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
Article
Special Issue Editorial: Cognitively Inspired Computing for Knowledge Discovery
Huang K, Zhang R, Jin X & Hussain A (2018) Special Issue Editorial: Cognitively Inspired Computing for Knowledge Discovery. Cognitive Computation, 10 (1), pp. 1-2. https://doi.org/10.1007/s12559-017-9532-y
Conference Paper (published)
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
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
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 Paper (published)
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 Paper (published)
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 Paper (published)
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
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)
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)
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)
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
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
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)
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)
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)
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)
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)
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 Paper (published)
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
Conference Paper (published)
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)
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
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 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
Conference Paper (published)
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 (published)
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
Conference Paper (published)
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 Paper (published)
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 Paper (published)
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 Paper (published)
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 Paper (published)
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 / Magazine
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
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
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
Conference Paper (published)
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
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 Paper (published)
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
Article
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
Article
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
Article
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
Article
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
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
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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
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
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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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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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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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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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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
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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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Global Bilateral Symmetry Detection Using Multiscale Mirror Histograms
Elawady M, Barat C, Ducottet C & Colantoni P (2016) Global Bilateral Symmetry Detection Using Multiscale Mirror Histograms. In: Blanc-Talon J, Distante C, Philips W, Popescu D & Scheunders P (eds.) Advanced Concepts for Intelligent Vision Systems. ACIVS 2016. Lecture Notes in Computer Science, 10016. ACIVS 2016: International Conference on Advanced Concepts for Intelligent Vision Systems, Leece, Italy, 24.10.2016-27.10.2016. Cham, Switzerland: Springer International Publishing, pp. 14-24. https://doi.org/10.1007/978-3-319-48680-2_2
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Automatic Nonlinear Filtering and Segmentation for Breast Ultrasound Images
Elawady M, Sadek I, Shabayek AER, Pons G & Ganau S (2016) Automatic Nonlinear Filtering and Segmentation for Breast Ultrasound Images. In: Campilho A & Karray F (eds.) Image Analysis and Recognition. ICIAR 2016. Lecture Notes in Computer Science, 9730. ICIAR 2016: International Conference on Image Analysis and Recognition, Póvoa de Varzim, Portugal, 13.07.2016-15.07.2016. Cham, Switzerland: Springer International Publishing, pp. 206-213. https://doi.org/10.1007/978-3-319-41501-7_24
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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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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 Paper (published)
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)
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
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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
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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
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Coarse-Grained Barrier Trees of Fitness Landscapes
Herrmann S, Ochoa G & Rothlauf F (2016) Coarse-Grained Barrier Trees of Fitness Landscapes. In: Handl J, Hart E, Lewis P, LopezIbanez M, Ochoa G & Paechter B (eds.) Parallel Problem Solving from Nature – PPSN XIV. PPSN 2016. Lecture Notes in Computer Science, 9921. PPSN2016: 14th International Conference on Parallel Problem Solving from Nature, Edinburgh, 17.09.2016-21.09.2016. Cham: Springer, pp. 901-910. https://doi.org/10.1007/978-3-319-45823-6_84
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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)
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
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Determinants of outcome of vocational rehabilitation
Siggeirsdottir K & Haraldsson S (2016) Determinants of outcome of vocational rehabilitation. Work, 55 (3), pp. 577-583. https://doi.org/10.3233/WOR-162436