Article
AiRound and CV-BrCT: Novel Multiview Datasets for Scene Classification
Machado G, Ferreira E, Nogueira K, Oliveira H, Brito M, Gama PHT & Santos JAd (2021) AiRound and CV-BrCT: Novel Multiview Datasets for Scene Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, pp. 488-503. https://doi.org/10.1109/JSTARS.2020.3033424
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Video Watermarking for Persistent and Robust Tracking of Entertainment Content (PARTEC)
Bhowmik D, Abhayaratne C & Green S (2021) Video Watermarking for Persistent and Robust Tracking of Entertainment Content (PARTEC). In: Mandal JK, Mukherjee I, Bakshi S, Chatterji S & Sa PK (eds.) Computational Intelligence and Machine Learning. Advances in Intelligent Systems and Computing, 1276. 7th International Conference on Advanced Computing, Networking, and Informatics (ICACNI 2019), West Bengal, India. Singapore: Springer, pp. 185-198. https://doi.org/10.1007/978-981-15-8610-1_19
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Effective use of evolutionary computation to parameterise an epidemiological model
Mitchell R, Cairns D, Hamami D, Pollock K & Shankland C (2021) Effective use of evolutionary computation to parameterise an epidemiological model. In: Cazzaniga P, Besozzi D, Merelli I & Manzoni L (eds.) Computational Intelligence Methods for Bioinformatics and Biostatistics. Lecture Notes in Computer Science, 12313. CIBB 2019: 16th International Conference on Computational Intelligence methods for Bioinformatics and Biostatistics, Bergamo, Italy, 04.09.2019-06.09.2019. Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-030-63061-4_3
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Assessing hydrological dynamics of Guyana's North Rupununi wetlands using Sentinel-1 SAR imagery change detection analysis on Google Earth Engine
Ruiz-Ramos J, Berardi A, Marino A, Bhowmik D & Simpson M (2021) Assessing hydrological dynamics of Guyana's North Rupununi wetlands using Sentinel-1 SAR imagery change detection analysis on Google Earth Engine. In: 2020 IEEE India Geoscience and Remote Sensing Symposium (InGARSS). IEEE International India Geoscience and Remote Sensing Symposium 2020 (InGARSS), Online, 02.12.2020-05.12.2020. Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/InGARSS48198.2020.9358961
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Monitoring water hyacinth in Kuttanad, India using Sentinel-1 SAR data
Simpson M, Marino A, Prabhu GN, Bhowmik D, Rupavatharam S, Datta A, Kleczkowski A, Sujeetha JARP & Maharaj S (2021) Monitoring water hyacinth in Kuttanad, India using Sentinel-1 SAR data. In: 2020 IEEE India Geoscience and Remote Sensing Symposium (InGARSS). IEEE International India Geoscience and Remote Sensing Symposium 2020 (InGARSS), Online, 02.12.2020-05.12.2020. Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/InGARSS48198.2020.9358977
Book Chapter
Advanced Kidney Disease Patient Portal: Implementation and Evaluation with Haemodialysis Patients
Meiklem R, Stevenson K, Richarz S, Kingsmore DB, Bouamrane M, Dunlop M & Thomson P (2021) Advanced Kidney Disease Patient Portal: Implementation and Evaluation with Haemodialysis Patients. In: Ardito C, Lanzilotti R, Malizia A, Petrie H, Piccinno A, Desolda G & Inkpen K (eds.) Human-Computer Interaction – INTERACT 2021. 1 ed. Lecture Notes in Computer Science. Cham, Switzerland: Springer International Publishing, pp. 175-196. https://doi.org/10.1007/978-3-030-85616-8_12
Article
Dynastic Potential Crossover Operator
Chicano F, Ochoa G, Whitley LD & Tinós R (2021) Dynastic Potential Crossover Operator. Evolutionary Computation. https://doi.org/10.1162/evco_a_00305
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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
Article
Remote diagnosis of surgical-site infection using a mobile digital intervention: a randomised controlled trial in emergency surgery patients
McLean KA, Mountain KE, Shaw CA, Drake TM, Pius R, Knight SR, Fairfield CJ, Sgrò A, Bouamrane M, Cambridge WA, Lyons M, Riad A, Skipworth RJE, Wigmore SJ, Potter MA & Harrison EM (2021) Remote diagnosis of surgical-site infection using a mobile digital intervention: a randomised controlled trial in emergency surgery patients. npj Digital Medicine, 4 (1). https://www.nature.com/articles/s41746-021-00526-0; https://doi.org/10.1038/s41746-021-00526-0
Commentary
Genetic Improvement @ ICSE 2021: Personal reflection of a Workshop Participant
Brownlee A (2021) Genetic Improvement @ ICSE 2021: Personal reflection of a Workshop Participant. ACM SIGSOFT Software Engineering Notes, 46 (4), pp. 28-30. https://doi.org/10.1145/3485952.3485960
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Improved Unequal-Clustering and Routing Protocol
