Article
Yeoh TW, Daolio F, Aguirre HE & Tanaka K (2017) On the effectiveness of feature selection methods for gait classification under different covariate factors. Applied Soft Computing, 61, pp. 42-57. https://doi.org/10.1016/j.asoc.2017.07.041
Article
Yeoh TW, Daolio F, Aguirre HE & Tanaka K (2017) On the effectiveness of feature selection methods for gait classification under different covariate factors. Applied Soft Computing, 61, pp. 42-57. https://doi.org/10.1016/j.asoc.2017.07.041
Conference Paper (published)
Sparse interpolation, the FFT algorithm and FIR filters
Briani M, Cuyt A & Lee W (2017) Sparse interpolation, the FFT algorithm and FIR filters. In: Gerdt V, Koepf W, Seiler W & Vorozhtsov E (eds.) Computer Algebra in Scientific Computing - 19th International Workshop, CASC 2017, Beijing, China, September 18-22, 2017, Proceedings. Lecture Notes in Computer Science (LNCS), 10490. 19th International Workshop on Computer Algebra in Scientific Computing, Beijing, China, 18.09.2017-22.09.2017. Cham, Switzerland: Springer International Publishing, pp. 27-39. https://doi.org/10.1007/978-3-319-66320-3
Conference Paper (published)
A general framework for blockchain analytics
Bartoletti M, Bracciali A, Lande S & Pompianu L (2017) A general framework for blockchain analytics. In: SERIAL '17 Proceedings of the 1st Workshop on Scalable and Resilient Infrastructures for Distributed Ledgers. SERIAL '17 - 1st Workshop on Scalable and Resilient Infrastructures for Distributed Ledgers, Las Vegas, NV, USA, 11.12.2017-15.12.2017. New York: ACM, p. Article 7. https://doi.org/10.1145/3152824.3152831
Conference Paper (published)
Validated exponential analysis for harmonic sounds
Briani M, Cuyt A & Lee W (2017) Validated exponential analysis for harmonic sounds. In: Torin A, Hamilton B, Bilbao S & Newton M (eds.) Proceedings of the 20th International Conference on Digital Audio Effects (DAFx-17). DAFx proceedings series. 20th International Conference on Digital Audio Effects, Edinburgh, UK, 05.09.2017-09.09.2017. Hamburg, Germany: University of Edinburgh, pp. 222-227. http://www.dafx17.eca.ed.ac.uk/Proceedings.html
Conference Paper (published)
Towards Generic Scalable Parallel Combinatorial Search
Archibald B, Maier P, Stewart R, Trinder P & De Beule J (2017) Towards Generic Scalable Parallel Combinatorial Search. In: PASCO 2017 Proceedings of the International Workshop on Parallel Symbolic Computation. International Workshop on Parallel Symbolic Computation, Kaiserslautern, Germany, 23.07.2017-24.07.2017. New York: ACM, p. 6. https://doi.org/10.1145/3115936.3115942
Conference Paper (published)
Multiple Reflection Symmetry Detection via Linear-Directional Kernel Density Estimation
Elawady M, Alata O, Ducottet C, Barat C & Colantoni P (2017) Multiple Reflection Symmetry Detection via Linear-Directional Kernel Density Estimation. In: Krüger N, Heyden A & Felsberg M (eds.) Computer Analysis of Images and Patterns. CAIP 2017. Lecture Notes in Computer Science, 10424. CAIP 2017: International Conference on Computer Analysis of Images and Patterns, Ystad, Sweden, 22.08.2017-24.08.2017. Cham, Switzerland: Springer International Publishing, pp. 344-355. https://doi.org/10.1007/978-3-319-64689-3_28
Book Chapter
A Flexible Toolkit for Evaluating Person-Centred Digital Health and Wellness at Scale
McGee-Lennon M, Bouamrane M, Grieve E, O’Donnell CA, O’Connor S, Agbakoba R, Devlin AM, Barry S, Bikker A, Finch T & Mair FS (2017) A Flexible Toolkit for Evaluating Person-Centred Digital Health and Wellness at Scale. In: Advances in Human Factors and Ergonomics in Healthcare. Advances in Intelligent Systems and Computing, Vol 482. Cham: Springer International Publishing, pp. 105-118. https://doi.org/10.1007/978-3-319-41652-6_11
Article
Najafi A, Hasanlou M & Akbari V (2017) Land cover changes detection in polarimetric SAR data using algebra, similarity and distance based methods. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-4/W4, pp. 195--200. https://isprs-archives.copernicus.org/articles/XLII-4-W4/195/2017/; https://doi.org/10.5194/isprs-archives-XLII-4-W4-195-2017
