduling Problem. In: 2016 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE SSCI 2016: IEEE Symposium Series on Computational Intelligence, Athens, Greece, 06.12.2016-09.12.2016. Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/SSCI.2016.7850087
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A Data Driven Approach to Audiovisual Speech Mapping
Abel A, Marxer R, Hussain A, Barker J, Watt R, Whitmer B & Derleth P (2016) A Data Driven Approach to Audiovisual Speech Mapping. In: Liu C, Hussain A, Luo B, Tan K, Zeng Y & Zhang Z (eds.) Advances in Brain Inspired Cognitive Systems. Lecture Notes in Computer Science, 10023. BICS 2016: International Conference on Brain Inspired Cognitive Systems, Beijing, China, 28.11.2016-30.11.2016. Cham, Switzerland: Springer, pp. 331-342. https://doi.org/10.1007/978-3-319-49685-6_30
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Opening the Black Box: Analysing MLP Functionality Using Walsh Functions
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GP vs GI: if you can't beat them, join them
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Evals is not enough: why we should report wall-clock time
Woodward J, Brownlee A & Johnson C (2016) Evals is not enough: why we should report wall-clock time. In: Friedrich T (ed.) GECCO '16 Companion Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion. GECCO 2016: Genetic and Evolutionary Computation Conference, Denver, CO, USA, 20.07.2016-24.07.2016. New York: ACM, pp. 1157-1158. https://doi.org/10.1145/2908961.2931695
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Connecting automatic parameter tuning, genetic programming as a hyper-heuristic and genetic improvement programming
Woodward J, Johnson C & Brownlee A (2016) Connecting automatic parameter tuning, genetic programming as a hyper-heuristic and genetic improvement programming. In: Friedrich T (ed.) GECCO '16 Companion Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion. GECCO 2016: Genetic and Evolutionary Computation Conference, Denver, CO, USA, 20.07.2016-24.07.2016. New York: ACM, pp. 1357-1358. https://doi.org/10.1145/2908961.2931728
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A Targeted Estimation of Distribution Algorithm Compared to Traditional Methods in Feature Selection
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TCP Goes to Hollywood
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Evaluating automated goals for home care support
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Building a Better Mouse Maze
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Thesis
The Role of Walsh Structure and Ordinal Linkage in the Optimisation of Pseudo-Boolean Functions under Monotonicity Invariance
Christie LA (2016) The Role of Walsh Structure and Ordinal Linkage in the Optimisation of Pseudo-Boolean Functions under Monotonicity Invariance. Doctor of Philosophy. Robert Gordon University.
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Editorial for the Special Issue on Combinatorial Optimization Problems
Chicano F, Blum C & Ochoa G (2016) Editorial for the Special Issue on Combinatorial Optimization Problems. Evolutionary Computation, 24 (4), pp. 573-575. https://doi.org/10.1162/EVCO_e_00192
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Can Lionel Messi’s brain slow down time passing?
Jafari S & Smith L (2016) Can Lionel Messi’s brain slow down time passing?. Chronobiology International, 33 (4), pp. 462-463. https://doi.org/10.3109/07420528.2016.1154570
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Mixed Order Hyper-Networks for Function Approximation and Optimisation
Swingler K (2016) Mixed Order Hyper-Networks for Function Approximation and Optimisation. Doctor of Philosophy. University of Stirling. http://hdl.handle.net/1893/25349
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Implementing Real-Time Transport Services over an Ossified Network
McQuistin S, Perkins C & Fayed M (2016) Implementing Real-Time Transport Services over an Ossified Network. In: ANRW '16 Proceedings of the 2016 Applied Networking Research Workshop. ANRW '16 - Applied Networking Research Workshop 2016, Berlin, Germany, 16.07.2016-16.07.2016. New York: ACM, pp. 81-87. https://doi.org/10.1145/2959424.2959443
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Implementation factors affecting the large-scale deployment of digital health and well-being technologies: A qualitative study of the initial phases of the ‘Living-It-Up’ programme
Agbakoba R, McGee-Lennon M, Bouamrane M, Watson N & Mair FS (2016) Implementation factors affecting the large-scale deployment of digital health and well-being technologies: A qualitative study of the initial phases of the ‘Living-It-Up’ programme. Health Informatics Journal, 22 (4), pp. 867-877. https://doi.org/10.1177/1460458215594651
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Global Bilateral Symmetry Detection Using Multiscale Mirror Histograms
