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Embedding distortion analysis in wavelet-domain watermarking
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Impacts of Reducing UK Beef Consumption Using a Revised Sustainable Diets Framework
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Practical Performance of Regular Sparse Array Direction of Arrival Estimation in 1-D
De Villiers DIL, Louw R, Weideman R, Cuyt A, Knaepkens F & Lee W (2019) Practical Performance of Regular Sparse Array Direction of Arrival Estimation in 1-D. In: 9th IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications, APWC 2019. IEEE-APS Conference on Antennas and Propagation for Wireless Communications, Granada, Spain, 09.09.2019-13.09.2019. Piscataway, NJ: Institute of Electrical and Electronics Engineers Inc. pp. 112-112. https://doi.org/10.1109/APWC.2019.8870566
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Citizens Vote to Act: smart contracts for the management of water resources in smart cities
Bracciali A, Chatzigiannakis I & Vitaletti A (2019) Citizens Vote to Act: smart contracts for the management of water resources in smart cities. In: Proceedings of 1st International Conference on Societal Automation. 1st International Conference on Societal Automation, Krakow, Poland, 04.09.2019-06.09.2019. Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/SA47457.2019.8938093
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OLSR optimisation for lightweight MANET-internet integration
al Mojamed M & Kolberg M (2019) OLSR optimisation for lightweight MANET-internet integration. In: Proceedings of 2019 International Conference on Information and Communication Technology and Systems (ICTS). 12th International Conference on Information & Communication Technology and System (ICTS 2019), Surabaya, Indonesia, 18.07.2019-18.07.2019. Piscataway, NJ, USA: Institute of Electrical and Electronics Engineers Inc. pp. 141-145. https://doi.org/10.1109/ICTS.2019.8850981
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Software Improvement with Gin: A Case Study
Petke J & Brownlee AEI (2019) Software Improvement with Gin: A Case Study. In: Nejati S & Gay G (eds.) Search-Based Software Engineering. SSBSE 2019. Lecture Notes in Computer Science, 11664. 11th International Symposium on Search Based Software Engineering, Tallinn, Estonia, 31.08.2019-01.09.2019. Cham, Switzerland: Springer Verlag, pp. 183-189. https://doi.org/10.1007/978-3-030-27455-9_14
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Work orders - Value from structureless text in the era of digitisation
Salo E, McMillan D & Connor R (2019) Work orders - Value from structureless text in the era of digitisation. In: SPE Offshore Europe Conference and Exhibition 2019, OE 2019. SPE Offshore Europe Conference and Exhibition 2019, Aberdeen, UK, 03.09.2019-06.09.2019. Richardson, TX, USA: Society of Petroleum Engineers. https://doi.org/10.2118/195788-MS
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Reframing PTSD for computational psychiatry with the active inference framework
Linson A & Friston K (2019) Reframing PTSD for computational psychiatry with the active inference framework. Cognitive Neuropsychiatry, 24 (5), pp. 347-386. https://doi.org/10.1080/13546805.2019.1665994
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Are antidementia drugs associated with reduced mortality after a hospital emergency admission in the population with dementia aged 65 years and older?
