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Ritesh Ajoodha
Ritesh Ajoodha
Associate Professor at the University of the Witwatersrand.
在 wits.ac.za 的电子邮件经过验证 - 首页
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引用次数
引用次数
年份
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
442021
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
382020
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
382015
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
322022
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
242020
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
212020
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
172022
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
172021
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
172020
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
162020
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
132021
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
132018
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
132017
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
122022
A LSTM recurrent neural network for lightning flash prediction within southern africa using historical time-series data
Y Essa, R Ajoodha, HGP Hunt
2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering …, 2020
102020
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
102020
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
102020
Using machine learning techniques and matric grades to predict the success of first year university students
N Philippou, R Ajoodha, A Jadhav
2020 2nd international multidisciplinary information technology and …, 2020
102020
Predicting students performance in exams using machine learning techniques
K Sixhaxa, A Jadhav, R Ajoodha
2022 12th International Conference on Cloud Computing, Data Science …, 2022
92022
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
92021
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