Publications

Refereed/Peer-reviewed publications

Tamlin Love, Ritesh Ajoodha, and Benjamin Rosman. Should I Trust You? Incorporating Unreliable Expert Advice in Human-Agent Interaction. In Workshops at the Thirty-fifth Conference on Advances in Neural Information Processing Systems (NeurIPS 2021). https://nips.cc/.

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Eluwumi Buraimoh, Ritesh Ajoodha and Kershree Padayachee. Importance of Data Re-Sampling and Dimensionality Reduction in Predicting Students’ Success. The 3rd International Conference on Electrical, Communication, and Computer Engineering (ICECCE 2021) in association with IEEE at Kuala Lumpur, Malaysia on 12-13 June 2021. http://www.icecce.com/

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Yaseen Essa, Hugh Hunt, and Ritesh Ajoodha. Short-term Prediction of Lightning in Southern Africa using Autoregressive Machine Learning Techniques: A Univariate Comparison. The International IOT, Electronics and Mechatronics Conference (IEMTRONICS 2021) in association with IEEE Vancouver section, Vancouver, Canada. https://iemtronics.org/.  2021.

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Eluwumi Buraimoh, Ritesh Ajoodha and Kershree Padayachee. Application of Machine Learning Techniques to the Prediction of Student Success. The International IOT, Electronics and Mechatronics Conference (IEMTRONICS 2021) in association with IEEE Vancouver section, Vancouver, Canada.https://iemtronics.org/.  2021.

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Judith G. K. Mabunda, Ashwini Jadhav and Ritesh Ajoodha. A Review: Predicting Student Success at Various Levels of their Learning Journey in a Science Programme. The International IOT, Electronics and Mechatronics Conference (IEMTRONICS 2021) in association with IEEE Vancouver section, Vancouver, Canada. https://iemtronics.org/.  2021.

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Ndiatenda Ndou, Ritesh Ajoodha and Ashwini Jadhav. Music Genre Classification: A Review of Deep-Learning and Traditional Machine-Learning Approaches. The International IOT, Electronics and Mechatronics Conference (IEMTRONICS 2021) in association with IEEE Vancouver section, Vancouver, Canada. https://iemtronics.org/.  2021.

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Daniel T. Semwayo and Ritesh Ajoodha. A Causal Bayesian Network Model for Resolving Complex Wicked Problems. The International IOT, Electronics and Mechatronics Conference (IEMTRONICS 2021) in association with IEEE Vancouver section, Vancouver, Canada. https://iemtronics.org/.  2021.

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Judith Mabunda, Ashwini Jadhav, and Ritesh Ajoodha. Sentiment Analysis of Student Textual Feedback to Improve Teaching. IRTM 2021 (International conference on Interdisciplinary Research in Technology and Management in association with Taylor & Francis, Kolkata, India.

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Thabo Ramaano, Ritesh Ajoodha and Ashwini Jadhav. Different Models Relating Prior Computer Experience with Performance in First Year Computer Science. IRTM 2021 (International conference on Interdisciplinary Research in Technology and Management in association with Taylor & Francis, Kolkata, India.

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Daisy Chabumba, Ashwini Jadhav, and Ritesh Ajoodha. Predicting Telecommunication Customer Churn using Machine Learning Techniques. IRTM 2021 (International conference on Interdisciplinary Research in Technology and Management in association with Taylor & Francis, Kolkata, India.

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Eluwumi Buraimoh, Ritesh Ajoodha and Kershree Padayachee. Prediction of Student Success using Student Engagement with Learning Management System. IRTM 2021 (International conference on Interdisciplinary Research in Technology and Management in association with Taylor & Francis, Kolkata, India.

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Rudzani Mulaudzi and Ritesh Ajoodha. Improving the Performance of Multivariate Forecasting Models Through Feature Engineering: A South African Unemployment Rate Forecasting Case Study. IRTM 2021 (International conference on Interdisciplinary Research in Technology and Management in association with Taylor & Francis, Kolkata, India.

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Skhumbuzo Dube and Ritesh Ajoodha. Improving Library Book Retrieval by Using Topic Modeling. IRTM 2021 (International conference on Interdisciplinary Research in Technology and Management in association with Taylor & Francis, Kolkata, India.

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Yolanda Kanyama, Ritesh Ajoodha, Helen Seyler,  and Hlanganani Tutu. Application of Recurrent Neural Networks for Scenario Modelling of Groundwater Levels: A Case Study of the Grootfontein Aquifer. IRTM 2021 (International conference on Interdisciplinary Research in Technology and Management in association with Taylor & Francis, Kolkata, India.

