| Forecasting learner attrition for student success at a south african university R Ajoodha, A Jadhav, S Dukhan Conference of the South African Institute of Computer Scientists and …, 2020 | 39 | 2020 |
| Music genre classification: A review of deep-learning and traditional machine-learning approaches N Ndou, R Ajoodha, A Jadhav 2021 IEEE International IOT, Electronics and Mechatronics Conference …, 2021 | 37 | 2021 |
| Single-labelled music genre classification using content-based features R Ajoodha, R Klein, B and Rosman Pattern Recognition Association of South Africa and Robotics and …, 2015 | 37 | 2015 |
| Music genre classification: A comparative study between deep learning and traditional machine learning approaches DS Lau, R Ajoodha Proceedings of Sixth International Congress on Information and Communication …, 2022 | 28 | 2022 |
| A prediction model to improve student placement at a south african higher education institution T Abed, R Ajoodha, A Jadhav 2020 International SAUPEC/RobMech/PRASA Conference, 1-6, 2020 | 24 | 2020 |
| Educational data-mining to determine student success at higher education institutions N Ndou, R Ajoodha, A Jadhav 2020 2nd International Multidisciplinary Information Technology and …, 2020 | 17 | 2020 |
| Predicting student academic performance using data mining techniques L Masangu, A Jadhav, R Ajoodha Advances in Science, Technology and Engineering Systems Journal 6 (1), 153-163, 2021 | 15 | 2021 |
| Application of deep learning to forecast the South African unemployment rate: a multivariate approach R Mulaudzi, R Ajoodha 2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering …, 2020 | 15 | 2020 |
| An exploration of machine learning models to forecast the unemployment rate of South Africa: a univariate approach R Mulaudzi, R Ajoodha 2020 2nd international multidisciplinary information technology and …, 2020 | 15 | 2020 |
| Deep learning prediction of thunderstorm severity using remote sensing weather data Y Essa, HGP Hunt, M Gijben, R Ajoodha IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022 | 13 | 2022 |
| Classification of music by genre using probabilistic models and deep learning models T Nkambule, R Ajoodha Proceedings of Sixth International Congress on Information and Communication …, 2021 | 13 | 2021 |
| Learning the influence structure between partially observed stochastic processes using iot sensor data R Ajoodha, B Rosman Workshops at the thirty-second AAAI conference on artificial intelligence, 2018 | 13 | 2018 |
| Tracking influence between naïve bayes models using score-based structure learning R Ajoodha, B Rosman 2017 Pattern Recognition Association of South Africa and Robotics and …, 2017 | 13 | 2017 |
| Demonstration that the Use of Feature Selection on High Dimensional South African Macroeconomic Data Results in Improved Performance R Mulaudzi, R Ajoodha Proceedings of Sixth International Congress on Information and Communication …, 2022 | 12 | 2022 |
| Application of machine learning techniques in forecasting groundwater levels in the grootfontein aquifer Y Kanyama, R Ajoodha, H Seyler, N Makondo, H Tutu 2020 2nd International Multidisciplinary Information Technology and …, 2020 | 11 | 2020 |
| Data-driven student support for academic success by developing student skill profiles R Ajoodha, S Dukhan, A Jadhav 2020 2nd International Multidisciplinary Information Technology and …, 2020 | 10 | 2020 |
| A conceptual model to identify vulnerable undergraduate learners at higher-education institutions N Mngadi, R Ajoodha, A Jadhav 2020 2nd International Multidisciplinary Information Technology and …, 2020 | 9 | 2020 |
| Influence modelling and learning between dynamic bayesian networks using score-based structure learning R Ajoodha PhD. Thesis. The University of the Witwatersrand, Johannesburg, 2018 | 9 | 2018 |
| Identifying at-risk undergraduate students using biographical and enrollment observations for mathematical science degrees at a south african university R Ajoodha, A Jadhav International Journal of Science and Mathematics Education, 1-21, 2017 | 9 | 2017 |
| Short-term prediction of lightning in southern africa using autoregressive machine learning techniques Y Essa, HGP Hunt, R Ajoodha 2021 IEEE International IOT, Electronics and Mechatronics Conference …, 2021 | 8 | 2021 |
Benjamin RosmanProfessor at the University of the Witwatersrand, South AfricaEmail verificata su wits.ac.za
