Showing 1 to 100 of 2375
Article
McLean KA, Sgro A, Brown LR, Buijs LF, Mountain KE, Shaw CA, Drake TM, Pius R, Knight SR, Fairfield CJ, Skipworth RJE, Tsaftaris SA, Wigmore SJ, Potter MA & Bouamrane M (2025) Multimodal machine learning to predict surgical site infection with healthcare workload impact assessment. npj Digital Medicine, 8, Art. No.: 121. https://doi.org/10.1038/s41746-024-01419-8
Article
Cross modality medical image synthesis for improving liver segmentation
Rafiq M, Ali H, Mujtaba G, Shah Z & Azmat S (2025) Cross modality medical image synthesis for improving liver segmentation. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 13 (1). https://doi.org/10.1080/21681163.2025.2476702
Interpretable decision trees to predict solution fitness
Catalano GAPI, Brownlee AEI, Cairns D & Ainslie R (2025) Interpretable decision trees to predict solution fitness. In: GECCO 2025, Malaga, Spain, 14.07.2025-18.07.2025. Association for Computing Machinery (ACM). https://doi.org/10.1145/1122445.1122456
Article
Large Language Model Based Mutations in Genetic Improvement
Brownlee AEI, Callan J, Even-Mendoza K, Geiger A, Hanna C, Petke J, Sarro F & Sobania D (2025) Large Language Model Based Mutations in Genetic Improvement. Automated Software Engineering, 32 (15). https://doi.org/10.1007/s10515-024-00473-6
Article
Stevenson K, Meiklem R, Bouamrane M, Thomson P, Dunlop M, Martin L, Jones C & Kingsmore D (2025) Information needs in vascular access decision-making: A qualitative study of patient and clinical stakeholder perspectives. The Journal of Vascular Access, pp. 1-11. https://journals.sagepub.com/doi/10.1177/11297298251314792; https://doi.org/10.1177/11297298251314792
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
Book Chapter
Meiklem R, Bouamrane M, Kingsmore D, Stevenson K, Dunlop M & Thomson P (2024) Patient-Centred, Technology-Based Interventions for High Treatment Burden: An Overview of the State of the Art. In: Bichel-Findlay J, Otero P, Scott P & Huesing E (eds.) MEDINFO 2023 — The Future Is Accessible. Vol 310 ed. Studies in Health Technology and Informatics, Volume 310: MEDINFO 2023 — The Future Is Accessible. Proceedings of the 19th World Congress on Medical and Health Informatics: IOS Press, pp. 529 - 533. https://doi.org/10.3233/shti231021
Book Chapter
Lapp L, Bouamrane M, Roper M, Kavanagh K & Schraag S (2024) Decision Support in Cardiac Surgery: Early Exploration of Requirements with Cardiac Anesthetists and Surgeons. In: Digital Health and Informatics Innovations for Sustainable Health Care Systems. Studies in Health Technology and Informatics, Volume 316. IOS Press, pp. 1827 - 1831. https://doi.org/10.3233/shti240786
Conference Paper (published)
An FPGA-based neuromorphic vision system accelerator
Ali T, Rainey J, Lau SY, Gheorghiu E, Maier P, Appiah K & Bhowmick D (2024) An FPGA-based neuromorphic vision system accelerator. In: Bouma H, Prabhu R, Yitzhaky Y & Kuijf HJ (eds.) volume 13206. SPIE "Artificial Intelligence for Security and Defence Applications II, Edinburgh, 16.09.2024-20.09.2024. SPIE. https://doi.org/10.1117/12.3034095
Article
Ahmed FA, Yousef M, Ahmed MA, Ali HO, Mahboob A, Ali H, Shah Z, Aboumarzouk O, Al Ansari A & Balakrishnan S (2024) Deep learning for surgical instrument recognition and segmentation in robotic-assisted surgeries: a systematic review. Artificial Intelligence Review, 58 (1). https://doi.org/10.1007/s10462-024-10979-w
Combined Depth and Semantic Segmentation from Synthetic Data and a W-Net Architecture
Swingler K, Rumble T, Goutcher R, Hibbard P, Donoghue M & Harvey D (2024) Combined Depth and Semantic Segmentation from Synthetic Data and a W-Net Architecture. In: volume 1. 16th International Conference on Neural Computation Theory and Applications, Porto, Portugal, 20.11.2024-22.11.2024. SCITEPRESS - Science and Technology Publications, pp. 413-422. https://doi.org/10.5220/0012877500003837
Newspaper / Magazine
Band Aid sang ‘feed the world’ 40 years ago – where is hunger still an issue today?
