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Results for Deep Learning

Publications & Outputs

  1. Deep learning-based aberration compensation improves contrast and resolution in fluorescence microscopy

    Guo, M., Wu, Y., Hobson, C. M., Su, Y., Qian, S., Krueger, E., Christensen, R., Kroeschell, G., Bui, J., Chaw, M., Zhang, L., Liu, J., Hou, X., Han, X., Lu, Z., Ma, X., Zhovmer, A., Combs, C., Moyle, M. & Yemini, E. & 6 others, Liu, H., Liu, Z., Benedetto, A., La Riviere, P., Colón-Ramos, D. & Shroff, H., 2/01/2025, In: Nature Communications. 16, 1, 313.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  2. Transfer learning for galaxy feature detection: Finding giant star-forming clumps in low-redshift galaxies using Faster Region-based Convolutional Neural Network

    Popp, J. J., Dickinson, H., Serjeant, S., Walmsley, M., Adams, D., Fortson, L., Mantha, K., Mehta, V., Dawson, J. M., Kruk, S. & Simmons, B., 31/12/2024, In: RAS Techniques and Instruments. 3, 1, p. 174-197 24 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  3. FADNet: Greenhouse Identification with Fusion Attention Mechanism and Deformable Convolution

    Liu, J., Xu, X., Bilal, M. & Jiang, J., 1/04/2024, In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17, p. 7170 - 7178 8 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  4. START: Straggler Prediction and Mitigation for Cloud Computing Environments using Encoder LSTM Networks

    Tuli, S., Singh Gill, S., Garraghan, P., Buyya, R., Casale, G. & Jennings, N. R., 31/01/2023, In: IEEE Transactions on Services Computing. 16, 1, p. 615-627 13 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  5. Cross-Domain Activity Recognition Using Shared Representation in Sensor Data

    Hamad, R. A., Yang, L., Woo, W. L. & Wei, B., 1/07/2022, In: IEEE Sensors Journal. 22, 13, p. 13273-13284 12 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  6. Trimmer: Cost-Efficient Deep Learning Auto-tuning for Cloud Datacenters

    Borowiec, D., Yeung, G.-F., Friday, A., Harper, R. H. R. & Garraghan, P., 11/05/2022, (Accepted/In press) IEEE International Conference on Cloud Computing. CLOUD 22. IEEE

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

  7. An Attention-Based U-Net for Detecting Deforestation Within Satellite Sensor Imagery

    John, D. & Zhang, C., 31/03/2022, In: International Journal of Applied Earth Observation and Geoinformation. 107, 9 p., 102685.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  8. Horus: Interference-Aware and Prediction-Based Scheduling in Deep Learning Systems

    Yeung, G.-F., Borowiec, D., Yang, R., Friday, A., Harper, R. H. R. & Garraghan, P., 31/01/2022, In: IEEE Transactions on Parallel and Distributed Systems. 33, 1, p. 88-100 13 p., 21015055.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  9. Advanced data-driven modelling approaches to alarm-related fault detection and condition monitoring of wind turbines

    Wu, Y., 2022, (Unpublished) Lancaster University. 202 p.

    Research output: ThesisDoctoral Thesis

  10. ABCNet: Attentive bilateral contextual network for efficient semantic segmentation of Fine-Resolution remotely sensed imagery

    Li, R., Zheng, S., Zhang, C., Duan, C., Wang, L. & Atkinson, P., 30/11/2021, In: ISPRS Journal of Photogrammetry and Remote Sensing. 181, p. 84-98 15 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  11. Horus: An Interference-aware Resource Manager for Deep Learning Systems

    Yeung, G., Borowiec, D., Yang, R., Friday, A., Harper, R. H. R. & Garraghan, P., 29/09/2020, Algorithms and Architectures for Parallel Processing. ICA3PP 2020. Qiu, M. (ed.). Springer, p. 492-508 17 p. (Lecture Notes in Computer Science; vol. 12453).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

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