Edited Proceedings
Financial Cryptography and Data Security
Brenner M, Rohloff K, Bonneau J, Miller A, Ryan PYA, Teague V, Bracciali A, Sala M, Pintore F & Jakobsson M (eds.) (2017) Financial Cryptography and Data Security. Lecture Notes in Computer Science; Security and Cryptology, 10323. Financial Cryptography and Data Security: FC 2017 International Workshops, WAHC, BITCOIN, VOTING, WTSC, and TA, Sliema, Malta, 03.04.2017-07.04.2017. Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-319-70278-0
Conference Paper (published)
Improve deep learning with unsupervised objective
Zhang S, Huang K, Zhang R & Hussain A (2017) Improve deep learning with unsupervised objective. In: Liu D, Xie S, Li Y, Zhao D & El-Alfy E (eds.) Neural Information Processing. ICONIP 2017. Lecture Notes in Computer Science, 10634. 24th International Conference On Neural Information Processing: ICONIP 2017, Guangzhou, China, 14.11.2017-18.11.2017. Cham, Switzerland: Springer, pp. 720-728. https://doi.org/10.1007/978-3-319-70087-8_74
Conference Paper (published)
Predicting obesity using longitudinal near infra-red spectroscopy (NIRS) data
Abdullah A, Hussain A & Khan IH (2017) Predicting obesity using longitudinal near infra-red spectroscopy (NIRS) data. In: ICCDA '17 Proceedings of the International Conference on Compute and Data Analysis. ICCDA '17: International Conference on Compute and Data Analysis, Lakeland, FL, USA, 19.05.2017-23.05.2017. New York: ACM, pp. 123-128. https://doi.org/10.1145/3093241.3093286
Edited Proceedings
Computational Intelligence Methods for Bioinformatics and Biostatistics
Bracciali A, Caravagna G, Gilbert D & Tagliaferri R (eds.) (2017) Computational Intelligence Methods for Bioinformatics and Biostatistics. Lecture Notes in Bioinformatics, 10477. International Conference on Computational Methods for Biostatistics and Bioinformatics, Stirling, 01.09.2016-03.09.2016. Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-319-67834-4
Article
A Bayesian Assessment of Real-World Behavior During Multitasking
Bergmann JHM, Fei J, Green DA, Hussain A & Howard N (2017) A Bayesian Assessment of Real-World Behavior During Multitasking. Cognitive Computation, 9 (6), pp. 749-757. https://doi.org/10.1007/s12559-017-9500-6
Conference Paper (published)
A novel brain-inspired compression-based optimised multimodal fusion for emotion recognition
Gogate M, Adeel A & Hussain A (2017) A novel brain-inspired compression-based optimised multimodal fusion for emotion recognition. In: 2017 IEEE Symposium Series on Computational Intelligence (SSCI). 2017 IEEE Symposium Series on Computational Intelligence (SSCI). Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/SSCI.2017.8285377
Book Chapter
Iterated VND Versus Hyper-heuristics: Effective and General Approaches to Course Timetabling
Soria-Alcaraz JA, Ochoa G, Sotelo-Figeroa M, Carpio M & Puga H (2017) Iterated VND Versus Hyper-heuristics: Effective and General Approaches to Course Timetabling. In: Melin P, Castillo O & Kacprzyk J (eds.) Nature-Inspired Design of Hybrid Intelligent Systems. Studies in Computational Intelligence, 667. Cham, Switzerland: Springer, pp. 687-700. https://link.springer.com/chapter/10.1007/978-3-319-47054-2_45; https://doi.org/10.1007/978-3-319-47054-2_45
Conference Paper (published)
Process Algebra with Layers: Multi-scale Integration Modelling applied to Cancer Therapy
Scott E, Nicol J, Coulter J, Hoyle A & Shankland C (2017) Process Algebra with Layers: Multi-scale Integration Modelling applied to Cancer Therapy. In: Bracciali A, Caravagna G, Gilbert D & Tagliaferri R (eds.) Computational Intelligence Methods for Bioinformatics and Biostatistics. CIBB 2016. Lecture Notes in Computer Science, 10477. CIBB2016: 13th International Conference on Computational Intelligence methods for Bioinformatics and Biostatistics, Stirling, UK, 01.09.2016-03.09.2016. Cham, Switzerland: Springer, pp. 118-133. https://doi.org/10.1007/978-3-319-67834-4_10
