Outputs related to Computing Science

Showing 201 to 300 of 1527

Conference Paper (published)

Recent Advances in Fitness Landscape Analysis

Ochoa G & Malan K (2019) Recent Advances in Fitness Landscape Analysis. In: López-Ibáñez M (ed.) GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO '19 - Genetic and Evolutionary Computation Conference, Prague, Czech Republic, 13.07.2019-17.07.2019. New York: Association for Computing Machinery, pp. 1077-1094. https://doi.org/10.1145/3319619.3323383

Conference Paper (published)

A Survey of Genetic Improvement Search Spaces

Petke J, Alexander B, Barr ET, Brownlee AEI, Wagner M & White DR (2019) A Survey of Genetic Improvement Search Spaces. In: López-Ibáñez M (ed.) GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO '19 - Genetic and Evolutionary Computation Conference, Prague, Czech Republic, 13.07.2019-17.07.2019. New York: Association for Computing Machinery, pp. 1715-1721. https://doi.org/10.1145/3319619.3326870

Article

Dynamic Multicontext Segmentation of Remote Sensing Images Based on Convolutional Networks

Nogueira K, Dalla Mura M, Chanussot J, Schwartz WR & dos Santos JA (2019) Dynamic Multicontext Segmentation of Remote Sensing Images Based on Convolutional Networks. IEEE Transactions on Geoscience and Remote Sensing, 57 (10), pp. 7503-7520. https://doi.org/10.1109/tgrs.2019.2913861

Conference Paper (published)

A Deep Learning Based Approach to Skin Lesion Border Extraction with a Novel Edge Detector in Dermoscopy Images

Ali A, Li J, O'Shea SJ, Yang G, Trappenberg T & Ye X (2019) A Deep Learning Based Approach to Skin Lesion Border Extraction with a Novel Edge Detector in Dermoscopy Images. In: Proceedings of the 2019 International Joint Conference on Neural Networks, IJCNN 2019. International Joint Conference on Neural Networks (IJCNN 2019), Budapest, Hungary, 14.07.2019-19.07.2019. Piscataway, NJ, USA: Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/IJCNN.2019.8852134

Article

A global risk assessment of primates under climate and land use/cover scenarios

Carvalho JS, Graham B, Rebelo H, Bocksberger G, Meyer CFJ, Wich S & Kuhl HS (2019) A global risk assessment of primates under climate and land use/cover scenarios. Global Change Biology, 25 (9), pp. 3163-3178. https://doi.org/10.1111/gcb.14671

Article

Design and Characterization of a Micro-Fabricated Graphene-Based MEMS Microphone

Wood GS, Torin A, Al-mashaal AK, Smith LS, Mastropaolo E, Newton MJ & Cheung R (2019) Design and Characterization of a Micro-Fabricated Graphene-Based MEMS Microphone. IEEE Sensors Journal, 19 (17), pp. 7234-7242. https://doi.org/10.1109/JSEN.2019.2914401

Other

JPEG White paper: Towards a Standardized Framework for Media Blockchain and Distributed Ledger Technologies

(2019) JPEG White paper: Towards a Standardized Framework for Media Blockchain and Distributed Ledger Technologies [An initiative exploring opportunities in media blockchain and distributed ledger technologies and impacts on JPEG standardization]. Bhowmik D (Editor) & Temmermans F (Editor) Joint Photographic Experts Group (JPEG), ISO/IEC Joint Technical Committee 1, Subcommittee 29, Working Group 1 (ISO/IEC JTC 1/SC 29/WG 1) Document number: N84038. https://jpeg.org/static/whitepapers/jpeg-media-blockchain-whitepaper.pdf

Conference Paper (published)

Gin: Genetic Improvement Research Made Easy

Brownlee AEI, Petke J, Alexander B, Barr ET, Wagner M & White DR (2019) Gin: Genetic Improvement Research Made Easy. In: GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference. GECCO 2019: The Genetic and Evolutionary Computation Conference, Prague, Czech Republic, 13.07.2019-17.07.2019. New York: ACM, pp. 985-993. https://doi.org/10.1145/3321707.3321841

Conference Paper (published)

Crowd-Sourcing the Sounds of Places with a Web-Based Evolutionary Algorithm

Brownlee AEI, Kim S, Wang S, Chan S & Lawson JA (2019) Crowd-Sourcing the Sounds of Places with a Web-Based Evolutionary Algorithm. In: GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO 2019: The Genetic and Evolutionary Computation Conference, Prague, Czech Republic, 13.07.2019-17.07.2019. New York: ACM, pp. 131-132. https://doi.org/10.1145/3319619.3322028

Article

A comparison of two methods of using a serious game for teaching marine ecology in a university setting

Ameerbakhsh O, Maharaj S, Hussain A & McAdam B (2019) A comparison of two methods of using a serious game for teaching marine ecology in a university setting. International Journal of Human-Computer Studies, 127, pp. 181-189. https://doi.org/10.1016/j.ijhcs.2018.07.004

Article

Google Trends in Infodemiology and Infoveillance: Methodology Framework

Mavragani A & Ochoa G (2019) Google Trends in Infodemiology and Infoveillance: Methodology Framework. JMIR Public Health and Surveillance, 5 (2), Art. No.: e13439. https://doi.org/10.2196/13439

Article

One model to rule them all? Modelling approaches across OneHealth for human, animal and plant epidemics

Kleczkowski A, Hoyle A & McMenemy P (2019) One model to rule them all? Modelling approaches across OneHealth for human, animal and plant epidemics. Philosophical Transactions B: Biological Sciences, 374 (1775), Art. No.: 20180255. https://doi.org/10.1098/rstb.2018.0255

