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Waheeda Saib
Waheeda Saib
Leiden University and IBM Quantum, IBM Research-Africa
Verified email at za.ibm.com - Homepage
Title
Cited by
Cited by
Year
The effect of noise on the performance of variational algorithms for quantum chemistry
W Saib, P Wallden, I Akhalwaya
2021 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2021
92021
Hierarchical deep learning classification of unstructured pathology reports to automate ICD-O morphology grading
W Saib, T Chiwewe, E Singh
arXiv preprint arXiv:2009.00542, 2020
92020
Hierarchical deep learning ensemble to automate the classification of breast cancer pathology reports by icd-o topography
W Saib, D Sengeh, G Dlamini, E Singh
arXiv preprint arXiv:2008.12571, 2020
82020
Abstract A11: A deep learning approach for extracting clinically relevant information from pathology reports
WB Saib, P Kumar, G Siwo, G Dlamini, E Singh, S Candy, M Klipin
Cancer Research 77 (22_Supplement), A11-A11, 2017
22017
Adversarial data generation for virtual settings
C Cintas, WB Saib, GA Tadesse, A Walcott
US Patent App. 17/685,350, 2023
12023
Benchmarking Adaptive Quantum Circuit Optimization Algorithms for Quantum Chemistry
W Saib, X Bonet-Monroig, V Dunjko, I Tavernelli, T Bäck, H Wang
2023 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2023
2023
Practical ML for Developing Countries: learning under limited/low resource scenarios
E Bekele, WB Saib, MA Hailemariam, T Gebru, J Wawira, C Cintas
International Conference on Learning Representations, 2022
2022
Co-design of Quantum Circuit Architectures for Quantum Chemistry
WB Saib, K Choo, D Miller, I Tavernelli
Quantum Information Processing Conference, 2022
2022
The Effect of Noise on the Optimality of Variational Algorithms for Quantum Chemistry
WB Saib, I Akhalwaya, P Wallden
IEEE International Conference on Quantum Computing and Engineering, 2021
2021
Practical Machine Learning for Developing Countries
WB Saib, MA Hailemariam, E Bekele, J Wawira, V Marivate, T Gebru
International Conference on Learning Representations, 2021
2021
The effect of noise on the optimality of hardware efficient ansatz in VQE for small molecules
W Saib, P Wallden, I Akhalwaya
American Chemical Society (ACS) Spring Meeting, 2021
2021
The effect of noise on the optimality of hardware efficient ansatz in VQE for small molecules
Saib, W., Wallden, P. and Akhalwaya, I.
ACS Spring 2021, 2021
2021
Towards verifying results from biomedical deep learning models using the UMLS: Cases of primary tumor site classification and cancer Named Entity Recognition
J Byamugisha, W Saib, T Gaelejwe, A Jeewa, M Molapo
CLINICAL CANCER RESEARCH 27 (5), 2021
2021
Abstract PR-12: Towards verifying results from biomedical deep learning models using the UMLS: Cases of primary tumor site classification and cancer Named Entity Recognition
J Byamugisha, W Saib, T Gaelejwe, A Jeewa, M Molapo
Clinical Cancer Research 27 (5_Supplement), PR-12-PR-12, 2021
2021
Towards Verifying Results from Biomedical NLP Machine Learning Models Using the UMLS: Cases of Classification and Named Entity Recognition
W Saib, J Byamugisha, M Molapo, T Gaelejwe, A Jeewa
AAAI Conference on Artificial Intelligence, 2021
2021
Towards Verifying Results from Biomedical NLP Machine Learning Models Using the UMLS: Cases of Classification and Named Entity Recognition
J Byamugisha, W Saib, T Gaelejwe, A Jeewa, M Molapo
2020
5th Workshop on practical ML for limited/low resource settings (PML4LRS)@ ICLR 2024
E Bekele, M Shingange, A Alaagib, W Saib, M Hailemariam, T Gebru, ...
ICLR 2024 Workshops, 0
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Articles 1–17