Conference Paper (published)
Shaping communities of local optima by perturbation strength
Herrmann S, Herrmann M, Ochoa G & Rothlauf F (2017) Shaping communities of local optima by perturbation strength. In: GECCO '17: Proceedings of the Genetic and Evolutionary Computation Conference. GECCO 2017: Genetic and Evolutionary Computation Conference, Berlin, Germany, 15.07.2017-19.07.2017. New York: ACM, pp. 266-273. https://doi.org/10.1145/3071178.3071243
Conference Paper (published)
Chicano F, Whitley D, Ochoa G & Tinós R (2017) Optimizing one million variable NK landscapes by hybridizing deterministic recombination and local search. In: GECCO '17: Proceedings of the Genetic and Evolutionary Computation Conference. GECCO 2017: The Genetic and Evolutionary Computation Conference, Berlin, Germany, 15.07.2017-19.07.2017. New York: ACM, pp. 753-760. https://doi.org/10.1145/3071178.3071285
Conference Paper (published)
Genetic Improvement of Runtime and its Fitness Landscape in a Bioinformatics Application
Haraldsson S, Woodward J, Brownlee A, Smith AV & Gudnason V (2017) Genetic Improvement of Runtime and its Fitness Landscape in a Bioinformatics Application. In: 2017 Genetic and Evolutionary Computation Conference Companion, GECCO 2017. GECCO 2017: The Genetic and Evolutionary Computation Conference, Berlin, Germany, 15.07.2017-19.07.2017. New York: Association for Computing Machinery, Inc, pp. 1521-1528. https://doi.org/10.1145/3067695.3082526
Conference Paper (published)
Fixing bugs in your sleep: How genetic improvement became an overnight success
Haraldsson S, Woodward J, Brownlee A & Siggeirsdottir K (2017) Fixing bugs in your sleep: How genetic improvement became an overnight success. In: 2017 Genetic and Evolutionary Computation Conference Companion, GECCO 2017. GECCO 2017: The Genetic and Evolutionary Computation Conference, Berlin, Germany, 15.07.2017-19.07.2017. New York: Association for Computing Machinery, Inc, pp. 1513-1520. https://doi.org/10.1145/3067695.3082517
Conference Paper (published)
Comparing hyper-heuristics with blackboard systems
Graham K & Smith L (2017) Comparing hyper-heuristics with blackboard systems. In: 2017 Genetic and Evolutionary Computation Conference Companion, GECCO 2017. GECCO 2017: The Genetic and Evolutionary Computation Conference, Berlin, Germany, 15.07.2017-19.07.2017. New York: Association for Computing Machinery, Inc, pp. 1141-1145. https://doi.org/10.1145/3067695.3082055
Conference Paper (published)
Modelling Genetic Improvement Landscapes with Local Optima Networks
Veerapen N, Daolio F & Ochoa G (2017) Modelling Genetic Improvement Landscapes with Local Optima Networks. In: Proceedings of GECCO '17 Conference Companion. Genetic Improvement Workshop 2017, Berlin, Germany, 15.07.2017-15.07.2017. New York: ACM, pp. 1543-1548. http://dx.doi.org/10.1145/3067695.3082518; https://doi.org/10.1145/3067695.3082518
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The Effect of Landscape Funnels in QAPLIB Instances
Thomson S, Ochoa G, Daolio F & Veerapen N (2017) The Effect of Landscape Funnels in QAPLIB Instances. In: Proceedings of the Genetic and Evolutionary Computation Conference Companion 2017, Berlin, Germany, July 15–19, 2017 (GECCO ’17). GECCO ’17: The Genetic and Evolutionary Computation Conference, Berlin, Germany, 15.07.2017-19.07.2017. New York: ACM, pp. 1495-1500. https://doi.org/10.1145/3067695.3082512
Conference Paper (published)
Comparing Communities of Optima with Funnels in Combinatorial Fitness Landscapes
Thomson S, Daolio F & Ochoa G (2017) Comparing Communities of Optima with Funnels in Combinatorial Fitness Landscapes. In: Proceedings of the Genetic and Evolutionary Computation Conference 2017, Berlin, Germany, July 15–19, 2017 (GECCO ’17). GECCO ’17: The Genetic and Evolutionary Computation Conference, Berlin, Germany, 15.07.2017-19.07.2017. New York: ACM, pp. 377-384. https://doi.org/10.1145/3071178.3071211
