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A tale of four metrics
Connor R (2016) A tale of four metrics. In: Amsaleg L, Houle M & Schubert E (eds.) Similarity Search and Applications. SISAP 2016. Lecture Notes in Computer Science, 9939. 9th International Conference on Similarity Search and Applications, SISAP 2016, Tokyo, Japan, 24.10.2016-26.10.2016. Cham, Switzerland: Springer, pp. 210-217. https://doi.org/10.1007/978-3-319-46759-7_16
Conference Paper (published)
Supermetric search with the four-point property
Connor R, Vadicamo L, Cardillo FA & Rabitti F (2016) Supermetric search with the four-point property. In: Amsaleg L, Houle M & Schubert E (eds.) Similarity Search and Applications. SISAP 2016. Lecture Notes in Computer Science, 9939. International Conference on Similarity Search and Applications, SISAP 2016, Tokyo, Japan, 24.10.2016-26.10.2016. Cham, Switzerland: Springer, pp. 51-64. https://doi.org/10.1007/978-3-319-46759-7_4
Conference Paper (published)
A Dataflow IR for Memory Efficient RIPL Compilation to FPGAs
Stewart R, Michaelson G, Bhowmik D, Garcia P & Wallace A (2016) A Dataflow IR for Memory Efficient RIPL Compilation to FPGAs. In: Díaz-Martín J, Carretero J, Garcia-Blas J, Gergel V, Voevodin V, Meyerov I, Rico-Gallego J, Alonso P, Durillo J, Garcia Sánchez J, Lastovetsky A, Marozzo F, Liu Q, Bhuiyan Z & Fürlinger K (eds.) Algorithms and Architectures for Parallel Processing. ICA3PP 2016. Lecture Notes in Computer Science, 10049. ICA3PP 2016: Algorithms and Architectures for Parallel Processing, Granada, Spain, 14.12.2016-16.12.2016. Cham, Switzerland: Springer International Publishing, pp. 174-188. https://doi.org/10.1007/978-3-319-49956-7_14
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.
Article
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
Thesis
Mixed Order Hyper-Networks for Function Approximation and Optimisation
Swingler K (2016) Mixed Order Hyper-Networks for Function Approximation and Optimisation. Doctor of Philosophy. 我要吃瓜. http://hdl.handle.net/1893/25349
Article
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
Conference Paper (published)
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
Conference Paper (published)
The Multi-Funnel Structure of TSP Fitness Landscapes: A Visual Exploration
Ochoa G, Veerapen N, Whitley D & Burke E (2016) The Multi-Funnel Structure of TSP Fitness Landscapes: A Visual Exploration. In: Bonnevay S, Legrand P, Monmarché N, Lutton E & Schoenauer M (eds.) Artificial Evolution: 12th International Conference, Evolution Artificielle, EA 2015, Lyon, France, October 26-28, 2015. Revised Selected Papers. Lecture Notes in Computer Science, 9554. International Conference on Artificial Evolution (EA-2015), Lyon, France, 26.10.2015-28.10.2015. Cham, Switzerland: Springer, pp. 1-13. https://doi.org/10.1007/978-3-319-31471-6_1
Conference Paper (published)
Deep and sparse learning in speech and language processing: An overview
Wang D, Zhou Q & Hussain A (2016) Deep and sparse learning in speech and language processing: An overview. 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. 171-183. https://doi.org/10.1007/978-3-319-49685-6_16
Conference Paper (published)
An investigation of machine learning and neural computation paradigms in the design of clinical decision support systems (CDSSs)
Wajid S, Hussain A, Luo B & Huang K (2016) An investigation of machine learning and neural computation paradigms in the design of clinical decision support systems (CDSSs). 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. BICS2016: 8th International Conference on Brain-Inspired Cognitive Systems, Beijing, China, 28.11.2016-30.11.2016. Cham, Switzerland: Springer, pp. 58-67. https://doi.org/10.1007/978-3-319-49685-6_6
Article
Determinants of outcome of vocational rehabilitation
Siggeirsdottir K & Haraldsson S (2016) Determinants of outcome of vocational rehabilitation. Work, 55 (3), pp. 577-583. https://doi.org/10.3233/WOR-162436
Conference Paper (published)
Continuous time recurrent neural network model of recurrent collaterals in the hippocampus CA3 region
Shiva AS & Hussain A (2016) Continuous time recurrent neural network model of recurrent collaterals in the hippocampus CA3 region. 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. BICS2016: 8th International Conference on Brain-Inspired Cognitive System, Beijing, China, 28.11.2016-30.11.2016. Cham, Switzerland: Springer, pp. 343-354. https://doi.org/10.1007/978-3-319-49685-6_31
Conference Paper (published)
Modified cat swarm optimization for clustering
Razzaq S, Maqbool F & Hussain A (2016) Modified cat swarm optimization for clustering. 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. 161-170. https://doi.org/10.1007/978-3-319-49685-6_15
