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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

Patient-Centred, Technology-Based Interventions for High Treatment Burden: An Overview of the State of the Art

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

Decision Support in Cardiac Surgery: Early Exploration of Requirements with Cardiac Anesthetists and Surgeons

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

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

Deep learning for surgical instrument recognition and segmentation in robotic-assisted surgeries: a systematic review

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

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

Implementation of digital remote postoperative monitoring in routine practice: a qualitative study of barriers and facilitators

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

GIS-ODE: linking dynamic population models with GIS to predict pathogen vector abundance across a country under climate change scenarios

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

Multimorbidity and adverse outcomes following emergency department attendance: population based cohort study

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

Conference Abstract

Reducing the Burden to Deliver Remote Postoperative Surveillance Using Machine Learning for Surgical-Site Infection (SSI)

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

Uncertainty-Informed Model Selection Method for Nonlinear System Identification and Interpretable Machine Learning

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

Comparing apples and oranges? Investigating the consistency of CPU and memory profiler results across multiple java versions

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

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

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

Horizon Scanning For Aquatic Food Security

Norman R & Crumlish M (2024) 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

Edited Book

Aquatic Food Security

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

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

Iceberg Detection With RADARSAT-2 Quad-Polarimetric C-Band SAR in Kongsfjorden, Svalbard—Comparison With a Ground-Based Radar

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

Editorial: Recent advances in multimodal artificial intelligence for disease diagnosis, prognosis, and prevention

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

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

GMM-IL: Image Classification Using Incrementally Learnt, Independent Probabilistic Models for Small Sample Sizes

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)

Unexplained Fluctuations in Particle Swarm Optimisation Performance with Increasing Problem Dimensionality

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)

MTLSegFormer: Multi-Task Learning With Transformers for Semantic Segmentation in Precision Agriculture

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

Modelling norovirus dynamics within oysters emphasises potential food safety issues associated with current testing & depuration protocols

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

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

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

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

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

Integrating remote sensing and machine learning to detect turbidity anomalies in hydroelectric reservoirs

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

A modeling study of the impact of treatment policies on the evolution of resistance in sea lice on salmon farms

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

Article

Optimising ePrescribing in hospitals through the interoperability of systems and processes: a qualitative study in the UK, US, Norway and the Netherlands

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

‘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

Competing risks analysis for neutrophil to lymphocyte ratio as a predictor of diabetic retinopathy incidence in the Scottish population

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

Dynamic Prediction of Patient Outcomes in the Intensive Care Unit: A Scoping Review of the State-of-the-Art

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

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

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

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

Cardiovascular Safety in Type 2 Diabetes With Sulfonylureas as Second-line Drugs: A Nationwide Population-Based Comparative Safety Study

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

Emotion Classification in Texts Over Graph Neural Networks: Semantic Representation is Better Than Syntactic

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.

Book Chapter

Predicting the Infection Level of Covid-19 Virus using Normal Distribution Based Approximation Model and PSO

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.

Other

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.

Article

Multi-label emotion classification in texts using transfer learning

Ameer I, B?lücü N, Siddiqui MHF, Can B, Sidorov G & Gelbukh A (2023) Multi-label emotion classification in texts using transfer learning. Expert Systems with Applications, 213, Art. No.: 118534. https://doi.org/10.1016/j.eswa.2022.118534

Research Report

Investigating Causal links from Observed Features in the first COVID-19 Waves in California

Good S & O'Hare A (2023) Investigating Causal links from Observed Features in the first COVID-19 Waves in California. ArXiv: Ithaca, New York. https://doi.org/10.48550/arXiv.2303.14485

Article

A Siamese Neural Network for Learning Semantically-Informed Sentence Embeddings

B?lücü N, Can B & Artuner H (2023) A Siamese Neural Network for Learning Semantically-Informed Sentence Embeddings. Can Buglalilar B (Supervisor) Expert Systems with Applications, 214, Art. No.: 119103. https://doi.org/10.1016/j.eswa.2022.119103

Article

CAD-Based Design Optimization of Four-Bar Mechanisms: An Emergency Ventilator Case Study

Ben Yahya A, Van Oosterwyck N, Knaepkens F, Houwen S, Herregodts S, Herregodts J, Vanwalleghem B, Cuyt A & Derammelaere S (2023) CAD-Based Design Optimization of Four-Bar Mechanisms: An Emergency Ventilator Case Study. Designs, 7 (2), p. 38. https://doi.org/10.3390/designs7020038

Article

On the robustness of exponential base terms and the Padé denominator in some least squares sense

Knaepkens F & Cuyt A (2023) On the robustness of exponential base terms and the Padé denominator in some least squares sense. Numerical Algorithms, 92 (1), pp. 747-766. https://doi.org/10.1007/s11075-022-01455-z