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A hybrid model of attribute aggregation in federated identity management
Ferdous MS, Chowdhury F & Poet R (2017) A hybrid model of attribute aggregation in federated identity management. In: Chang V, Ramachandran M, Walters R & Wills G (eds.) Enterprise Security. Lecture Notes in Computer Science, 10131. Enterprise Security Second International Workshop, ES 2015, Vancouver, BC, Canada, 30.11.2015-03.12.2015. Cham, Switzerland: Springer, pp. 120-154. https://doi.org/10.1007/978-3-319-54380-2_6
Conference Paper (published)
Drake JH, Swan J, Neumann G & Ozcan E (2017) Sparse, continuous policy representations for uniform online bin packing via regression of interpolants. In: Hu B & Lopez-Ibanez M (eds.) Evolutionary Computation in Combinatorial Optimization. EvoCOP 2017. Lecture Notes in Computer Science, 10197. European Conference on Evolutionary Computation in Combinatorial Optimization: EvoCOP 2017, Amsterdam, The Netherlands, 19.04.2017-21.04.2017. Cham, Switzerland: Springer, pp. 189-200. https://doi.org/10.1007/978-3-319-55453-2_13
Conference Paper (published)
Visualising the Search Landscape of the Triangle Program
Langdon WB, Veerapen N & Ochoa G (2017) Visualising the Search Landscape of the Triangle Program. In: McDermott J, Castelli M, Sekanina L, Haasdijk E & García-Sánchez P (eds.) EuroGP 2017: Genetic Programming. Lecture Notes in Computer Science, 10196. The 20th European Conference on Genetic Programming (EuroGP), Amsterdam, The Netherlands, 19.04.2017-21.04.2017. Cham, Switzerland: Springer, pp. 96-113. https://doi.org/10.1007/978-3-319-55696-3_7
Article
An estimation of distribution algorithm for public transport driver scheduling
Shen Y, Li J & Peng K (2017) An estimation of distribution algorithm for public transport driver scheduling. International Journal of Operational Research, 28 (2), pp. 245-262. https://doi.org/10.1504/IJOR.2017.081483
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High capacity content addressable memory with mixed order hyper networks
Swingler K (2017) High capacity content addressable memory with mixed order hyper networks. In: Merelo J, Rosa A, Cadenas J, Correia A, Mandani K, Ruano A & Filipe J (eds.) Computational Intelligence: International Joint Conference, IJCCI 2015 Lisbon, Portugal, November 12-14, 2015, Revised Selected Papers. Studies in Computational Intelligence, 669. Computational Intelligence International Joint Conference, IJCCI 2015, Lisbon, Portugal, 12.11.2015-14.11.2015. Cham, Switzerland: Springer, pp. 337-358. https://doi.org/10.1007/978-3-319-48506-5_17
Article
Performance analysis of structured peer-to-peer overlays for mobile networks
Chowdhury F, Furness J & Kolberg M (2017) Performance analysis of structured peer-to-peer overlays for mobile networks. International Journal of Parallel, Emergent and Distributed Systems, 32 (5), pp. 522-548. https://doi.org/10.1080/17445760.2016.1203917
Article
Evolutionary design optimization of traffic signals applied to Quito city
Armas R, Aguirre H, Daolio F & Tanaka K (2017) Evolutionary design optimization of traffic signals applied to Quito city. PLoS ONE, 12 (12), Art. No.: e0188757. https://doi.org/10.1371/journal.pone.0188757
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Mehmood K & Hussain A (2017) A multilevel association model for IT employees' life stress and job satisfaction: An Information Technology (IT) industry case study. In: volume 139. 2017 3rd International Conference on Mechanical, Electronic and Information Technology Engineering (ICMITE 2017), Chengdu, China, 16.12.2017-17.12.2017. EDP Sciences, p. 00114. https://doi.org/10.1051/matecconf/201713900114
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Persian Named Entity Recognition
Dashtipour K, Gogate M, Adeel A, Algarafi A, Howard N & Hussain A (2017) Persian Named Entity Recognition. In: Howard N, Wang Y, Hussain A, Widrow B & Zadeh L (eds.) 2017 IEEE 16th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC). 978-1-5386-0772-5. 2017 IEEE 16th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC), Oxford, 26.07.2017-28.07.2017. Piscataway, NJ, USA: Institute of Electrical and Electronics Engineers Inc, pp. 79-83. https://doi.org/10.1109/ICCI-CC.2017.8109733
