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Modelling Wolbachia Infection in a Sex-Structured Mosquito Population Carrying West Nile Virus
Farkas JZ, Gourley S, Liu R & Yakubu A (2017) Modelling Wolbachia Infection in a Sex-Structured Mosquito Population Carrying West Nile Virus. Journal of Mathematical Biology, 75 (3), pp. 621-647. https://doi.org/10.1007/s00285-017-1096-7
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Pesticides and Bees: ecological-economic modelling of bee populations on farmland
Kleczkowski A, Ellis C, Hanley N & Goulson D (2017) Pesticides and Bees: ecological-economic modelling of bee populations on farmland. Ecological Modelling, 360, pp. 53-62. https://doi.org/10.1016/j.ecolmodel.2017.06.008
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Phase changes in neuronal postsynaptic spiking due to short term plasticity
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Assessment of Miscanthus × giganteus derived biochar as copper and zinc adsorbent: Study of the effect of pyrolysis temperature, pH and hydrogen peroxide modification
Cibati A, Foereid B, Bissessur A & Hapca S (2017) Assessment of Miscanthus × giganteus derived biochar as copper and zinc adsorbent: Study of the effect of pyrolysis temperature, pH and hydrogen peroxide modification. Journal of Cleaner Production, 162, pp. 1285-1296. https://doi.org/10.1016/j.jclepro.2017.06.114
Newspaper / Magazine
Never mind the iPhone X, battery life could soon take a great leap forward
Brownlee A & Swan J (2017) Never mind the iPhone X, battery life could soon take a great leap forward. The Conversation. 13.09.2017. https://theconversation.com/never-mind-the-iphone-x-battery-life-could-soon-take-a-great-leap-forward-83901
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The use of predictive models in dynamic treatment planning
Haraldsson S, Brynjolfsdottir RD, Woodward J, Siggeirsdottir K & Gudnason V (2017) The use of predictive models in dynamic treatment planning. In: 2017 IEEE Symposium on Computers and Communications (ISCC). IEEE Symposium on Computers and Communications (ISCC 2017), Heraklion, Greece, 03.07.2017-06.07.2017. Piscataway, NJ, USA: IEEE, pp. 242-247. https://doi.org/10.1109/ISCC.2017.8024536
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A Review of Sentiment Analysis Research in Chinese Language
Peng H, Cambria E & Hussain A (2017) A Review of Sentiment Analysis Research in Chinese Language. Cognitive Computation, 9 (4), pp. 423-435. https://doi.org/10.1007/s12559-017-9470-8
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Improved Binary Similarity Measures for Software Modularization
Naseem R, Deris MBM, Maqbool O, Li J, Shahzad S & Shah H (2017) Improved Binary Similarity Measures for Software Modularization. Frontiers of Information Technology and Electronic Engineering, 18 (8), pp. 1082-1107. https://doi.org/10.1631/FITEE.1500373
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Quantification of the pore size distribution of soils: Assessment of existing software using tomographic and synthetic 3D images
Houston A, Otten W, Falconer R, Monga O, Baveye P & Hapca S (2017) Quantification of the pore size distribution of soils: Assessment of existing software using tomographic and synthetic 3D images. Geoderma, 299, pp. 73-82. https://doi.org/10.1016/j.geoderma.2017.03.025
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A methodology for determining an effective subset of heuristics in selection hyper-heuristics
Soria-Alcaraz JA, Ochoa G, Sotelo-Figeroa M & Burke EK (2017) A methodology for determining an effective subset of heuristics in selection hyper-heuristics. European Journal of Operational Research, 260 (3), pp. 972-983. https://doi.org/10.1016/j.ejor.2017.01.042
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Iceberg detection in open water and sea ice using C-band radar polarimetry
Akbari V & Brekke C (2017) Iceberg detection in open water and sea ice using C-band radar polarimetry. 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Fort Worth, TX, 23.07.2017-28.07.2017. https://doi.org/10.1109/igarss.2017.8127449
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Local Optima Networks for the Permutation Flowshop Scheduling Problem: Makespan vs. Total Flow Time
Hernando L, Daolio F, Veerapen N & Ochoa G (2017) Local Optima Networks for the Permutation Flowshop Scheduling Problem: Makespan vs. Total Flow Time. In: 2017 IEEE Congress on Evolutionary Computation (CEC). IEEE Congress on Evolutionary Computation 2017, San Sebastián, Spain, 05.06.2017-08.06.2017. Piscataway, NJ, USA: IEEE, pp. 1964-1971. https://doi.org/10.1109/CEC.2017.7969541
Edited Proceedings
Preventing Frail and Elderly Hospital Admissions: Developing an Evaluation Framework for the "Closer to Home" Quality Improvement Programme in NHS Forth Valley
(2017) Preventing Frail and Elderly Hospital Admissions: Developing an Evaluation Framework for the "Closer to Home" Quality Improvement Programme in NHS Forth Valley. DH '17: International Conference on Digital Health, London United Kingdom, 02.07.2017-05.07.2017. ACM. https://doi.org/10.1145/3079452.3079481