Conference Paper (published)
Predicting insulin resistance in children using a machine-learning-based clinical decision support system
Hall AJ, Hussain A & Shaikh MG (2016) Predicting insulin resistance in children using a machine-learning-based clinical decision support system. 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. 274-283. https://doi.org/10.1007/978-3-319-49685-6_25
Conference Paper (published)
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
Conference Paper (published)
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
Conference Paper (published)
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
Conference Paper (published)
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
Conference Paper (published)
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
Conference Paper (published)
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
Conference Paper (published)
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
Article
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
Rowlinson P (2016) On graphs with just three distinct eigenvalues. Linear Algebra and Its Applications, 507, pp. 462-473. https://doi.org/10.1016/j.laa.2016.06.031
Article
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
Article
A novel ontology and machine learning driven hybrid cardiovascular clinical prognosis as a complex adaptive clinical system
Farooq K & Hussain A (2016) A novel ontology and machine learning driven hybrid cardiovascular clinical prognosis as a complex adaptive clinical system. Complex Adaptive Systems Modeling, 4, Art. No.: 12. https://doi.org/10.1186/s40294-016-0023-x
Conference Paper (published)
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'
Chen J, Ammar M, Fayed M & Fonseca R (2016) Client-driven network-level QoE fairness for encrypted 'DASH-S'. In: Internet-QoE 2016 - Proceedings of the 2016 ACM SIGCOMM Workshop on QoE-Based Analysis and Management of Data Communication Networks, Part of SIGCOMM 2016. Internet-QoE '16: 2016 workshop on QoE-based Analysis and Management of Data Communication Networks, Florianopolis, Brazil, 22.08.2016-26.08.2016. New York: ACM, pp. 55-60. https://doi.org/10.1145/2940136.2940144
Conference Paper (published)
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
Conference Paper (published)
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
Conference Paper (published)
Opening the Black Box: Analysing MLP Functionality Using Walsh Functions
Swingler K (2016) Opening the Black Box: Analysing MLP Functionality Using Walsh Functions. In: Merelo J, Rosa A, Cadenas J, Dourado A, Madani K & Filipe J (eds.) Computational Intelligence. Studies in Computational Intelligence, 620. International Joint Conference on Computational Intelligence (IJCCI) 2014, Rome, Italy, 22.10.2014-24.10.2014. Cham, Switzerland: Springer, pp. 303-323. https://doi.org/10.1007/978-3-319-26393-9_18
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GP vs GI: if you can't beat them, join them
Woodward J, Johnson C & Brownlee A (2016) GP vs GI: if you can't beat them, join them. In: Friedrich T (ed.) GECCO '16 Companion Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion. Genetic and Evolutionary Computation Conference, GECCO-2016, Denver, CO, USA, 20.07.2016-24.07.2016. New York: ACM, pp. 1155-1156. https://doi.org/10.1145/2908961.2931694
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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
Neumann G & Cairns D (2016) A Targeted Estimation of Distribution Algorithm Compared to Traditional Methods in Feature Selection. In: Madani K, Dourado A, Rosa A, Filipe J & Kacprzyk J (eds.) Computational Intelligence: Revised and Selected Papers of the International Joint Conference, IJCCI 2013, Vilamoura, Portugal, September 20-22, 2013. Studies in Computational Intelligence, 613. 5th International Joint Conference on Computational Intellegience, IJCCI 2013, Vilamoura, Portugal, 20.09.2013-22.09.2013. Cham, Switzerland: Springer, pp. 83-103. http://link.springer.com/chapter/10.1007/978-3-319-23392-5_5; https://doi.org/10.1007/978-3-319-23392-5_5
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TCP Goes to Hollywood
McQuistin S, Perkins C & Fayed M (2016) TCP Goes to Hollywood. In: NOSSDAV '16 Proceedings of the 26th International Workshop on Network and Operating Systems Support for Digital Audio and Video. 26th ACM Workshop on Network and Operating Systems Support for Digital Audio and Video, NOSSDAV 2016, Klagenfurt, Austria, 10.05.2016-13.05.2016. New York: ACM, pp. 25-30. https://doi.org/10.1145/2910642.2910648