Hapca S, Burton JK, Cvoro V, Reynish E & Donnan PT (2019) Are antidementia drugs associated with reduced mortality after a hospital emergency admission in the population with dementia aged 65 years and older?. Alzheimer's and Dementia: Translational Research and Clinical Interventions, 5, pp. 431-440. https://doi.org/10.1016/j.trci.2019.07.011
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Modelling string structure in vector spaces
Connor R, Dearle A & Vadicamo L (2019) Modelling string structure in vector spaces. In: Amato G, Mecella M & Gennaro C (eds.) 27th Italian Symposium on Advanced Database Systems. CEUR Workshop Proceedings, 2400. SEBD 2019: Italian Symposium on Advanced Database Systems, Castiglione della Pescaia (Grosseto), Italy, 16.06.2019-19.06.2019. Aachen: CEUR-WS. http://ceur-ws.org/Vol-2400/paper-45.pdf
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Query Filtering with Low-Dimensional Local Embeddings
Chávez E, Connor R & Vadicamo L (2019) Query Filtering with Low-Dimensional Local Embeddings. In: SISAP 2019: Similarity Search and Applications. Lecture Notes in Computer Science, 11807. SISAP2019: International Conference on Similarity Search and Applications, Newark NJ, USA, 02.10.2019-04.10.2019. Cham, Switzerland: Springer, pp. 233-246. https://doi.org/10.1007/978-3-030-32047-8_21
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SPLX-Perm: A Novel Permutation-Based Representation for Approximate Metric Search
Vadicamo L, Connor R, Falchi F, Gennaro C & Rabitti F (2019) SPLX-Perm: A Novel Permutation-Based Representation for Approximate Metric Search. In: SISAP 2019: Similarity Search and Applications. Lecture Notes in Computer Science, 11807. SISAP2019: International Conference on Similarity Search and Applications, Newark, NJ, USA, 02.10.2019-04.10.2019. Cham, Switzerland: Springer, pp. 40-48. https://doi.org/10.1007/978-3-030-32047-8_4
Technical Report
Crowd Sourcing The Sounds Of Places With A Web Based Genetic Algorithm Techreport
Brownlee A, Kim S, Wang S, Chan S & Lawson JA (2019) Crowd Sourcing The Sounds Of Places With A Web Based Genetic Algorithm Techreport. University of Stirling. Stirling: University of Stirling.
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A Hybrid Metaheuristic Approach to a Real World Employee Scheduling Problem
Reid KN, Li J, Brownlee A, Kern M, Veerapen N, Swan J & Owusu G (2019) A Hybrid Metaheuristic Approach to a Real World Employee Scheduling Problem. In: Proceedings of the Genetic and Evolutionary Computation Conference 2019. GECCO '19: The Genetic and Evolutionary Computation Conference 2019, Prague, Czech Republic, 13.07.2019-17.07.2019. New York: ACM, pp. 1311-1318. https://doi.org/10.1145/3321707.3321769
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Boundary perturbations and steady states of structured populations
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Rigorous Performance Analysis of State-of-the-Art TSP Heuristic Solvers
McMenemy P, Veerapen N, Adair J & Ochoa G (2019) Rigorous Performance Analysis of State-of-the-Art TSP Heuristic Solvers. In: Liefooghe A & Paquete L (eds.) Evolutionary Computation in Combinatorial Optimization. Lecture Notes in Computer Science, 11452. EVOCOP 2019: European Conference on Evolutionary Computation in Combinatorial Optimization, Leipzig, Germany, 24.04.2019-26.04.2019. Cham, Switzerland: Springer International Publishing, pp. 99-114. https://doi.org/10.1007/978-3-030-16711-0_7
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Training researchers with the MOVING platform
Vagliano I, Fessl A, Günther F, Köhler T, Mezaris V, Saleh A, Scherp A & Šimić I (2019) Training researchers with the MOVING platform. In: Huet B, Kompatsiaris I, Vrochidis S, Mezaris V, Cheng W & Gurrin C (eds.) MultiMedia Modeling. MMM 2019. Lecture Notes in Computer Science, 11295. MMM 2019: International Conference on Multimedia Modeling, Thessaloniki, Greece, 08.01.2019-11.01.2019. Cham, Switzerland: Springer Verlag, pp. 560-565. https://doi.org/10.1007/978-3-030-05716-9_46
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Clarifying the Difference in Local Optima Network Sampling Algorithms