Elawady M, Barat C, Ducottet C & Colantoni P (2016) Global Bilateral Symmetry Detection Using Multiscale Mirror Histograms. In: Blanc-Talon J, Distante C, Philips W, Popescu D & Scheunders P (eds.) Advanced Concepts for Intelligent Vision Systems. ACIVS 2016. Lecture Notes in Computer Science, 10016. ACIVS 2016: International Conference on Advanced Concepts for Intelligent Vision Systems, Leece, Italy, 24.10.2016-27.10.2016. Cham, Switzerland: Springer International Publishing, pp. 14-24. https://doi.org/10.1007/978-3-319-48680-2_2
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Automatic Nonlinear Filtering and Segmentation for Breast Ultrasound Images
Elawady M, Sadek I, Shabayek AER, Pons G & Ganau S (2016) Automatic Nonlinear Filtering and Segmentation for Breast Ultrasound Images. In: Campilho A & Karray F (eds.) Image Analysis and Recognition. ICIAR 2016. Lecture Notes in Computer Science, 9730. ICIAR 2016: International Conference on Image Analysis and Recognition, Póvoa de Varzim, Portugal, 13.07.2016-15.07.2016. Cham, Switzerland: Springer International Publishing, pp. 206-213. https://doi.org/10.1007/978-3-319-41501-7_24
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On tensor decomposition, sparse interpolation and Padé approximation
Cuyt A, Lee W & Yang X (2016) On tensor decomposition, sparse interpolation and Padé approximation. Jaen Journal on Approximation, 8 (1), pp. 33-58. http://www.ujaen.es/revista/jja/pdf/pre/jja-0008-01-16-3.pdf
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Predicting the potential for natural recovery of Atlantic salmon (Salmo salar L.) populations following the introduction of Gyrodactylus salaris Malmberg, 1957 (Monogenea)
Denholm SJ, Hoyle A, Shinn A, Paladini G, Taylor NGH & Norman R (2016) Predicting the potential for natural recovery of Atlantic salmon (Salmo salar L.) populations following the introduction of Gyrodactylus salaris Malmberg, 1957 (Monogenea). PLoS ONE, 11 (12), Art. No.: e0169168. https://doi.org/10.1371/journal.pone.0169168
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Food security and why Christmas dinner is in peril
Norman R (2016) Food security and why Christmas dinner is in peril. The Conversation. 21.12.2016. https://theconversation.com/food-security-and-why-christmas-dinner-is-in-peril-70689
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An exploratory case study of interactive simulation for teaching Ecology
Ameerbakhsh O, Maharaj S, Hussain A, Paine CET & Taiksi S (2016) An exploratory case study of interactive simulation for teaching Ecology. In: 2016 15th International Conference on Information Technology Based Higher Education and Training (ITHET). ITHET 2016: 15th International Conference on Information Technology Based Higher Education and Training, Istanbul, Turkey, 08.09.2016-10.09.2016. Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/ITHET.2016.7760725
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From cells as computation to cells as apps
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Optimising Antibiotic Usage to Treat Bacterial Infections
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Distributed Reservoir Computing with Sparse Readouts
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Analysis of physical pore space characteristics of two pyrolytic biochars and potential as microhabitat
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Quality Scalability Aware Watermarking for Visual Content
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Global motion compensated visual attention-based video watermarking
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Genetic improvement: A key challenge for evolutionary computation
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Towards unsupervised fluorescence lifetime imaging using low dimensional variable projection
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Subaperture analysis of polarimetric SAR data for iceberg detection
Akbari V, Doulgeris AP & Brekke C (2016) Subaperture analysis of polarimetric SAR data for iceberg detection. In: IGARSS 2016 - 2016 IEEE International Geoscience and Remote Sensing Symposium, Beijing, China, 10.07.2016-15.07.2016. New Jersey: IEEE. https://doi.org/10.1109/igarss.2016.7730480
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On a strain-structured epidemic model
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Heuristic search for the coupled runway sequencing and taxiway routing problem
Benlic U, Brownlee A & Burke EK (2016) Heuristic search for the coupled runway sequencing and taxiway routing problem. Transportation Research Part C: Emerging Technologies, 71, pp. 333-355. https://doi.org/10.1016/j.trc.2016.08.004
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A Neuro-Fuzzy Control System Based on Feature Extraction of Surface Electromyogram Signal for Solar-Powered Wheelchair