Article

Change Detection in Multilook Polarimetric SAR Imagery With Determinant Ratio Test Statistic

Bouhlel N, Akbari V & Meric S (2022) Change Detection in Multilook Polarimetric SAR Imagery With Determinant Ratio Test Statistic. IEEE Transactions on Geoscience and Remote Sensing, 60, Art. No.: 5200515. https://doi.org/10.1109/TGRS.2020.3043517

Article

More on signed graphs with at most three eigenvalues

Ramezani F, Rowlinson P & Stani? Z (2022) More on signed graphs with at most three eigenvalues. Discussiones Mathematicae Graph Theory, 42 (4), pp. 1313-1331. https://doi.org/10.7151/dmgt.2393

Article

Clear-Cut Detection and Mapping Using Sentinel-1 Backscatter Coefficient and Short-Term Interferometric Coherence Time Series

Akbari V & Solberg S (2022) Clear-Cut Detection and Mapping Using Sentinel-1 Backscatter Coefficient and Short-Term Interferometric Coherence Time Series. IEEE Geoscience and Remote Sensing Letters, 19, Art. No.: 4006405. https://doi.org/10.1109/lgrs.2020.3039875

Article

Seafood in Food Security: A Call for Bridging the Terrestrial-Aquatic Divide

Stetkiewicz S, Norman RA, Allison EH, Coffee P, Crumlish M, Eltholth M, Falconer L, Kaminski AM, Leschen W, McAdam B, Newton R, Pounds A, Schapper A, Young JA & Little DC (2022) Seafood in Food Security: A Call for Bridging the Terrestrial-Aquatic Divide. Frontiers in Sustainable Food Systems, 5, Art. No.: 703152. https://doi.org/10.3389/fsufs.2021.703152

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Insight into real-world complexities is required to enable effective response from the aquaculture sector to climate change

Falconer L, Telfer TC, Garrett A, Hermansen ?, Mikkelsen E, Hj?llo SS, McAdam BJ & Ytteborg E (2022) Insight into real-world complexities is required to enable effective response from the aquaculture sector to climate change. PLOS Climate, 1 (3), Art. No.: e0000017. https://doi.org/10.1371/journal.pclm.0000017

Conference Paper (published)

On Funnel Depths and Acceptance Criteria in Stochastic Local Search

Thomson S & Ochoa G (2022) On Funnel Depths and Acceptance Criteria in Stochastic Local Search. In: GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference. Genetic and Evolutionary Computation Conference (GECCO) 2022, Boston, USA, 09.07.2022-13.07.2022. New York: ACM, pp. 287-295. https://dl.acm.org/doi/abs/10.1145/3512290.3528831; https://doi.org/10.1145/3512290.3528831

Conference Paper (published)

Expanding Fix Patterns to Enable Automatic Program Repair

Nowack V, Bowes D, Counsell S, Hall T, Haraldsson S, Winter E & Woodward J (2022) Expanding Fix Patterns to Enable Automatic Program Repair. In: Jin Z, Li X, Xiang J, Mariani L, Liu T, Yu X & Ivaki N (eds.) 32nd IEEE International Symposium on Software Reliability Engineering, ISSRE 2021. 2021 IEEE 32nd International Symposium on Software Reliability Engineering (ISSRE), Wuhan, China, 25.10.2021-28.10.2021. Piscataway, NJ, USA: IEEE Computer Society, pp. 12-23. https://doi.org/10.1109/ISSRE52982.2021.00015

Conference Paper (published)

Towards Explainable Metaheuristic: Mining Surrogate Fitness Models for Importance of Variables

Singh M, Brownlee AEI & Cairns D (2022) Towards Explainable Metaheuristic: Mining Surrogate Fitness Models for Importance of Variables. In: GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO '22:, Boston, USA, 09.07.2022-13.07.2022. New York: ACM, pp. 1785-1793. https://doi.org/10.1145/3520304.3533966

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Comparing traditional news and social media with stock price movements; which comes first, the news or the price change?

Smith S & O’Hare A (2022) Comparing traditional news and social media with stock price movements; which comes first, the news or the price change?. Journal of Big Data, 9, Art. No.: 47. https://doi.org/10.1186/s40537-022-00591-6

Conference Paper (published)

Neuroevolution Trajectory Networks of the Behaviour Space

Sarti S, Adair J & Ochoa G (2022) Neuroevolution Trajectory Networks of the Behaviour Space. In: Jiménez Laredo JL, Hidalgo JI & Babaagba KO (eds.) Applications of Evolutionary Computation. Lecture Notes in Computer Science, 13224. EvoApplications 2022, Madrid, Spain, 20.04.2022-22.04.2022. Cham, Switzerland: Springer International Publishing, pp. 685-703. https://doi.org/10.1007/978-3-031-02462-7_43