Norman R (2024) Band Aid sang ‘feed the world’ 40 years ago – where is hunger still an issue today?. The Conversation. 27.11.2024. https://theconversation.com/band-aid-sang-feed-the-world-40-years-ago-where-is-hunger-still-an-issue-today-244564
Article
Semantically-Informed Graph Neural Networks for Irony Detection in Turkish
Bolucu N & Can Buglalilar B (2024) Semantically-Informed Graph Neural Networks for Irony Detection in Turkish. ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP).
Presentation / Talk
Predicting the impact of climate change on tick populations- a dynamic GIS approach
Norman R (2024) Predicting the impact of climate change on tick populations- a dynamic GIS approach. Royal Society Publishing Systems Biology Seminars, 01.11.2024. https://doi.org/10.52843/cassyni.dw8w3r
Article
Jan N, Minallah N, Sher M, Wasim M, Khan S, Al‐Rasheed A & Ali H (2024) Advanced Mineral Deposit Mapping via Deep Learning and SVM Integration With Remote Sensing Imaging Data. Engineering Reports, 7 (1). https://onlinelibrary.wiley.com/doi/full/10.1002/eng2.13031; https://doi.org/10.1002/eng2.13031
Article
McLean KA, Sgrò A, Brown LR, Buijs LF, Mozolowski K, Daines L, Cresswell K, Potter MA, Bouamrane M & Harrison EM (2024) Implementation of digital remote postoperative monitoring in routine practice: a qualitative study of barriers and facilitators. BMC Medical Informatics and Decision Making, 24 (1), p. 14. https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-024-02670-5; https://doi.org/10.1186/s12911-024-02670-5
Article
COVID-19 in Scottish care homes: A metapopulation model of spread among residents and staff
Baister M, McTaggart E, McMenemy P, Megiddo I & Kleczkowski A (2024) COVID-19 in Scottish care homes: A metapopulation model of spread among residents and staff. Epidemics, 48, Art. No.: 100781. https://www.sciencedirect.com/science/article/pii/S1755436524000422; https://doi.org/10.1016/j.epidem.2024.100781
Article
Worton AJ, Norman RA, Gilbert L & Porter RB (2024) GIS-ODE: linking dynamic population models with GIS to predict pathogen vector abundance across a country under climate change scenarios. Journal of the Royal Society Interface, 21 (217). https://doi.org/10.1098/rsif.2024.0004
Article
Blayney MC, Reed MJ, Masterson JA, Anand A, Bouamrane MM, Fleuriot J, Luz S, Lyall MJ, Mercer S, Mills NL, Shenkin SD, Walsh TS, Wild SH, Wu H & McLachlan S (2024) Multimorbidity and adverse outcomes following emergency department attendance: population based cohort study. BMJ Medicine, 3, Art. No.: e000731. https://doi.org/10.1136/bmjmed-2023-000731
Article
Reachability analysis of FMI models using data-driven dynamic sensitivity
Bogomolov S, Gomes C, Isasa C, Soudjani S, Stankaitis P & Wright T (2024) Reachability analysis of FMI models using data-driven dynamic sensitivity. SIMULATION. https://doi.org/10.1177/00375497241261409
Conference Abstract
McLean K, Sgrò A, Brown L, Buijs L, Potter M, Bouamrane MM & Harrison E (2024) Reducing the Burden to Deliver Remote Postoperative Surveillance Using Machine Learning for Surgical-Site Infection (SSI). British Journal of Surgery, 111 (Supplement_6), Art. No.: znae163.012. https://doi.org/10.1093/bjs/znae163.012
Edited Proceedings
ISSAC '24: Proceedings of the 2024 International Symposium on Symbolic and Algebraic Computation
Hauenstein J, Lee W & Chen S (eds.) (2024) ISSAC '24: Proceedings of the 2024 International Symposium on Symbolic and Algebraic Computation. The 2024 International Symposium on Symbolic and Algebraic Computation, Raleigh NC USA, 16.07.2024-19.07.2024. Association for Computing Machinery. https://dl.acm.org/
