Article
Salimifard K, Li J, Mohammadi D & Moghdani R (2021) A multi objective volleyball premier league algorithm for green scheduling identical parallel machines with splitting jobs. Applied Intelligence, 51 (7), pp. 4143-4161. https://doi.org/10.1007/s10489-020-02027-1
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Goutcher R, Barrington C, Hibbard PB & Graham B (2021) Binocular vision supports the development of scene segmentation capabilities: Evidence from a deep learning model. Journal of Vision, 21 (7), Art. No.: 13. https://doi.org/10.1167/jov.21.7.13
Article
Zamboni P, Marcato Junior J, de Andrade Silva J, Miyoshi GT, Matsubara ET, Nogueira K & Gonçalves WN (2021) Benchmarking Anchor-Based and Anchor-Free State-of-the-Art Deep Learning Methods for Individual Tree Detection in RGB High-Resolution Images. Remote Sensing, 13 (13), Art. No.: 2482. https://doi.org/10.3390/rs13132482
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Real-like MAX-SAT instances and the landscape structure across the phase transition
Chicano F, Ochoa G & Tomassini M (2021) Real-like MAX-SAT instances and the landscape structure across the phase transition. In: Chicano F (ed.) GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference. 2021 Genetic and Evolutionary Computation Conference, GECCO 2021, Lille, France, 10.07.2021-14.07.2021. New York: Association for Computing Machinery, Inc, pp. 207-215. https://doi.org/10.1145/3449639.3459288
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Local search pivoting rules and the landscape global structure
Tari S & Ochoa G (2021) Local search pivoting rules and the landscape global structure. In: Chicano F (ed.) GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference. 2021 Genetic and Evolutionary Computation Conference, GECCO 2021, Lille, France, 10.07.2021-14.07.2021. New York: Association for Computing Machinery, Inc, pp. 278-286. https://doi.org/10.1145/3449639.3459295
Article
Duthie AB, Minderman J, Rakotonarivo OS, Ochoa G & Bunnefeld N (2021) Online multiplayer games as virtual laboratories for collecting data on social-ecological decision making. Conservation Biology, 35 (3), pp. 1051-1053. https://doi.org/10.1111/cobi.13633
Article
Bailey J, Marino A & Akbari V (2021) Comparison of Target Detectors to Identify Icebergs in Quad-Polarimetric L-Band Synthetic Aperture Radar Data. Remote Sensing, 13 (9), Art. No.: 1753. https://doi.org/10.3390/rs13091753
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A NEAT Visualisation of Neuroevolution Trajectories
Sarti S & Ochoa G (2021) A NEAT Visualisation of Neuroevolution Trajectories. In: Castillo PA & Jiménez Laredo JL (eds.) Applications of Evolutionary Computation. Lecture Notes in Computer Science, 12694. 24th International Conference, EvoApplications 2021, Seville, Spain, 07.04.2021-09.04.2021. Cham, Switzerland: Springer, pp. 714-728. https://doi.org/10.1007/978-3-030-72699-7_45
Article
A Comparative Analysis of Two Matheuristics by Means of Merged Local Optima Networks
Blum C & Ochoa G (2021) A Comparative Analysis of Two Matheuristics by Means of Merged Local Optima Networks. European Journal of Operational Research, 290 (1), pp. 36-56. https://doi.org/10.1016/j.ejor.2020.08.008
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
Effect of multiple episodes of acute kidney injury on mortality: an observational study
Walker H, De Souza N, Hapca S, Witham MD & Bell S (2021) Effect of multiple episodes of acute kidney injury on mortality: an observational study. Clinical Kidney Journal, 14 (2), pp. 696-703. https://doi.org/10.1093/ckj/sfz199
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Decentralization in open quorum systems: Limitative results for ripple and stellar
