Computational Mathematics and Optimisation

Article

Multiscale matrix pencils for separable reconstruction problems

Cuyt A & Lee W (2024) Multiscale matrix pencils for separable reconstruction problems. Numerical Algorithms, 95, pp. 31-72. https://doi.org/10.1007/s11075-023-01564-3

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Edited Proceedings

ISSAC '24: Proceedings of the 2024 International Symposium on Symbolic and Algebraic Computation

Hauenstein J, Lee W & Chen S (eds.) (2024) ISSAC '24: Proceedings of the 2024 International Symposium on Symbolic and Algebraic Computation. The 2024 International Symposium on Symbolic and Algebraic Computation, Raleigh NC USA, 16.07.2024-19.07.2024. Association for Computing Machinery. https://dl.acm.org/

Article

Advanced manufacturing, formulation and microencapsulation of therapeutic phages

Malik DJ, Goncalves-Ribeiro H, Goldschmitt D, Collin J, Belkhiri A, Fernandes D, Weichert H & Kirpichnikova A (2023) Advanced manufacturing, formulation and microencapsulation of therapeutic phages. Clinical Infectious Diseases, 77 (Supplement 5), pp. S370-S383. https://doi.org/10.1093/cid/ciad555

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Article

A modeling study of the impact of treatment policies on the evolution of resistance in sea lice on salmon farms

Trombetta E, Jakubiak S, Kutkova S, Lipschutz D, O'hare A & Enright JA (2023) A modeling study of the impact of treatment policies on the evolution of resistance in sea lice on salmon farms. PLoS ONE.

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Article

On the robustness of exponential base terms and the Padé denominator in some least squares sense

Knaepkens F & Cuyt A (2023) On the robustness of exponential base terms and the Padé denominator in some least squares sense. Numerical Algorithms, 92 (1), pp. 747-766. https://doi.org/10.1007/s11075-022-01455-z

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Article

An Interval Type-2 Fuzzy Logic Based Map Matching Algorithm for Airport Ground Movements

Wang X, Brownlee AEI, Weiszer M, Woodward JR, Mahfouf M & Chen J (2022) An Interval Type-2 Fuzzy Logic Based Map Matching Algorithm for Airport Ground Movements. IEEE Transactions on Fuzzy Systems, 31 (2), pp. 582-595. https://doi.org/10.1109/TFUZZ.2022.3221793

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Other

Exponential Analysis: Theoretical Progress and Technological Innovation

Cuyt A, Lee W, Plonka-Hoch G & Knaepkens F (2022) Exponential Analysis: Theoretical Progress and Technological Innovation. Dagstuhl Seminar 22221, Wadern, Germany Dagstuhl Reports, 12 (5), pp. 170-187. https://doi.org/10.4230/DagRep.12.5.170

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Article

Validated analysis of modulated signals: From de Prony to Padé and beyond

Cuyt A, Hou Y & Lee W (2022) Validated analysis of modulated signals: From de Prony to Padé and beyond. Journal of Computational and Applied Mathematics, 413, Art. No.: 114346. https://doi.org/10.1016/j.cam.2022.114346

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Conference Paper (published)

Simulated performance of antenna position estimation through sub-sampled exponential analysis

Weideman R, Louw R, Knaepkens F, de Villiers D, Cuyt A, Lee W & Wijnholds SJ (2022) Simulated performance of antenna position estimation through sub-sampled exponential analysis. In: 2022 International Conference on Electromagnetics in Advanced Applications (ICEAA), Cape Town, South Africa, 05.09.2022-09.09.2022. IEEE, pp. 128-132. https://doi.org/10.1109/ICEAA49419.2022.9900012

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Conference Paper (published)

Decomposing Textures Using Exponential Analysis

Hou Y, Cuyt A, Lee W & Bhowmik D (2021) Decomposing Textures Using Exponential Analysis. In: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE International Conference on Acoustics, Speech and Signal Processing, Toronto, Ontario, Canada, 06.06.2021-11.06.2021. Piscataway: IEEE. https://doi.org/10.1109/ICASSP39728.2021.9413909