Conference Paper (published)
A Bi-Level Approach to Vehicle Fleet Reduction: Successful Case Study in Community Healthcare
Brownlee AEI, Thomson SL & Oladapo R (2024) A Bi-Level Approach to Vehicle Fleet Reduction: Successful Case Study in Community Healthcare. In: Genetic and Evolutionary Computation Conference 2024, Melbourne, Australia, 14.07.2024-18.07.2024. GECCO '24: ACM. https://doi.org/10.1145/3638530.3664137
Conference Paper (published)
Gu Y & Wei H (2024) Uncertainty-Informed Model Selection Method for Nonlinear System Identification and Interpretable Machine Learning. In: Proceedings of 2024 32nd Mediterranean Conference on Control and Automation (MED). 2024 32nd Mediterranean Conference on Control and Automation (MED), Chania - Crete, Greece, 11.06.2024-14.06.2024. IEEE, pp. 909-914. https://doi.org/10.1109/med61351.2024.10566184
Article
Watkinson M & Brownlee AEI (2024) Comparing apples and oranges? Investigating the consistency of CPU and memory profiler results across multiple java versions. Automated Software Engineering, 31, Art. No.: 28. https://doi.org/10.1007/s10515-024-00423-2
Article
Generalized Plackett-Luce Likelihoods
Hankin RKS (2024) Generalized Plackett-Luce Likelihoods. Journal of Statistical Software, 109 (8). https://doi.org/10.18637/jss.v109.i08
Edited Book
Crumllish M & Norman R (eds.) (2024) Aquatic Food Security. 5M books. https://5mbooks.com/product/aquatic-food-security
Article
Single Stage Adaptive Multi-Attention Network for Image Restoration
Zafar A, Aftab D, Qureshi R, Fan X, Chen P, Wu J, Ali H, Nawaz S, Khan S & Shah M (2024) Single Stage Adaptive Multi-Attention Network for Image Restoration. IEEE Transactions on Image Processing, 33, pp. 2924-2935. https://doi.org/10.1109/tip.2024.3384838
Article
Machine Learning–Based Approach for Identifying Research Gaps: COVID-19 as a Case Study
Abd-alrazaq A, Nashwan AJ, Shah Z, Abujaber A, Alhuwail D, Schneider J, AlSaad R, Ali H, Alomoush W, Ahmed A & Aziz S (2024) Machine Learning–Based Approach for Identifying Research Gaps: COVID-19 as a Case Study. JMIR Formative Research, 8, Art. No.: e49411. https://doi.org/10.2196/49411
Article
Introduction to the Special Issue on Explainable AI in Evolutionary Computation
Bacardit J, Brownlee A, Cagnoni S, Iacca G, McCall J & Walker D (2024) Introduction to the Special Issue on Explainable AI in Evolutionary Computation. ACM Transactions on Evolutionary Learning and Optimization, 4 (1), pp. 1-2. https://doi.org/10.1145/3649144
Article
Bi-Lipschitz embeddings of the space of unordered m-tuples with a partial transportation metric
Bate D & Garcia Pulido AL (2024) Bi-Lipschitz embeddings of the space of unordered m-tuples with a partial transportation metric. Mathematische Annalen. https://doi.org/10.1007/s00208-024-02831-x
Article
Farrell CM, McNeilly AD, Hapca S, Fournier PA, Jones TW, Facchinetti A, Cappon G, West DJ & McCrimmon RJ (2024) High intensity interval training as a novel treatment for impaired awareness of hypoglycaemia in people with type 1 diabetes (HIT4HYPOS): a randomised parallel-group study. Diabetologia, 67, pp. 392-402. https://doi.org/10.1007/s00125-023-06051-x
Article
Bailey J, Akbari V, Liu T, Lauknes TR & Marino A (2024) Iceberg Detection With RADARSAT-2 Quad-Polarimetric C-Band SAR in Kongsfjorden, Svalbard—Comparison With a Ground-Based Radar. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17, pp. 5790-5803. https://doi.org/10.1109/jstars.2024.3369392
Article