Kaiser MS, Chowdhury ZI, Mamun SA, Hussain A & Mahmud M (2016) A Neuro-Fuzzy Control System Based on Feature Extraction of Surface Electromyogram Signal for Solar-Powered Wheelchair. Cognitive Computation, 8 (5), pp. 946-954. https://doi.org/10.1007/s12559-016-9398-4
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Biologically Inspired Progressive Enhancement Target Detection from Heavy Cluttered SAR Images
Gao F, Ma F, Zhang Y, Wang J, Sun J, Yang E & Hussain A (2016) Biologically Inspired Progressive Enhancement Target Detection from Heavy Cluttered SAR Images. Cognitive Computation, 8 (5), pp. 955-966. https://doi.org/10.1007/s12559-016-9405-9
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Advances in Brain-Inspired Cognitive Systems
Luo B, Hussain A, Mahmud M & Tang J (2016) Advances in Brain-Inspired Cognitive Systems. Cognitive Computation, 8 (5), pp. 795-796. https://doi.org/10.1007/s12559-016-9431-7
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Towards a Biologically Inspired Soft Switching Approach for Cloud Resource Provisioning
Ullah A, Li J, Hussain A & Yang E (2016) Towards a Biologically Inspired Soft Switching Approach for Cloud Resource Provisioning. Cognitive Computation, 8 (5), pp. 992-1005. https://doi.org/10.1007/s12559-016-9391-y
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Comparing Oversampling Techniques to Handle the Class Imbalance Problem: A Customer Churn Prediction Case Study
Amin A, Anwar S, Adnan A, Nawaz M, Howard N, Qadir J, Hawalah AYA & Hussain A (2016) Comparing Oversampling Techniques to Handle the Class Imbalance Problem: A Customer Churn Prediction Case Study. IEEE Access, 4, pp. 7940-7957. https://doi.org/10.1109/access.2016.2619719
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Ada Lovelace blazed a trail in science – we need more women to follow in her footsteps
Shankland C (2016) Ada Lovelace blazed a trail in science – we need more women to follow in her footsteps. The Conversation. 11.10.2016. https://theconversation.com/ada-lovelace-blazed-a-trail-in-science-we-need-more-women-to-follow-in-her-footsteps-66661
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A Multi-Agent Based Cooperative Approach to Scheduling and Routing
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Structure Discovery in Mixed Order Hyper Networks
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A fast algorithm for calculating an expected outbreak size on dynamic contagion networks
Enright J & Kao RR (2016) A fast algorithm for calculating an expected outbreak size on dynamic contagion networks. Epidemics, 16, pp. 56-62. https://doi.org/10.1016/j.epidem.2016.05.002
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A comparison of approaches to stepwise regression on variables sensitivities in building simulation and analysis
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Process Algebra with Layers: A Language for Multi-scale Integration Modelling, Illustrated by a Cell Cycle and DNA Damage Case Study
Scott E, Hoyle A & Shankland C (2016) Process Algebra with Layers: A Language for Multi-scale Integration Modelling, Illustrated by a Cell Cycle and DNA Damage Case Study. In: Bracciali A & Caravagna G (eds.) Proceedings of Computational Intelligence Methods for Bioinformatics and Biostatistics. 13th International Conference on Computational Intelligence methods for Bioinformatics and Biostatistics, Stirling, 01.09.2016-03.09.2016. Stirling: University of Stirling, pp. 240-246. http://www.cs.stir.ac.uk/events/cibb2016/index.html
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Combining transcranial ultrasound with intelligent communication methods to enhance the remote assessment and management of stroke patients: Framework for a technology demonstrator
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Learning latent features with infinite non-negative binary matrix tri-factorization
Yang X, Huang K, Zhang R & Hussain A (2016) Learning latent features with infinite non-negative binary matrix tri-factorization. In: Hirose A, Ozawa S, Doya K, Ikeda K, Lee M & Liu D (eds.) Neural Information Processing: 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16–21, 2016, Proceedings, Part I. Lecture Notes in Computer Science, 9947. ICONIP 2016: 23rd International Conference on Neural Information Processing, Kyoto, Japan, 16.10.2016-21.10.2016. Cham, Switzerland: Springer, pp. 587-596. https://doi.org/10.1007/978-3-319-46687-3_65
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PWHATSHAP: efficient haplotyping for future generation sequencing
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HPC-GAP: engineering a 21st-century high-performance computer algebra system
Behrends R, Hammond K, Janjic V, Konovalov A, Linton S, Loidl H, Maier P & Trinder P (2016) HPC-GAP: engineering a 21st-century high-performance computer algebra system. Concurrency and Computation: Practice and Experience, 28 (13), pp. 3606-3636. https://doi.org/10.1002/cpe.3746
