Showing 401 to 500 of 2403
Article
Multi-objective Evolutionary Design of Antibiotic Treatments
Ochoa G, Christie LA, Brownlee AE & Hoyle A (2020) Multi-objective Evolutionary Design of Antibiotic Treatments. Artificial Intelligence in Medicine, 102, Art. No.: 101759. https://doi.org/10.1016/j.artmed.2019.101759
Article
Embedding distortion analysis in wavelet-domain watermarking
Bhowmik D & Abhayaratne C (2020) Embedding distortion analysis in wavelet-domain watermarking. ACM Transactions on Multimedia Computing, Communications and Applications, 15 (4), Art. No.: 108. https://doi.org/10.1145/3357333
Article
Modelling Evolution of Virulence in Populations with a Distributed Parasite Load
Sandhu SK, Morozov AY & Farkas JZ (2020) Modelling Evolution of Virulence in Populations with a Distributed Parasite Load. Journal of Mathematical Biology, 80 (1-2), p. 111–141. https://doi.org/10.1007/s00285-019-01351-6
Article
Saleem S, Saeed A, Usman S, Ferzund J, Arshad J, Mirza J & Manzoor T (2020) Granger causal analysis of electrohysterographic and tocographic recordings for classification of term vs. preterm births. Biocybernetics and Biomedical Engineering, 40 (1), pp. 454-467. https://doi.org/10.1016/j.bbe.2020.01.007
Article
Thomson P, Howie K, Leslie SJ, Angus NJ, Andreis F, Thomson R, Mohan ARM, Mondoa C & Chung ML (2020) Evaluating emotional distress and health-related quality of life in patients with heart failure and their family caregivers: Testing dyadic dynamics using the Actor-Partner Interdependence Model. PLOS ONE, 15 (1), Art. No.: e0227129. https://doi.org/10.1371/journal.pone.0227129
Article
Impacts of Reducing UK Beef Consumption Using a Revised Sustainable Diets Framework
Chalmers N, Stetkiewicz S, Sudhakar P, Osei-Kwasi H & Reynolds CJ (2019) Impacts of Reducing UK Beef Consumption Using a Revised Sustainable Diets Framework. Sustainability, 11 (23), Art. No.: 6863. https://doi.org/10.3390/su11236863
Conference Paper (published)
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
Conference Paper (published)
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
Conference Paper (published)
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
Conference Paper (published)
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
Conference Paper (published)
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
Article
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
Conference Paper (published)
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
Conference Paper (published)
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
Conference Paper (published)
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
Article
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
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. 我要吃瓜. Stirling: 我要吃瓜.
Conference Paper (published)
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
Article
Boundary perturbations and steady states of structured populations
Calsina A & Farkas JZ (2019) Boundary perturbations and steady states of structured populations. Discrete and Continuous Dynamical Systems - Series B, 24 (12), pp. 6675-6691. https://doi.org/10.3934/dcdsb.2019162
Conference Paper (published)
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
Conference Paper (published)
Training researchers with the MOVING platform
Vagliano I, Fessl A, Günther F, K?hler T, Mezaris V, Saleh A, Scherp A & ?imi? 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
Conference Paper (published)
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
Conference Paper (published)
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
Conference Paper (published)
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, G?ttingen, 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
Article
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
Article
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
Conference Paper (published)
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
Conference Paper (published)
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: Ko?odziej 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
Conference Paper (published)
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: Ko?odziej 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
Conference Paper (published)
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
Edited Book
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, Cura?ao, March 2, 2018, Revised Selected Papers. Berlin Heidelberg: Springer. https://doi.org/10.1007/978-3-662-58820-8
Conference Paper (published)
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
Conference Paper (published)
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
Conference Paper (published)
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
Conference Paper (published)
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
Conference Paper (published)
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
Article
Gao F, Huang T, Sun J, Wang J, Hussain A & Yang E (2019) A New Algorithm for SAR Image Target Recognition Based on an Improved Deep Convolutional Neural Network. Cognitive Computation, 11 (6), pp. 809-824. https://doi.org/10.1007/s12559-018-9563-z
Book Chapter
Ontology-Driven, Adaptive, Medical Questionnaires for Patients with Mild Learning Disabilities
Gibson RC, Bouamrane M & Dunlop MD (2019) Ontology-Driven, Adaptive, Medical Questionnaires for Patients with Mild Learning Disabilities. In: Bramer M & Petridis M (eds.) Artificial Intelligence XXXVI: 39th SGAI International Conference on Artificial Intelligence, AI 2019, Cambridge, UK, December 17–19, 2019, Proceedings. Lecture Notes in Computer Science. Springer International Publishing, pp. 107-121. https://doi.org/10.1007/978-3-030-34885-4_8
Book Chapter
Gibson RC, Bouamrane M & Dunlop M (2019) Experts Views on the Use of Mobile Devices to Support Patients with Mild Learning Disabilities During Clinical Consultations. In: Ohno-Machado L & Seroussi B (eds.) MEDINFO 2019: Health and Wellbeing e-Networks for All. Studies in Health Technology and Informatics, Volume 264. IOS Press, pp. 1199 - 1203. https://doi.org/10.3233/SHTI190416
Book Chapter
Cristina Martin M, Bouamrane M, Woolman P, Kavanagh K & Young D (2019) Characteristics and hospital activity of elderly patients receiving admission avoidance home visits: a population-level record linkage study [Martin-Bouamrane-etAl-MEDINFO 2019]. In: Ohno-Machado L & Seroussi B (eds.) MEDINFO 2019: Health and Wellbeing e-Networks for All. Studies in Health Technology and Informatics, Vol 264. IOS Press, pp. 556 - 560. https://doi.org/10.3233/shti190284
Article
Bagheri M, Dehghani M, Esmaeily A & Akbari V (2019) Assessment of land subsidence using interferometric synthetic aperture radar time series analysis and artificial neural network in a geospatial information system: case study of Rafsanjan Plain. Journal of Applied Remote Sensing, 13 (04), p. 1. https://doi.org/10.1117/1.jrs.13.044530
Book Chapter