Article

Improving process algebra model structure and parameters in infectious disease epidemiology through data mining

Hamami D, Atmani B, Cameron R, Pollock KG & Shankland C (2019) Improving process algebra model structure and parameters in infectious disease epidemiology through data mining. Journal of Intelligent Information Systems, 52 (3), pp. 477-499. https://doi.org/10.1007/s10844-017-0476-1

Edited Book

Computational Intelligence Methods for Bioinformatics and Biostatistics: 14th International Meeting, CIBB 2017, Cagliari, Italy, September 7-9, 2017, Revised Selected Papers

Bartoletti M, Bracciali A, Barla A, Klau GW, Peterson L, Policriti A & Tagliaferri R (eds.) (2019) Computational Intelligence Methods for Bioinformatics and Biostatistics: 14th International Meeting, CIBB 2017, Cagliari, Italy, September 7-9, 2017, Revised Selected Papers. Berlin Heidelberg: Springer. https://doi.org/10.1007/978-3-030-14160-8

Article

EuroGP vs EvoCOP: contrasting the collaboration networks

Goranova M, Ochoa G & Tomassini M (2019) EuroGP vs EvoCOP: contrasting the collaboration networks. ACM SIGEVOlution, 12 (1), pp. 6-12. https://doi.org/10.1145/3328473.3328475

Article

Randomness invalidates criminal smart contracts

Wang Y, Bracciali A, Li T, Li F, Cui X & Zhao M (2019) Randomness invalidates criminal smart contracts. Information Sciences, 477, pp. 291-301. https://doi.org/10.1016/j.ins.2018.10.057

Article

Connections between e-learning, web science, cognitive computation and social sensing, and their relevance to learning analytics: A preliminary study

Arafat S, Aljohani N, Abbasi R, Hussain A & Lytras M (2019) Connections between e-learning, web science, cognitive computation and social sensing, and their relevance to learning analytics: A preliminary study. Computers in Human Behavior, 92, pp. 478-486. https://doi.org/10.1016/j.chb.2018.02.026

Thesis

Reflection Symmetry Detection in Images: Application to Photography Analysis

Elsayed Elawady M (2019) Reflection Symmetry Detection in Images: Application to Photography Analysis. Doctor of Philosophy. Université de Lyon. https://hal.archives-ouvertes.fr/tel-02305545/

Article

Characteristics of Positive Deviants in Western Chimpanzee Populations

Heinicke S, Mundry R, Boesch C, Amarasekaran B, Barrie A, Brncic T, Brugiere D, Campbell G, Carvalho J, Danquah E, Dowd D, Eshuis H, Fleury-Brugiere M, Gamys J & Ganas J (2019) Characteristics of Positive Deviants in Western Chimpanzee Populations. Frontiers in Ecology and Evolution, 7, Art. No.: 16. https://doi.org/10.3389/fevo.2019.00016

Article

Combination of techniques to quantify the distribution of bacteria in their soil microhabitats at different spatial scales

Juyal A, Otten W, Falconer R, Hapca S, Schmidt H, Baveye PC & Eickhorst T (2019) Combination of techniques to quantify the distribution of bacteria in their soil microhabitats at different spatial scales. Geoderma, 334, pp. 165-174. https://doi.org/10.1016/j.geoderma.2018.07.031

Article

Optimized Memory Allocation and Power Minimization for FPGA-Based Image Processing

Garcia P, Bhowmik D, Stewart R, Michaelson G & Wallace A (2019) Optimized Memory Allocation and Power Minimization for FPGA-Based Image Processing. Journal of Imaging, 5 (1), Art. No.: 7. https://doi.org/10.3390/jimaging5010007

Article

Guided Policy Search for Sequential Multitask Learning

Xiong F, Sun B, Yang X, Qiao H, Huang K, Hussain A & Liu Z (2019) Guided Policy Search for Sequential Multitask Learning. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 49 (1), pp. 216-226. https://doi.org/10.1109/TSMC.2018.2800040

Conference Paper (published)

On the Fractal Nature of Local Optima Networks

Thomson SL, Verel S, Ochoa G, Veerapen N & McMenemy P (2018) On the Fractal Nature of Local Optima Networks. In: Liefooghe A & López-Ibáñez M (eds.) Evolutionary Computation in Combinatorial Optimization. EvoCOP 2018.. Lecture Notes in Computer Science, 10782. EvoCOP 2018 - The 18th European Conference on Evolutionary Computation in Combinatorial Optimisation, Parma, Italy, 04.04.2018-06.04.2018. Cham, Switzerland: Springer, pp. 18-33. https://doi.org/10.1007/978-3-319-77449-7_2

Conference Paper (published)

How Perturbation Strength Shapes the Global Structure of TSP Fitness Landscapes

McMenemy P, Veerapen N & Ochoa G (2018) How Perturbation Strength Shapes the Global Structure of TSP Fitness Landscapes. In: Liefooghe A & López-Ibáñez M (eds.) Evolutionary Computation in Combinatorial Optimization. EvoCOP 2018. Lecture Notes in Computer Science, 10782. EvoCOP 2018 - The 18th European Conference on Evolutionary Computation in Combinatorial Optimisation, Parma, Italy, 04.04.2018-06.04.2018. Cham, Switzerland: Springer, pp. 34-49. https://doi.org/10.1007/978-3-319-77449-7_3

Conference Paper (published)

On the Educational Curriculum in Finance and Technology

Karkkainen T, Panos GA, Broby D & Bracciali A (2018) On the Educational Curriculum in Finance and Technology. In: Diplaris S S, Satsiou A, Følstad A, Vafopoulos M & Vilarinho T (eds.) Internet Science: INSCI 2017. Lecture Notes in Computer Science, 10750. INSCI 2017 4th International Conference on Internet Science, Thessaloniki, Greece, 22.11.2017-24.11.2017. Cham, Switzerland: Springer, pp. 7-20. https://doi.org/10.1007/978-3-319-77547-0_1