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Evolutionary Algorithms with Linkage Information for Feature Selection in Brain Computer Interfaces
Adair J, Brownlee A & Ochoa G (2016) Evolutionary Algorithms with Linkage Information for Feature Selection in Brain Computer Interfaces. In: Angelov P, Gegov A, Jayne C & Shen Q (eds.) Advances in Computational Intelligence Systems: Contributions Presented at the 16th UK Workshop on Computational Intelligence, September 7–9, 2016, Lancaster, UK. Advances in Intelligent Systems and Computing, 513. UKCI 2016 - 16th UK Workshop on Computational Intelligence, Lancaster, 07.09.2016-09.09.2016. London: Springer, pp. 287-307. https://doi.org/10.1007/978-3-319-46562-3_19
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A New Spatio-Temporal Saliency-Based Video Object Segmentation
Tu Z, Abel A, Zhang L, Luo B & Hussain A (2016) A New Spatio-Temporal Saliency-Based Video Object Segmentation. Cognitive Computation, 8 (4), pp. 629-647. https://doi.org/10.1007/s12559-016-9387-7
Conference Paper (published)
Tunnelling Crossover Networks for the Asymmetric TSP
Veerapen N, Ochoa G, Tinós R & Whitley D (2016) Tunnelling Crossover Networks for the Asymmetric TSP. In: Handl J, Hart E, Lewis P, Lopez-Ibanez M, Ochoa G & Paechter B (eds.) Parallel Problem Solving from Nature – PPSN XIV: 14th International Conference, Edinburgh, UK, September 17-21, 2016, Proceedings. Lecture Notes in Computer Science, 9921. PPSN2016 - 14th International Conference on Parallel Problem Solving from Nature, Edinburgh, 17.09.2016-21.09.2016. Cham, Switzerland: Springer, pp. 994-1003. https://doi.org/10.1007/978-3-319-45823-6_93
Article
Multilingual Sentiment Analysis: State of the Art and Independent Comparison of Techniques
Dashtipour K, Poria S, Hussain A, Cambria E, Hawalah AYA, Gelbukh A & Zhou Q (2016) Multilingual Sentiment Analysis: State of the Art and Independent Comparison of Techniques. Cognitive Computation, 8 (4), pp. 757-771. https://doi.org/10.1007/s12559-016-9415-7
Article
From Spin to Swindle: Identifying Falsification in Financial Text
Minhas S & Hussain A (2016) From Spin to Swindle: Identifying Falsification in Financial Text. Cognitive Computation, 8 (4), pp. 729-745. https://doi.org/10.1007/s12559-016-9413-9
Article
A Compact Digital Gamma-tone Filter Processor
Rojo-Hernandez A, Sanchez-Rivera G, Avalos-Ochoa G, Perez-Meana H & Smith LS (2016) A Compact Digital Gamma-tone Filter Processor. Microprocessors and Microsystems, 45 (Part A), pp. 216-225. https://doi.org/10.1016/j.micpro.2016.05.010
Article
Modelling the impact and control of an infectious disease in a plant nursery with infected plant material inputs
Bate AM, Jones G, Kleczkowski A, MacLeod A, Naylor R, Timmis J, Touza J & White PCL (2016) Modelling the impact and control of an infectious disease in a plant nursery with infected plant material inputs. Ecological Modelling, 334, pp. 27-43. https://doi.org/10.1016/j.ecolmodel.2016.04.013
Conference Paper (published)
Metaheuristic Design Pattern: Surrogate Fitness Functions
Brownlee A, Woodward J & Swan J (2016) Metaheuristic Design Pattern: Surrogate Fitness Functions. In: Silva S (ed.) GECCO Companion '15 Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation. GECCO 2015: Annual Conference on Genetic and Evolutionary Computation, Madrid, Spain, 11.07.2015-15.07.2015. New York: ACM, pp. 1261-1264. https://doi.org/10.1145/2739482.2768499
Conference Paper (published)
Opportunistic native multicast under churn
Alwadani D, Kolberg M & Buford J (2016) Opportunistic native multicast under churn. In: Proceedings of 2016 SAI Computing Conference, SAI 2016. 2016 SAI Computing Conference (SAI), London, 13.07.2016-15.07.2016. Piscataway, NJ, USA: IEEE, pp. 644-648. https://doi.org/10.1109/SAI.2016.7556050
Conference Paper (published)
Communities of Local Optima as Funnels in Fitness Landscapes
Herrmann S, Ochoa G & Rothlauf F (2016) Communities of Local Optima as Funnels in Fitness Landscapes. In: Friedrich T (ed.) Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20 - 24, 2016. GECCO 16: Genetic and Evolutionary Computation Conference 2016, Denver, CO, USA, 20.07.2016-24.07.2016. New York: ACM, pp. 325-331. https://doi.org/10.1145/2908812.2908818
Article
Polarimetric SAR Change Detection With the Complex Hotelling–Lawley Trace Statistic
Akbari V, Anfinsen SN, Doulgeris AP, Eltoft T, Moser G & Serpico SB (2016) Polarimetric SAR Change Detection With the Complex Hotelling–Lawley Trace Statistic. IEEE Transactions on Geoscience and Remote Sensing, 54 (7), pp. 3953-3966. https://doi.org/10.1109/tgrs.2016.2532320
Newspaper / Magazine
Why everyone should have to learn computer programming
Woodward J & Fayed M (2016) Why everyone should have to learn computer programming. The Conversation. 13.07.2016. https://theconversation.com/why-everyone-should-have-to-learn-computer-programming-62328
Other
Who will be first to get Gold?
