Research output per year
Research output per year
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Dive into the research topics where Yasir Ghunaim is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Machine learning for the advancement of membrane science and technology: A critical review
Ignacz, G., Bader, L., Beke, A. K., Ghunaim, Y., Shastry, T., Vovusha, H., Carbone, M. R., Ghanem, B. & Szekely, G., Jan 2025, In: Journal of Membrane Science. 713, 123256.Research output: Contribution to journal › Review article › peer-review
Open Access9 Scopus citations -
Leveraging 2D molecular graph pretraining for improved 3D conformer generation with graph neural networks
Alhamoud, K., Ghunaim, Y., Alshehri, A. S., Li, G., Ghanem, B. & You, F., Apr 2024, In: Computers and Chemical Engineering. 183, 108622.Research output: Contribution to journal › Article › peer-review
6 Scopus citations -
Online Distillation with Continual Learning for Cyclic Domain Shifts
Houyon, J., Cioppa, A., Ghunaim, Y., Alfarra, M., Halin, A., Henry, M., Ghanem, B. & Van Droogenbroeck, M., 2023, Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023. IEEE Computer Society, p. 2437-2446 10 p. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops; vol. 2023-June).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
6 Scopus citations -
Real-Time Evaluation in Online Continual Learning: A New Hope
Ghunaim, Y., Bibi, A., Alhamoud, K., Alfarra, M., Hammoud, H. A. A. K., Prabhu, A., Torr, P. H. S. & Ghanem, B., 2023, Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023. IEEE Computer Society, p. 11888-11897 10 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2023-June).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access30 Scopus citations
Press/Media
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Report Summarizes Machine Learning Study Findings from King Abdullah University of Science and Technology (KAUST) (Machine Learning for the Advancement of Membrane Science and Technology: a Critical Review)
Ghanem, B., Szekely, G., Ghunaim, Y., Beke, A. & Ignacz, G.
01/6/25
1 item of Media coverage
Press/Media: Press / Media