Conference Paper (published)

Investigating Benchmark Correlations when Comparing Algorithms with Parameter Tuning

Christie LA, Brownlee A & Woodward JR (2018) Investigating Benchmark Correlations when Comparing Algorithms with Parameter Tuning. In: Proceedings of the Genetic and Evolutionary Computation Conference Companion. Genetic and Evolutionary Computation Conference 2018, 15.07.2018-19.07.2018. New York: ACM, pp. 209-210. https://doi.org/10.1145/3205651.3205747

Conference Paper (published)

Relating Training Instances to Automatic Design of Algorithms for Bin Packing via Features

Brownlee A, Woodward JR & Veerapen N (2018) Relating Training Instances to Automatic Design of Algorithms for Bin Packing via Features. In: Proceedings of GECCO 2018. Genetic and Evolutionary Computation Conference 2018, 15.07.2018-19.07.2018. New York: ACM, pp. 135-136. https://doi.org/10.1145/3205651.3205748

Conference Paper (published)

A Rolling Window with Genetic Algorithm Approach to Sorting Aircraft for Automated Taxi Routing

Brownlee A, Woodward JR, Weiszer M & Chen J (2018) A Rolling Window with Genetic Algorithm Approach to Sorting Aircraft for Automated Taxi Routing. In: Proceedings of the Genetic and Evolutionary Computation Conference 2018. GECCO 2018: The 2018 conference on Genetic and Evolutionary Computation, Kyoto, Japan, 15.07.2018-19.07.2018. New York: ACM, pp. 1207-1213. http://gecco-2018.sigevo.org/index.html/tiki-index.php?page=HomePage; https://doi.org/10.1145/3205455.3205558

Conference Paper (published)

Multifractality and Dimensional Determinism in Local Optima Networks

Thomson S, Verel S, Ochoa G, Veerapen N & Cairns D (2018) Multifractality and Dimensional Determinism in Local Optima Networks. In: Proceedings of the Genetic and Evolutionary Computation Conference 2018. 2018 Genetic and Evolutionary Computation Conference (GECCO 2018), Kyoto, Japan, 15.07.2018-19.07.2018. New York: ACM, pp. 371-378. http://gecco-2018.sigevo.org; https://doi.org/10.1145/3205455.3205472

Article

Clinical decision support systems: A visual survey

Farooq K, Khan BS, Niazi MA, Leslie SJ & Hussain A (2018) Clinical decision support systems: A visual survey. Informatica (Slovenia), 42 (4), pp. 485-505. https://doi.org/10.31449/inf.v42i4.1571

Book Chapter

A Re-characterization of Hyper-Heuristics

Swan J, De Causmaecker P, Martin S & Ozcan E (2018) A Re-characterization of Hyper-Heuristics. In: Amodeo L, Talbi EG & Yalaoui F (eds.) Recent Developments in Metaheuristics. Operations Research/Computer Science Interfaces, 62. Cham, Switzerland: Springer Publishing Company, pp. 75-89. https://doi.org/10.1007/978-3-319-58253-5_5

Article

Towards Optimising WLANs Power Saving: Novel Context-aware Network Traffic Classification Based on a Machine Learning Approach

Saeed A & Kolberg M (2018) Towards Optimising WLANs Power Saving: Novel Context-aware Network Traffic Classification Based on a Machine Learning Approach. IEEE Access, 7, pp. 3122-3135. https://doi.org/10.1109/access.2018.2888813

Conference Paper (published)

A Semi-supervised Corpus Annotation for Saudi Sentiment Analysis Using Twitter

Alqarafi A, Adeel A, Hawalah A, Swingler K & Hussain A (2018) A Semi-supervised Corpus Annotation for Saudi Sentiment Analysis Using Twitter. In: Hussain A, Zhao H, Ren J, Zheng J, Liu C, Luo B & Zhao X (eds.) Advances in Brain Inspired Cognitive Systems. Lecture Notes in Computer Science, 10989. BICS 2018: 9th International Conference on Brain Inspired Cognitive Systems, Xi'an, China, 07.07.2018-08.07.2018. Cham, Switzerland: Springer International Publishing, pp. 589-596. https://doi.org/10.1007/978-3-030-00563-4_57

Conference Paper (published)

Exploiting Deep Learning for Persian Sentiment Analysis

Dashtipour K, Gogate M, Adeel A, Ieracitano C, Larijani H & Hussain A (2018) Exploiting Deep Learning for Persian Sentiment Analysis. In: Ren J, Hussain A, Zheng J, Liu C, Luo B, Zhao H & Zhao X (eds.) Advances in Brain Inspired Cognitive Systems. BICS 2018. Lecture Notes in Computer Science, 10989. BICS 2018: International Conference on Brain Inspired Cognitive Systems, Xi'an, China, 07.07.2018-08.07.2018. Cham, Switzerland: Springer Verlag, pp. 597-604. https://doi.org/10.1007/978-3-030-00563-4_58

Conference Paper (published)

SentiALG: Automated Corpus Annotation for Algerian Sentiment Analysis

Guellil I, Adeel A, Azouaou F & Hussain A (2018) SentiALG: Automated Corpus Annotation for Algerian Sentiment Analysis. In: Ren J, Hussain A, Zheng J, Liu C, Luo B, Zhao H & Zhao X (eds.) 9th International Conference on Brain-Inspired Cognitive Systems, BICS 2018. Lecture Notes in Computer Science, 10989. BICS 2018: International Conference on Brain Inspired Cognitive Systems, Xi'an, China, 07.07.2018-08.07.2018. Cham, Switzerland: Springer Verlag, pp. 557-567. https://doi.org/10.1007/978-3-030-00563-4_54