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Conference Paper (published)

Exploring the Accuracy - Energy Trade-off in Machine Learning

Brownlee A, Adair J, Haraldsson S & Jabbo J (2021) Exploring the Accuracy - Energy Trade-off in Machine Learning. In: 2021 IEEE/ACM International Workshop on Genetic Improvement (GI). Genetic Improvement Workshop at 43rd International Conference on Software Engineering, Madrid, Spain, 30.05.2021-30.05.2021. Piscataway, NJ: IEEE. https://doi.org/10.1109/GI52543.2021.00011

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Antenna position estimation through sub-sampled exponential analysis of harmonically related input signals

Louw R, Knaepkens F, Cuyt A, Lee W, Wijnholds SJ, de Villiers DIL & Weideman R (2021) Antenna position estimation through sub-sampled exponential analysis of harmonically related input signals. In: Proceedings of XXXIV General Assembly and Scientific Symposium (GASS) of the International Union of Radio Science (Union Radio Scientifique International - URSI). XXXIV General Assembly and Scientific Symposium (GASS) of the International Union of Radio Science (Union Radio Scientifique International - URSI), Rome, Italy, 28.08.2021-04.09.2021. Piscataway, NJ, USA: IEEE. https://doi.org/10.23919/URSIGASS51995.2021.9560519

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Conference Paper (published)

Mining Markov Network Surrogates to Explain the Results of Metaheuristic Optimisation

Brownlee A, Wallace A & Cairns D (2021) Mining Markov Network Surrogates to Explain the Results of Metaheuristic Optimisation. In: Martin K, Wiratunga N & Wijekoon A (eds.) Proceedings of the SICSA eXplainable Artifical Intelligence Workshop 2021. CEUR Workshop Proceedings, 2894. SICSA eXplainable Artifical Intelligence Workshop 2021, Aberdeen, 01.06.2021-01.06.2021. Aachen: CEUR Workshop Proceedings, pp. 64-70. http://ceur-ws.org/Vol-2894/short9.pdf

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Article

Construction of Artificial Point Sources for a Linear Wave Equation in Unknown Medium

Kirpichnikova A, Korpela J, Lassas M & Oksanen L (2021) Construction of Artificial Point Sources for a Linear Wave Equation in Unknown Medium. SIAM Journal on Control and Optimization, 59 (5), pp. 3737-3761. https://doi.org/10.1137/20M136904X

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Conference Paper (published)

Matching creeping waves with lit area diffraction field

Kirpichnikova A & Kirpichnikova N (2021) Matching creeping waves with lit area diffraction field. In: Motygin OV, Kiselev AP, Goray LI & Kirpichnikova AS (eds.) Proceedings of the International Conference "Days on Diffraction 2021", St. Petersburg, Russia. Days on Diffraction 2021, Saint-Petersburg, Russia, 31.05.2021-04.06.2021. IEEE Russia, pp. 98-102. http://www.pdmi.ras.ru/~dd/proceedings.php; https://doi.org/10.1109/DD52349.2021.9598659

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Article

A chance-constrained programming model for airport ground movement optimisation with taxi time uncertainties

Wang X, Brownlee AEI, Weiszer M, Woodward JR, Mahfouf M & Chen J (2021) A chance-constrained programming model for airport ground movement optimisation with taxi time uncertainties. Transportation Research Part C: Emerging Technologies, 132, Art. No.: 103382. https://doi.org/10.1016/j.trc.2021.103382

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Article

On the Introduction of Automatic Program Repair in Bloomberg

Kirbas S, Windels E, McBello O, Kells K, Pagano M, Szalanski R, Nowack V, Winter E, Counsell S, Bowes D, Hall T, Haraldsson S & Woodward J (2021) On the Introduction of Automatic Program Repair in Bloomberg. IEEE Software, 38 (4), pp. 43-51. https://doi.org/10.1109/ms.2021.3071086

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Article

Aircraft taxi time prediction: Feature importance and their implications

Wang X, Brownlee AEI, Woodward JR, Weiszer M, Mahfouf M & Chen J (2021) Aircraft taxi time prediction: Feature importance and their implications. Transportation Research Part C: Emerging Technologies, 124, Art. No.: 102892. https://doi.org/10.1016/j.trc.2020.102892

