Showing 1 to 100 of 196
Article
Clifford Algebra in R: Introducing the Clifford Package
Hankin RKS (2025) Clifford Algebra in R: Introducing the Clifford Package. Hankin R (Other) Advances in Applied Clifford Algebras, 35 (5), p. 18. https://doi.org/10.1007/s00006-025-01403-9
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
Edited Proceedings
ISSAC '24: Proceedings of the 2024 International Symposium on Symbolic and Algebraic Computation
(2024) ISSAC '24: Proceedings of the 2024 International Symposium on Symbolic and Algebraic Computation. In: Hauenstein J, Lee W & Chen S (eds.) 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/doi/proceedings/10.1145/3666000
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
Article
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.
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
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
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
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
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
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
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
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
Conference Paper (published)
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
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
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
Article
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
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
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
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
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
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
Conference Paper (published)
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
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
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
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
Article
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
Article
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
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
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
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
Book Chapter
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
Article
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
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
Article
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
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
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
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
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
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
Article
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
Article
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
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
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
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
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)
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
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)
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)
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
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)
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
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
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)
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
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
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
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
Article
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
Conference Paper (published)
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
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
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
Conference Paper (published)
Investigating Benchmark Correlations when Comparing Algorithms with Parameter Tuning
Christie LA, Brownlee A & Woodward JR (2018) Investigating Benchmark Correlations when Comparing Algorithms with Parameter Tuning. In: Proceedings of the Genetic and Evolutionary Computation Conference Companion. Genetic and Evolutionary Computation Conference 2018, 15.07.2018-19.07.2018. New York: ACM, pp. 209-210. https://doi.org/10.1145/3205651.3205747
Conference Paper (published)
Relating Training Instances to Automatic Design of Algorithms for Bin Packing via Features
Brownlee A, Woodward JR & Veerapen N (2018) Relating Training Instances to Automatic Design of Algorithms for Bin Packing via Features. In: Proceedings of GECCO 2018. Genetic and Evolutionary Computation Conference 2018, 15.07.2018-19.07.2018. New York: ACM, pp. 135-136. https://doi.org/10.1145/3205651.3205748
Conference Paper (published)
A Rolling Window with Genetic Algorithm Approach to Sorting Aircraft for Automated Taxi Routing
Brownlee A, Woodward JR, Weiszer M & Chen J (2018) A Rolling Window with Genetic Algorithm Approach to Sorting Aircraft for Automated Taxi Routing. In: Proceedings of the Genetic and Evolutionary Computation Conference 2018. GECCO 2018: The 2018 conference on Genetic and Evolutionary Computation, Kyoto, Japan, 15.07.2018-19.07.2018. New York: ACM, pp. 1207-1213. http://gecco-2018.sigevo.org/index.html/tiki-index.php?page=HomePage; https://doi.org/10.1145/3205455.3205558
Conference Paper (published)
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
Conference Paper (published)
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
Article
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
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
Article
A Fuzzy Approach to Addressing Uncertainty in Airport Ground Movement Optimisation
Brownlee A, Weiszer M, Chen J, Ravizza S, Woodward JR & Burke EK (2018) A Fuzzy Approach to Addressing Uncertainty in Airport Ground Movement Optimisation. Transportation Research Part C: Emerging Technologies, 92, pp. 150-175. https://doi.org/10.1016/j.trc.2018.04.020
Article
Faint and clustered components in exponential analysis
Cuyt A, Tsai M, Verhoye M & Lee W (2018) Faint and clustered components in exponential analysis. Applied Mathematics and Computation, 327, pp. 93-103. https://doi.org/10.1016/j.amc.2017.11.007
Article
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
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
Technical Report
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.
Technical Report
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.
Article
Replicable parallel branch and bound search
Archibald B, Maier P, McCreesh C, Stewart R & Trinder P (2018) Replicable parallel branch and bound search. Journal of Parallel and Distributed Computing, 113, pp. 92-114. https://doi.org/10.1016/j.jpdc.2017.10.010
Conference Paper (published)
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
Conference Paper (published)
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
Conference Paper (published)
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
Conference Paper (published)
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
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
Conference Paper (published)
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
Conference Paper (published)
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
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
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
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
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
Conference Paper (published)
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
Conference Paper (published)
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
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
Conference Paper (published)
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
Conference Paper (published)
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
Conference Paper (published)
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
Conference Paper (published)
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
Conference Paper (published)
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
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
Conference Paper (published)
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
Article
On tensor decomposition, sparse interpolation and Padé approximation
Cuyt A, Lee W & Yang X (2016) On tensor decomposition, sparse interpolation and Padé approximation. Jaen Journal on Approximation, 8 (1), pp. 33-58. http://www.ujaen.es/revista/jja/pdf/pre/jja-0008-01-16-3.pdf