Thomson SL, Ochoa G & Verel S (2019) Clarifying the Difference in Local Optima Network Sampling Algorithms. In: Liefooghe A & Paquete L (eds.) Evolutionary Computation in Combinatorial Optimization. Lecture Notes in Computer Science, 11452. The 19th European Conference on Evolutionary Computation in Combinatorial Optimisation, Leipzig, Germany, 24.04.2019-26.04.2019. Cham, Switzerland: Springer International Publishing, pp. 163-178. https://doi.org/10.1007/978-3-030-16711-0_11
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Why High-Performance Modelling and Simulation for Big Data Applications Matters
Grelck C, Niewiadomska-Szynkiewicz E, Aldinucci M, Bracciali A & Larsson E (2019) Why High-Performance Modelling and Simulation for Big Data Applications Matters. In: Kołodziej J & González-Vélez H (eds.) High-Performance Modelling and Simulation for Big Data Applications. Lecture Notes in Computer Science, 11400. ICT COST Action IC1406 High-Performance Modelling and Simulation for Big Data Applications (cHiPSet), Vilnius, Lithuania, 28.03.2019-29.03.2019. Cham, Switzerland: Springer, pp. 1-35. https://doi.org/10.1007/978-3-030-16272-6_1
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Forecasting Cryptocurrency Value by Sentiment Analysis: An HPC-Oriented Survey of the State-of-the-Art in the Cloud Era
Zamuda A, Crescimanna V, Burguillo JC, Matos Dias J, Wegrzyn-Wolska K, Rached I, González-Vélez H, Senkerik R, Pop C, Cioara T, Salomie I & Bracciali A (2019) Forecasting Cryptocurrency Value by Sentiment Analysis: An HPC-Oriented Survey of the State-of-the-Art in the Cloud Era. In: Kołodziej J & González-Vélez H (eds.) High-Performance Modelling and Simulation for Big Data Applications. Lecture Notes in Computer Science, 11400. ICT COST Action IC1406 High-Performance Modelling and Simulation for Big Data Applications (cHiPSet), Vilnius, Lithuania, 28.03.2019-29.03.2019. Cham, Switzerland: Springer, pp. 325-349. https://doi.org/10.1007/978-3-030-16272-6_12
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Quasi-Optimal Recombination Operator
Chicano F, Ochoa G, Whitley D & Tinós R (2019) Quasi-Optimal Recombination Operator. In: Liefooghe A & Paquete L (eds.) Evolutionary Computation in Combinatorial Optimization. Lecture Notes in Computer Science, 11452. EvoCOP 2019: European Conference on Evolutionary Computation in Combinatorial Optimization, Leipzig, Germany, 24.04.2019-26.04.2019. Cham, Switzerland: Springer International Publishing, pp. 131-146. https://doi.org/10.1007/978-3-030-16711-0_9
Edited Book
Financial Cryptography and Data Security: FC 2018 International Workshops, BITCOIN, VOTING, and WTSC, Nieuwpoort, Curaçao, March 2, 2018, Revised Selected Papers
Zohar A, Eyal I, Teague V, Clark J, Bracciali A, Pintore F & Sala M (eds.) (2019) Financial Cryptography and Data Security: FC 2018 International Workshops, BITCOIN, VOTING, and WTSC, Nieuwpoort, Curaçao, March 2, 2018, Revised Selected Papers. Berlin Heidelberg: Springer. https://doi.org/10.1007/978-3-662-58820-8
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Data Analytics in Text Messages: A Mobile Network Operator Case Study
Babaee M & Sarabadani H (2019) Data Analytics in Text Messages: A Mobile Network Operator Case Study. In: 9th International Symposium on Telecommunication, IST 2018. 2018 9th International Symposium on Telecommunications (IST), Tehran, Iran, 17.12.2018-19.12.2018. Piscataway, NJ: Institute of Electrical and Electronics Engineers Inc. pp. 330-336. https://doi.org/10.1109/ISTEL.2018.8660969
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Speech enhancement based on adaptive noise cancellation and Particle Swarm Optimization
Taha TMF, Wajid SK & Hussain A (2019) Speech enhancement based on adaptive noise cancellation and Particle Swarm Optimization. Journal of Computer Science, 15 (5), pp. 691-701. https://doi.org/10.3844/jcssp.2019.691.701
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Implementing YewPar: a Framework for Parallel Tree Search
Archibald B, Maier P, Stewart R & Trinder P (2019) Implementing YewPar: a Framework for Parallel Tree Search. In: Yahyapour R (ed.) Euro-Par 2019: Parallel Processing. Lecture Notes in Computer Science, 11725. Euro-Par 2019: 25th International Conference on Parallel and Distributed Computing, Göttingen, Germany, 26.08.2019-30.08.2019. Cham, Switzerland: Springer Verlag, pp. 184-196. https://doi.org/10.1007/978-3-030-29400-7_14