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Darren Blackwell and Ritesh Ajoodha. A Bayesian Approach to Understanding the Influence of Traffic Congestion given the Road Structure. Sixth International Congress on Information and Communication Technology (6th ICICT 2021) SPRINGER.

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Dhevan S. Lau and Ritesh Ajoodha. Music Genre Classification: A Comparative Study Between Deep-Learning and Traditional Machine Learning Approaches. Sixth International Congress on Information and Communication Technology (6th ICICT 2021) SPRINGER.

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Rudzani Mulaudzi and Ritesh Ajoodha. Demonstration that the use of feature selection on high dimensional South African macroeconomic data results in improved performance with lower compute requirements. Sixth International Congress on Information and Communication Technology (6th ICICT 2021) SPRINGER.

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Tshepo Nkambule and Ritesh Ajoodha. Classification of Music by Genre using Probabilistic Graphical Models and Deep Learning Models. Sixth International Congress on Information and Communication Technology (6th ICICT 2021) SPRINGER.

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Tristan K. Nagan and Ritesh Ajoodha. Evaluating the Performance of Hybrid Quantum-Classical Convolutional Neural Networks on NISQ Devices. Sixth International Congress on Information and Communication Technology (6th ICICT 2021) SPRINGER.

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Marc Marsden and Ritesh Ajoodha. Algorithmic Music Composition using Probabilistic Graphical Models and Artificial Neural Networks. 2021 Southern African Universities Power Engineering Conference/ Robotics and Mechatronics/Pattern Recognition Association of South Africa (SAUPEC/ RobMech/ PRASA). Publisher: IEEE. Potchefstroom, South Africa, 2021, DOI: 10.1109/SAUPEC/RobMech/PRASA52254.2021.9377235. Electronic ISBN: 978-1-6654-0345-0. Print on Demand (PoD) ISBN: 978-1-6654-4788-1. https://ieeexplore.ieee.org/document/9377235

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Evans Thulare, Ritesh Ajoodha and Ashwini Jadhav. An Empirical Analysis and Application of the Expectation-Maximization and Matrix Completion Algorithms for Varying Degrees of Missing Data. 2021 Southern African Universities Power Engineering Conference/ Robotics and Mechatronics/ Pattern Recognition Association of South Africa (SAUPEC/ Rob-Mech/ PRASA). Publisher: IEEE. Potchefstroom, South Africa, 2021, DOI: 10.1109/SAUPEC/RobMech/PRASA52254. 2021.9377210. Electronic ISBN: 978-1-6654-0345-0. Print on Demand (PoD) ISBN: 978-1-6654-4788-1. https://ieeexplore.ieee.org/document/9377210

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Lonia Masangu, Aswhini Jadhav, and Ritesh Ajoodha. Predicting Student Academic Performance Using Data Mining Techniques. Advances in Science, Technology and Engineering Systems Journal. Special Issue on Multidisciplinary Sciences and Engineering. Volume 6, Issue 1, Page No 153-163, 2021. Adv. Sci. Technol. Eng. Syst. J. 6(1), 153-163 (2021); DOI: 10.25046/aj060117 https://astesj.com/v06/i01/p17/.

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Rudzani Mulaudzi and Ritesh Ajoodha. Application of deep learning to forecast the South African unemployment rate: a multivariate approach. 2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE). Publisher: IEEE. Gold Coast, Australia. DOI:10.1109/CSDE50874.2020.9411581. Electronic ISBN:978-1-6654-1974-1. Print on Demand(PoD) ISBN:978-1-6654-2991-7. https://ieeexplore.ieee.org/document/9411581

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Yaseen Essa, Ritesh Ajoodha and Hugh Hunt. Evaluation: A Long-Short-Term-Memory Recurrent Neural Network Model for Lightning Flash Prediction within Southern Africa using historical time-series data. 2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE). Publisher: IEEE. Gold Coast, Australia. DOI:10.1109/CSDE50874.2020.9411544. Electronic ISBN:978-1-6654-1974-1. Print

on Demand(PoD) ISBN:978-1-6654-2991-7. https://ieeexplore.ieee.org/document/9411544

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Lomthandazo Matsane, Ritesh Ajoodha, and Ashwini Jadhav. The use of Automatic Speech Recognition in education for identifying attitudes of the Speakers. 2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE). Publisher: IEEE. Gold Coast, Australia. DOI: 10.1109/CSDE50874.2020.9411528. Electronic ISBN:978-1-6654-1974-1. Print on Demand(PoD) ISBN:978-1-6654-2991-7. https://ieeexplore.ieee.org/document/9411528

