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Learning and Searching Pseudo-Boolean Surrogate Functions from Small Samples
Swingler K (2020) Learning and Searching Pseudo-Boolean Surrogate Functions from Small Samples. Evolutionary Computation, 28 (2), pp. 317-338. https://doi.org/10.1162/evco_a_00257
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Comparison between Maximal Independent Sets and Maximal Cliques Models to Calculate the Capacity of?Multihop Wireless Networks
Heal M & Li J (2020) Comparison between Maximal Independent Sets and Maximal Cliques Models to Calculate the Capacity of?Multihop Wireless Networks. In: Arai K & Bhatia R (eds.) Advances in Information and Communication. FICC 2019. Lecture Notes in Networks and Systems, 70. FICC 2019: Future of Information and Communication Conference, San Francisco, CA, USA, 14.03.2019-15.03.2019. Cham, Switzerland: Springer International Publishing Company, pp. 603-615. https://doi.org/10.1007/978-3-030-12385-7_44
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On Refining Design Patterns for Smart Contracts: A use case on water management
Zecchini M, Bracciali A, Chatzigiannakis I & Vitaletti A (2020) On Refining Design Patterns for Smart Contracts: A use case on water management. In: Schwardmann U, Boehme C, Heras DB, Cardellini V, Jeannot E, Salis A, Schifanella C, Reddy Manumachu R, Schwamborn D, Ricci L, Sangyoon O, Gruber T, Antonelli L & Scott SL (eds.) Euro-Par 2019: Parallel Processing Workshops. Lecture Notes in Computer Science, 11997. 2nd International Workshop on Future Perspective of Decentralized APPlications, Gottingen, Germany, 26.08.2019-29.08.2019. Cham, Switzerland: Springer, pp. 228-239. https://doi.org/10.1007/978-3-030-48340-1_18
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YewPar: Skeletons for Exact Combinatorial Search
Archibald B, Maier P, Stewart R & Trinder P (2020) YewPar: Skeletons for Exact Combinatorial Search. In: PPoPP '20: Proceedings of the 25th Symposium on Principles and Practice of Parallel Programming. Principles and Practice of Parallel Programming 2020 (PPoPP 2020), San Diego, 22.02.2020-26.02.2020. New York: ACM, pp. 292-307. https://doi.org/10.1145/3332466.3374537
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CochleaNet: A Robust Language-independent Audio-Visual Model for Speech Enhancement
Gogate M, Dashtipour K, Adeel A & Hussain A (2020) CochleaNet: A Robust Language-independent Audio-Visual Model for Speech Enhancement. Information Fusion, 63, pp. 273-285. https://doi.org/10.1016/j.inffus.2020.04.001
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Quinine exposure and the risk of acute kidney injury: a population-based observational study of older people
Duncan ADS, Hapca S, De Souza N, Morales D & Bell S (2020) Quinine exposure and the risk of acute kidney injury: a population-based observational study of older people. Age and Ageing, 49 (6), pp. 1042-1047. https://doi.org/10.1093/ageing/afaa079
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Exploring Personalised Autonomous Vehicles to Influence User Trust
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A novel encoding for separable large-scale multi-objective problems and its application to the optimisation of housing stock improvements
Brownlee A, Wright J, He M, Lee T & McMenemy P (2020) A novel encoding for separable large-scale multi-objective problems and its application to the optimisation of housing stock improvements. Applied Soft Computing, 96, Art. No.: 106650. https://doi.org/10.1016/j.asoc.2020.106650
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Zoocentrism in the weeds? Cultivating plant models for cognitive yield
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On eigenvalue multiplicity in signed graphs
Ramezani F, Rowlinson P & Stani? Z (2020) On eigenvalue multiplicity in signed graphs. Discrete Mathematics, 343 (10), Art. No.: 111982. https://doi.org/10.1016/j.disc.2020.111982
Letter
Real-time Continuous Glucose Monitoring During a Hyperinsulinemic Hypoglycemic Clamp Significantly Underestimates the Degree of Hypoglycemia
Farrell CM, McNeilly AD, Hapca SM & McCrimmon RJ (2020) Real-time Continuous Glucose Monitoring During a Hyperinsulinemic Hypoglycemic Clamp Significantly Underestimates the Degree of Hypoglycemia. Diabetes Care, 43 (10), pp. e142-e143. https://doi.org/10.2337/dc20-0882
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Ir-Man: An Information Retrieval Framework for Marine Animal Necropsy Analysis
Carmichael AFB, Bhowmik D, Baily J, Brownlow A, Gunn GJ & Reeves A (2020) Ir-Man: An Information Retrieval Framework for Marine Animal Necropsy Analysis. In: BCB '20: Proceedings of the 11th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics. 11th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB 2020), Virtual, 21.09.2020-24.09.2020. New York: ACM, p. 67. https://doi.org/10.1145/3388440.3412417
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Conflict-free routing of multi-stop warehouse trucks
Brownlee A, Swan J, Senington R & Kocsis Z (2020) Conflict-free routing of multi-stop warehouse trucks. Optimization Letters, 14 (6), p. 1459–1470. https://doi.org/10.1007/s11590-019-01453-6
