Outputs related to Computing Science

Showing 301 to 400 of 1527

Article

Learning from Few Samples with Memory Network

Zhang S, Huang K, Zhang R & Hussain A (2018) Learning from Few Samples with Memory Network. Cognitive Computation, 10 (1), pp. 15-22. https://doi.org/10.1007/s12559-017-9507-z

Article

Clustering-Oriented Multiple Convolutional Neural Networks for Single Image Super-Resolution

Ren P, Sun W, Luo C & Hussain A (2018) Clustering-Oriented Multiple Convolutional Neural Networks for Single Image Super-Resolution. Cognitive Computation, 10 (1), pp. 165-178. https://doi.org/10.1007/s12559-017-9512-2

Conference Proceeding

Deep learning driven multimodal fusion for automated deception detection

Gogate M, Adeel A & Hussain A (2018) Deep learning driven multimodal fusion for automated deception detection. In: 2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017, Honolulu, HI, USA, November 27 - Dec. 1, 2017. 2017 IEEE Symposium Series on Computational Intelligence (SSCI), Honolulu, HI, USA, 27.11.2017-01.12.2017. Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/ssci.2017.8285382

Book Chapter

Literature Survey

Satapathy R, Cambria E & Hussain A (2018) Literature Survey. In: Satapathy R, Cambria E & Hussain A (eds.) Sentiment Analysis in the Bio-Medical Domain: Techniques, Tools, and Applications. Socio-Affective Computing. Amsterdam: Springer Publishing Company, pp. 21-38. https://doi.org/10.1007/978-3-319-68468-0_2

Book Chapter

SenticNet

Satapathy R, Cambria E & Hussain A (2018) SenticNet. In: Satapathy R, Cambria E & Hussain A (eds.) Sentiment Analysis in the Bio-Medical Domain: Techniques, Tools, and Applications. Socio-Affective Computing. Amsterdam: Springer Publishing Company, pp. 39-103. https://doi.org/10.1007/978-3-319-68468-0_3

Conference Proceeding

Combining deep convolutional neural network and SVM to SAR image target recognition

Gao F, Huang T, Wang J, Sun J, Yang E & Hussain A (2018) Combining deep convolutional neural network and SVM to SAR image target recognition. In: 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), volume 2018-January. The 3rd International Conference on Smart Data (SmartData-2017), 21.06.2017-23.06.2017. Exeter, UK: Institute of Electrical and Electronic Engineers, pp. 1082-1085. https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData.2017.165

Article

Semi-supervised learning for big social data analysis

Hussain A & Cambria E (2018) Semi-supervised learning for big social data analysis. Neurocomputing, 275, pp. 1662-1673. https://doi.org/10.1016/j.neucom.2017.10.010

Article

The Internet and the Anti-Vaccine Movement: Tracking the 2017 EU Measles Outbreak

Mavragani A & Ochoa G (2018) The Internet and the Anti-Vaccine Movement: Tracking the 2017 EU Measles Outbreak. Big Data and Cognitive Computing, 2 (1), Art. No.: 2. https://doi.org/10.3390/bdcc2010002

Conference Proceeding

Knowledge-oriented leadership and innovation: A mediating role of knowledge creation: A case of software industry

Mehmood K & Hussain A (2018) Knowledge-oriented leadership and innovation: A mediating role of knowledge creation: A case of software industry. In: 2017 4th International Conference on Systems and Informatics (ICSAI), volume 2018-January. 4th International Conference on Systems and Informatics (ICSAI), Hangzhou, China, 11.11.2017-13.11.2017. Piscataway, NJ, USA: Institute of Electrical and Electronics Engineers, pp. 1647-1651. https://doi.org/10.1109/ICSAI.2017.8248548

Conference Proceeding

Managing association of information system outsourcing: A case of information technology (IT) service provider