Bracciali A, Grossi D & de Haan R (2021) Decentralization in open quorum systems: Limitative results for ripple and stellar. In: Anceaume E, Bisiere C, Bouvard M, Bramas Q & Casamatta C (eds.) 2nd International Conference on Blockchain Economics, Security and Protocols, Tokenomics 2020, volume 82. Open Access Series in Informatics (OASIcs), 82. 2nd International Conference on Blockchain Economics, Security and Protocols (Tokenomics 2020), Toulouse, France, 26.10.2020-27.10.2020. Dagstuhl, Germany: Schloss Dagstuhl- Leibniz-Zentrum fur Informatik, pp. 5:1-5:20. https://doi.org/10.4230/OASIcs.Tokenomics.2020.5
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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
The Relationship between AKI and CKD in Patients with Type 2 Diabetes: An Observational Cohort Study
Hapca S, Siddiqui MK, Kwan RSY, Lim M, Matthew S, Doney ASF, Pearson ER, Palmer CNA & Bell S (2021) The Relationship between AKI and CKD in Patients with Type 2 Diabetes: An Observational Cohort Study. Journal of the American Society of Nephrology, 32 (1), pp. 138-150. https://doi.org/10.1681/asn.2020030323
Review
Monitoring the spread of water hyacinth (Pontederia crassipes): challenges and future developments
Datta A, Maharaj S, Prabhu GN, Bhowmik D, Marino A, Akbari V, Rupavatharam S, Sujeetha JAR, Anantrao GG, Poduvattil VK, Kumar S & Kleczkowski A (2021) Monitoring the spread of water hyacinth (Pontederia crassipes): challenges and future developments. Frontiers in Ecology and Evolution, 9, Art. No.: 631338. https://doi.org/10.3389/fevo.2021.631338
Editorial
Schifanella C & Bracciali A (2021) Special Issue of Concurrency and Computation: Practice and experience "FPDAPP, Future Perspectives on Decentralized Applications". Concurrency and Computation: Practice and Experience, 33 (1), Art. No.: e6107. https://doi.org/10.1002/cpe.6107
Conference Paper (published)
Coding and Decoding Speech using a Biologically Inspired Coding System
Pahar M & Smith LS (2020) Coding and Decoding Speech using a Biologically Inspired Coding System. In: 2020 IEEE Symposium Series on Computational Intelligence (SSCI). 2020 IEEE Symposium Series on Computational Intelligence, Canberra, Australia, 01.12.2020-04.12.2020. Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/ssci47803.2020.9308328
Article
Visual Speech Recognition with Lightweight Psychologically Motivated Gabor Features
Zhang X, Xu Y, Abel AK, Smith LS, Watt R, Hussain A & Gao C (2020) Visual Speech Recognition with Lightweight Psychologically Motivated Gabor Features. Entropy, 22 (12), Art. No.: 1367. https://doi.org/10.3390/e22121367
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Synthetic vs. Real-World Continuous Landscapes: A Local Optima Networks View
Contreras-Cruz MA, Ochoa G & Ramirez-Paredes JP (2020) Synthetic vs. Real-World Continuous Landscapes: A Local Optima Networks View. In: Filipič B, Minisci E & Vasile M (eds.) Bioinspired Optimization Methods and Their Applications. Lecture Notes in Computer Science, 12438. 9th International Conference, BIOMA 2020, Brussels, Belgium, 19.11.2020-20.11.2020. Cham, Switzerland: Springer International Publishing, pp. 3-16. https://doi.org/10.1007/978-3-030-63710-1_1
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The Variational InfoMax AutoEncoder
Crescimanna V & Graham B (2020) The Variational InfoMax AutoEncoder. In: 2020 International Joint Conference on Neural Networks. IEEE International Joint Conference on Neural Networks (IJCNN) IJCNN 2020 - International Joint Conference on Neural Networks, Glasgow, UK, 19.07.2020-24.07.2020. Piscataway, NJ: IEEE. https://doi.org/10.1109/IJCNN48605.2020.9207048
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Thompson T & Graham B (2020) More-than-human approach to researching AI at work: Alternative narratives for AI and networked learning. In: De Laat M, Ryberg T, Bonderup Dohn N, Hansen SB & Hansen JJ (eds.) NETWORKED LEARNING 2020: Proceedings for the 12th International Conference on Networked Learning. Networked Learning Conference Proceedings, 12. Twelfth International Conference on Networked Learning 2020, Online, 18.05.2020-20.05.2020. Kolding, Denmark: Aalborg University, pp. 293-300.