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Search-based energy optimization of some ubiquitous algorithms
Brownlee A, Burles N & Swan J (2017) Search-based energy optimization of some ubiquitous algorithms. IEEE Transactions on Emerging Topics in Computational Intelligence, 1 (3), pp. 188-201. https://doi.org/10.1109/TETCI.2017.2699193
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Equivalence of the filament and overlap graphs of subtrees of limited trees
Enright J & Stewart L (2017) Equivalence of the filament and overlap graphs of subtrees of limited trees. Discrete Mathematics and Theoretical Computer Science, 19 (1), Art. No.: 20. https://doi.org/10.23638/DMTCS-19-1-20
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Group Sparse Regularization for Deep Neural Networks
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Decision Support Based on Bio-PEPA Modeling and Decision Tree Induction: A New Approach, Applied to a Tuberculosis Case Study
Hamami D, Baghdad A & Shankland C (2017) Decision Support Based on Bio-PEPA Modeling and Decision Tree Induction: A New Approach, Applied to a Tuberculosis Case Study. International Journal of Information Systems in the Service Sector, 9 (2), pp. 71-101. https://doi.org/10.4018/IJISSS.2017040104
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A review of the nature and effects of guidance design features
Morana S, Schacht S, Scherp A & Maedche A (2017) A review of the nature and effects of guidance design features. Decision Support Systems, 97, pp. 31-42. https://doi.org/10.1016/j.dss.2017.03.003
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Customer churn prediction in the telecommunication sector using a rough set approach
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Payment for multiple forest benefits alters the effect of tree disease on optimal forest rotation length
Macpherson M, Kleczkowski A, Healey J & Hanley N (2017) Payment for multiple forest benefits alters the effect of tree disease on optimal forest rotation length. Ecological Economics, 134, pp. 82-94. https://doi.org/10.1016/j.ecolecon.2017.01.008
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Multilayered Echo State Machine: A Novel Architecture and Algorithm
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Rigidity and Vanishing Theorems for Almost Even-Clifford Hermitian Manifolds
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Dual-branch deep convolution neural network for polarimetric SAR image classification
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Waning immunity is associated with periodic large outbreaks of mumps: a mathematical modeling study of Scottish data
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The effects of invasive pests and pathogens on strategies for forest diversification
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Profile Guided Dataflow Transformation for FPGAs and CPUs
Stewart R, Bhowmik D, Wallace A & Michaelson G (2017) Profile Guided Dataflow Transformation for FPGAs and CPUs. Journal of Signal Processing Systems, 87 (1), pp. 3-20. https://doi.org/10.1007/s11265-015-1044-y
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Mathematical Analysis of a Clonal Evolution Model of Tumour Cell Proliferation
Farkas JZ & Webb GF (2017) Mathematical Analysis of a Clonal Evolution Model of Tumour Cell Proliferation. Journal of Evolution Equations, 17 (1), pp. 275-308. https://doi.org/10.1007/s00028-016-0369-8
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A hyper-heuristic methodology to generate adaptive strategies for games
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Exploring Fitness and Edit Distance of Mutated Python Programs
Haraldsson S, Woodward J, Brownlee A & Cairns D (2017) Exploring Fitness and Edit Distance of Mutated Python Programs. In: McDermott J, Castelli M, Sekanina L, Haasdijk E & García-Sánchez P (eds.) Genetic Programming: 20th European Conference, EuroGP 2017, Amsterdam, The Netherlands, April 19-21, 2017, Proceedings. Lecture Notes in Computer Science, 10196. EuroGP 2017: Genetic Programming, Amsterdam, The Netherlands, 19.04.2017-21.04.2017. Cham: Springer International Publishing, pp. 19-34. https://doi.org/10.1007/978-3-319-55696-3_2
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Understanding Phase Transitions with Local Optima Networks: Number Partitioning as a Case Study
Ochoa G, Veerapen N, Daolio F & Tomassini M (2017) Understanding Phase Transitions with Local Optima Networks: Number Partitioning as a Case Study. In: Bin H & Lopez-Ibanez M (eds.) Evolutionary Computation in Combinatorial Optimization. EvoCOP 2017. Lecture Notes in Computer Science, 10197. 17th European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP), Amsterdam, The Netherlands, 19.04.2017-21.04.2017. Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-319-55453-2_16
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Breakout Local Search for the Multi-Objective Gate Allocation Problem
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Readiness for Delivering Digital Health at Scale: Lessons From a Longitudinal Qualitative Evaluation of a National Digital Health Innovation Program in the United Kingdom