Mehmood K & Hussain A (2018) Managing association of information system outsourcing: A case of information technology (IT) service provider. In: 2017 4th International Conference on Systems and Informatics (ICSAI), volume 2018-January. 4th International Conference on Systems and Informatics (ICSAI), 2017, Huangzhou, China, 11.11.2017-13.11.2017. Piscataway, NJ, USA: Institute of Electrical and Electronics Engineers, pp. 1703-1707. https://www.scopus.com/inward/record.uri?eid=&doi=10.1109%2fICSAI.2017.8248558&partnerID=40&md5=ba3a4573d9b8a5ed161637eaedb90925; https://doi.org/10.1109/ICSAI.2017.8248558

Book Chapter

Application to Sentiment Analysis

Satapathy R, Cambria E & Hussain A (2017) Application to Sentiment Analysis. In: Satapathy R, Cambria E & Hussain A (eds.) Sentiment Analysis in the Bio-Medical Domain: Techniques, Tools, and Applications. Socio-Affective Computing. New York: Springer International Publishing Ag, pp. 105-125. https://doi.org/10.1007/978-3-319-68468-0_4

Article

On the effectiveness of feature selection methods for gait classification under different covariate factors

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 Proceeding

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 Proceeding

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 Proceeding

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

Conference Proceeding

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 Proceeding

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 Proceeding

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

Conference Proceeding

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 Proceeding

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 Proceeding

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 Proceeding

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 Proceeding

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 Proceeding

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 Proceeding

Optimizing one million variable NK landscapes by hybridizing deterministic recombination and local search

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 Proceeding

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 Proceeding

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

Conference Proceeding

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 Proceeding

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

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

Conference Proceeding

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 Proceeding

Sparse, continuous policy representations for uniform online bin packing via regression of interpolants

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 Proceeding

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

Conference Proceeding

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

Conference Paper

A multilevel association model for IT employees' life stress and job satisfaction: An Information Technology (IT) industry case study

Mehmood K & Hussain A (2017) A multilevel association model for IT employees' life stress and job satisfaction: An Information Technology (IT) industry case study. 2017 3rd International Conference on Mechanical, Electronic and Information Technology Engineering (ICMITE 2017), Chengdu, China, 16.12.2017-17.12.2017. MATEC Web of Conferences, 139, p. 00114. https://doi.org/10.1051/matecconf/201713900114

Conference Proceeding

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

Conference Proceeding

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

Conference Proceeding

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

Conference Proceeding

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

Conference Proceeding

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 Proceeding

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

Ensemble application of convolutional neural networks and multiple kernel learning for multimodal sentiment analysis

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 Proceeding

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

Data Science and Engineering, Special Issue: HPC-enabled Modelling for Big Data Problems in Life, Socio-Economical and Physical Sciences

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 Proceeding

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

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

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

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

Article

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 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

Conference Proceeding

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

Article

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

Article

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

Article

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

Article

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 Proceeding

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

Article

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

Article

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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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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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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Waning immunity is associated with periodic large outbreaks of mumps: a mathematical modeling study of Scottish data

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

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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A hyper-heuristic methodology to generate adaptive strategies for games

Li J & Kendall G (2017) A hyper-heuristic methodology to generate adaptive strategies for games. IEEE Transactions on Computational Intelligence and AI in Games, 9 (1), pp. 1-10. https://doi.org/10.1109/TCIAIG.2015.2394780

Conference Proceeding

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

Conference Proceeding

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

Benlic U, Burke EK & Woodward J (2017) Breakout Local Search for the Multi-Objective Gate Allocation Problem. Computers and Operations Research, 78, pp. 80-93. https://doi.org/10.1016/j.cor.2016.08.010

Conference Proceeding

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

Conference Proceeding

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

Conference Proceeding

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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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

Other

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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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

Nogueira K, Penatti OAB & dos Santos JA (2017) Towards better exploiting convolutional neural networks for remote sensing scene classification. Pattern Recognition, 61, pp. 539-556. https://doi.org/10.1016/j.patcog.2016.07.001