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Article

MANET performance optimization using network-based criteria and unmanned aerial vehicles

Gromova E, Kireev S, Lazareva A, Kirpichnikova A & Gromov D (2021) MANET performance optimization using network-based criteria and unmanned aerial vehicles. Journal of Sensor and Actuator Networks, 10 (1), Art. No.: 8. https://doi.org/10.3390/jsan10010008

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Article

Robust Visual Saliency Optimization Based on Bidirectional Markov Chains

Jiang F, Kong B, Li J, Dashtipour K & Gogate M (2021) Robust Visual Saliency Optimization Based on Bidirectional Markov Chains. Cognitive Computation, 13 (1), pp. 69-80. https://doi.org/10.1007/s12559-020-09724-6

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Article

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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Conference Paper (published)

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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Conference Paper (published)

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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Article

Sparse multidimensional exponential analysis with an application to radar imaging

Cuyt A, Hou Y, Knaepkens F & Lee W (2020) Sparse multidimensional exponential analysis with an application to radar imaging. SIAM Journal on Scientific Computing, 42 (3), p. B675–B695. https://doi.org/10.1137/19M1278004

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Article

Design and evaluation of a biologically-inspired cloud elasticity framework

Ullah A, Li J & Hussain A (2020) Design and evaluation of a biologically-inspired cloud elasticity framework. Cluster Computing, 23 (4), pp. 3095-3117. https://doi.org/10.1007/s10586-020-03073-7

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Conference Paper (published)

Injecting Shortcuts for Faster Running Java Code

Brownlee AEI, Petke J & Rasburn AF (2020) Injecting Shortcuts for Faster Running Java Code. In: 2020 IEEE Congress on Evolutionary Computation (CEC). IEEE World Congress on Computational Intelligence, Glasgow, 19.07.2020-24.07.2020. Piscataway, NJ, USA: IEEE, pp. 1-8. https://wcci2020.org/; https://doi.org/10.1109/CEC48606.2020.9185708

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Article

Automating the ABCD Rule for Melanoma Detection: A Survey

Ali A, Li J & Yang G (2020) Automating the ABCD Rule for Melanoma Detection: A Survey. IEEE Access, 8, pp. 83333-83346. https://doi.org/10.1109/access.2020.2991034

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Book Chapter

Finding the Maximal Independent Sets of a Graph Including the Maximum Using a Multivariable Continuous Polynomial Objective Optimization Formulation

Heal M & Li J (2020) Finding the Maximal Independent Sets of a Graph Including the Maximum Using a Multivariable Continuous Polynomial Objective Optimization Formulation. In: Arai K, Kapoor S & Bhatia R (eds.) Intelligent Computing. SAI 2020. Advances in Intelligent Systems and Computing, 1228. Cham, Switzerland: Springer International Publishing, pp. 122-136. https://doi.org/10.1007/978-3-030-52249-0_9

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Article

A Novel Fuzzy Multilayer Perceptron (F-MLP) for the Detection of Irregularity in Skin Lesion Border Using Dermoscopic Images

Ali A, Li J, Kanwal S, Yang G, Hussain A & O'Shea SJ (2020) A Novel Fuzzy Multilayer Perceptron (F-MLP) for the Detection of Irregularity in Skin Lesion Border Using Dermoscopic Images. Frontiers in Medicine, 7, Art. No.: 297. https://doi.org/10.3389/fmed.2020.00297

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Article

A machine learning approach to automatic detection of irregularity in skin lesion border using dermoscopic images

Ali​ A, Li J, Yang G & Jane O’Shea S (2020) A machine learning approach to automatic detection of irregularity in skin lesion border using dermoscopic images. PeerJ Computer Science, 6, Art. No.: e268. https://doi.org/10.7717/peerj-cs.268

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Article

VEXPA: Validated EXPonential Analysis through regular sub-sampling

Briani M, Cuyt A, Knaepkens F & Lee W (2020) VEXPA: Validated EXPonential Analysis through regular sub-sampling. Signal Processing, 177, Art. No.: 107722. https://doi.org/10.1016/j.sigpro.2020.107722