Ali H, Shah Z, Alam T, Wijayatunga P & Elyan E (2024) Editorial: Recent advances in multimodal artificial intelligence for disease diagnosis, prognosis, and prevention. Frontiers in Radiology, 3. https://doi.org/10.3389/fradi.2023.1349830
Book Chapter
Horizon Scanning For Aquatic Food Security
Norman R & Crumlish M Horizon Scanning For Aquatic Food Security. In: Crumlish M & Norman R (eds.) Aquatic Food Security. 5m books, p. Essex. https://5mbooks.com/product/aquatic-food-security
Book Chapter
The role of intensification in global aquaculture production
Norman R & Subasinghe R (2024) The role of intensification in global aquaculture production. In: Crumlish M & Norman R (eds.) Aquatic Food Security. Essex: 5M Books. https://5mbooks.com/product/aquatic-food-security
Book Chapter
Introduction To Global Aquatic Food Security
Norman R & Crumlish M (2024) Introduction To Global Aquatic Food Security. In: Crumlish M & Norman R (eds.) Aquatic Food Security. 1 ed. Essex: 5M publishing. https://5mbooks.com/product/aquatic-food-security
Conference Paper (published)
Prototypical Contrastive Network for Imbalanced Aerial Image Segmentation
Nogueira K, Maezano Faita-Pinheiro M, Ramos AP, Gon?alves WN, Marcato Junior J & Santos JAD (2023) Prototypical Contrastive Network for Imbalanced Aerial Image Segmentation. In: WACV 2024, 04.01.2024-08.01.2024. Piscataway, NJ, USA: IEEE.
Article
Johnston P, Nogueira K & Swingler K (2023) GMM-IL: Image Classification Using Incrementally Learnt, Independent Probabilistic Models for Small Sample Sizes. IEEE Access, 11, pp. 25492-25501. https://doi.org/10.1109/access.2023.3255795
Conference Paper (published)
Graham K, Thomson S & Brownlee A (2023) Unexplained Fluctuations in Particle Swarm Optimisation Performance with Increasing Problem Dimensionality. In: GECCO '23 Companion: Proceedings of the Companion Conference on Genetic and Evolutionary Computation. The Genetic and Evolutionary Computation Conference (GECCO) 2023, Lisbon, 15.07.2023-19.07.2023. New York: ACM, pp. 67-68.
Article
Expected goals in football: Improving model performance and demonstrating value
Mead J, O’Hare A & McMenemy P (2023) Expected goals in football: Improving model performance and demonstrating value. Muazu Musa R (Editor) PLOS ONE, 18 (4), Art. No.: e0282295. https://doi.org/10.1371/journal.pone.0282295
Article
A toy model of food production in a connected landscape
O'Hare A (2023) A toy model of food production in a connected landscape. Eftimie R (Editor) Frontiers in Applied Mathematics and Statistics, 9, Art. No.: 1058273. https://doi.org/10.3389/fams.2023.1058273
Conference Paper (published)
Goncalves DN, Junior JM, Zamboni P, Pistori H, Li J, Nogueira K & Goncalves W (2023) MTLSegFormer: Multi-Task Learning With Transformers for Semantic Segmentation in Precision Agriculture. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Vancouver, BC, Canada, 18.06.2023-22.06.2023. Piscataway, NJ, USA: IEEE, pp. 6290-6298. https://doi.org/10.1109/CVPRW59228.2023.00669
Article
Fractal-Based Ensemble Classification System for Hyperspectral Images
Beirami BA, Pirbasti MA & Akbari V (2023) Fractal-Based Ensemble Classification System for Hyperspectral Images. IEEE Geoscience and Remote Sensing Letters, 20, Art. No.: 5512405. https://doi.org/10.1109/lgrs.2023.3330608
Article
McMenemy P, Kleczkowski A & Taylor NGH (2023) Modelling norovirus dynamics within oysters emphasises potential food safety issues associated with current testing & depuration protocols. Food Microbiology, 116, Art. No.: 104363. https://doi.org/10.1016/j.fm.2023.104363