Lapp L, Bouamrane M, Kavanagh K, Roper M, Young D & Schraag S (2019) Evaluation of Random Forest and Ensemble Methods at Predicting Complications Following Cardiac Surgery. In: Riano D, Wilk S & ten Teije A (eds.) Artificial Intelligence in Medicine: 17th Conference on Artificial Intelligence in Medicine, AIME 2019, Poznan, Poland, June 26–29, 2019, Proceedings. Lecture Notes in Computer Science, LNCS volume 11526. Cham: Springer International Publishing, pp. 376-385. https://doi.org/10.1007/978-3-030-21642-9_48
Conference Paper (published)
Local Optima Networks for Continuous Fitness Landscapes
Adair J, Ochoa G & Malan KM (2019) Local Optima Networks for Continuous Fitness Landscapes. In: López-Ibá?ez 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
Conference Paper (published)
Local Optima Network Analysis for MAX-SAT
Ochoa G & Chicano F (2019) Local Optima Network Analysis for MAX-SAT. In: López-Ibá?ez 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
Conference Paper (published)
Recent Advances in Fitness Landscape Analysis
Ochoa G & Malan K (2019) Recent Advances in Fitness Landscape Analysis. In: López-Ibá?ez 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-Ibá?ez 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)
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
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
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
Article
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
Article
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
Other
(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
Article
Najafi A, Hasanlou M & Akbari V (2019) Change detection using distance-based algorithms between synthetic aperture radar polarimetric decompositions. International Journal of Remote Sensing, 40 (15), pp. 6084-6097. https://doi.org/10.1080/01431161.2019.1587202
Article
A Gaussian random field model for de-speckling of multi-polarized Synthetic Aperture Radar data
Mahdianpari M, Motagh M, Akbari V, Mohammadimanesh F & Salehi B (2019) A Gaussian random field model for de-speckling of multi-polarized Synthetic Aperture Radar data. Advances in Space Research, 64 (1), pp. 64-78. https://doi.org/10.1016/j.asr.2019.03.013
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
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
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
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 Proceedings
(2019) Haemodialysis Electronic Patient Portal: A Design Requirements Analysis and Feasibility Study with Domain Experts. 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS), Cordoba, Spain, 05.06.2019-07.06.2019. IEEE. https://doi.org/10.1109/cbms.2019.00051
Article
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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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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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
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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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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Gibson RC, Bouamrane M & Dunlop M (2019) Design Requirements for a Digital Aid to Support Adults With Mild Learning Disabilities During Clinical Consultations: Qualitative Study With Experts. JMIR Rehabilitation and Assistive Technologies, 6 (1), Art. No.: e10449. https://doi.org/10.2196/10449
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Connor R, Vadicamo L, Cardillo FA & Rabitti F (2019) Supermetric search. Information Systems, 80, pp. 108-123. https://doi.org/10.1016/j.is.2018.01.002
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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
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Blakeway S, Gromov D, Gromova E, Kirpichnikova A & Plekhanova T (2019) Increasing the performance of a Mobile Ad-hoc Network using a game-theoretic approach to drone positioning [Game Theoretic approach to increasing MANET performance]. Vestnik of Saint Petersburg University Applied Mathematics. Computer Science. Control Processes, 15 (1), pp. 22-38. http://vestnik.spbu.ru/ENG/s10.html
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Somers C, Grieve E, Lennon M, Bouamrane M, Mair FS & McIntosh E (2019) Valuing Mobile Health: An Open-Ended Contingent Valuation Survey of a National Digital Health Program. JMIR mHealth and uHealth, 7 (1), p. e3. https://doi.org/10.2196/mhealth.9990
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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
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Predicting referendum results in the Big Data Era
Mavragani A & Tsagarakis KP (2019) Predicting referendum results in the Big Data Era. Journal of Big Data, 6 (1), Art. No.: 3. https://doi.org/10.1186/s40537-018-0166-z
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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
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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-Ibá?ez 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
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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-Ibá?ez 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
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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
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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
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Cowie J, Boa S, King E, Wells M & Cairns D (2018) Electronic Swallowing Intervention Package to Support Swallowing Function in Patients With Head and Neck Cancer: Development and Feasibility Study. JMIR Formative Research, 2 (2), Art. No.: e15. https://doi.org/10.2196/formative.9703
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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
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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
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Querying Metric Spaces with Bit Operations
Connor R & Dearle A (2018) Querying Metric Spaces with Bit Operations. In: Similarity Search and Applications. SISAP 2018. Lecture Notes in Computer Science, 11223. 11th International Conference on Similarity Search and Applications - SISAP 2018, Lima, Peru, 07.10.2018-09.10.2018. Cham, Switzerland: Springer, pp. 33-46. https://doi.org/10.1007/978-3-030-02224-2_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
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Analyzing the Evolution of Vocabulary Terms and Their Impact on the LOD Cloud
Abdel-Qader M, Scherp A & Vagliano I (2018) Analyzing the Evolution of Vocabulary Terms and Their Impact on the LOD Cloud. In: Gangemi A, Navigli R, Vidal M, Hitzler P, Troncy R, Hollink L, Tordai A & Alam M (eds.) The Semantic Web. ESWC 2018. Lecture Notes in Computer Science, 10843. European Semantic Web Conference, Crete, Greece, 03.06.2018-07.06.2018. Cham, Switzerland: Springer International Publishing, pp. 1-16. https://doi.org/10.1007/978-3-319-93417-4_1