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Article

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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Article

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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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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Consultancy Report

Policing Covid: Public expectations and experiences during lockdown

Chamberlain J (2020) Policing Covid: Public expectations and experiences during lockdown. Cleveland Police and Crime Commissioner. https://research.tees.ac.uk/en/publications/policing-covid-public-expectations-and-experiences-during-lockdow

Article

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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Article

How to get high resolution results from sparse and coarsely sampled data

Cuyt A & Lee W (2020) How to get high resolution results from sparse and coarsely sampled data. Applied and Computational Harmonic Analysis, 48 (3), pp. 1066-1087. https://doi.org/10.1016/j.acha.2018.10.001

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Article

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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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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Conference Paper (published)

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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Article

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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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

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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

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Article

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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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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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

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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

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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

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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, 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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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

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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

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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

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Conference Paper (published)

A Survey of Genetic Improvement Search Spaces

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

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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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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

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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

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Article

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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Article

Supermetric search

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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Conference Paper (published)

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

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

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

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

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Investigating Benchmark Correlations when Comparing Algorithms with Parameter Tuning

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

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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

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Article

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

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

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Article

Net reproduction functions for nonlinear structured population models

Farkas JZ (2018) Net reproduction functions for nonlinear structured population models. Mathematical Modelling of Natural Phenomena, 13 (3), Art. No.: 32. https://doi.org/10.1051/mmnp/2018036

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From exponential analysis to Padé approximation and tensor decomposition, in one and more dimensions

Cuyt A, Knaepkens F & Lee W (2018) From exponential analysis to Padé approximation and tensor decomposition, in one and more dimensions. In: Gerdt V, Koepf W, Seiler W & Vorozhtsov E (eds.) Computer Algebra in Scientific Computing. CASC 2018. Lecture Notes in Computer Science (LNCS), 11077. Computer Algebra in Scientific Computing, Lille, France, 17.09.2018-21.09.2018. Cham, Switzerland: Springer International Publishing, pp. 116-130. https://doi.org/10.1007/978-3-319-99639-4_8

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Re-ranking Permutation-Based Candidate Sets with the n-Simplex Projection

Amato G, Chávez E, Connor R, Falchi F, Gennaro C & Vadicamo L (2018) Re-ranking Permutation-Based Candidate Sets with the n-Simplex Projection. In: Marchand-Maillet S, Silva YN & Chavez E (eds.) 11th International Conference on Similarity Search and Applications, SISAP 2018. Lecture Notes in Computer Science, 11223. SISAP 2018: International Conference on Similarity Search and Applications, Lima, Peru, 07.10.2018-09.10.2018. Cham, Switzerland: Springer Verlag, pp. 3-17. https://doi.org/10.1007/978-3-030-02224-2_1

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Article

A Dynamic Model of CT Scans for Quantifying Doubling Time of Ground Glass Opacities Using Histogram Analysis

Farkas JZ, Smith GT & Webb GF (2018) A Dynamic Model of CT Scans for Quantifying Doubling Time of Ground Glass Opacities Using Histogram Analysis. Mathematical Biosciences and Engineering, 15 (5), pp. 1203-1244. https://doi.org/10.3934/mbe.2018055

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Article

Multivariate exponential analysis from the minimal number of samples

Cuyt A & Lee W (2018) Multivariate exponential analysis from the minimal number of samples. Advances in Computational Mathematics, 44 (4), pp. 987-1002. https://doi.org/10.1007/s10444-017-9570-8

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Article

A Fuzzy Approach to Addressing Uncertainty in Airport Ground Movement Optimisation

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

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Article

Faint and clustered components in exponential analysis

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

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Conference Paper (published)

Superresolution underwater acoustics

Cuyt A, Lee W, Tijskens E, Hong W, Wang J, Cools T & Geerts T (2018) Superresolution underwater acoustics. In: Proceedings of Euronoise 2018. Euronoise 2018, 27.05.2018-31.05.2018. Crete, Greece: Hellenic Institute of Acoustics, pp. 2845-2850. http://www.euronoise2018.eu/docs/papers/469_Euronoise2018.pdf