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Sentiment Aware Fake News Detection on Online Social Networks
Ajao O, Bhowmik D & Zargari S (2019) Sentiment Aware Fake News Detection on Online Social Networks. In: ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE International Conference on Acoustics, Speech, and Signal Processing Proceedings. 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brighton, UK, 12.05.2019-17.05.2019. Piscataway, NJ, USA: IEEE, pp. 2507-2511. https://doi.org/10.1109/ICASSP.2019.8683170
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Insights into the feature selection problem using local optima networks
Mostert W, Malan KM, Ochoa G & Engelbrecht AP (2019) Insights into the feature selection problem using local optima networks. In: Liefooghe A & Paquete L (eds.) Evolutionary Computation in Combinatorial Optimization. Lecture Notes in Computer Science, 11452. 19th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2019, held as part of EvoStar 2019, Leipzig, Germany, 24.04.2019-26.04.2019. Cham, Switzerland: Springer Verlag, pp. 147-162. https://doi.org/10.1007/978-3-030-16711-0_10
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Transmission Power and effects on energy consumption and performance in MANET
Blakeway S, Kirpichnikova A, Schaeffer M & Secco EL (2019) Transmission Power and effects on energy consumption and performance in MANET. EAI Endorsed Transactions on Mobile Communications and Applications, 19 (16), Art. No.: e2. https://doi.org/10.4108/eai.13-7-2018.159336
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Supervised Versus Unsupervised Deep Learning Based Methods for Skin Lesion Segmentation in Dermoscopy Images
Ali A, Li J & Trappenberg T (2019) Supervised Versus Unsupervised Deep Learning Based Methods for Skin Lesion Segmentation in Dermoscopy Images. In: Meurs M & Rudzicz F (eds.) Advances in Artificial Intelligence. Lecture Notes in Computer Science, 11489. Canadian AI 2019: 32nd Canadian Conference on Artificial Intelligence, Kingston, ON, Canada, 28.05.2019-31.05.2019. Cham, Switzerland: Springer, pp. 373-379. https://doi.org/10.1007/978-3-030-18305-9_32
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Shift Scheduling and Employee Rostering: An Evolutionary Ruin & Stochastic Recreate Solution
Reid KN, Li J, Veerapen N, Swan J, Mccormick A, Kern M & Owusu G (2019) Shift Scheduling and Employee Rostering: An Evolutionary Ruin & Stochastic Recreate Solution. In: 2018 10th Computer Science and Electronic Engineering (CEEC). 10th Computer Science and Electronic Engineering Conference (CEEC), Colchester, 19.09.2018-21.09.2018. Piscataway, NJ, USA: IEEE, pp. 19-23. https://doi.org/10.1109/CEEC.2018.8674200
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Towards Arabic multi-modal sentiment analysis
Alqarafi AS, Adeel A, Gogate M, Dashtipour K, Hussain A & Durrani T (2019) Towards Arabic multi-modal sentiment analysis. In: Liang Q, Mu J, Jia M, Wang W, Feng X & Zhang B (eds.) Communications, Signal Processing, and Systems. CSPS 2017. Lecture Notes in Electrical Engineering, 463. CSPS 2017: Communications, Signal Processing, and Systems, 14.07.2017-16.07.2017. Harbin, China: Springer, pp. 2378-2386. https://doi.org/10.1007/978-981-10-6571-2_290
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A comparative study of Persian sentiment analysis based on different feature combinations
Dashtipour K, Gogate M, Adeel A, Hussain A, Alqarafi A & Durrani T (2019) A comparative study of Persian sentiment analysis based on different feature combinations. In: Liang Q, Mu J, Jia M, Wang W, Feng X & Zhang B (eds.) Communications, Signal Processing, and Systems. CSPS 2017. Lecture Notes in Electrical Engineering, 463. CSPS 2017: Communications, Signal Processing, and System, Harbin, China, 14.07.2017-16.07.2017. Cham, Switzerland: Springer, pp. 2288-2294. https://doi.org/10.1007/978-981-10-6571-2_279
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Local Optima Networks for Continuous Fitness Landscapes
Adair J, Ochoa G & Malan KM (2019) Local Optima Networks for Continuous Fitness Landscapes. 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. 1407-1414. https://doi.org/10.1145/3319619.3326852
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Local Optima Network Analysis for MAX-SAT
