Computing Science

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

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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

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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

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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).

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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

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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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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

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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

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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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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

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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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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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