Ritesh Ajoodha
Title
Cited by
Cited by
Year
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
192015
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
102020
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
92020
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
92017
Using statistical models and evolutionary algorithms in algorithmic music composition
R Ajoodha, R Klein, M Jakovljevic
Encyclopedia of Information Science and Technology, Third Edition, 6050-6062, 2015
92015
Influence modelling and learning between dynamic bayesian networks using score-based structure learning
R Ajoodha
82018
Learning the influence structure between partially observed stochastic processes using IoT sensor data
R Ajoodha, BS Rosman
AAAI, 2018
82018
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
72017
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
32020
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
32020
Automatic music genre classification
R Ajoodha
22015
Demonstration that the Use of Feature Selection on High Dimensional South African Macroeconomic Data Results in Improved Performance with Lower Compute Requirements
R Mulaudzi, R Ajoodha
Sixth International Congress on Information and Communication Technology …, 0
2
Application of Artificial Neural Networks to Forecast River Discharge Rates: A Case Study of the Grootfontein Aquifer
Y Kanyama, R Ajoodha, H Seyler, H Tutu
2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering …, 2020
12020
Music Genre Classification: A Comparative Study Between Deep-Learning And Traditional Machine Learning Approaches
DS Lau, R Ajoodha
12020
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
12020
Building Undirected Influence Ontologies Using Pairwise Similarity Functions
T Love, R Ajoodha
2020 International SAUPEC/RobMech/PRASA Conference, 1-6, 2020
12020
Learning the influence between partially observable processes using score-based structure learning
R Ajoodha, B Rosman
structure 21 (22), 23-24, 2020
12020
Improving the Performance of Multivariate Forecasting Models through Feature Engineering: a South African Unemployment Rate Forecasting Case Study
R Mulaudzi, R Ajoodha
2021 International Conference On Interdisciplinary Research in Technology …, 0
1
An Empirical Analysis and Application of the Expectation-Maximization and Matrix Completion Algorithms for Varying Degrees of Missing Data
E Thulare, R Ajoodha, A Jadhav
2021 Southern African Universities Power Engineering Conference/Robotics and …, 2021
2021
Algorithmic Music Composition Using Probabilistic Graphical Models and Artificial Neural Networks
M Marsden, R Ajoodha
2021 Southern African Universities Power Engineering Conference/Robotics and …, 2021
2021
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