Conference Paper (published)

Comparison of Sentiment Analysis Approaches Using Modern Arabic and Sudanese Dialect

Hussien IO, Dashtipour K & Hussain A (2018) Comparison of Sentiment Analysis Approaches Using Modern Arabic and Sudanese Dialect. In: Ren J, Hussain A, Zheng J, Liu C, Luo B, Zhao H & Zhao X (eds.) Advances in Brain Inspired Cognitive Systems. BICS 2018. Lecture Notes in Computer Science, 10989. BICS 2018: International Conference on Brain Inspired Cognitive Systems, Xi'an, China, 07.07.2018-08.07.2018. Cham, Switzerland: Springer Verlag, pp. 615-624. https://doi.org/10.1007/978-3-030-00563-4_60

Conference Paper (published)

Statistical Analysis Driven Optimized Deep Learning System for Intrusion Detection

Ieracitano C, Adeel A, Gogate M, Dashtipour K, Morabito FC, Larijani H, Raza A & Hussain A (2018) Statistical Analysis Driven Optimized Deep Learning System for Intrusion Detection. In: Ren J, Hussain A, Zheng J, Liu C, Luo B, Zhao H & Zhao X (eds.) Advances in Brain Inspired Cognitive Systems. BICS 2018. Lecture Notes in Computer Science, 10989. BICS 2018: International Conference on Brain Inspired Cognitive Systems, Xi'an, China, 07.07.2018-08.07.2018. Cham, Switzerland: Springer Verlag, pp. 759-769. https://doi.org/10.1007/978-3-030-00563-4_74

Conference Paper (published)

Saliency Detection via Bidirectional Absorbing Markov Chain

Jiang F, Kong B, Adeel A, Xiao Y & Hussain A (2018) Saliency Detection via Bidirectional Absorbing Markov Chain. In: Ren J, Hussain A, Zheng J, Liu C, Luo B, Zhao H & Zhao X (eds.) Advances in Brain Inspired Cognitive Systems. BICS 2018. Lecture Notes in Computer Science, 10989. BICS 2018: International Conference on Brain Inspired Cognitive Systems, 07.07.2018-08.07.2018. Cham, Switzerland: Springer Verlag, pp. 495-505. https://doi.org/10.1007/978-3-030-00563-4_48

Conference Paper (published)

Perturbation strength and the global structure of qap fitness landscapes

Ochoa G & Herrmann S (2018) Perturbation strength and the global structure of qap fitness landscapes. In: Fonseca C, Lourenco N, Machado P, Paquete L, Auger A & Whitley D (eds.) Parallel Problem Solving from Nature – PPSN XV. PPSN 2018. Lecture Notes in Computer Science, 11102. PPSN 2018: International Conference on Parallel Problem Solving from Nature, Coimbra, Portugal, 08.09.2018-12.09.2018. Cham, Switzerland: Springer Verlag, pp. 245-256. https://doi.org/10.1007/978-3-319-99259-4_20

Conference Paper (published)

Sampling local optima networks of large combinatorial search spaces: The qap case

Verel S, Daolio F, Ochoa G & Tomassini M (2018) Sampling local optima networks of large combinatorial search spaces: The qap case. In: Fonseca C, Lourenco N, Machado P, Paquete L, Auger A & Whitley D (eds.) Parallel Problem Solving from Nature – PPSN XV. PPSN 2018. Lecture Notes in Computer Science, 11102. PPSN 2018: International Conference on Parallel Problem Solving from Nature, Coimbra, Portugal, 08.09.2018-12.09.2018. Cham, Switzerland: Springer Verlag, pp. 257-268. https://doi.org/10.1007/978-3-319-99259-4_21

Conference Paper (published)

Fast Lip Feature Extraction Using Psychologically Motivated Gabor Features

Abel A, Gao C, Smith L, Watt R & Hussain A (2018) Fast Lip Feature Extraction Using Psychologically Motivated Gabor Features. In: 2018 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE Symposium Series on Computational Intelligence, SSCI 2018, Bangalore, India, 18.11.2018-21.11.2018. Piscataway, NJ, USA: IEEE, pp. 1033-1040. https://doi.org/10.1109/SSCI.2018.8628931

Conference Paper (published)

Beck T, Böschen F & Scherp A (2018) What to Read Next? Challenges and Preliminary Results in Selecting Representative Documents. In: Elloumi M, Granitzer M, Hameurlain A, Seifert C, Stein B, Tjoa A & Wagner R (eds.) Database and Expert Systems Applications. DEXA 2018. Communications in Computer and Information Science, 903. 29th International Conference on Database and Expert Systems Applications, DEXA 2018, Regensburg, Germany, 03.09.2018-06.09.2018. Cham, Switzerland: Springer International Publishing, pp. 230-242. https://doi.org/10.1007/978-3-319-99133-7_19

Article

Towards workload-aware cloud resource provisioning using a multi-controller fuzzy switching approach

Ullah A, Li J & Hussain A (2018) Towards workload-aware cloud resource provisioning using a multi-controller fuzzy switching approach. International Journal of High Performance Computing and Networking, 12 (1), pp. 13-25. https://doi.org/10.1504/IJHPCN.2018.093838

Article

Infoveillance of infectious diseases in USA: STDs, tuberculosis, and hepatitis

Mavragani A & Ochoa G (2018) Infoveillance of infectious diseases in USA: STDs, tuberculosis, and hepatitis. Journal of Big Data, 5 (1), Art. No.: 30. https://doi.org/10.1186/s40537-018-0140-9