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Evaluating automated goals for home care support
Lawrence J & Turner KJ (2016) Evaluating automated goals for home care support. Journal of Assistive Technologies, 10 (2), pp. 79-91. https://doi.org/10.1108/JAT-01-2016-0001
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Building a Better Mouse Maze
Enright J & Faben JD (2016) Building a Better Mouse Maze. In: Demaine ED E & Grandoni F (eds.) 8th International Conference on Fun with Algorithms, FUN 2016, June 8–10, 2016, La Maddalena, Italy. LIPIcs: Leibniz International Proceedings in Informatics. 8th International Conference on Fun with Algorithms, La Maddalena, Italy, 08.06.2016-10.06.2016. Saarbrucken/Wadern, Germany: Dagstuhl Publishing, pp. 15:1-15:12. http://www2.idsia.ch/cms/fun16/; https://doi.org/10.4230/LIPIcs.FUN.2016.15
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Mining Markov Network Surrogates for Value-Added Optimisation
Brownlee A (2016) Mining Markov Network Surrogates for Value-Added Optimisation. In: Friedrich T (ed.) GECCO '16 Companion Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion. Genetic and Evolutionary Computation Conference GECCO’16, Denver, CO, USA, 20.07.2016-24.07.2016. New York: ACM, pp. 1267-1274. https://doi.org/10.1145/2908961.2931711
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Additional Dimensions to the Study of Funnels in Combinatorial Landscapes
Ochoa G & Veerapen N (2016) Additional Dimensions to the Study of Funnels in Combinatorial Landscapes. In: GECCO '16 Proceedings of the 2016 Genetic and Evolutionary Computation Conference 2016. The 2016 Genetic and Evolutionary Computation Conference (GECCO 2016), Denver, Colorado, USA, 20.07.2016-24.07.2016. New York, NY, USA: ACM, pp. 373-380. http://dl.acm.org/citation.cfm?id=2908820&CFID=827599008&CFTOKEN=74602334; https://doi.org/10.1145/2908812.2908820
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A Stepwise Fitting Procedure for automated fitting of Ecopath with Ecosim models
Scott E, Serpetti N, Steenbeek J & Heymans JJ (2016) A Stepwise Fitting Procedure for automated fitting of Ecopath with Ecosim models. SoftwareX, 5, pp. 25-30. https://doi.org/10.1016/j.softx.2016.02.002
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Structured populations with distributed recruitment: from PDE to delay formulation
Calsina A, Diekmann O & Farkas JZ (2016) Structured populations with distributed recruitment: from PDE to delay formulation. Mathematical Methods in the Applied Sciences, 39 (18), pp. 5175-5191. http://onlinelibrary.wiley.com/doi/10.1002/mma.3898/abstract; https://doi.org/10.1002/mma.3898
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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
Newspaper / Magazine
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
Bracciali A, Cataldo E, Damiano L, Felicioli C, Marangoni R & Stano P (2016) From cells as computation to cells as apps. In: Gadducci F & Tavosanis M (eds.) History and Philosophy of Computing: Third International Conference, HaPoC 2015, Pisa, Italy, October 8-11, 2015, Revised Selected Papers. IFIP Advances in Information and Communication Technology, 487. Third International Conference on the History and Philosophy of Computing (HaPoC 2015), Pisa, Italy, 08.10.2015-11.10.2015. Cham, Switzerland: Springer, pp. 116-130. https://doi.org/10.1007/978-3-319-47286-7_8
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Optimising Antibiotic Usage to Treat Bacterial Infections
Paterson IK, Hoyle A, Ochoa G, Baker-Austin C & Taylor NGH (2016) Optimising Antibiotic Usage to Treat Bacterial Infections. Scientific Reports, 6, Art. No.: 37853. https://doi.org/10.1038/srep37853
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Distributed Reservoir Computing with Sparse Readouts
Scardapane S, Panella M, Comminiello D, Hussain A & Uncini A (2016) Distributed Reservoir Computing with Sparse Readouts. IEEE Computational Intelligence Magazine, 11 (4), pp. 59-70. https://doi.org/10.1109/MCI.2016.2601759
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Analysis of physical pore space characteristics of two pyrolytic biochars and potential as microhabitat
Schnee LS, Knauth S, Hapca S, Otten W & Eickhorst T (2016) Analysis of physical pore space characteristics of two pyrolytic biochars and potential as microhabitat. Plant and Soil, 408 (1-2), pp. 357-368. https://doi.org/10.1007/s11104-016-2935-9
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Quality Scalability Aware Watermarking for Visual Content
Bhowmik D & Abhayaratne C (2016) Quality Scalability Aware Watermarking for Visual Content. IEEE Transactions on Image Processing, 25 (11), pp. 5158-5172. https://doi.org/10.1109/tip.2016.2599785