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Learning Spatial Relations with a Standard Convolutional Neural Network
Swingler K & Bath M (2020) Learning Spatial Relations with a Standard Convolutional Neural Network. In: Merelo JJ, Garibaldi J, Wagner C, Bäck T, Madani K & Warwick K (eds.) Proceedings of the 12th International Joint Conference on Computational Intelligence - Volume 1: NCTA. 12th International Conference on Neural Computation Theory and Applications, Budapest, Hungary, 02.11.2020-04.11.2020. Setubal, Portugal: SCITEPRESS - Science and Technology Publications, pp. 464-470. https://doi.org/10.5220/0010170204640470
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Global Landscape Structure and the Random MAX-SAT Phase Transition
Ochoa G, Chicano F & Tomassini M (2020) Global Landscape Structure and the Random MAX-SAT Phase Transition. In: Bäck T, Preuss M, Deutz A, Wang H, Doerr C, Emmerich M & Trautmann H (eds.) Parallel Problem Solving from Nature. Lecture Notes in Computer Science. PPSN 2020: Conference on Parallel Problem Solving from Nature, Leiden, The Netherlands, 05.09.2020-09.09.2020. Cham, Switzerland: Springer International Publishing, pp. 125-138. https://doi.org/10.1007/978-3-030-58115-2_9
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Towards Open-Set Semantic Segmentation of Aerial Images
da Silva CCV, Nogueira K, Oliveira HN & dos Santos JA (2020) Towards Open-Set Semantic Segmentation of Aerial Images. In: 2020 IEEE Latin American GRSS and ISPRS Remote Sensing Conference, LAGIRS 2020. IEEE Latin American GRSS & ISPRS Remote Sensing Conference (LAGIRS 2020), Santiago, Chile, 21.03.2020-26.03.2020. Piscataway, NJ, USA: Institute of Electrical and Electronics Engineers Inc. pp. 16-21. https://doi.org/10.1109/LAGIRS48042.2020.9165597
Article
Adversarial behaviours in mixing coins under incomplete information
Wang Y, Bracciali A, Yang G, Li T & Yu X (2020) Adversarial behaviours in mixing coins under incomplete information. Applied Soft Computing, 96, Art. No.: 106605. https://doi.org/10.1016/j.asoc.2020.106605
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Genetic improvement: Taking real-world source code and improving it using genetic programming
Haraldsson SO, Woodward JR & Wagner M (2020) Genetic improvement: Taking real-world source code and improving it using genetic programming. In: 2020 Genetic and Evolutionary Computation Conference, GECCO 2020. 2020 Genetic and Evolutionary Computation Conference, Cancun, Mexico, 08.07.2020-12.07.2020. New York: ACM, pp. 801-831. https://doi.org/10.1145/3377929.3389885
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Optimising Antibiotic Treatments with Multi-objective Population-based Algorithms
Goranova M, Contreras-Cruz MA, Hoyle A & Ochoa G (2020) Optimising Antibiotic Treatments with Multi-objective Population-based Algorithms. In: CEC 2020: Congress on Evolutionary Computation. 2020 IEEE Congress on Evolutionary Computation (CEC), Glasgow, United Kingdom, 19.07.2020-24.07.2020. Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/cec48606.2020.9185489
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An investigation of citizen's e-participation within Oman's police department Facebook page
Dalwai T, James M, Webster W, Alshukaili AM & Soosaimanickam A (2020) An investigation of citizen's e-participation within Oman's police department Facebook page. In: Santos H, Viale Pereira G, Budde M, Lopes SF & Nikolic P (eds.) Science and Technologies for Smart Cities. SmartCity 360 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 323. International Summit Smart City 360, Braga, Portugal, 04.12.2019-06.12.2019. Cham, Switzerland: Springer, pp. 236-248. https://doi.org/10.1007/978-3-030-51005-3_21
Article
Optimising efficacy of antibiotics against systemic infection by varying dosage quantities and times
Hoyle A, Cairns D, Paterson I, McMillan S, Ochoa G & Desbois AP (2020) Optimising efficacy of antibiotics against systemic infection by varying dosage quantities and times. PLoS Computational Biology, 16 (8), Art. No.: e1008037. https://doi.org/10.1371/journal.pcbi.1008037
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
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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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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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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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A Methodology for Classifying Search Operators as Intensification or Diversification Heuristics
Soria-Alcaraz JA, Ochoa G, Espinal A, Sotelo-Figueroa MA, Ornelas-Rodriguez M & Rostro-Gonzalez H (2020) A Methodology for Classifying Search Operators as Intensification or Diversification Heuristics. Complexity, 2020 p. 10, Art. No.: 2871835. https://doi.org/10.1155/2020/2871835
Article
Inferring Future Landscapes: Sampling the Local Optima Level
Thomson SL, Ochoa G, Verel S & Veerapen N (2020) Inferring Future Landscapes: Sampling the Local Optima Level. Evolutionary Computation, 28 (4), pp. 621-641. https://doi.org/10.1162/evco_a_00271
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The Local Optima Level in Chemotherapy Schedule Optimisation
Thomson SL & Ochoa G (2020) The Local Optima Level in Chemotherapy Schedule Optimisation. In: Zarges C & Paquete L (eds.) Evolutionary Computation in Combinatorial Optimization. EvoCOP 2020. Lecture Notes in Computer Science, 12102. EvoCOP 2020: European Conference on Evolutionary Computation in Combinatorial Optimization, Seville, Spain, 15.04.2020-17.04.2020. Cham, Switzerland: Springer, pp. 197-213. https://doi.org/10.1007/978-3-030-43680-3_13