Conference Paper (published)

On Symbolic Verification of Bitcoin's script Language

Klomp R & Bracciali A (2018) On Symbolic Verification of Bitcoin's script Language. In: Garcia-Alfaro J, Herrera-Joancomartí J, Livraga G & Rios R (eds.) Data Privacy Management, Cryptocurrencies and Blockchain Technology. DPM 2018, CBT 2018. Lecture Notes in Computer Science, 11025. Data Privacy Management, Cryptocurrencies and Blockchain Technology 2018, Barcelona, Spain, 06.09.2018-07.09.2018. Cham, Switzerland: Springer International Publishing, pp. 38-56. https://doi.org/10.1007/978-3-030-00305-0_3

Conference Paper (published)

Fake News Identification on Twitter with Hybrid CNN and RNN Models

Ajao O, Bhowmik D & Zargari S (2018) Fake News Identification on Twitter with Hybrid CNN and RNN Models. In: SMSociety '18 Proceedings of the 9th International Conference on Social Media and Society. International Conference on Social Media and Society - SMSociety '18, 18.07.2018-20.07.2018. Copenhagen, Denmark: ACM Press, pp. 226-230. https://doi.org/10.1145/3217804.3217917

Conference Paper (published)

The JPEG-Blockchain Framework for GLAM Services

Bhowmik D, Natu A, Ishikawa T, Feng T & Abhayaratne C (2018) The JPEG-Blockchain Framework for GLAM Services. In: 2018 IEEE International Conference on Multimedia & Expo Workshops (ICMEW). IEEE International Conference on Multimedia and Expo (ICME) workshop on Privacy Issues in Multimedia, 23.07.2018-27.07.2018. San Diego, USA: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICMEW.2018.8551519

Article

Forecasting AIDS prevalence in the United States using online search traffic data

Mavragani A & Ochoa G (2018) Forecasting AIDS prevalence in the United States using online search traffic data. Journal of Big Data, 5 (1), Art. No.: 17. https://doi.org/10.1186/s40537-018-0126-7

Article

A control theoretical view of cloud elasticity: taxonomy, survey and challenges

Ullah A, Li J, Shen Y & Hussain A (2018) A control theoretical view of cloud elasticity: taxonomy, survey and challenges. Cluster Computing, 21 (4), pp. 1735-1764. https://doi.org/10.1007/s10586-018-2807-6

Conference Paper (published)

Area-Energy Aware Dataflow Optimisation of Visual Tracking Systems

Garcia P, Bhowmik D, Wallace A, Stewart R & Michaelson G (2018) Area-Energy Aware Dataflow Optimisation of Visual Tracking Systems. In: Voros N, Huebner M, Keramidas G, Goehringer D, Antonopoulos C & Diniz P (eds.) Applied Reconfigurable Computing. Architectures, Tools, and Applications. Lecture Notes in Computer Science, 10824. ARC 2018: International Symposium on Applied Reconfigurable Computing, Santorini, Greece, 02.05.2018-04.05.2018. Cham, Switzerland: Springer International Publishing, pp. 523-536. https://doi.org/10.1007/978-3-319-78890-6_42

Conference Paper (published)

Embedded Vision Systems: A Review of the Literature

Bhowmik D & Appiah K (2018) Embedded Vision Systems: A Review of the Literature. In: Applied Reconfigurable Computing. Architectures, Tools, and Applications. Lecture Notes in Computer Science, 10824. International Symposium on Applied Reconfigurable Computing ARC 2018, Santorini, Greece, 02.05.2018-04.05.2018. Cham, Switzerland: Springer International Publishing, pp. 204-216. https://doi.org/10.1007/978-3-319-78890-6_17

Conference Paper (published)

Mobile-Based Painting Photo Retrieval Using Combined Features

Companioni-Brito C, Mariano-Calibjo Z, Elawady M & Yildirim S (2018) Mobile-Based Painting Photo Retrieval Using Combined Features. In: Karray F, ter Haar Romeny B & Campilho A (eds.) Image Analysis and Recognition. ICIAR 2018. Lecture Notes in Computer Science, 10882. ICIAR 2018: International Conference Image Analysis and Recognition, Póvoa de Varzim, Portugal, 27.06.2018-29.06.2018. Cham, Switzerland: Springer International Publishing, pp. 278-284. https://doi.org/10.1007/978-3-319-93000-8_32

Conference Paper (published)

Editorial Image Retrieval Using Handcrafted and CNN Features

Companioni-Brito C, Elawady M, Yildirim S & Hardeberg JY (2018) Editorial Image Retrieval Using Handcrafted and CNN Features. In: Mansouri A, El Moataz A, Nouboud F & Mammass D (eds.) Image and Signal Processing. Lecture Notes in Computer Science, 10884. ICISP 2018: International Conference on Image and Signal Processing, Cherbourg, France, 02.07.2018-04.07.2018. Cham, Switzerland: Springer International Publishing, pp. 284-291. https://doi.org/10.1007/978-3-319-94211-7_31

Conference Paper (published)

Mutual Information Iterated Local Search: A Wrapper-Filter Hybrid for Feature Selection in Brain Computer Interfaces

Adair J, Brownlee A & Ochoa G (2018) Mutual Information Iterated Local Search: A Wrapper-Filter Hybrid for Feature Selection in Brain Computer Interfaces. In: Applications of Evolutionary Computation. EvoApplications 2018. Lecture Notes in Computer Science, 10784. EvoStar 2018, Parma, Italy, 04.04.2018-06.04.2018. Cham, Switzerland: Springer, pp. 63-77. https://link.springer.com/chapter/10.1007/978-3-319-77538-8_5; https://doi.org/10.1007/978-3-319-77538-8_5

