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Results for Convolutional neural network

Publications & Outputs

  1. Under-resourced or overloaded? Rethinking working memory deficits in developmental language disorder

    Jones, S. & Westermann, G., 30/11/2022, (E-pub ahead of print) In: Psychological Review. 129, 6, p. 1358-1372 15 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  2. Temporal sequence Object-based CNN (TS-OCNN) for crop classification from fine resolution remote sensing image time-series

    Li, H., Tian, Y., Zhang, C., Zhang, S. & Atkinson, P. M., 30/10/2022, In: Crop Journal. 10, 5, p. 1507-1516 10 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  3. A deep learning model for incorporating temporal information in haze removal

    Ma, X., Wang, Q., Tong, X. & Atkinson, P. M., 1/06/2022, In: Remote Sensing of Environment. 274, 17 p., 113012.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  4. Enhanced near-infrared periocular recognition through collaborative rendering of hand crafted and deep features

    Vyas, R., 31/03/2022, In: Multimedia Tools and Applications. 81, 7, p. 9351–9365 15 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  5. Spatio-Temporal ECG Network for Detecting Cardiac Disorders from Multi-Lead ECGs: 2021 Computing in Cardiology, CinC 2021

    Chen, L., Jiang, Z., Almeida, T. P., Schlindwein, F. S., Shoker, J. S., Ng, G. A., Zhou, H. & Li, X., 10/01/2022, 2021 Computing in Cardiology (CinC). IEEE, p. 1-4 4 p.

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

  6. Image-based automatic diagnostic system for tomato plants using deep learning

    Khatoon, S., Hasan, M. M., Asif, A., Alshmari, M. & Yap, Y. K., 12/01/2021, In: Computers, Materials and Continua. 67, 1, p. 595-612 18 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  7. Atypical Facial Landmark Localisation with Stacked Hourglass Networks: A Study on 3D Facial Modelling for Medical Diagnosis

    Storey, G., Bouridane, A., Jiang, R. & Li, C-T., 29/01/2020, Deep Biometrics. Jiang, R., Li, C-T., Crookes, D., Meng, W. & Rosenberger, C. (eds.). Cham: Springer, p. 37-49 13 p. (Unsupervised and Semi-Supervised Learning ).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter (peer-reviewed)peer-review

  8. ST-CNN: Spatial-Temporal Convolutional Neural Network for crowd counting in videos

    Miao, Y., Han, J., Gao, Y. & Zhang, B., 1/07/2019, In: Pattern Recognition Letters. 125, p. 113-118 6 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  9. Prediction of Wave Power Generation Using a Convolutional Neural Network with Multiple Inputs

    Ni, C. & Ma, X., 13/08/2018, In: Energies. 11, 8, 18 p., 2097.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  10. A hybrid MLP-CNN classifier for very fine resolution remotely sensed image classification

    Zhang, C., Pan, X., Li, H., Gardiner, A., Sargent, I., Hare, J. & Atkinson, P. M., 06/2018, In: ISPRS Journal of Photogrammetry and Remote Sensing. 140, p. 133-144 12 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  11. Auto-balanced filter pruning for efficient convolutional neural networks

    Ding, X., Ding, G., Han, J. & Tang, S., 27/04/2018, THE THIRTY-SECOND AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE THE THIRTIETH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE THE EIGHTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE.. AAAI, p. 6797-6804 8 p. (THE THIRTY-SECOND AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE THE THIRTIETH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE THE EIGHTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE.).

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

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