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Incentive compatible and anti-compounding of wealth in proof-of-stake
Wang Y, Yang G, Bracciali A, Leung H, Tian H, Ke L & Yu X (2020) Incentive compatible and anti-compounding of wealth in proof-of-stake. Information Sciences, 530, pp. 85-94. https://doi.org/10.1016/j.ins.2020.03.098
Article
Production and joint emission reduction decisions based on two-way cost-sharing contract under cap-and-trade regulation
Wang Z, Brownlee A & Wu Q (2020) Production and joint emission reduction decisions based on two-way cost-sharing contract under cap-and-trade regulation. Computers and Industrial Engineering, 146, Art. No.: 106549. https://doi.org/10.1016/j.cie.2020.106549
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IoT Security Vulnerabilities and Predictive Signal Jamming Attack Analysis in LoRaWAN
Ingham M, Marchang J & Bhowmik D (2020) IoT Security Vulnerabilities and Predictive Signal Jamming Attack Analysis in LoRaWAN. IET Information Security, 14 (4), pp. 368-379. https://doi.org/10.1049/iet-ifs.2019.0447
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Tracking COVID-19 in Europe: Infodemiology Approach
Mavragani A (2020) Tracking COVID-19 in Europe: Infodemiology Approach. JMIR Public Health and Surveillance, 6 (2), Art. No.: e18941. https://doi.org/10.2196/18941
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Towards the automatic detection of skin lesion shape asymmetry, color variegation and diameter in dermoscopic images
Ali A, Li J & O’Shea SJ (2020) Towards the automatic detection of skin lesion shape asymmetry, color variegation and diameter in dermoscopic images. PLOS ONE, 15 (6), Art. No.: e0234352. https://doi.org/10.1371/journal.pone.0234352
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A New Generalized Partition Crossover for the Traveling Salesman Problem: Tunneling Between Local Optima
Tinós R, Whitley D & Ochoa G (2020) A New Generalized Partition Crossover for the Traveling Salesman Problem: Tunneling Between Local Optima. Evolutionary Computation, 28 (2), pp. 255-288. https://doi.org/10.1162/evco_a_00254
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Regular sparse array direction of arrival estimation in one dimension
Knaepkens F, Cuyt A, Lee W & de Villiers DIL (2020) Regular sparse array direction of arrival estimation in one dimension. IEEE Transactions on Antennas and Propagation, 68 (5), pp. 3997-4006. https://doi.org/10.1109/TAP.2019.2963618
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How to get high resolution results from sparse and coarsely sampled data
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Thesis
Novel symbolic and sub-symbolic approaches for text based and multimodal sentiment analysis
Dashtipour K (2020) Novel symbolic and sub-symbolic approaches for text based and multimodal sentiment analysis. Doctor of Philosophy. 我要吃瓜.
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A problem concerning graphs with just three distinct eigenvalues
Rowlinson P (2020) A problem concerning graphs with just three distinct eigenvalues. Linear Algebra and its Applications, 592, pp. 260-269. https://doi.org/10.1016/j.laa.2020.01.024
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A randomised controlled study of high intensity exercise as a dishabituating stimulus to improve hypoglycaemia awareness in people with type 1 diabetes: a proof-of-concept study
Farrell CM, McNeilly AD, Fournier P, Jones T, Hapca SM, West D & McCrimmon RJ (2020) A randomised controlled study of high intensity exercise as a dishabituating stimulus to improve hypoglycaemia awareness in people with type 1 diabetes: a proof-of-concept study. Diabetologia, 63 (4), pp. 853-863. https://doi.org/10.1007/s00125-019-05076-5
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Infodemiology and Infoveillance: Scoping Review
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Exploration of media blockchain technologies for JPEG privacy and security
Temmermans F, Bhowmik D, Pereira F, Ebrahimi T & Schelkens P (2020) Exploration of media blockchain technologies for JPEG privacy and security. In: Kozacki T & Schelkens P (eds.) Optics, Photonics and Digital Technologies for Imaging Applications VI. Proceedings of SPIE, 11353. SPIE Photonics Europe 2020, Online Only, France, 06.04.2020-10.04.2020. SPIE, p. 113530U. https://doi.org/10.1117/12.2556684
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Programming Languages for Data-Intensive HPC Applications: a Systematic Mapping Study
Amaral V, Norberto B, Goul?o M, Aldinucci M, Benkner S, Bracciali A, Carreira P, Celms E, Correia L, Grelck C, Karatza H, Kessler C, Kilpatrick P, Martiniano H & Mavridis I (2020) Programming Languages for Data-Intensive HPC Applications: a Systematic Mapping Study. Parallel Computing, 91, Art. No.: 102584. https://doi.org/10.1016/j.parco.2019.102584
Technical Report
Methods And Sources For Underpinning Airport Ground Movement Decision Support Systems
Brownlee A, Atkin J, Woodward J & Burke E Methods And Sources For Underpinning Airport Ground Movement Decision Support Systems. None.