Book Chapter
Graph Pseudometrics from a Topological Point of View
Garcia-Pulido AL, Hess K, Tan J, Turner K, Wang B & Yerolemou N (2023) Graph Pseudometrics from a Topological Point of View. In: Gasparovic E, Robins V & Turner K (eds.) Research in Computational Topology 2. Association for Women in Mathematics Series. Springer International Publishing, pp. 99-128. https://doi.org/10.1007/978-3-030-95519-9_5
Edited Book
Advances in Deep Generative Models for Medical Artificial Intelligence
Ali H, Rehmani MH & Shah Z (eds.) (2023) Advances in Deep Generative Models for Medical Artificial Intelligence. Studies in Computational Intelligence. Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-46341-9
Conference Paper (published)
Explaining A Staff Rostering Problem By Mining Trajectory Variance Structures
Fyvie M, McCall JAW, Christie LA, Zavoianu A, Brownlee AEI & Ainslie R (2023) Explaining A Staff Rostering Problem By Mining Trajectory Variance Structures. In: TBC. Lecture Notes in Artificial Intelligence. AI-2023 Forty-third SGAI International Conference on Artificial Intelligence, Cambridge, 12.12.2023-14.12.2023. Cham, Switzerland: Springer.
Conference Paper (published)
Evaluating Explanations for Software Patches Generated by Large Language Models
Sobania D, Geiger A, Callan J, Brownlee A, Hanna C, Moussa R, Zamorano López M, Petke J & Sarro F (2023) Evaluating Explanations for Software Patches Generated by Large Language Models. In: Symposium on Search-Based Software Engineering- Challenge Track, San Francisco, CA, USA, 08.12.2023-08.12.2023.
Article
On the non-existence of sympathetic Lie algebras with dimension less than 25
Garcia Pulido AL & Salgado G (2023) On the non-existence of sympathetic Lie algebras with dimension less than 25. Journal of Algebra and Its Applications. https://doi.org/10.1142/S0219498825501221
Article
DeSSR: a Decentralized, Broadcast-Based Scalable Scheduling Reservation Protocol for 6TiSCH Networks
Kumar K & Kolberg M (2023) DeSSR: a Decentralized, Broadcast-Based Scalable Scheduling Reservation Protocol for 6TiSCH Networks. IEEE Internet of Things Journal. https://doi.org/10.1109/jiot.2023.3338289
Article
Text mining of veterinary forums for epidemiological surveillance supplementation
Munaf S, Swingler K, Brülisauer F, O’Hare A, Gunn G & Reeves A (2023) Text mining of veterinary forums for epidemiological surveillance supplementation. Social Network Analysis and Mining, 13 (1), Art. No.: 121 (2023). https://doi.org/10.1007/s13278-023-01131-7
Article
Souza AP, Oliveira BA, Andrade ML, Starling MCVM, Pereira AH, Maillard P, Nogueira K, dos Santos JA & Amorim CC (2023) Integrating remote sensing and machine learning to detect turbidity anomalies in hydroelectric reservoirs. Science of The Total Environment, 902, Art. No.: 165964. https://doi.org/10.1016/j.scitotenv.2023.165964
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
Ali H, Qureshi R & Shah Z (2023) Artificial Intelligence-Based Methods for Integrating Local and Global Features for Brain Cancer Imaging: Scoping Review. JMIR Medical Informatics, 11, Art. No.: e47445. https://doi.org/10.2196/47445
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.
Conference Paper (published)
Paving the Way for Automatic Mapping of Rural Roads in the Amazon Rainforest
Faria LCd, Brito M, Nogueira K & dos Santos JA (2023) Paving the Way for Automatic Mapping of Rural Roads in the Amazon Rainforest. In: SIBGRAPI Conference on Graphics, Patterns and Images, 06.11.2023-09.11.2023. IEEE.