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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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Search Trajectory Networks of Population-based Algorithms in Continuous Spaces
Ochoa G, Malan KM & Blum C (2020) Search Trajectory Networks of Population-based Algorithms in Continuous Spaces. In: Castillo PA, Jiménez Laredo JL & Fernández de Vega F (eds.) Applications of Evolutionary Computation. EvoApplications 2020. Lecture Notes in Computer Science, 12104. Applications of Evolutionary Computation – 23rd International Conference, EvoApplications 2020, Seville, Spain, 15.04.2020-17.04.2020. Cham, Switzerland: Springer, pp. 70-85. https://doi.org/10.1007/978-3-030-43722-0_5
Article
Predicting book sales trend using deep learning framework
Feng TQ, Choy M & Laik MN (2020) Predicting book sales trend using deep learning framework. International Journal of Advanced Computer Science and Applications, 11 (2), pp. 28-39. https://doi.org/10.14569/IJACSA.2020.0110205
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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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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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Fitness Landscape Analysis of Automated Machine Learning Search Spaces
Pimenta CG, de Sá AGC, Ochoa G & Pappa GL (2020) Fitness Landscape Analysis of Automated Machine Learning Search Spaces. In: Paquete L & Zarges C (eds.) Evolutionary Computation in Combinatorial Optimization. EvoCOP 2020. Lecture Notes in Computer Science, 12102. EvoCOP 2020: Evolutionary Computation in Combinatorial Optimization, Seville, Spain, 15.04.2020-17.04.2020. Cham, Switzerland: Springer International Publishing, pp. 114-130. https://doi.org/10.1007/978-3-030-43680-3_8
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
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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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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Exploring Personalised Autonomous Vehicles to Influence User Trust
Sun X, Li J, Tang P, Zhou S, Peng X, Li HN & Wang Q (2020) Exploring Personalised Autonomous Vehicles to Influence User Trust. Cognitive Computation, 12 (6), pp. 1170-1186. https://doi.org/10.1007/s12559-020-09757-x
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Zoocentrism in the weeds? Cultivating plant models for cognitive yield
Linson A & Calvo P (2020) Zoocentrism in the weeds? Cultivating plant models for cognitive yield. Biology and Philosophy, 35 (5), Art. No.: 49. https://doi.org/10.1007/s10539-020-09766-y
Letter
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
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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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
Article
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
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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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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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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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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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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, Goulão 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.
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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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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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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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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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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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Multi-objective Evolutionary Design of Antibiotic Treatments
Ochoa G, Christie LA, Brownlee AE & Hoyle A (2020) Multi-objective Evolutionary Design of Antibiotic Treatments. Artificial Intelligence in Medicine, 102, Art. No.: 101759. https://doi.org/10.1016/j.artmed.2019.101759
Article
Embedding distortion analysis in wavelet-domain watermarking
Bhowmik D & Abhayaratne C (2020) Embedding distortion analysis in wavelet-domain watermarking. ACM Transactions on Multimedia Computing, Communications and Applications, 15 (4), Art. No.: 108. https://doi.org/10.1145/3357333
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)
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
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
Conference Paper (published)
Insights into the feature selection problem using local optima networks
Mostert W, Malan KM, Ochoa G & Engelbrecht AP (2019) Insights into the feature selection problem using local optima networks. In: Liefooghe A & Paquete L (eds.) Evolutionary Computation in Combinatorial Optimization. Lecture Notes in Computer Science, 11452. 19th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2019, held as part of EvoStar 2019, Leipzig, Germany, 24.04.2019-26.04.2019. Cham, Switzerland: Springer Verlag, pp. 147-162. https://doi.org/10.1007/978-3-030-16711-0_10
Technical Report
Crowd Sourcing The Sounds Of Places With A Web Based Genetic Algorithm Techreport
Brownlee A, Kim S, Wang S, Chan S & Lawson JA (2019) Crowd Sourcing The Sounds Of Places With A Web Based Genetic Algorithm Techreport. University of Stirling. Stirling: University of Stirling.
