Computing Science

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.) Artificial Intelligence for Security and Defence Applications II. Proceedings of SPIE, 13206. SPIE "Artificial Intelligence for Security and Defence Applications II, Edinburgh, 16.09.2024-20.09.2024. SPIE.

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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).

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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

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Conference Paper (published)

Prototypical Contrastive Network for Imbalanced Aerial Image Segmentation

Nogueira K, Maezano Faita-Pinheiro M, Ramos AP, Gonçalves 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.

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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

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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

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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

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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

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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

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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

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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.

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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

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‘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

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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

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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

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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

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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

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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

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