Article
Towards Explainable Metaheuristics: Feature Extraction from Trajectory Mining
Fyvie M, Mccall J, Christie L, Brownlee A & Singh M (2023) Towards Explainable Metaheuristics: Feature Extraction from Trajectory Mining. Expert Systems, Art. No.: e13494. https://doi.org/10.1111/exsy.13494
Book Chapter
Enhancing Genetic Improvement Mutations Using Large Language Models
Brownlee A, Callan J, Even-Mendoza K, Geiger A, Hanna C, Petke J, Sarro F & Sobania D (2023) Enhancing Genetic Improvement Mutations Using Large Language Models. In: Arcaini P, Yue T & Fredericks EM (eds.) Search-Based Software Engineering: 15th International Symposium, SSBSE 2023, San Francisco, CA, USA, December 8, 2023, Proceedings. Lecture Notes in Computer Science. Cham, Switzerland: Springer. https://link.springer.com/book/9783031487958
Article
Heeney C, Bouamrane M, Malden S, Cresswell K, Williams R & Sheikh A (2023) Optimising ePrescribing in hospitals through the interoperability of systems and processes: a qualitative study in the UK, US, Norway and the Netherlands. BMC Medical Informatics and Decision Making, 23, Art. No.: 211. https://doi.org/10.1186/s12911-023-02316-y
Article
STNWeb: A new visualization tool for analyzing optimization algorithms
Chacón Sartori C, Blum C & Ochoa G (2023) STNWeb: A new visualization tool for analyzing optimization algorithms. Software Impacts, 17, Art. No.: 100558. https://doi.org/10.1016/j.simpa.2023.100558
Article
Improving diagnosis and prognosis of lung cancer using vision transformers: a scoping review
Ali H, Mohsen F & Shah Z (2023) Improving diagnosis and prognosis of lung cancer using vision transformers: a scoping review. BMC Medical Imaging, 23, Art. No.: 129. https://doi.org/10.1186/s12880-023-01098-z
Article
‘They gave me an opportunity, and I took it’: motivations and concerns of adult apprentices
Smith S, Fabian K, Taylor-Smith E, Barr M, Berg T, Bratton A, Kolberg M, Paterson J & Zarb M (2023) ‘They gave me an opportunity, and I took it’: motivations and concerns of adult apprentices. Journal of Vocational Education & Training. https://doi.org/10.1080/13636820.2023.2255576
Article
Rajendrakumar AL, Hapca SM, Nair ATN, Huang Y, Chourasia MK, Kwan RS, Nangia C, Siddiqui MK, Vijayaraghavan P, Matthew SZ, Leese GP, Mohan V, Pearson ER, Doney ASF & Palmer CNA (2023) Competing risks analysis for neutrophil to lymphocyte ratio as a predictor of diabetic retinopathy incidence in the Scottish population. BMC Medicine, 21, Art. No.: 304. https://doi.org/10.1186/s12916-023-02976-7
Conference Paper (published)
From Fitness Landscapes to Explainable AI and Back
Thomson S, Adair J, Brownlee A & van den Berg D (2023) From Fitness Landscapes to Explainable AI and Back. In: GECCO '23 Companion. Gecco '23: The Genetic and Evolutionary Computation Conference, Lisbon, 15.07.2023-19.07.2023. New York: ACM. https://doi.org/10.1145/3583133.3596395
Article
Lapp L, Roper M, Kavanagh K, Bouamrane M & Schraag S (2023) Dynamic Prediction of Patient Outcomes in the Intensive Care Unit: A Scoping Review of the State-of-the-Art. Journal of Intensive Care Medicine, 38 (7), pp. 575-591. https://doi.org/10.1177/08850666231166349
Article
Validation of a vascular access specific quality of life measure (VASQoL)
Richarz S, Greenwood S, Kingsmore DB, Thomson PC, Dunlop M, Bouamrane M, Meiklem R & Stevenson K (2023) Validation of a vascular access specific quality of life measure (VASQoL). The Journal of Vascular Access, 24 (4), pp. 702-714. https://doi.org/10.1177/11297298211046746
Conference Paper (published)
Channel Configuration for Neural Architecture: Insights from the Search Space
Thomson SL, Ochoa G, Veerapen N & Michalak K (2023) Channel Configuration for Neural Architecture: Insights from the Search Space. In: TBC. The Genetic and Evolutionary Computation Conference (GECCO) 2023, Lisbon, Portugal, 15.07.2023-19.07.2023. New York: ACM. https://doi.org/10.1145/nnnnnnn.nnnnnnn
Conference Paper (published)
Randomness in Local Optima Network Sampling
Thomson S, Veerapen N, Ochoa G & van den Berg D (2023) Randomness in Local Optima Network Sampling. In: GECCO ’23 Companion: Genetic and Evolutionary Computation Conference Companion. GECCO '23, Lisbon (hybrid), 15.07.2023-19.07.2023. New York: ACM. https://doi.org/10.1145/3583133.3596309
Conference Paper (published)
Explaining a Staff Rostering Genetic Algorithm using Sensitivity Analysis and Trajectory Analysis.