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Article

Deterministic sparse FFT for M-sparse vectors

Plonka G, Wannenwetsch K, Cuyt A & Lee W (2018) Deterministic sparse FFT for M-sparse vectors. Numerical Algorithms, 78 (1), pp. 133-159. https://doi.org/10.1007/s11075-017-0370-5

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Technical Report

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

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

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Technical Report

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

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

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Article

Replicable parallel branch and bound search

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

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High-dimensional simplexes for supermetric search

Connor R, Vadicamo L & Rabitti F (2017) High-dimensional simplexes for supermetric search. In: Beecks C, Borutta F, Kröger P & Seidl T (eds.) Similarity Search and Applications. SISAP 2017. Lecture Notes in Computer Science, 10609. Similarity Search and Applications 10th International Conference, SISAP 2017, Munich, 04.10.2017-06.10.2017. Cham, Switzerland: Springer, pp. 96-109. https://doi.org/10.1007/978-3-319-68474-1_7

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Fixing bugs in your sleep: How genetic improvement became an overnight success

Haraldsson S, Woodward J, Brownlee A & Siggeirsdottir K (2017) Fixing bugs in your sleep: How genetic improvement became an overnight success. In: 2017 Genetic and Evolutionary Computation Conference Companion, GECCO 2017. GECCO 2017: The Genetic and Evolutionary Computation Conference, Berlin, Germany, 15.07.2017-19.07.2017. New York: Association for Computing Machinery, Inc, pp. 1513-1520. https://doi.org/10.1145/3067695.3082517

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Genetic Improvement of Runtime and its Fitness Landscape in a Bioinformatics Application

Haraldsson S, Woodward J, Brownlee A, Smith AV & Gudnason V (2017) Genetic Improvement of Runtime and its Fitness Landscape in a Bioinformatics Application. In: 2017 Genetic and Evolutionary Computation Conference Companion, GECCO 2017. GECCO 2017: The Genetic and Evolutionary Computation Conference, Berlin, Germany, 15.07.2017-19.07.2017. New York: Association for Computing Machinery, Inc, pp. 1521-1528. https://doi.org/10.1145/3067695.3082526

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Article

An estimation of distribution algorithm for public transport driver scheduling

Shen Y, Li J & Peng K (2017) An estimation of distribution algorithm for public transport driver scheduling. International Journal of Operational Research, 28 (2), pp. 245-262. https://doi.org/10.1504/IJOR.2017.081483

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Sparse interpolation, the FFT algorithm and FIR filters

Briani M, Cuyt A & Lee W (2017) Sparse interpolation, the FFT algorithm and FIR filters. In: Gerdt V, Koepf W, Seiler W & Vorozhtsov E (eds.) Computer Algebra in Scientific Computing - 19th International Workshop, CASC 2017, Beijing, China, September 18-22, 2017, Proceedings. Lecture Notes in Computer Science (LNCS), 10490. 19th International Workshop on Computer Algebra in Scientific Computing, Beijing, China, 18.09.2017-22.09.2017. Cham, Switzerland: Springer International Publishing, pp. 27-39. https://doi.org/10.1007/978-3-319-66320-3

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Validated exponential analysis for harmonic sounds

Briani M, Cuyt A & Lee W (2017) Validated exponential analysis for harmonic sounds. In: Torin A, Hamilton B, Bilbao S & Newton M (eds.) Proceedings of the 20th International Conference on Digital Audio Effects (DAFx-17). DAFx proceedings series. 20th International Conference on Digital Audio Effects, Edinburgh, UK, 05.09.2017-09.09.2017. Hamburg, Germany: University of Edinburgh, pp. 222-227. http://www.dafx17.eca.ed.ac.uk/Proceedings.html

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Towards Generic Scalable Parallel Combinatorial Search