Conference Paper (published)

Evolving training sets for improved transfer learning in brain computer interfaces

Adair J, Brownlee A, Daolio F & Ochoa G (2018) Evolving training sets for improved transfer learning in brain computer interfaces. In: Nicosia G, Pardalos P, Giuffrida G & Umeton R (eds.) Machine Learning, Optimization, and Big Data. MOD 2017. Lecture Notes in Computer Science, 10710. MOD 2017 - The Third International Conference on Machine Learning, Optimization and Big Data, Volterra, Italy, 14.09.2017-17.09.2017. Cham, Switzerland: Springer, pp. 186-197. https://link.springer.com/chapter/10.1007/978-3-319-72926-8_16; https://doi.org/10.1007/978-3-319-72926-8_16

Article

Three-Dimensional Local Energy-Based Shape Histogram (3D-LESH)-Based Feature Extraction - A Novel Technique

Wajid S, Hussain A & Huang K (2018) Three-Dimensional Local Energy-Based Shape Histogram (3D-LESH)-Based Feature Extraction - A Novel Technique. Expert Systems with Applications, 112, pp. 388-400. https://doi.org/10.1016/j.eswa.2017.11.057

Article

Assessing the Methods, Tools, and Statistical Approaches in Google Trends Research: Systematic Review

Mavragani A, Ochoa G & Tsagarakis KP (2018) Assessing the Methods, Tools, and Statistical Approaches in Google Trends Research: Systematic Review. JMIR, 20 (11), Art. No.: e270. https://doi.org/10.2196/jmir.9366

Article

A Novel Method of Signal Fusion Based on Dimension Expansion

Zhang T, Xu L, Yang E, Yan X, Qin K, Wang Q & Hussain A (2018) A Novel Method of Signal Fusion Based on Dimension Expansion. Circuits, Systems, and Signal Processing, 37 (10), pp. 4295-4318. https://doi.org/10.1007/s00034-018-0760-5

Article

A Brain-Inspired Trust Management Model to Assure Security in a Cloud Based IoT Framework for Neuroscience Applications

Mahmud M, Kaiser MS, Rahman MM, Rahman MA, Shabut A, Al-Mamun S & Hussain A (2018) A Brain-Inspired Trust Management Model to Assure Security in a Cloud Based IoT Framework for Neuroscience Applications. Cognitive Computation, 10 (5), pp. 864-873. https://doi.org/10.1007/s12559-018-9543-3

Article

A new two-layer mixture of factor analyzers with joint factor loading model for the classification of small dataset problems

Yang X, Huang K, Zhang R, Goulermas JY & Hussain A (2018) A new two-layer mixture of factor analyzers with joint factor loading model for the classification of small dataset problems. Neurocomputing, 312, pp. 352-363. https://doi.org/10.1016/j.neucom.2018.05.085

Conference Paper (published)

Content-Aware Tweet Location Inference Using Quadtree Spatial Partitioning and Jaccard-Cosine Word Embedding

Ajao O, Bhowmik D & Zargari S (2018) Content-Aware Tweet Location Inference Using Quadtree Spatial Partitioning and Jaccard-Cosine Word Embedding. In: 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Barcelona, Spain, 28.08.2018-31.08.2018. Piscataway, NJ, USA: IEEE, pp. 1116-1123. https://doi.org/10.1109/asonam.2018.8508257

Article

A Quantum based Evolutionary Algorithm for Stock Index and Bitcoin Price Forecasting

Amjad U, Jilani TA, Tariq H & Hussain A (2018) A Quantum based Evolutionary Algorithm for Stock Index and Bitcoin Price Forecasting. International Journal of Advanced Computer Science and Applications, 9 (9), pp. 123-132. http://thesai.org/Downloads/Volume9No9/Paper_17-A_Quantum_based_Evolutionary_Algorithm.pdf

Article

Exploiting ConvNet Diversity for Flooding Identification

Nogueira K, Fadel SG, Dourado IC, Werneck RdO, Munoz JAV, Penatti OAB, Calumby RT, Li LT, dos Santos JA & Torres RdS (2018) Exploiting ConvNet Diversity for Flooding Identification. IEEE Geoscience and Remote Sensing Letters, 15 (9), pp. 1446-1450. https://doi.org/10.1109/lgrs.2018.2845549

Conference Paper (published)

Statistical T+2d Subband Modelling for Crowd Counting

Bhowmik D & Wallace A (2018) Statistical T+2d Subband Modelling for Crowd Counting. In: 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 15.04.2018-20.04.2018. Calgary, Canada: IEEE, pp. 1533-1537. https://doi.org/10.1109/icassp.2018.8462345

Conference Paper (published)

DNN Driven Speaker Independent Audio-Visual Mask Estimation for Speech Separation

Gogate M, Adeel A, Marxer R, Barker J & Hussain A (2018) DNN Driven Speaker Independent Audio-Visual Mask Estimation for Speech Separation. In: Proceedings of the Annual Conference of the International Speech Communication Association. Interspeech 2018, 02.09.2018-06.09.2018. Baixas, France: ISCA, pp. 2723-2727. https://doi.org/10.21437/Interspeech.2018-2516

Article

Relation Extraction of Medical Concepts Using Categorization and Sentiment Analysis

Mondal A, Cambria E, Das D, Hussain A & Bandyopadhyay S (2018) Relation Extraction of Medical Concepts Using Categorization and Sentiment Analysis. Cognitive Computation, 10 (4), pp. 670-685. https://doi.org/10.1007/s12559-018-9567-8