Fyvie M, Mccall J, Christie L & Brownlee A (2023) Explaining a Staff Rostering Genetic Algorithm using Sensitivity Analysis and Trajectory Analysis.. In: GECCO '23 Companion: Companion Conference on Genetic and Evolutionary Computation, Lisbon Portugal, 15.07.2023-19.07.2023. ACM, pp. 1648-1656. https://doi.org/10.1145/3583133.3596353
Book Chapter
Prediction of Suicidal Risk using Machine Learning Models
Kashyap G, Siddiqui A, Siddiqui R, Malik K, Wazir S & Brownlee A Prediction of Suicidal Risk using Machine Learning Models. In: Research Advances in Intelligent Computing (Volume 2). CRC Press / Yalor and Francis.
Book Chapter
Detection of a facemask in real-time using deep learning methods: Prevention of Covid 19
Kashyap G, Sohlot J, Siddiqui A, Siddiqui R, Malik K, Wazir S & Brownlee A (2023) Detection of a facemask in real-time using deep learning methods: Prevention of Covid 19. In: Research Advances in Network Technologies (Volume 2). CRC Press / Taylor and Francis.
Article
Wang H, Cordiner RLM, Huang Y, Donnelly L, Hapca S, Collier A, McKnight J, Kennon B, Gibb F, McKeigue P, Wild SH, Colhoun H, Chalmers J, Petrie J & Sattar N (2023) Cardiovascular Safety in Type 2 Diabetes With Sulfonylureas as Second-line Drugs: A Nationwide Population-Based Comparative Safety Study. Diabetes Care, 46 (5), pp. 967-977. https://doi.org/10.2337/dc22-1238
Article
Positive feedback loops exacerbate the influence of superspreaders in disease transmission
Wanelik KM, Begon M, Fenton A, Norman RA & Beldomenico PM (2023) Positive feedback loops exacerbate the influence of superspreaders in disease transmission. Norman R (Researcher) iScience, 26 (5), Art. No.: 106618. https://doi.org/10.1016/j.isci.2023.106618
Article
Ameer I, B?lücü N, Sidorov G & Can B (2023) Emotion Classification in Texts Over Graph Neural Networks: Semantic Representation is Better Than Syntactic. IEEE Access, 11, pp. 56921-56934. https://doi.org/10.1109/access.2023.3281544
Article
Program Transformation Landscapes for Automated Program Modification Using Gin
Petke J, Alexander B, Barr ET, Brownlee A, Wagner M & White D (2023) Program Transformation Landscapes for Automated Program Modification Using Gin. Empirical Software Engineering.
Conference Paper (published)
Updating Gin's profiler for current Java
Watkinson M & Brownlee A (2023) Updating Gin's profiler for current Java. Wagner M (Researcher) In: GI '23: Proceedings of the 12th International Workshop on Genetic Improvement. The 12th International Workshop on Genetic Improvement, at the International Conference on Software Engineering, Melbourne, Australia, 14.05.2023-20.05.2023. New York: ACM.
Evolutionary Computation and Explainable AI: a year in review
Bacardit J, Brownlee A, Cagnoni S, Iacca G, McCall J & Walker D (2023) Evolutionary Computation and Explainable AI: a year in review. EvoStar, Brno, Czech Republic (hybrid), 12.04.2023-14.04.2023.
Book Chapter
Wazir S, Kashyap GS, Malik K & Brownlee A (2023) Predicting the Infection Level of Covid-19 Virus using Normal Distribution Based Approximation Model and PSO. In: Mathematical Modeling and Intelligent Control for Combating Pandemics. Springer.
Article
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