Archibald B, Maier P, Stewart R, Trinder P & De Beule J (2017) Towards Generic Scalable Parallel Combinatorial Search. In: PASCO 2017 Proceedings of the International Workshop on Parallel Symbolic Computation. International Workshop on Parallel Symbolic Computation, Kaiserslautern, Germany, 23.07.2017-24.07.2017. New York: ACM, p. 6. https://doi.org/10.1145/3115936.3115942

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Article

Modelling Wolbachia Infection in a Sex-Structured Mosquito Population Carrying West Nile Virus

Farkas JZ, Gourley S, Liu R & Yakubu A (2017) Modelling Wolbachia Infection in a Sex-Structured Mosquito Population Carrying West Nile Virus. Journal of Mathematical Biology, 75 (3), pp. 621-647. https://doi.org/10.1007/s00285-017-1096-7

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Article

Improved Binary Similarity Measures for Software Modularization

Naseem R, Deris MBM, Maqbool O, Li J, Shahzad S & Shah H (2017) Improved Binary Similarity Measures for Software Modularization. Frontiers of Information Technology and Electronic Engineering, 18 (8), pp. 1082-1107. https://doi.org/10.1631/FITEE.1500373

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Article

Search-based energy optimization of some ubiquitous algorithms

Brownlee A, Burles N & Swan J (2017) Search-based energy optimization of some ubiquitous algorithms. IEEE Transactions on Emerging Topics in Computational Intelligence, 1 (3), pp. 188-201. https://doi.org/10.1109/TETCI.2017.2699193

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Article

Mathematical Analysis of a Clonal Evolution Model of Tumour Cell Proliferation

Farkas JZ & Webb GF (2017) Mathematical Analysis of a Clonal Evolution Model of Tumour Cell Proliferation. Journal of Evolution Equations, 17 (1), pp. 275-308. https://doi.org/10.1007/s00028-016-0369-8

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Exploring Fitness and Edit Distance of Mutated Python Programs

Haraldsson S, Woodward J, Brownlee A & Cairns D (2017) Exploring Fitness and Edit Distance of Mutated Python Programs. In: McDermott J, Castelli M, Sekanina L, Haasdijk E & García-Sánchez P (eds.) Genetic Programming: 20th European Conference, EuroGP 2017, Amsterdam, The Netherlands, April 19-21, 2017, Proceedings. Lecture Notes in Computer Science, 10196. EuroGP 2017: Genetic Programming, Amsterdam, The Netherlands, 19.04.2017-21.04.2017. Cham: Springer International Publishing, pp. 19-34. https://doi.org/10.1007/978-3-319-55696-3_2

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Genetic optimization of fuzzy membership functions for cloud resource provisioning

Ullah A, Li J, Hussain A & Shen Y (2017) Genetic optimization of fuzzy membership functions for cloud resource provisioning. In: 2016 IEEE Symposium Series on Computational Intelligence (SSCI). 2016 IEEE Symposium Series on Computational Intelligence (SSCI), Athens, Greece, 06.12.2016-09.12.2016. Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/SSCI.2016.7850088

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Other

Hyper-parameter tuning to improve existing software

Brownlee A (2017) Hyper-parameter tuning to improve existing software. [Video] 31.01.2017. http://crest.cs.ucl.ac.uk/cow/50/videos/brownlee_cow50_720p.mp4

Article

Hilbert exclusion: Improved metric search through finite isometric embeddings

Connor R, Cardillo FA, Vadicamo L & Rabitti F (2016) Hilbert exclusion: Improved metric search through finite isometric embeddings. ACM Transactions on Information Systems, 35 (3), Art. No.: 17. https://doi.org/10.1145/3001583

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Connecting automatic parameter tuning, genetic programming as a hyper-heuristic and genetic improvement programming

Woodward J, Johnson C & Brownlee A (2016) Connecting automatic parameter tuning, genetic programming as a hyper-heuristic and genetic improvement programming. In: Friedrich T (ed.) GECCO '16 Companion Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion. GECCO 2016: Genetic and Evolutionary Computation Conference, Denver, CO, USA, 20.07.2016-24.07.2016. New York: ACM, pp. 1357-1358. https://doi.org/10.1145/2908961.2931728

