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Multitemporal multispectral drone imagery for water hyacinth mapping in Patancheru lake, Hyderabad, India
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The intersection of Evolutionary Computation and Explainable AI Anonymous authors
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Detecting Water Hyacinth Infestation in Kuttanad, India, Using Dual-Pol Sentinel-1 SAR Imagery
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The Fractal Geometry of Fitness Landscapes at the Local Optima Level
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Patients’ and Clinicians’ Perspectives on the Acceptability of Completing Digital Quality of Life Questionnaires During Routine Haemodialysis Clinics: A Mixed-Methods Study
Meiklem R, Stevenson K, Richarz S, Kingsmore D, Bouamrane M, Dunlop M & Thomson P (2022) Patients’ and Clinicians’ Perspectives on the Acceptability of Completing Digital Quality of Life Questionnaires During Routine Haemodialysis Clinics: A Mixed-Methods Study. In: Volume 290: MEDINFO 2021: One World, One Health – Global Partnership for Digital Innovation. Studies in Health Technology and Informatics. IOS Press, pp. 752 - 756. https://ebooks.iospress.nl/doi/10.3233/SHTI220179; https://doi.org/10.3233/shti220179
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Kv3.3 subunits control presynaptic action potential waveform and neurotransmitter release at a central excitatory synapse
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Recombination and Novelty in Neuroevolution: A Visual Analysis
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Can contributions to a positive research culture be measured?
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A Quantitative Systems Pharmacology perspective on the importance of parameter identifiability
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Let's Talk With Developers, Not About Developers: A Review of Automatic Program Repair Research
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Comparison of target detectors to identify icebergs in Quad- Polarimetric SAR Alos-2 images
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Search Trajectory Networks Applied to the Cyclic Bandwidth Sum Problem
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Towards explaining metaheuristic solution quality by data mining surrogate fitness models for importance of variables
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Determining Iceberg Scattering Mechanisms in Greenland Using Quad Pol ALOS-2 SAR Data
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Multitemporal Sentinel-1 and Sentinel-2 Images for Characterization and Discrimination of Young Forest Stands Under Regeneration in Norway
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Security and Forensics Exploration of Learning-based Image Coding
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Sentiment Analysis to Assess Students’ Perception on the Adoption of Online Learning During Pre-COVID-19 Pandemic Period
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A formal model of Algorand smart contracts
Bartoletti M, Bracciali A, Lepore C, Scalas A & Zunino R (2021) A formal model of Algorand smart contracts. In: Borisov N & Diaz C (eds.) Financial Cryptography and Data Security. FC 2021. Lecture Notes in Computer Science, 12674. International Conference on Financial Cryptography and Data Security, Online, 01.03.2021-05.03.2021. Cham, Switzerland: Springer, pp. 93-114. https://doi.org/10.1007/978-3-662-64322-8_5
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Mining Markov Network Surrogates to Explain the Results of Metaheuristic Optimisation
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Construction of Artificial Point Sources for a Linear Wave Equation in Unknown Medium
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A more-than-human approach to researching AI at work: Alternative narratives for human and AI co-workers
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An Introduction to Deep Morphological Networks
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JPEG Fake Media: a provenance-based sustainable approach to secure and trustworthy media annotation
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Matching creeping waves with lit area diffraction field
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Cross-sectional telephone surveys as a tool to study epidemiological factors and monitor seasonal influenza activity in Malta
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Antenna Position Estimation Through Subsampled Exponential Analysis of Signals in the Near Field
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Antenna position estimation through sub-sampled exponential analysis of harmonically related input signals
Louw R, Knaepkens F, Cuyt A, Lee W, Wijnholds SJ, de Villiers DIL & Weideman R (2021) Antenna position estimation through sub-sampled exponential analysis of harmonically related input signals. In: Proceedings of XXXIV General Assembly and Scientific Symposium (GASS) of the International Union of Radio Science (Union Radio Scientifique International - URSI). XXXIV General Assembly and Scientific Symposium (GASS) of the International Union of Radio Science (Union Radio Scientifique International - URSI), Rome, Italy, 28.08.2021-04.09.2021. Piscataway, NJ, USA: IEEE. https://doi.org/10.23919/URSIGASS51995.2021.9560519
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Monitoring Aquatic Weeds In Indian Wetlands Using Multitemporal Remote Sensing Data With Machine Learning Techniques
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An Introduction to the JPEG Fake Media Initiative
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A new phylodynamic model of Mycobacterium bovis transmission in a multi-host system uncovers the role of the unobserved reservoir
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Comparing a Game v. Non-Game approach for plant provenance public education
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Exploring the Accuracy - Energy Trade-off in Machine Learning
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Decomposing Textures Using Exponential Analysis
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Towards improved clustering and routing protocol for wireless sensor networks
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AiRound and CV-BrCT: Novel Multiview Datasets for Scene Classification
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Video Watermarking for Persistent and Robust Tracking of Entertainment Content (PARTEC)
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Effective use of evolutionary computation to parameterise an epidemiological model
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Conference Proceeding
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
Conference Proceeding
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: Proceedings of the 18th International IFIP Conference on Human-Computer Interaction – INTERACT 2021.. Springer International Publishing, pp. 175-196. https://link.springer.com/chapter/10.1007/978-3-030-85616-8_12; 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
Article
A chance-constrained programming model for airport ground movement optimisation with taxi time uncertainties
Wang X, Brownlee AEI, Weiszer M, Woodward JR, Mahfouf M & Chen J (2021) A chance-constrained programming model for airport ground movement optimisation with taxi time uncertainties. Transportation Research Part C: Emerging Technologies, 132, Art. No.: 103382. https://doi.org/10.1016/j.trc.2021.103382
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, Baweja K, Cambridge WA, Chauhan V, Czyzykowska K, Edirisooriya M, Forsyth A, Fox B, Fretwell J, Gent C, Gherman A, Green L, Grewar J, Heelan S, Henshall D, Iiuoma C, Jayasangaran S, Johnston C, Kennedy E, Kremel D, Kung J, Kwong J, Leavy C, Liu J, Mackay S, MacNamara A, Mowitt S, Musenga E, Ng N, Ng ZH, O’Neill S, Ramage M, Reed J, Riad A, Scott C, Sehgal V, Sgrò A, Steven L, Stutchfield B, Tominey S, Wilson W, Wojtowicz M, Yang J & TWIST Collaborators (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
Article
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
Article
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
Article
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
Article
Semantic segmentation of tree-canopy in urban environment with pixel-wise deep learning
Martins JAC, Nogueira K, Osco LP, Gomes FDG, Furuya DEG, Gonçalves 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, Gonçalves 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
Article
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