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Global motion compensated visual attention-based video watermarking
Oakes M, Bhowmik D & Abhayaratne C (2016) Global motion compensated visual attention-based video watermarking. Journal of Electronic Imaging, 25 (6), Art. No.: 061624. https://doi.org/10.1117/1.jei.25.6.061624
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Genetic improvement: A key challenge for evolutionary computation
Langdon WB & Ochoa G (2016) Genetic improvement: A key challenge for evolutionary computation. In: 2016 IEEE Congress on Evolutionary Computation, CEC 2016. 2016 IEEE Congress on Evolutionary Computation (CEC), Vancouver, Canada, 24.07.2016-29.07.2016. Piscataway, NJ, USA: IEEE, pp. 3068-3075. https://doi.org/10.1109/CEC.2016.7744177
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Towards unsupervised fluorescence lifetime imaging using low dimensional variable projection
Zhang Y, Cuyt A, Lee W, Lo Bianco G, Wu G, Chen Y & Li DD (2016) Towards unsupervised fluorescence lifetime imaging using low dimensional variable projection. Optics Express, 24 (23), pp. 26777-26791. https://doi.org/10.1364/oe.24.026777
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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
Article
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
Article
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
Article
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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On a strain-structured epidemic model
Farkas JZ & Calsina A (2016) On a strain-structured epidemic model. Nonlinear Analysis: Real World Applications, 31, pp. 325-342. https://doi.org/10.1016/j.nonrwa.2016.01.014
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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
Article
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
Newspaper / Magazine
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
Article
A Multi-Agent Based Cooperative Approach to Scheduling and Routing
Martin S, Ouelhadj D, Beullens P, Ozcan E, Juan AA & Burke EK (2016) A Multi-Agent Based Cooperative Approach to Scheduling and Routing. European Journal of Operational Research, 254 (1), pp. 169-178. https://doi.org/10.1016/j.ejor.2016.02.045
Article
Structure Discovery in Mixed Order Hyper Networks
Swingler K (2016) Structure Discovery in Mixed Order Hyper Networks. Big Data Analytics, 1 (1), Art. No.: 8. https://doi.org/10.1186/s41044-016-0009-x
Article
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
Wang M, Wright J, Brownlee A & Buswell R (2016) A comparison of approaches to stepwise regression on variables sensitivities in building simulation and analysis. Energy and Buildings, 127, pp. 313-326. https://doi.org/10.1016/j.enbuild.2016.05.065
Conference Paper (published)
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: 我要吃瓜, pp. 240-246. http://www.cs.stir.ac.uk/events/cibb2016/index.html
Article
Combining transcranial ultrasound with intelligent communication methods to enhance the remote assessment and management of stroke patients: Framework for a technology demonstrator
Mort A, Eadie L, Regan L, Macaden A, Heaney D, Bouamrane M, Rushworth G & Wilson P (2016) Combining transcranial ultrasound with intelligent communication methods to enhance the remote assessment and management of stroke patients: Framework for a technology demonstrator. Health Informatics Journal, 22 (3), pp. 691-701. https://doi.org/10.1177/1460458215580353
Conference Paper (published)
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
Conference Paper (published)
PWHATSHAP: efficient haplotyping for future generation sequencing
Bracciali A, Aldinucci M, Patterson M, Marschall T, Pisanti N, Merelli I & Torquati M (2016) PWHATSHAP: efficient haplotyping for future generation sequencing. In: Nonis A, Di Serio C, Lio' P, Tagliaferri R & Rizzo R (eds.) volume 17. 11th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics (CIBB 2014), Cambridge, UK, 26.06.2014-28.06.2014. BioMed Central. http://www.cussb.unisr.it/cibb2014/; https://doi.org/10.1186/s12859-016-1170-y
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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
Conference Paper (published)
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
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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
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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
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