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Evals is not enough: why we should report wall-clock time

Woodward J, Brownlee A & Johnson C (2016) Evals is not enough: why we should report wall-clock time. In: Friedrich T (ed.) GECCO '16 Companion Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion. GECCO 2016: Genetic and Evolutionary Computation Conference, Denver, CO, USA, 20.07.2016-24.07.2016. New York: ACM, pp. 1157-1158. https://doi.org/10.1145/2908961.2931695

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GP vs GI: if you can't beat them, join them

Woodward J, Johnson C & Brownlee A (2016) GP vs GI: if you can't beat them, join them. In: Friedrich T (ed.) GECCO '16 Companion Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion. Genetic and Evolutionary Computation Conference, GECCO-2016, Denver, CO, USA, 20.07.2016-24.07.2016. New York: ACM, pp. 1155-1156. https://doi.org/10.1145/2908961.2931694

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Variable Neighbourhood Search: A Case Study for a Highly-Constrained Workforce Scheduling Problem

Reid KN, Li J, Swan J, McCormick A & Owusu G (2016) Variable Neighbourhood Search: A Case Study for a Highly-Constrained Workforce Scheduling Problem. In: 2016 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE SSCI 2016: IEEE Symposium Series on Computational Intelligence, Athens, Greece, 06.12.2016-09.12.2016. Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/SSCI.2016.7850087

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Mining Markov Network Surrogates for Value-Added Optimisation

Brownlee A (2016) Mining Markov Network Surrogates for Value-Added Optimisation. In: Friedrich T (ed.) GECCO '16 Companion Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion. Genetic and Evolutionary Computation Conference GECCO’16, Denver, CO, USA, 20.07.2016-24.07.2016. New York: ACM, pp. 1267-1274. https://doi.org/10.1145/2908961.2931711

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Article

Structured populations with distributed recruitment: from PDE to delay formulation

Calsina A, Diekmann O & Farkas JZ (2016) Structured populations with distributed recruitment: from PDE to delay formulation. Mathematical Methods in the Applied Sciences, 39 (18), pp. 5175-5191. http://onlinelibrary.wiley.com/doi/10.1002/mma.3898/abstract; https://doi.org/10.1002/mma.3898

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A novel fully automated liver and HCC tumor segmentation system using morphological operations

Ali L, Hussain A, Li J, Howard N, Shah AA, Sudhakar U, Shah MA & Hussain ZU (2016) A novel fully automated liver and HCC tumor segmentation system using morphological operations. In: Liu C, Hussain A, Luo B, Tan K, Zeng Y & Zhang Z (eds.) Advances in Brain Inspired Cognitive Systems. BICS 2016. Lecture Notes in Computer Science, 10023. BICS 2016: 8th International Conference on Brain-Inspired Cognitive Systems, Beijing, China, 28.11.2016-30.11.2016. Cham, Switzerland: Springer, pp. 240-250. https://doi.org/10.1007/978-3-319-49685-6_22

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A short-time Prony method for the detection of transients

Cuyt A, Lee W & Tsai M (2016) A short-time Prony method for the detection of transients. In: Papadrakakis M, Papadopoulos V, Stefanou G & Plevris V (eds.) ECCOMAS Congress 2016 - VII European Congress on Computational Methods in Applied Sciences and Engineering Proceedings. VII European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2016), Crete Island, Greece, 05.06.2016-10.06.2016. Athens, Greece: Institute of Structural Analysis and Antiseismic Research, National Technical University of Athens, pp. 4313-4321. https://www.eccomas2016.org/proceedings/pdf/7676.pdf

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Sparse interpolation and rational approximation

Cuyt A & Lee W (2016) Sparse interpolation and rational approximation. In: Hardin D, Lubinsky D & Simanek B (eds.) Modern Trends in Constructive Function Theory. Contemporary Mathematics, 661. Constructive Functions 2014 - Conference in Honor of Ed Saff's 70th Birthday, Nashville, TN, USA, 26.05.2014-30.05.2014. Providence, RI, USA: American Mathematical Society, pp. 229-242. https://bookstore.ams.org/conm-661

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