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)
Rigorous Performance Analysis of State-of-the-Art TSP Heuristic Solvers
McMenemy P, Veerapen N, Adair J & Ochoa G (2019) Rigorous Performance Analysis of State-of-the-Art TSP Heuristic Solvers. In: Liefooghe A & Paquete L (eds.) Evolutionary Computation in Combinatorial Optimization. Lecture Notes in Computer Science, 11452. EVOCOP 2019: European Conference on Evolutionary Computation in Combinatorial Optimization, Leipzig, Germany, 24.04.2019-26.04.2019. Cham, Switzerland: Springer International Publishing, pp. 99-114. https://doi.org/10.1007/978-3-030-16711-0_7
Conference Paper (published)
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)
Sentiment Aware Fake News Detection on Online Social Networks
Ajao O, Bhowmik D & Zargari S (2019) Sentiment Aware Fake News Detection on Online Social Networks. In: ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE International Conference on Acoustics, Speech, and Signal Processing Proceedings. 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brighton, UK, 12.05.2019-17.05.2019. Piscataway, NJ, USA: IEEE, pp. 2507-2511. https://doi.org/10.1109/ICASSP.2019.8683170
Conference Paper (published)
Why High-Performance Modelling and Simulation for Big Data Applications Matters
Grelck C, Niewiadomska-Szynkiewicz E, Aldinucci M, Bracciali A & Larsson E (2019) Why High-Performance Modelling and Simulation for Big Data Applications Matters. In: Kołodziej J & González-Vélez H (eds.) High-Performance Modelling and Simulation for Big Data Applications. Lecture Notes in Computer Science, 11400. ICT COST Action IC1406 High-Performance Modelling and Simulation for Big Data Applications (cHiPSet), Vilnius, Lithuania, 28.03.2019-29.03.2019. Cham, Switzerland: Springer, pp. 1-35. https://doi.org/10.1007/978-3-030-16272-6_1
Conference Paper (published)
Zamuda A, Crescimanna V, Burguillo JC, Matos Dias J, Wegrzyn-Wolska K, Rached I, González-Vélez H, Senkerik R, Pop C, Cioara T, Salomie I & Bracciali A (2019) Forecasting Cryptocurrency Value by Sentiment Analysis: An HPC-Oriented Survey of the State-of-the-Art in the Cloud Era. In: Kołodziej J & González-Vélez H (eds.) High-Performance Modelling and Simulation for Big Data Applications. Lecture Notes in Computer Science, 11400. ICT COST Action IC1406 High-Performance Modelling and Simulation for Big Data Applications (cHiPSet), Vilnius, Lithuania, 28.03.2019-29.03.2019. Cham, Switzerland: Springer, pp. 325-349. https://doi.org/10.1007/978-3-030-16272-6_12
Conference Paper (published)
Quasi-Optimal Recombination Operator
Chicano F, Ochoa G, Whitley D & Tinós R (2019) Quasi-Optimal Recombination Operator. In: Liefooghe A & Paquete L (eds.) Evolutionary Computation in Combinatorial Optimization. Lecture Notes in Computer Science, 11452. EvoCOP 2019: European Conference on Evolutionary Computation in Combinatorial Optimization, Leipzig, Germany, 24.04.2019-26.04.2019. Cham, Switzerland: Springer International Publishing, pp. 131-146. https://doi.org/10.1007/978-3-030-16711-0_9
Edited Book
Zohar A, Eyal I, Teague V, Clark J, Bracciali A, Pintore F & Sala M (eds.) (2019) Financial Cryptography and Data Security: FC 2018 International Workshops, BITCOIN, VOTING, and WTSC, Nieuwpoort, Curaçao, March 2, 2018, Revised Selected Papers. Berlin Heidelberg: Springer. https://doi.org/10.1007/978-3-662-58820-8
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Data Analytics in Text Messages: A Mobile Network Operator Case Study
Babaee M & Sarabadani H (2019) Data Analytics in Text Messages: A Mobile Network Operator Case Study. In: 9th International Symposium on Telecommunication, IST 2018. 2018 9th International Symposium on Telecommunications (IST), Tehran, Iran, 17.12.2018-19.12.2018. Piscataway, NJ: Institute of Electrical and Electronics Engineers Inc. pp. 330-336. https://doi.org/10.1109/ISTEL.2018.8660969
