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Sheikh Jubair
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2020 – today
- 2024
- [i1]Michael E. Todhunter, Sheikh Jubair, Ruchika Verma, Rikard Saqe, Kevin Shen, Breanna Duffy:
Artificial intelligence and machine learning applications for cultured meat. CoRR abs/2407.09982 (2024) - 2023
- [b1]Sheikh Jubair:
Deep learning for genomic selection. University of Manitoba, Winnipeg, Canada, 2023 - [j3]Sahand Somi, Sheikh Jubair
, David Cooper, Peng Wang:
XGSleeve: detecting sleeve incidents in well completion by using XGBoost classifier. Frontiers Artif. Intell. 6 (2023) - [c3]Mara Cairo, Bevin Eldaphonse, Payam Mousavi, Sahir, Sheikh Jubair, Matthew E. Taylor, Graham Doerksen, Nikolai Kummer, Jordan Maretzki, Gupreet Mohhar, Sean Murphy, Johannes Günther, Laura Petrich, Talat Syed:
Multi-Robot Warehouse Optimization: Leveraging Machine Learning for Improved Performance. AAMAS 2023: 3047-3049 - 2022
- [j2]Sheikh Jubair
, Mike Domaratzki
:
Crop genomic selection with deep learning and environmental data: A survey. Frontiers Artif. Intell. 5 (2022) - 2020
- [j1]Sheikh Jubair
, Abedalrhman Alkhateeb
, Ashraf Abou Tabl
, Luis Rueda
, Alioune Ngom
:
A novel approach to identify subtype-specific network biomarkers of breast cancer survivability. Netw. Model. Anal. Health Informatics Bioinform. 9(1): 43 (2020)
2010 – 2019
- 2019
- [c2]Sheikh Jubair
, Michael Domaratzki:
Ensemble supervised learning for genomic selection. BIBM 2019: 1993-2000 - 2018
- [c1]Sheikh Jubair, Luis Rueda, Alioune Ngom:
Identifying suutype specific network-Uiomarkers of breast cancer survivauility. IJCNN 2018: 1-9
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last updated on 2024-08-16 18:31 CEST by the dblp team
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