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Machine learning based computer-aided diagnosis of liver tumours
Ali L, Khelil K, Wajid S, Hussain ZU, Shah MA, Howard A, Adeel A, Shah AA, Sudhakar U, Howard N & Hussain A (2017) Machine learning based computer-aided diagnosis of liver tumours. In: Howard N, Wang Y, Hussain A, Widrow B & Zadeh L (eds.) 2017 IEEE 16th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC). 2017 IEEE 16th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC), Oxford, 26.07.2017-28.07.2017. Piscataway, NJ, USA: Institute of Electrical and Electronics Engineers Inc. pp. 139-145. https://doi.org/10.1109/ICCI-CC.2017.8109742
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Complex-valued computational model of hippocampal CA3 recurrent collaterals
Shiva AS, Gogate M, Howard N, Graham B & Hussain A (2017) Complex-valued computational model of hippocampal CA3 recurrent collaterals. In: Howard N, Wang Y, Hussain A, Widrow B & Zadeh L (eds.) 2017 IEEE 16th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC). 16th IEEE International Conference on Cognitive Informatics & Cognitive Computing - ICCI*CC 2017, Oxford, 26.07.2017-28.07.2017. Piscataway, NJ, USA: Institute of Electrical and Electronics Engineers Inc, pp. 161-166. https://doi.org/10.1109/ICCI-CC.2017.8109745
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The multimedia blockchain: A distributed and tamper-proof media transaction framework
Bhowmik D & Feng T (2017) The multimedia blockchain: A distributed and tamper-proof media transaction framework. In: 2017 22nd International Conference on Digital Signal Processing (DSP). 22nd International Conference on Digital Signal Processing (DSP), 23.08.2017-25.08.2017. London: IEEE. https://doi.org/10.1109/icdsp.2017.8096051
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Wavelet-Based Reflection Symmetry Detection via Textural and Color Histograms
Elawady M, Ducottet C, Alata O, Barat C & Colantoni P (2017) Wavelet-Based Reflection Symmetry Detection via Textural and Color Histograms. In: 2017 IEEE International Conference on Computer Vision Workshops (ICCVW). 2017 IEEE International Conference on Computer Vision Workshop (ICCVW), Venice, 22.10.2017-29.10.2017. Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/iccvw.2017.202
Conference Paper (published)
Wavelet-Based Reflection Symmetry Detection via Textural and Color Histograms: Algorithm and Results
Elawady M, Ducottet C, Alata O, Barat C & Colantoni P (2017) Wavelet-Based Reflection Symmetry Detection via Textural and Color Histograms: Algorithm and Results. In: 2017 IEEE International Conference on Computer Vision Workshops (ICCVW). 2017 IEEE International Conference on Computer Vision Workshop (ICCVW), Venice, Italy, 22.10.2017-29.10.2017. Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/iccvw.2017.203
Article
Poria S, Peng H, Hussain A, Howard N & Cambria E (2017) Ensemble application of convolutional neural networks and multiple kernel learning for multimodal sentiment analysis. Neurocomputing, 261, pp. 217-230. https://doi.org/10.1016/j.neucom.2016.09.117
Conference Paper (published)
Interplay of STDP and Dendritic Plasticity in a Hippocampal CA1 Pyramidal Neuron Model
Saudargiene A, Jackevicius R & Graham B (2017) Interplay of STDP and Dendritic Plasticity in a Hippocampal CA1 Pyramidal Neuron Model. In: Lintas A, Rovetta S, Verschure P & Villa A (eds.) Artificial Neural Networks and Machine Learning – ICANN 2017. Lecture Notes in Computer Science, 10613. ICANN 2017: Artificial Neural Networks and Machine Learning, Alghero, Italy, 11.09.2017-14.09.2017. Cham, Switzerland: Springer, pp. 381-388. https://doi.org/10.1007/978-3-319-68600-4_44
Newspaper Article
Computers will soon be able to fix themselves – are IT departments for the chop?