Alharbi MA & Kolberg M (2021) Improved Unequal-Clustering and Routing Protocol. IEEE Sensors Journal, 21 (20), pp. 23711-23721. https://doi.org/10.1109/jsen.2021.3111698
Article
A Novel Context-Aware Multimodal Framework for Persian Sentiment Analysis
Dashtipour K, Gogate M, Cambria E & Hussain A (2021) A Novel Context-Aware Multimodal Framework for Persian Sentiment Analysis. Neurocomputing, 457, pp. 377-388. https://doi.org/10.1016/j.neucom.2021.02.020
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Search trajectory networks: A tool for analysing and visualising the behaviour of metaheuristics
Ochoa G, Malan KM & Blum C (2021) Search trajectory networks: A tool for analysing and visualising the behaviour of metaheuristics. Applied Soft Computing, 109, Art. No.: 107492. https://doi.org/10.1016/j.asoc.2021.107492
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Predicting range shifts of African apes under global change scenarios
Carvalho JS, Graham B, Bocksberger G, Maisels F, Williamson EA, Wich S, Sop T, Amarasekaran B, Barca B, Barrie A, Bergl RA, Boesch C, Boesch H, Brncic TM & Morgan BJ (2021) Predicting range shifts of African apes under global change scenarios. Diversity and Distributions, 27 (9), pp. 1663-1679. https://doi.org/10.1111/ddi.13358
Article
Noninvasive Low-cost Method to Identify Armadillos' Burrows: A Machine Learning Approach
Rodrigues TF, Nogueira K & Chiarello AG (2021) Noninvasive Low-cost Method to Identify Armadillos' Burrows: A Machine Learning Approach. Wildlife Society Bulletin, 45 (3), pp. 396-401. https://doi.org/10.1002/wsb.1222
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Semantic segmentation of tree-canopy in urban environment with pixel-wise deep learning
Martins JAC, Nogueira K, Osco LP, Gomes FDG, Furuya DEG, Gon?alves WN, Sant’ana DA, Ramos APM, Liesenberg V, dos Santos JA, de Oliveira PTS & Marcato Junior J (2021) Semantic segmentation of tree-canopy in urban environment with pixel-wise deep learning. Remote Sensing, 13 (16), Art. No.: 3054. https://doi.org/10.3390/rs13163054
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
Semantic segmentation of citrus-orchard using deep neural networks and multispectral UAV-based imagery
Osco LP, Nogueira K, Marques Ramos AP, Faita Pinheiro MM, Furuya DEG, Gon?alves WN, de Castro Jorge LA, Marcato Junior J & dos Santos JA (2021) Semantic segmentation of citrus-orchard using deep neural networks and multispectral UAV-based imagery. Precision Agriculture, 22 (4), pp. 1171-1188. https://doi.org/10.1007/s11119-020-09777-5
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A multi objective volleyball premier league algorithm for green scheduling identical parallel machines with splitting jobs
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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Binocular vision supports the development of scene segmentation capabilities: Evidence from a deep learning model
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
Benchmarking Anchor-Based and Anchor-Free State-of-the-Art Deep Learning Methods for Individual Tree Detection in RGB High-Resolution Images
Zamboni P, Marcato Junior J, de Andrade Silva J, Miyoshi GT, Matsubara ET, Nogueira K & Gon?alves 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
Conference Paper (published)
Partition crossover for continuous optimization: EPX
Tinós R, Whitley D, Chicano F & Ochoa G (2021) Partition crossover for continuous optimization: EPX. 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. 627-635. https://doi.org/10.1145/3449639.3459296
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Understanding parameter spaces using local optima networks: a case study on particle swarm optimization
Cleghorn CW & Ochoa G (2021) Understanding parameter spaces using local optima networks: a case study on particle swarm optimization. In: Chicano F (ed.) GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO '21: Genetic and Evolutionary Computation Conference, Lille, France, 10.07.2021-14.07.2021. New York: ACM, pp. 1657-1664. https://doi.org/10.1145/3449726.3463145
Article
Signed graphs with three eigenvalues: Biregularity and beyond
Rowlinson P & Stani? Z (2021) Signed graphs with three eigenvalues: Biregularity and beyond. Linear Algebra and its Applications, 621, pp. 272-295. https://doi.org/10.1016/j.laa.2021.03.018
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Adopting Transition Point Technique for Persian Sentiment Analysis
Dashtipour K, Gogate M, Gelbukh A & Hussain A (2021) Adopting Transition Point Technique for Persian Sentiment Analysis. In: TBC. ICOTEN 2021: International Congress of Advanced Technology and Engineering, Virtual, 04.07.2021-05.07.2021. Piscataway, NJ, USA: IEEE.