Article
A Hybrid Persian Sentiment Analysis Framework: Integrating Dependency Grammar Based Rules and Deep Neural Networks
Dashtipour K, Gogate M, Li J, Jiang F, Kong B & Hussain A (2020) A Hybrid Persian Sentiment Analysis Framework: Integrating Dependency Grammar Based Rules and Deep Neural Networks. Neurocomputing, 380, pp. 1-10. https://doi.org/10.1016/j.neucom.2019.10.009
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Creeping waves in the shadow region with the Dirichlet and Neumann conditions
Kirpichnikova A & Kirpichnikova N (2020) Creeping waves in the shadow region with the Dirichlet and Neumann conditions. In: Motygin O, Kiselev A, Goray L, Fedotov A, Ya Kazakov A & Kirpichnikova A (eds.) Proceedings of the International Conference Days on Diffraction 2019. Days on Diffraction 2019, St. Petersburg, Russia, 03.06.2019-07.06.2019. Piscataway, NJ: IEEE, pp. 89-93. https://doi.org/10.1109/DD46733.2019.9016422
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Facing Erosion Identification in Railway Lines Using Pixel-wise Deep-based Approaches
Nogueira K, Machado GLS, Gama PHT, Da Silva CCV, Balaniuk R & Santos JAD (2020) Facing Erosion Identification in Railway Lines Using Pixel-wise Deep-based Approaches. Remote Sensing, 12 (4), Art. No.: 739. https://doi.org/10.3390/rs12040739
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A hybrid combinatorial approach to a two-stage stochastic portfolio optimization model with uncertain asset prices
Cui T, Bai R, Ding S, Parkes AJ, Qu R, He F & Li J (2020) A hybrid combinatorial approach to a two-stage stochastic portfolio optimization model with uncertain asset prices. Soft Computing, 24 (4), p. 2809–2831. https://doi.org/10.1007/s00500-019-04517-y
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Active inference, stressors, and psychological trauma: A neuroethological model of (mal)adaptive explore-exploit dynamics in ecological context
Linson A, Parr T & Friston KJ (2020) Active inference, stressors, and psychological trauma: A neuroethological model of (mal)adaptive explore-exploit dynamics in ecological context. Behavioural Brain Research, 380, Art. No.: 112421. https://doi.org/10.1016/j.bbr.2019.112421
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The Effect of Forest Management Options on Forest Resilience to Pathogens
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Visit-to-Visit HbA1c Variability Is Associated With Cardiovascular Disease and Microvascular Complications in Patients With Newly Diagnosed Type 2 Diabetes
Li S, Nemeth I, Donnelly L, Hapca S, Zhou K & Pearson ER (2020) Visit-to-Visit HbA1c Variability Is Associated With Cardiovascular Disease and Microvascular Complications in Patients With Newly Diagnosed Type 2 Diabetes. Diabetes Care, 43 (2), pp. 426-432. https://doi.org/10.2337/dc19-0823
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High accuracy trigonometric approximations of the real Bessel functions of the first kind
Cuyt A, Lee W & Wu M (2020) High accuracy trigonometric approximations of the real Bessel functions of the first kind. Computational Mathematics and Mathematical Physics, 60 (1), pp. 119-127. https://doi.org/10.1134/S0965542520010078
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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
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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
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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
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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
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
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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
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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. 我要吃瓜. Stirling: 我要吃瓜.
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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
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
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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, 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
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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
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)
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: 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
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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, Cura?ao, 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, Cura?ao, 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
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
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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, 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
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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
Conference Paper (published)
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
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
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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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A New Algorithm for SAR Image Target Recognition Based on an Improved Deep Convolutional Neural Network
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
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
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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-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
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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
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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
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
Experts Views on the Use of Mobile Devices to Support Patients with Mild Learning Disabilities During Clinical Consultations
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
Characteristics and hospital activity of elderly patients receiving admission avoidance home visits: a population-level record linkage study
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
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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
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
Evaluation of Random Forest and Ensemble Methods at Predicting Complications Following Cardiac Surgery
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
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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
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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
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
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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
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
Article
Change detection using distance-based algorithms between synthetic aperture radar polarimetric decompositions
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