Haraldsson S, Brownlee A & Woodward JR (2017) Computers will soon be able to fix themselves – are IT departments for the chop?. The Conversation. 12.10.2017. https://theconversation.com/computers-will-soon-be-able-to-fix-themselves-are-it-departments-for-the-chop-85632
Other
Bracciali A (Editor) & Larsson E (Editor) (2017) Data Science and Engineering, Special Issue: HPC-enabled Modelling for Big Data Problems in Life, Socio-Economical and Physical Sciences. Data Science and Engineering, 2 (3). https://link.springer.com/journal/41019/2/3/page/1
Conference Paper (published)
Power efficient dataflow design for a heterogeneous smart camera architecture
Bhowmik D, Garcia P, Wallace A, Stewart R & Michaelson G (2017) Power efficient dataflow design for a heterogeneous smart camera architecture. In: 2017 Conference on Design and Architectures for Signal and Image Processing (DASIP). 2017 Conference on Design and Architectures for Signal and Image Processing (DASIP), 27.09.2017-29.09.2017. Dresden, Germany: IEEE. https://doi.org/10.1109/dasip.2017.8122128
Article
Data-Intensive Modelling and Simulation in Life Sciences and Socio-economical and Physical Sciences
Bracciali A & Larsson E (2017) Data-Intensive Modelling and Simulation in Life Sciences and Socio-economical and Physical Sciences. Data Science and Engineering, 2 (3), pp. 197-198. https://doi.org/10.1007/s41019-017-0049-x
Article
A review of affective computing: From unimodal analysis to multimodal fusion
Poria S, Cambria E, Bajpai R & Hussain A (2017) A review of affective computing: From unimodal analysis to multimodal fusion. Information Fusion, 37, pp. 98-125. https://doi.org/10.1016/j.inffus.2017.02.003
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Phase changes in neuronal postsynaptic spiking due to short term plasticity
McDonnell MD & Graham B (2017) Phase changes in neuronal postsynaptic spiking due to short term plasticity. PLoS Computational Biology, 13 (9), Art. No.: e1005634. https://doi.org/10.1371/journal.pcbi.1005634
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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 Article
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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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
Conference Paper (unpublished)
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
Martin MC, Bouamrane M, Kavanagh K & Woolman P (2017) Preventing Frail and Elderly Hospital Admissions: Developing an Evaluation Framework for the "Closer to Home" Quality Improvement Programme in NHS Forth Valley. In: DH '17: Proceedings of the 2017 International Conference on Digital Health. 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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Group Sparse Regularization for Deep Neural Networks
Scardapane S, Comminiello D, Hussain A & Uncini A (2017) Group Sparse Regularization for Deep Neural Networks. Neurocomputing, 241, pp. 81-89. https://doi.org/10.1016/j.neucom.2017.02.029
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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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Customer churn prediction in the telecommunication sector using a rough set approach
Amin A, Anwar S, Adnan A, Nawaz M, Alawfi K, Hussain A & Huang K (2017) Customer churn prediction in the telecommunication sector using a rough set approach. Neurocomputing, 237, pp. 242-254. https://doi.org/10.1016/j.neucom.2016.12.009
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Multilayered Echo State Machine: A Novel Architecture and Algorithm
Malik Z, Hussain A & Wu QJ (2017) Multilayered Echo State Machine: A Novel Architecture and Algorithm. IEEE Transactions on Cybernetics, 47 (4), pp. 946-959. https://doi.org/10.1109/TCYB.2016.2533545
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Dual-branch deep convolution neural network for polarimetric SAR image classification
Gao F, Huang T, Wang J, Sun J, Hussain A & Yang E (2017) Dual-branch deep convolution neural network for polarimetric SAR image classification. Applied Sciences, 7 (5), Art. No.: 447. https://doi.org/10.3390/app7050447
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Hamami D, Cameron R, Pollock KG & Shankland C (2017) Waning immunity is associated with periodic large outbreaks of mumps: a mathematical modeling study of Scottish data. Frontiers in Physiology, 8, Art. No.: 233. https://doi.org/10.3389/fphys.2017.00233
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Profile Guided Dataflow Transformation for FPGAs and CPUs
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Exploring Fitness and Edit Distance of Mutated Python Programs
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Understanding Phase Transitions with Local Optima Networks: Number Partitioning as a Case Study
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Breakout Local Search for the Multi-Objective Gate Allocation Problem
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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
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Genetic optimization of fuzzy membership functions for cloud resource provisioning
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Convolutional MKL based multimodal emotion recognition and sentiment analysis
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Hyper-parameter tuning to improve existing software
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Design and evaluation of a peer-to-peer MANET crosslayer approach: OneHopOverlay4MANET
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Learning to semantically segment high-resolution remote sensing images
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A short-time Prony method for the detection of transients
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Sparse interpolation and rational approximation
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Sparse Modelling and Multi-exponential Analysis
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Global Bilateral Symmetry Detection Using Multiscale Mirror Histograms
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Automatic Nonlinear Filtering and Segmentation for Breast Ultrasound Images
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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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Visual Attention-Based Image Watermarking
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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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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
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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