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Lung cancer detection using Local Energy-based Shape Histogram (LESH) feature extraction and cognitive machine learning techniques
Wajid S, Hussain A, Huang K & Boulila W (2017) Lung cancer detection using Local Energy-based Shape Histogram (LESH) feature extraction and cognitive machine learning techniques. In: 2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC). 2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC), Palo Alto, CA, USA, 22.08.2016-23.08.2016. Piscataway, NJ, USA: IEEE, pp. 359-366. https://doi.org/10.1109/ICCI-CC.2016.7862060
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A new fast large neighbourhood search for service network design with asset balance constraints
Bai R, Woodward J & Subramanian N (2017) A new fast large neighbourhood search for service network design with asset balance constraints. In: 2016 IEEE Symposium Series on Computational Intelligence (SSCI). 2016 IEEE Symposium Series on Computational Intelligence (SSCI), Athens, Greece, 06.12.2016-09.12.2016. Piscataway, NJ, USA: Institute of Electrical and Electronic Engineers, Inc. https://doi.org/10.1109/SSCI.2016.7850084
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Genetic optimization of fuzzy membership functions for cloud resource provisioning
Ullah A, Li J, Hussain A & Shen Y (2017) Genetic optimization of fuzzy membership functions for cloud resource provisioning. In: 2016 IEEE Symposium Series on Computational Intelligence (SSCI). 2016 IEEE Symposium Series on Computational Intelligence (SSCI), Athens, Greece, 06.12.2016-09.12.2016. Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/SSCI.2016.7850088
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Convolutional MKL based multimodal emotion recognition and sentiment analysis
Poria S, Chaturvedi I, Cambria E & Hussain A (2017) Convolutional MKL based multimodal emotion recognition and sentiment analysis. In: Bonchi F, Domingo-Ferrer J, Baeza-Yates R, Zhou Z & Wu X (eds.) Proceedings - IEEE 16th International Conference on Data Mining, ICDM 2016. 2016 IEEE 16th International Conference on Data Mining, Barcelona, Spain, 12.12.2016-15.12.2016. Los Alamitos, CA, USA: IEEE Computer Society, pp. 439-448. https://doi.org/10.1109/ICDM.2016.178
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Reconstructing disease transmission dynamics from animal movements and test data
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Ensemble based majority voting for point-to-point measurements of Gyrodactylus species identification
Ali R, Hussain A & Abel A (2017) Ensemble based majority voting for point-to-point measurements of Gyrodactylus species identification. ARPN Journal of Engineering and Applied Sciences, 12 (2), pp. 310-316. http://www.arpnjournals.org/jeas/research_papers/rp_2017/jeas_0117_5619.pdf
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Hyper-parameter tuning to improve existing software
Brownlee A (2017) Hyper-parameter tuning to improve existing software. [Video] 31.01.2017. http://crest.cs.ucl.ac.uk/cow/50/videos/brownlee_cow50_720p.mp4
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Design and evaluation of a peer-to-peer MANET crosslayer approach: OneHopOverlay4MANET
Al Mojamed M & Kolberg M (2017) Design and evaluation of a peer-to-peer MANET crosslayer approach: OneHopOverlay4MANET. Peer-to-Peer Networking and Applications, 10 (1), pp. 138-155. http://link.springer.com/article/10.1007%2Fs12083-015-0413-4; https://doi.org/10.1007/s12083-015-0413-4
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Towards better exploiting convolutional neural networks for remote sensing scene classification
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Learning to semantically segment high-resolution remote sensing images
Nogueira K, Dalla Mura M, Chanussot J, Schwartz WR & dos Santos JA (2016) Learning to semantically segment high-resolution remote sensing images. In: 2016 23rd International Conference on Pattern Recognition (ICPR) Proceedings. 2016 23rd International Conference on Pattern Recognition (ICPR), Cancun, Mexico, 04.12.2016-08.12.2016. Piscataway, NJ: IEEE, pp. 3566-3571. https://doi.org/10.1109/icpr.2016.7900187
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Transparent fault tolerance for scalable functional computation
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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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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
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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: American Mathematical Society, pp. 229-242. https://bookstore.ams.org/conm-661
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Sparse Modelling and Multi-exponential Analysis
Cuyt A, Labahn G, Sidi A & Lee W (2016) Sparse Modelling and Multi-exponential Analysis. Dagstuhl Seminar 15251, Wadern, Germany Dagstuhl Reports, 6 (6), pp. 48-69. https://doi.org/10.4230/DagRep.5.6.48
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Profiling vs. time vs. content: What does matter for top-k publication recommendation based on Twitter profiles?
