Use of machine learning techniques to identify HIV predictors for screening in sub-Saharan Africa CK Mutai, PE McSharry, I Ngaruye, E Musabanganji BMC medical research methodology 21, 1-11, 2021 | 51 | 2021 |
Performance of machine learning classifiers in classifying stunting among under-five children in Zambia ON Chilyabanyama, R Chilengi, M Simuyandi, CC Chisenga, M Chirwa, ... Children 9 (7), 1082, 2022 | 34 | 2022 |
Small area estimation under a multivariate linear model for repeated measures data I Ngaruye, J Nzabanita, D Rosen, M Singull Communications in Statistics-Theory and Methods 46 (21), 10835-10850, 2017 | 17 | 2017 |
Ensemble empirical mode decomposition: a noise-assisted data analysis method M Shoman, A Aboah, Y Adu-Gyamfi, ÁP Correia, AK Suzuki, MLL Viola, ... Assessment 16 (01n02), 2024 | 12 | 2024 |
Early detection of students at risk of poor performance in Rwanda higher education using machine learning techniques E Masabo, J Nzabanita, I Ngaruye, C Ruranga, JP Nizeyimana, ... International Journal of Information Technology 15 (6), 3201-3210, 2023 | 12 | 2023 |
Crop yield estimation at district level for agricultural seasons 2014 in Rwanda I Ngaruye, D von Rosen, M Singull African Journal of Applied Statistics 3 (1), 69-90, 2016 | 11 | 2016 |
Ensemble empirical mode decomposition: A noise-assited NEH Zhaohua Wu Biomed. Tech 55, 193-201, 2010 | 10 | 2010 |
Comparing growth velocity of HIV exposed and non-exposed infants: An observational study of infants enrolled in a randomized control trial in Zambia ON Chilyabanyama, R Chilengi, NM Laban, M Chirwa, M Simunyandi, ... Plos one 16 (8), e0256443, 2021 | 7 | 2021 |
Asymptotic results for expected probability of misclassifications in linear discriminant analysis with repeated measurements E Kanuti Ngailo, I Ngaruye Communications in Statistics-Theory and Methods 53 (6), 1942-1963, 2024 | 4 | 2024 |
Compartmental mathematical modelling of dynamic transmission of COVID-19 in Rwanda L Mpinganzima, JM Ntaganda, W Banzi, JP Muhirwa, BK Nannyonga, ... IJID regions 6, 99-107, 2023 | 4 | 2023 |
Comparing Machine Learning Classifiers for Predicting Hospital Readmission of Heart Failure Patients in Rwanda T Rizinde, I Ngaruye, ND Cahill Journal of Personalized Medicine 13 (9), 1393, 2023 | 3 | 2023 |
Use of unsupervised machine learning to characterise HIV predictors in sub-Saharan Africa CK Mutai, PE McSharry, I Ngaruye, E Musabanganji BMC Infectious Diseases 23 (1), 482, 2023 | 3 | 2023 |
Big data analytics for predictive system maintenance using machine learning models P Ngwa, I Ngaruye Advances in Data Science and Adaptive Analysis 15 (01n02), 2350001, 2023 | 3 | 2023 |
Child stunting prevalence determination at sector level in Rwanda using small area estimation I Ngaruye, J Nzabanita, F Niragire, T Rizinde, J Nkurunziza, ... BMC nutrition 9 (1), 147, 2023 | 2 | 2023 |
Use of Machine Learning Techniques to Identify HIV Predictors for Screening PE McSharry, C Mutai, I Ngaruye, E Musabanganji | 2 | 2020 |
Mean-Squared errors of small area estimators under a multivariate linear model for repeated measures data I Ngaruye, DV Rosen, M Singull Communications in Statistics-Theory and Methods 48 (8), 2060-2073, 2019 | 2 | 2019 |
Small-area estimation with missing data using a multivariate linear random effects model I Ngaruye, D von Rosen, M Singull Japanese Journal of Statistics and Data Science 1, 23-37, 2018 | 2 | 2018 |
Effects of high school leavers’ characteristics on the academic performance in higher education: Empirical evidence from Rwanda J Nzabanita, I Ngaruye, C Ruranga, E Masabo, E Mutezimana, ... Journal of Somali Studies: Research on Somalia and the Greater Horn of …, 2022 | 1 | 2022 |
Small area estimation under a multivariate linear model for incomplete repeated measures data I Ngaruye, D Von Rosen, M Singull Linköping University Electronic Press, 2017 | 1 | 2017 |
Contributions to Small Area Estimation: Using Random Effects Growth Curve Model I Ngaruye Linköping University Electronic Press, 2017 | 1 | 2017 |