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Persian Sentence-level Sentiment Polarity Classification
Dashtipour K, Gogate M, Gelbukh A & Hussain A (2021) Persian Sentence-level Sentiment Polarity Classification. In: TBC. ICOTEN 2021: International Congress of Advanced Technology and Engineering, Virtual, 04.07.2021-05.07.2021. Piscataway, NJ, USA: IEEE.
Article
Associating Climatic Trends with Stochastic Modelling of Flow Sequences
Patidar S, Tanner E, Soundharajan B & SenGupta B (2021) Associating Climatic Trends with Stochastic Modelling of Flow Sequences. Geosciences, 11 (6), p. 27, Art. No.: 255. https://doi.org/10.3390/geosciences11060255
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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
Conference Paper (published)
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
Online multiplayer games as virtual laboratories for collecting data on social-ecological decision making
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
Alternative and Augmentative Communication Technologies for Supporting Adults With Mild Intellectual Disabilities During Clinical Consultations: Scoping Review
Gibson RC, Bouamrane M & Dunlop MD (2021) Alternative and Augmentative Communication Technologies for Supporting Adults With Mild Intellectual Disabilities During Clinical Consultations: Scoping Review. JMIR Rehabilitation and Assistive Technologies, 8 (2), p. e19925. https://rehab.jmir.org/2021/2/e19925; https://doi.org/10.2196/19925
Article
Sentiment analysis of persian movie reviews using deep learning
Dashtipour K, Gogate M, Adeel A, Larijani H & Hussain A (2021) Sentiment analysis of persian movie reviews using deep learning. Entropy, 23 (5), Art. No.: 596. https://doi.org/10.3390/e23050596
Article
Comparison of Target Detectors to Identify Icebergs in Quad-Polarimetric L-Band Synthetic Aperture Radar Data
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
Commentary
On plants and principles
Linson A, Ponkshe A & Calvo P (2021) On plants and principles. Commentary on: Birch, J., Ginsburg, S. & Jablonka, E. Unlimited Associative Learning and the origins of consciousness: a primer and some predictions. Biol Philos 35, 56 (2020). https://doi.org/10.1007/s10539-020-09772-0. Biology and Philosophy, 36 (2), pp. 1-4, Art. No.: 19. https://doi.org/10.1007/s10539-021-09793-3
Article
A hybrid posture detection framework: Integrating machine learning and deep neural networks
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Conference Paper (published)
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
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
Novel Deep Convolutional Neural Network-Based Contextual Recognition of Arabic Handwritten Scripts
Ahmed R, Gogate M, Tahir A, Dashtipour K, Al-tamimi B, Hawalah A, El-Affendi MA & Hussain A (2021) Novel Deep Convolutional Neural Network-Based Contextual Recognition of Arabic Handwritten Scripts. Entropy, 23 (3), Art. No.: 340. https://doi.org/10.3390/e23030340
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
Article
Modelling the effectiveness of collaborative schemes for disease and pest outbreak prevention
Bate AM, Jones G, Kleczkowski A & Touza J (2021) Modelling the effectiveness of collaborative schemes for disease and pest outbreak prevention. Ecological Modelling, 442, Art. No.: 109411. https://doi.org/10.1016/j.ecolmodel.2020.109411
Conference Paper (published)
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
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
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
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
Special Issue of Concurrency and Computation: Practice and experience "FPDAPP, Future Perspectives on Decentralized Applications"
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
Risk appetite and jumps in realized correlation
Demirer R, Gkillas K, Kountzakis C & Mavragani A (2020) Risk appetite and jumps in realized correlation. Mathematics, 8 (12), Art. No.: 2255. https://doi.org/10.3390/math8122255
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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COVID-19 predictability in the United States using Google Trends time series
Mavragani A & Gkillas K (2020) COVID-19 predictability in the United States using Google Trends time series. Scientific Reports, 10 (1), Art. No.: 20693. https://doi.org/10.1038/s41598-020-77275-9
Conference Paper (published)
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: Filipi? 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
Conference Paper (published)
More-than-human approach to researching AI at work: Alternative narratives for AI and networked learning
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.