Conference Proceeding

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

Conference Proceeding

Global Bilateral Symmetry Detection Using Multiscale Mirror Histograms

Elawady M, Barat C, Ducottet C & Colantoni P (2016) Global Bilateral Symmetry Detection Using Multiscale Mirror Histograms. In: Blanc-Talon J, Distante C, Philips W, Popescu D & Scheunders P (eds.) Advanced Concepts for Intelligent Vision Systems. ACIVS 2016. Lecture Notes in Computer Science, 10016. ACIVS 2016: International Conference on Advanced Concepts for Intelligent Vision Systems, Leece, Italy, 24.10.2016-27.10.2016. Cham, Switzerland: Springer International Publishing, pp. 14-24. https://doi.org/10.1007/978-3-319-48680-2_2

Conference Proceeding

Automatic Nonlinear Filtering and Segmentation for Breast Ultrasound Images

Elawady M, Sadek I, Shabayek AER, Pons G & Ganau S (2016) Automatic Nonlinear Filtering and Segmentation for Breast Ultrasound Images. In: Campilho A & Karray F (eds.) Image Analysis and Recognition. ICIAR 2016. Lecture Notes in Computer Science, 9730. ICIAR 2016: International Conference on Image Analysis and Recognition, Póvoa de Varzim, Portugal, 13.07.2016-15.07.2016. Cham, Switzerland: Springer International Publishing, pp. 206-213. https://doi.org/10.1007/978-3-319-41501-7_24

Conference Proceeding

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

Article

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

Conference Proceeding

The Multi-Funnel Structure of TSP Fitness Landscapes: A Visual Exploration

Ochoa G, Veerapen N, Whitley D & Burke E (2016) The Multi-Funnel Structure of TSP Fitness Landscapes: A Visual Exploration. In: Bonnevay S, Legrand P, Monmarché N, Lutton E & Schoenauer M (eds.) Artificial Evolution: 12th International Conference, Evolution Artificielle, EA 2015, Lyon, France, October 26-28, 2015. Revised Selected Papers. Lecture Notes in Computer Science, 9554. International Conference on Artificial Evolution (EA-2015), Lyon, France, 26.10.2015-28.10.2015. Cham, Switzerland: Springer, pp. 1-13. https://doi.org/10.1007/978-3-319-31471-6_1

Conference Proceeding

GP vs GI: if you can't beat them, join them

Woodward J, Johnson C & Brownlee A (2016) GP vs GI: if you can't beat them, join them. In: Friedrich T (ed.) GECCO '16 Companion Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion. Genetic and Evolutionary Computation Conference, GECCO-2016, Denver, CO, USA, 20.07.2016-24.07.2016. New York: ACM, pp. 1155-1156. https://doi.org/10.1145/2908961.2931694

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Evals is not enough: why we should report wall-clock time

Woodward J, Brownlee A & Johnson C (2016) Evals is not enough: why we should report wall-clock time. In: Friedrich T (ed.) GECCO '16 Companion Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion. GECCO 2016: Genetic and Evolutionary Computation Conference, Denver, CO, USA, 20.07.2016-24.07.2016. New York: ACM, pp. 1157-1158. https://doi.org/10.1145/2908961.2931695

Conference Proceeding

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

Conference Proceeding

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

Article

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

Thesis

The Role of Walsh Structure and Ordinal Linkage in the Optimisation of Pseudo-Boolean Functions under Monotonicity Invariance

Christie LA (2016) The Role of Walsh Structure and Ordinal Linkage in the Optimisation of Pseudo-Boolean Functions under Monotonicity Invariance. Doctor of Philosophy. Robert Gordon University.

Article

Editorial for the Special Issue on Combinatorial Optimization Problems

Chicano F, Blum C & Ochoa G (2016) Editorial for the Special Issue on Combinatorial Optimization Problems. Evolutionary Computation, 24 (4), pp. 573-575. https://doi.org/10.1162/EVCO_e_00192

Thesis

Mixed Order Hyper-Networks for Function Approximation and Optimisation

Swingler K (2016) Mixed Order Hyper-Networks for Function Approximation and Optimisation. Doctor of Philosophy. University of Stirling. http://hdl.handle.net/1893/25349