Ochoa G & Chicano F (2019) Local Optima Network Analysis for MAX-SAT. 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. 1430-1437. https://doi.org/10.1145/3319619.3326855
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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
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A Survey of Genetic Improvement Search Spaces
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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
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The importance of fisheries and aquaculture production for nutrition and food security
Norman R, Crumlish M & Stetkiewicz S (2019) The importance of fisheries and aquaculture production for nutrition and food security. Revue Scientifique et Technique - Office International des Epizooties, 38 (2), pp. 395-407. https://doi.org/10.20506/rst.38.2.2994
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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
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The Contact Structure of Great Britain's Salmon and Trout Aquaculture Industry
Jones AE, Munro LA, Green DM, Morgan KL, Murray AG, Norman R, Salama NKG, Ryder D, Taylor NGH, Thrush MA, Wallace IS & Sharkey KJ (2019) The Contact Structure of Great Britain's Salmon and Trout Aquaculture Industry. Epidemics, 28, Art. No.: 100342. https://doi.org/10.1016/j.epidem.2019.05.001
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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
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Eigenvalue multiplicity in regular graphs
Rowlinson P (2019) Eigenvalue multiplicity in regular graphs. Discrete Applied Mathematics, 269, pp. 11-17. https://doi.org/10.1016/j.dam.2018.07.023
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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 Proceeding
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 Proceeding
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
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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
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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
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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
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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
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Leontovich-Fock Parabolic Equation Method in the Neumann Diffraction Problem on a Prolate Body of Revolution
Kirpichnikova AS & Kirpichnikova NY (2019) Leontovich-Fock Parabolic Equation Method in the Neumann Diffraction Problem on a Prolate Body of Revolution. Journal of Mathematical Sciences, 238 (5), pp. 658-675. https://doi.org/10.1007/s10958-019-04265-2
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Evaluating Perceptions of Self-efficacy and Quality of Life in Patients Having Coronary Artery Bypass Grafting and Their Family Caregivers
Thomson P, Howie K, Mohan ARM & Chung ML (2019) Evaluating Perceptions of Self-efficacy and Quality of Life in Patients Having Coronary Artery Bypass Grafting and Their Family Caregivers. The Journal of Cardiovascular Nursing, 34 (3), pp. 250-257. https://doi.org/10.1097/jcn.0000000000000553
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The impact of fungicide treatment and Integrated Pest Management on barley yields: Analysis of a long term field trials database
Stetkiewicz S, Burnett FJ, Ennos RA & Topp CFE (2019) The impact of fungicide treatment and Integrated Pest Management on barley yields: Analysis of a long term field trials database. European Journal of Agronomy, 105, pp. 111-118. https://doi.org/10.1016/j.eja.2019.02.010
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
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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
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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
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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/
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Supermetric search
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