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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
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
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TermPicker: Enabling the reuse of vocabulary terms by exploiting data from the linked open data cloud
Schaible J, Gottron T & Scherp A (2016) TermPicker: Enabling the reuse of vocabulary terms by exploiting data from the linked open data cloud. In: Sack H, Blomqvist E, d'Aquin M, Ghidini C & Paolo Ponzetto S (eds.) The Semantic Web. Latest Advances and New Domains. ESWC 2016. Lecture Notes in Computer Science, 9678. European Semantic Web Conference 2016, Heraklion, Greece, 29.05.2016-02.06.2016. Cham, Switzerland: Springer Verlag, pp. 101-117. https://doi.org/10.1007/978-3-319-34129-3_7
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Comparing vocabulary term recommendations using association rules and learning to rank: A user study
Schaible J, Szekely P & Scherp A (2016) Comparing vocabulary term recommendations using association rules and learning to rank: A user study. In: Sack H, Blomqvist E, d'Aquin M, Ghidini C, Paolo Ponzetto S & Lange C (eds.) The Semantic Web. Latest Advances and New Domains. ESWC 2016, volume 9678. Lecture Notes in Computer Science, 9678. European Semantic Web Conference (ESWC) 2016, Crete, Greece, 29.05.2016-02.06.2016. Cham, Switzerland: Springer Verlag, pp. 214-230. https://doi.org/10.1007/978-3-319-34129-3_14
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Reference point hyperplane trees
Connor R (2016) Reference point hyperplane trees. 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. 65-78. https://doi.org/10.1007/978-3-319-46759-7_5
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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
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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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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
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Transparent fault tolerance for scalable functional computation
Stewart R, Maier P & Trinder P (2016) Transparent fault tolerance for scalable functional computation. Journal of Functional Programming, 26, Art. No.: e5. https://doi.org/10.1017/s095679681600006x
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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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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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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
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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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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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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)
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)
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)
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 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
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. University of Stirling. http://hdl.handle.net/1893/25349
Conference Paper (published)
Sparse interpolation and rational approximation
Cuyt A & Lee W (2016) Sparse interpolation and rational approximation. In: Hardin D, Lubinsky D & Simanek B (eds.) Modern Trends in Constructive Function Theory. Contemporary Mathematics, 661. Constructive Functions 2014 - Conference in Honor of Ed Saff's 70th Birthday, Nashville, TN, USA, 26.05.2014-30.05.2014. Providence, RI, USA, pp. 229-242. https://bookstore.ams.org/conm-661
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A short-time Prony method for the detection of transients
Cuyt A, Lee W & Tsai M (2016) A short-time Prony method for the detection of transients. In: Papadrakakis M, Papadopoulos V, Stefanou G & Plevris V (eds.) ECCOMAS Congress 2016 - VII European Congress on Computational Methods in Applied Sciences and Engineering Proceedings. VII European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2016), Crete Island, Greece, 05.06.2016-10.06.2016. Athens, Greece: Institute of Structural Analysis and Antiseismic Research, National Technical University of Athens, pp. 4313-4321. https://www.eccomas2016.org/proceedings/pdf/7676.pdf
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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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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
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.
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)
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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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
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 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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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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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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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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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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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
Article
Visual Attention-Based Image Watermarking
Bhowmik D, Oakes M & Abhayaratne C (2016) Visual Attention-Based Image Watermarking. IEEE Access, 4, pp. 8002-8018. https://doi.org/10.1109/access.2016.2627241
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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
Newspaper Article
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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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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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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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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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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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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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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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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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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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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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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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
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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
Newspaper Article
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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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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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
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A fast algorithm for calculating an expected outbreak size on dynamic contagion networks
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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)
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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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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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)
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
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: University of Stirling, pp. 240-246. http://www.cs.stir.ac.uk/events/cibb2016/index.html
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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)
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
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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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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
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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
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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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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
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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
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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
Newspaper Article
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
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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
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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)
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
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
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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
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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
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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