Conference Paper (published)
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, B?ck 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
Conference Paper (published)
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
Conference Paper (published)
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
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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Slobodan Simi?: an appreciation
Cvetkovic D & Rowlinson P (2020) Slobodan Simi?: an appreciation. Discussiones Mathematicae Graph Theory, 40 (2), pp. 367-378. https://doi.org/10.7151/dmgt.2266
Article
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
Conference Paper (published)
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
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
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
On trees as star complements in regular graphs
Rowlinson P (2020) On trees as star complements in regular graphs. Discussions Mathematicae Graph Theory, 40 (2), pp. 621-636. https://doi.org/10.7151/dmgt.2272
Conference Paper (published)
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
Conference Paper (published)
Offline arabic handwriting recognition using deep machine learning: A review of recent advances
Ahmed R, Dashtipour K, Gogate M, Raza A, Zhang R, Huang K, Hawalah A, Adeel A & Hussain A (2020) Offline arabic handwriting recognition using deep machine learning: A review of recent advances. In: Ren J, Hussain A, Zhao H, Huang K, Zheng J, Cai J, Chen R & Xiao Y (eds.) Advances in Brain Inspired Cognitive Systems. BICS 2019. Lecture Notes in Computer Science, 11691. BICS 2019: 10th International Conference on Brain Inspired Cognitive Systems, Guangzhou, China, 13.07.2019-14.07.2019. Cham, Switzerland: Springer, pp. 457-468. https://doi.org/10.1007/978-3-030-39431-8_44
Conference Paper (published)
PerSent 2.0: Persian sentiment lexicon enriched with domain-specific words
Dashtipour K, Raza A, Gelbukh A, Zhang R, Cambria E & Hussain A (2020) PerSent 2.0: Persian sentiment lexicon enriched with domain-specific words. In: Ren J, Hussain A, Zhao H, Huang K, Zheng J, Cai J, Chen R & Xiao Y (eds.) Advances in Brain Inspired Cognitive Systems. BICS 2019. Lecture Notes in Computer Science, 11691. BICS 2019: 10th International Conference on Brain Inspired Cognitive Systems, Guangzhou, China, 13.07.2019-14.07.2019. Cham, Switzerland: Springer, pp. 497-509. https://doi.org/10.1007/978-3-030-39431-8_48
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
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
Conference Paper (published)
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
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
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
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
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
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
Article
Predictability analysis of the Pound's Brexit exchange rates based on Google Trends data
Mavragani A, Gkillas K & Tsagarakis KP (2020) Predictability analysis of the Pound's Brexit exchange rates based on Google Trends data. Journal of Big Data, 7 (1), Art. No.: 79. https://doi.org/10.1186/s40537-020-00337-2
Conference Paper (published)
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: B?ck 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
Conference Paper (published)
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
Conference Paper (published)
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
Conference Paper (published)
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
Book Chapter
Lessons from Expert Focus Groups on how to Better Support Adults with Mild Intellectual Disabilities to Engage in Co-Design
Colin Gibson R, D Dunlop M & Bouamrane M (2020) Lessons from Expert Focus Groups on how to Better Support Adults with Mild Intellectual Disabilities to Engage in Co-Design. In: Guerreiro T, Nicolau H & Moffatt K (eds.) ASSETS '20: Proceedings of the 22nd International ACM SIGACCESS Conference on Computers and Accessibility. New York: ACM, pp. 1 - 12. https://doi.org/10.1145/3373625.3417008
Book Chapter
Designing Clinical AAC Tablet Applications with Adults who have Mild Intellectual Disabilities
Gibson RC, Dunlop MD, Bouamrane M & Nayar R (2020) Designing Clinical AAC Tablet Applications with Adults who have Mild Intellectual Disabilities. In: CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. New York: ACM, pp. 1 - 13. https://doi.org/10.1145/3313831.3376159