| Deep learning for SARS COV-2 genome sequences A Whata, C Chimedza Ieee Access 9, 59597-59611, 2021 | 49 | 2021 |
| The screening of emerging micropollutants in wastewater in sol plaatje municipality, northern cape, South Africa AE Oluwalana, T Musvuugwa, ST Sikwila, JS Sefadi, A Whata, MM Nindi, ... Environmental Pollution 314, 120275, 2022 | 18 | 2022 |
| Evaluating uses of deep learning methods for causal inference A Whata, C Chimedza IEEE Access 10, 2813-2827, 2022 | 11 | 2022 |
| A machine learning evaluation of the effects of south africa’s covid-19 lockdown measures on population mobility A Whata, C Chimedza Machine Learning and Knowledge Extraction 3 (2), 481-506, 2021 | 7 | 2021 |
| A scoping review of the “at-risk” student literature in higher education C Chibaya, A Whata, K Madzima, G Rudolph, S Verkijika, L Makhoere, ... bioRxiv, 2022.07. 06.499019, 2022 | 6 | 2022 |
| Monitoring urban dynamics using time-series satellite imagery in Dodoma, Tanzania TH Kabanda, A Whata African Geographical Review 43 (2), 350-365, 2024 | 2 | 2024 |
| Statistical approaches to identifying significant differences in predictive performance between machine learning and classical statistical models for survival data JB Nasejje, A Whata, C Chimedza Plos one 17 (12), e0279435, 2022 | 2 | 2022 |
| A comparative modeling and comprehensive binding site analysis of the south african beta COVID-19 variant’s spike protein structure TN Michael, IC Obagbuwa, A Whata, K Madzima Advanced AI and internet of health things for combating pandemics, 383-394, 2023 | 1 | 2023 |
| Assessing the Credibility of South Africa's Anti-Retroviral Treatment (ART) Eligibility Guidelines using Regression Discontinuity Designs K Sibanda, T Gundu, A Whata 2020 2nd International Multidisciplinary Information Technology and …, 2020 | 1 | 2020 |
| Adapting and evaluating deep-pseudo neural network for survival data with time-varying covariates A Whata, JB Nasejje, N Nakhaei Rad, T Mulaudzi, DG Chen Journal of Applied Statistics, 1-24, 2024 | | 2024 |
| Uncertainty quantification in multi-class image classification using chest X-ray images of COVID-19 and pneumonia A Whata, K Dibeco, K Madzima, I Obagbuwa Frontiers in Artificial Intelligence 7, 1410841, 2024 | | 2024 |
| Estimating Average and Individual Treatment Effects in the Presence of Time-Dependent Covariates T Kgoale, A Whata, JB Nasejje, NN Rad, T Mulaudzi Biostatistics Modeling and Public Health Applications, 119-138, 2024 | | 2024 |
| Application of ConvNeXt with Transfer Learning and Data Augmentation for Malaria Parasite Detection in Resource-Limited Settings Using Microscopic Images OP Mmileng, A Whata, M Olusanya, S Mhlongo medRxiv, 2024.10. 31.24316549, 2024 | | 2024 |
| An Ontology Based Knowledge Representation for Coordinated SS-bots C Chibaya, S Verkijika, K Madzima, L Makhoere, F Matsebula, A Mwanza, ... International Conference on Intelligent and Innovative Computing …, 2022 | | 2022 |
| Credibility of Causal Estimates from Regression Discontinuity Designs with Multiple Assignment Variables A Whata, C Chimedza Stats 4 (4), 893-915, 2021 | | 2021 |
| Statistical and Deep Learning Methods in Causal Inference A Whata PQDT-Global, 2021 | | 2021 |
| A Comparative Modeling and Com-prehensive Binding Site Analysis of the South African Beta COVID-19 Variant’s Spike Protein Structure TN Michael, IC Obagbuwa, A Whata, K Madzima | | |
| XAI-Driven Comparative Analysis of Machine Learning Models for Predicting HIV Viral Suppression in Ugandan Patients F Ngema, A Whata, M Olusanya, S Mhlongo | | |
Charles ChimedzaUniversity of the Witwatersrandwits.ac.za의 이메일 확인됨