Article

Long-term correlation tracking using multi-layer hybrid features in sparse and dense environments

Baisa NL, Bhowmik D & Wallace A (2018) Long-term correlation tracking using multi-layer hybrid features in sparse and dense environments. Journal of Visual Communication and Image Representation, 55, pp. 464-476. https://doi.org/10.1016/j.jvcir.2018.06.027

Article

Sentic LSTM: a Hybrid Network for Targeted Aspect-Based Sentiment Analysis

Ma Y, Peng H, Khan T, Cambria E & Hussain A (2018) Sentic LSTM: a Hybrid Network for Targeted Aspect-Based Sentiment Analysis. Cognitive Computation, 10 (4), pp. 639-650. https://doi.org/10.1007/s12559-018-9549-x

Article

A Novel Spatiotemporal Longitudinal Methodology for Predicting Obesity Using Near Infrared Spectroscopy (NIRS) Cerebral Functional Activity Data

Abdullah A, Hussain A & Khan IH (2018) A Novel Spatiotemporal Longitudinal Methodology for Predicting Obesity Using Near Infrared Spectroscopy (NIRS) Cerebral Functional Activity Data. Cognitive Computation, 10 (4), pp. 591-609. https://doi.org/10.1007/s12559-017-9541-x

Article

Emergent Properties of Microbial Activity in Heterogeneous Soil Microenvironments: Different Research Approaches Are Slowly Converging, Yet Major Challenges Remain

Baveye PC, Otten W, Kravchenko A, Balseiro-Romero M, Beckers E, Chalhoub M, Darnault C, Eickhorst T, Garnier P, Hapca S, Kiranyaz S, Monga O, Mueller CW, Nunan N & Pot V (2018) Emergent Properties of Microbial Activity in Heterogeneous Soil Microenvironments: Different Research Approaches Are Slowly Converging, Yet Major Challenges Remain. Frontiers in Microbiology, 9, Art. No.: 1929. https://doi.org/10.3389/fmicb.2018.01929

Article

A Fuzzy Approach to Addressing Uncertainty in Airport Ground Movement Optimisation

Brownlee A, Weiszer M, Chen J, Ravizza S, Woodward JR & Burke EK (2018) A Fuzzy Approach to Addressing Uncertainty in Airport Ground Movement Optimisation. Transportation Research Part C: Emerging Technologies, 92, pp. 150-175. https://doi.org/10.1016/j.trc.2018.04.020

Article

Extracting online information from dual and multiple data streams

Malik Z, Hussain A & Wu QJ (2018) Extracting online information from dual and multiple data streams. Neural Computing and Applications, 30 (1), pp. 87-98. https://doi.org/10.1007/s00521-016-2647-3

Article

Mapping the global structure of TSP fitness landscapes

Ochoa G & Veerapen N (2018) Mapping the global structure of TSP fitness landscapes. Journal of Heuristics, 24 (3), pp. 265-294. https://doi.org/10.1007/s10732-017-9334-0

Article

Genetic Improvement of Software: a Comprehensive Survey

Petke J, Haraldsson S, Harman M, Langdon WB, White D & Woodward J (2018) Genetic Improvement of Software: a Comprehensive Survey. IEEE Transactions on Evolutionary Computation, 22 (3), pp. 415-432. https://doi.org/10.1109/TEVC.2017.2693219

Article

Applications of Deep Learning and Reinforcement Learning to Biological Data

Mahmud M, Kaiser MS, Hussain A & Vassanelli S (2018) Applications of Deep Learning and Reinforcement Learning to Biological Data. IEEE Transactions on Neural Networks and Learning Systems, 29 (6), pp. 2063-2079. https://doi.org/10.1109/TNNLS.2018.2790388

Conference Paper (published)

Predicting Changes in Quality of Life for Patients in Vocational Rehabilitation

Haraldsson S, Brynjolfsdottir RD, Gudnason V, Tomasson K & Siggeirsdottir K (2018) Predicting Changes in Quality of Life for Patients in Vocational Rehabilitation. In: EAIS 2018 proceedings. Evolving and Adaptive Intelligent Systems, Rhodes, Greece, 25.05.2018-27.05.2018. Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/EAIS.2018.8397182

Article

Faint and clustered components in exponential analysis

Cuyt A, Tsai M, Verhoye M & Lee W (2018) Faint and clustered components in exponential analysis. Applied Mathematics and Computation, 327, pp. 93-103. https://doi.org/10.1016/j.amc.2017.11.007

Article

An Empirical Study of Meta- and Hyper-Heuristic Search for Multi-Objective Release Planning

Zhang Y, Harman M, Ochoa G, Ruhe G & Brinkkemper S (2018) An Empirical Study of Meta- and Hyper-Heuristic Search for Multi-Objective Release Planning. ACM Transactions on Software Engineering and Methodology, 27 (1), Art. No.: 3. https://doi.org/10.1145/3196831

Article

The Fundamental Code Unit of the Brain: Towards a New Model for Cognitive Geometry

Howard N & Hussain A (2018) The Fundamental Code Unit of the Brain: Towards a New Model for Cognitive Geometry. Cognitive Computation, 10 (3), pp. 426-436. https://doi.org/10.1007/s12559-017-9538-5

Article

PageRank centrality for performance prediction: the impact of the local optima network model

Herrmann S, Ochoa G & Rothlauf F (2018) PageRank centrality for performance prediction: the impact of the local optima network model. Journal of Heuristics, 24 (3), pp. 243-264. https://doi.org/10.1007/s10732-017-9333-1

Article

Spatial-temporal representatives selection and weighted patch descriptor for person re-identification