Nishioka C & Scherp A (2016) Profiling vs. time vs. content: What does matter for top-k publication recommendation based on Twitter profiles?. In: Proceedings of the 16th ACM/IEEE-CS on Joint Conference on Digital Libraries (JCDL '16), volume 2016-September. 16th ACM/IEEE-CS Joint Conference on Digital Libraries, Newark, NJ, USA, 19.06.2016-23.06.2016. Piscataway, NJ, USA: ACM, pp. 171-180. https://doi.org/10.1145/2910896.2910898
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Comparing tweet classifications by authors' hashtags, machine learning, and human annotators
Nishioka C, Scherp A & Dellschaft K (2016) Comparing tweet classifications by authors' hashtags, machine learning, and human annotators. In: 2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), volume 1. 2015 International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), 06.12.2015-09.12.2015. Singapore: Institute of Electrical and Electronics Engineers, pp. 67-74. https://doi.org/10.1109/WI-IAT.2015.69
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Information-theoretic analysis of entity dynamics on the linked open data cloud
Nishioka C & Scherp A (2016) Information-theoretic analysis of entity dynamics on the linked open data cloud. In: Demidova E, Dietze S, Szymański J & Breslin J (eds.) Dataset Profiling and Federated Search for Linked Data: Proceedings of the 3rd International Workshop on Dataset PROFIling and fEderated Search for Linked Data (PROFILES '16) co-located with the 13th ESWC 2016 Conference, volume 1597. CEUR Workshop Proceedings, 1597. PROFILES 2016: 3rd International Workshop on Dataset Profiling and Federated Search for Linked Data, Anissaras, Greece, 30.05.2016-30.05.2016. Aachen, Germany: CEUR Workshop Proceedings. http://ceur-ws.org/Vol-1597/
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Qualitative analysis of vocabulary evolution on the linked open data cloud
Abdel-Qader M & Scherp A (2016) Qualitative analysis of vocabulary evolution on the linked open data cloud. In: Demidova E, Dietze S, Szymański J & Breslin J (eds.) Proceedings of the 3rd International Workshop on Dataset PROFIling and fEderated Search for Linked Data (PROFILES '16) co-located with the 13th ESWC 2016 Conference, volume 1597. CEUR Workshop Proceedings, 1597. Dataset Profiling and Federated Search for Linked Data: 3rd International Workshop on Dataset Profiling and Federated Search for Linked Data (PROFILES '16), Anissaras, Greece, 30.05.2016-30.05.2016. Aachen, Germany: CEUR Workshop Proceedings. http://ceur-ws.org/Vol-1597/
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ELLIS: Interactive exploration of Linked Data on the level of induced schema patterns
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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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Hilbert exclusion: Improved metric search through finite isometric embeddings
Connor R, Cardillo FA, Vadicamo L & Rabitti F (2016) Hilbert exclusion: Improved metric search through finite isometric embeddings. ACM Transactions on Information Systems, 35 (3), Art. No.: 17. https://doi.org/10.1145/3001583
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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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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
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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 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
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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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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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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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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
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
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
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)
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)
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)
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
Article
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
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
Conference Paper (published)
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)
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
Conference Paper (published)
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