Conference Paper (published)
Towards Arabic multi-modal sentiment analysis
Alqarafi AS, Adeel A, Gogate M, Dashtipour K, Hussain A & Durrani T (2019) Towards Arabic multi-modal sentiment analysis. In: Liang Q, Mu J, Jia M, Wang W, Feng X & Zhang B (eds.) Communications, Signal Processing, and Systems. CSPS 2017. Lecture Notes in Electrical Engineering, 463. CSPS 2017: Communications, Signal Processing, and Systems, 14.07.2017-16.07.2017. Harbin, China: Springer, pp. 2378-2386. https://doi.org/10.1007/978-981-10-6571-2_290
Conference Paper (published)
A comparative study of Persian sentiment analysis based on different feature combinations
Dashtipour K, Gogate M, Adeel A, Hussain A, Alqarafi A & Durrani T (2019) A comparative study of Persian sentiment analysis based on different feature combinations. In: Liang Q, Mu J, Jia M, Wang W, Feng X & Zhang B (eds.) Communications, Signal Processing, and Systems. CSPS 2017. Lecture Notes in Electrical Engineering, 463. CSPS 2017: Communications, Signal Processing, and System, Harbin, China, 14.07.2017-16.07.2017. Cham, Switzerland: Springer, pp. 2288-2294. https://doi.org/10.1007/978-981-10-6571-2_279
Article
Gao F, Huang T, Sun J, Wang J, Hussain A & Yang E (2019) A New Algorithm for SAR Image Target Recognition Based on an Improved Deep Convolutional Neural Network. Cognitive Computation, 11 (6), pp. 809-824. https://doi.org/10.1007/s12559-018-9563-z
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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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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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
Article
Reframing PTSD for computational psychiatry with the active inference framework
Linson A & Friston K (2019) Reframing PTSD for computational psychiatry with the active inference framework. Cognitive Neuropsychiatry, 24 (5), pp. 347-386. https://doi.org/10.1080/13546805.2019.1665994
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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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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
Conference Paper (published)
SPLX-Perm: A Novel Permutation-Based Representation for Approximate Metric Search
Vadicamo L, Connor R, Falchi F, Gennaro C & Rabitti F (2019) SPLX-Perm: A Novel Permutation-Based Representation for Approximate Metric Search. In: SISAP 2019: Similarity Search and Applications. Lecture Notes in Computer Science, 11807. SISAP2019: International Conference on Similarity Search and Applications, Newark, NJ, USA, 02.10.2019-04.10.2019. Cham, Switzerland: Springer, pp. 40-48. https://doi.org/10.1007/978-3-030-32047-8_4
Article
Hapca S, Burton JK, Cvoro V, Reynish E & Donnan PT (2019) Are antidementia drugs associated with reduced mortality after a hospital emergency admission in the population with dementia aged 65 years and older?. Alzheimer's and Dementia: Translational Research and Clinical Interventions, 5, pp. 431-440. https://doi.org/10.1016/j.trci.2019.07.011
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-Ibáñez M (ed.) GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO '19 - Genetic and Evolutionary Computation Conference, Prague, Czech Republic, 13.07.2019-17.07.2019. New York: Association for Computing Machinery, pp. 1407-1414. https://doi.org/10.1145/3319619.3326852
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Local Optima Network Analysis for MAX-SAT
Ochoa G & Chicano F (2019) Local Optima Network Analysis for MAX-SAT. In: López-Ibáñez M (ed.) GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO '19 - Genetic and Evolutionary Computation Conference, Prague, Czech Republic, 13.07.2019-17.07.2019. New York: Association for Computing Machinery, pp. 1430-1437. https://doi.org/10.1145/3319619.3326855