Zheng A, Wang F, Hussain A, Tang J & Jiang B (2018) Spatial-temporal representatives selection and weighted patch descriptor for person re-identification. Neurocomputing, 290, pp. 121-129. https://doi.org/10.1016/j.neucom.2018.02.039

Article

Glucose and lactate as metabolic constraints on presynaptic transmission at an excitatory synapse

Lucas SJ, Michel C, Marra V, Smalley JL, Hennig MH, Graham B & Forsythe ID (2018) Glucose and lactate as metabolic constraints on presynaptic transmission at an excitatory synapse. Journal of Physiology, 596 (9), pp. 1699-1721. https://doi.org/10.1113/JP275107

Article

Special Issue of BICS 2016

Liu C, Hussain A, Luo B, Tan KC, Zeng Y & Zhang Z (2018) Special Issue of BICS 2016. Cognitive Computation, 10 (2), pp. 282-283. https://doi.org/10.1007/s12559-018-9551-3

Article

A Machine Learning Approach to Detect Router Advertisement Flooding Attacks in Next-Generation IPv6 Networks

Anbar M, Abdullah R, Al-Tamimi BN & Hussain A (2018) A Machine Learning Approach to Detect Router Advertisement Flooding Attacks in Next-Generation IPv6 Networks. Cognitive Computation, 10 (2), pp. 201-214. https://doi.org/10.1007/s12559-017-9519-8

Article

On Nie-Tan operator and type-reduction of interval type-2 fuzzy sets

Li J, John R, Coupland S & Kendall G (2018) On Nie-Tan operator and type-reduction of interval type-2 fuzzy sets. IEEE Transactions on Fuzzy Systems, 26 (2), pp. 1036-1039. https://doi.org/10.1109/TFUZZ.2017.2666842

Technical Report

Investigating Benchmark Correlations when Comparing Algorithms with Parameter Tuning (Detailed Experiments and Results)

Christie LA, Brownlee A & Woodward JR (2018) Investigating Benchmark Correlations when Comparing Algorithms with Parameter Tuning (Detailed Experiments and Results). Not applicable. Stirling: University of Stirling.

Authored Book

Cognitive Agent-based Computing-V: Validated Agent-based Modeling for Complex Adaptive Systems

Niazi MA & Hussain A (2018) Cognitive Agent-based Computing-V: Validated Agent-based Modeling for Complex Adaptive Systems. SpringerBriefs in Cognitive Computation. Dordrecht: Springer.

Technical Report

Relating Training Instances to Automatic Design of Algorithms for Bin Packing via Features (Detailed Experiments and Results)

Brownlee A, Woodward JR & Veerapen N (2018) Relating Training Instances to Automatic Design of Algorithms for Bin Packing via Features (Detailed Experiments and Results). Not applicable. Stirling: University of Stirling.

Article

Integrating Smart Health in the US Health Care System: Infodemiology Study of Asthma Monitoring in the Google Era

Mavragani A, Sampri A, Sypsa K & Tsagarakis KP (2018) Integrating Smart Health in the US Health Care System: Infodemiology Study of Asthma Monitoring in the Google Era. JMIR Public Health and Surveillance, 4 (1), Art. No.: e24. https://doi.org/10.2196/publichealth.8726

Article

A novel decision support system for the interpretation of remote sensing big data

Boulila W, Farah IR & Hussain A (2018) A novel decision support system for the interpretation of remote sensing big data. Earth Science Informatics, 11 (1), pp. 31-45. https://doi.org/10.1007/s12145-017-0313-7

Article

RIPL: A Parallel Image Processing Language for FPGAs

Stewart R, Duncan K, Michaelson G, Garcia P, Bhowmik D & Wallace A (2018) RIPL: A Parallel Image Processing Language for FPGAs. ACM Transactions on Reconfigurable Technology and Systems, 11 (1), Art. No.: 7. https://doi.org/10.1145/3180481

Article

Replicable parallel branch and bound search

Archibald B, Maier P, McCreesh C, Stewart R & Trinder P (2018) Replicable parallel branch and bound search. Journal of Parallel and Distributed Computing, 113, pp. 92-114. https://doi.org/10.1016/j.jpdc.2017.10.010

Conference Paper (published)

Smart contracts vulnerabilities: a call for blockchain software engineering?

Destefanis G, Marchesi M, Ortu M, Tonelli R, Bracciali A & Hierons R (2018) Smart contracts vulnerabilities: a call for blockchain software engineering?. In: Tonelli R, Ducasse S S, Fenu G & Bracciali A (eds.) 2018 International Workshop on Blockchain Oriented Software Engineering (IWBOSE). 2018 IEEE 1st International Workshop on Blockchain Oriented Software Engineering (IWBOSE), Campobasso, Italy, 20.03.2018-20.03.2018. Piscataway, NJ, USA: IEEE, pp. 19-25. https://doi.org/10.1109/IWBOSE.2018.8327567

Article

The Active Inference Approach to Ecological Perception: General Inforation Dynamics for Natural and Artifical Embodied Cognition

Linson A, Clark A, Ramamoorthy S & Friston K (2018) The Active Inference Approach to Ecological Perception: General Inforation Dynamics for Natural and Artifical Embodied Cognition. Frontiers in Robotics and AI, 5, Art. No.: 21. https://doi.org/10.3389/frobt.2018.00021

Article

A model for estimating pathogen variability in shellfish and predicting minimum depuration times

McMenemy P, Kleczkowski A, Lees DN, Lowther J & Taylor N (2018) A model for estimating pathogen variability in shellfish and predicting minimum depuration times. PLoS ONE, 13 (3), Art. No.: e0193865. https://doi.org/10.1371/journal.pone.0193865

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