Shankland C (2016) Who will be first to get Gold?. ITNOW, 58 (2), pp. 14-15. http://itnow.oxfordjournals.org/content/58/2/14.abstract
Conference Paper (published)
A Dynamic Game of Mobile Agent Placement in a MANET
Gromova E, Gromov D, Timonin N, Kirpichnikova A & Blakeway S (2016) A Dynamic Game of Mobile Agent Placement in a MANET. In: 2016 International Conference on Systems Informatics, Modelling and Simulation (SIMS). 2016 International Conference on Systems Informatics, Modelling and Simulation (SIMS), Riga, Latvia, 01.06.2016-03.06.2016. unpublished: IEEE. https://doi.org/10.1109/sims.2016.25
Conference Paper (published)
An Analysis of MANET Routing Protocol Performance for an Interactive User Engaging Quiz
Walton J, Blakeway S & Kirpichnikova A (2016) An Analysis of MANET Routing Protocol Performance for an Interactive User Engaging Quiz. In: 2016 International Conference on Systems Informatics, Modelling and Simulation (SIMS). 2016 International Conference on Systems Informatics, Modelling and Simulation (SIMS), Riga, Latvia, 01.06.2016-03.06.2016. Piscataway, NJ, USA: IEEE, pp. 147-152. https://doi.org/10.1109/sims.2016.24
Article
Unsupervised Commonsense Knowledge Enrichment for Domain-Specific Sentiment Analysis
Ofek N, Poria S, Rokach L, Cambria E, Hussain A & Shabtai A (2016) Unsupervised Commonsense Knowledge Enrichment for Domain-Specific Sentiment Analysis. Cognitive Computation, 8 (3), pp. 467-477. http://link.springer.com/article/10.1007/s12559-015-9375-3; https://doi.org/10.1007/s12559-015-9375-3
Article
Grammar-based generation of variable-selection heuristics for constraint satisfaction problems
Sosa-Ascencio A, Ochoa G, Terashima-Marin H & Conant-Pablos SE (2016) Grammar-based generation of variable-selection heuristics for constraint satisfaction problems. Genetic Programming and Evolvable Machines, 17 (2), pp. 119--144. https://doi.org/10.1007/s10710-015-9249-1
Article
Computing Nash Equilibria and Evolutionarily Stable States of Evolutionary Games
Li J, Kendall G & John R (2016) Computing Nash Equilibria and Evolutionarily Stable States of Evolutionary Games. IEEE Transactions on Evolutionary Computation, 20 (3), pp. 460-469. https://doi.org/10.1109/TEVC.2015.2490076
Presentation / Talk
Gamification for public engagement with invasive tree pests and diseases
Maharaj S, Jones G, Greene P & Docherty C (2016) Gamification for public engagement with invasive tree pests and diseases. First International European Citizen Science Association (ESCA) Conference 2016: Citizen Science - Innovation in Open Science, Society and Policy, Berlin, 19.05.2016-21.05.2016.
Article
Pointwise and pairwise clothing annotation: combining features from social media
Nogueira K, Veloso AA & dos Santos JA (2016) Pointwise and pairwise clothing annotation: combining features from social media. Multimedia Tools and Applications, 75 (7), pp. 4083-4113. https://doi.org/10.1007/s11042-015-3087-2