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Yolanda Kanyama, Ritesh Ajoodha, Helen Seyler,  and Hlanganani Tutu. Application of Artificial Neural Networks to Forecast Discharge Rates: A Case Study of the Grootfontein Aquifer. 2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE). Publisher: IEEE. Gold Coast, Australia. pp. 1-6. DOI:10.1109/CSDE50874.2020.9411554. Electronic ISBN:978-1-6654-1974-1. Print on Demand(PoD) ISBN:978-1-6654-2991-7. https://ieeexplore.ieee.org/document/9411554

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Ritesh Ajoodha and Benjamin Rosman. Discovery of Influence between Processes Represented by Hidden Markov Models. The International IOT, Electronics and Mechatronics Conference (IEMTRONICS 2020) in association with IEEE Vancouver section, Vancouver, Canada. https://ieeexplore.ieee.org/document/9216439. DOI: 10.1109/IEMTRONICS51293.2020.9216439. Electronic ISBN: 978-1-7281-9615-2. Print on Demand (PoD) ISBN: 978-1-7281-9616-9.

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Yolanda Kanyama, Ritesh Ajoodha, Helen Seyler, Ndivhuwo Makondo, and Hlanganani Tutu. Application of Machine Learning Techniques in Forecasting Groundwater Levels in the Grootfontein Aquifer. The International Multidisciplinary Information Technology and Engineering Conference, Kimberley, South Africa, 2020, pp. 1-8, DOI: 10.1109/IMITEC50163.20 20.9334142, Electronic ISBN:978-1-7281-9520-9, Print on Demand (PoD), ISBN:978-1-7281-9521-6 https://ieeexplore.ieee.org/document/9334142.

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Nastassja Philippou, Ritesh Ajoodha, and Ashwini Jadhav. Using Machine Learning Techniques and Matric Grades to Predict the Success of First Year University Students. The International Multidisciplinary Information Technology and Engineering Conference, Kimberley, South Africa, 2020, pp. 1-5, DOI: 10.1109/IMITEC50163.2020.9334087, Electronic ISBN:978-1-7281-9520-9, Print on Demand (PoD), ISBN:978-1-7281-9521-6 https://ieeexplore.ieee.org/document/9334087.

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Ndiatenda Ndou, Ritesh Ajoodha, and Ashwini Jadhav. A Case Study: Educational Data mining to Determine Student Success at Higher Education Institutions. The International Multidisciplinary Information Technology and Engineering Conference, Kimberley, South Africa, 2020, pp. 1-8, doi: 10.1109/IMITEC50163.2020.9334139, Electronic ISBN:978-1-7281-9520-9, Print on Demand (PoD), ISBN:978-1-7281-9521-6 https://ieeexplore.ieee.org/document/9334139.

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Rudzani Mulaudzi and Ritesh Ajoodha. An Exploration of Machine Learning Models to Forecast the Unemployment Rate of South Africa: A Univariate Approach. The International Multidisciplinary Information Technology and Engineering Conference, Kimberley, South Africa, 2020, pp. 1-7, doi: 10.1109/IMITEC50163.2020.9334090, Electronic ISBN:978-1-7281-9520-9, Print on Demand (PoD), ISBN:978-1-7281-9521-6 https://ieeexplore.ieee.org/document/9334090.

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Noluthando Mngadi, Ritesh Ajoodha, and Ashwini Jadhav. A Conceptual Model to Identify Vulnerable Undergraduate Learners at Higher-Education Institutions. The International Multidisciplinary Information Technology and Engineering Conference (IMITEC), Kimberley, South Africa, 2020, pp. 1-8, DOI: 10.1109/IMITEC50163.2020.9334103, Electronic ISBN:978-1-7281-9520-9, Print on Demand (PoD), ISBN:978-1-7281-9521-6 https://ieeexplore.ieee.org/document/9334103.

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Ritesh Ajoodha, Shalini Dukhan, and Ashwini Jadhav. Data-driven Student Support for Academic Success by Developing Student Skill Profiles. The International Multidisciplinary Information Technology and Engineering Conference, Kimberley, South Africa, 2020, pp. 1-8, DOI: 10.1109/IMITEC50163.2020.9334109, Electronic ISBN:978-1-7281-9520-9, Print on Demand (PoD), ISBN:978-1-7281-9521-6 https://ieeexplore.ieee.org/document/9334109.

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Ndiatenda Ndou, Ritesh Ajoodha, and Ashwini Jadhav. A Case Study to Enhance Student Support Initiatives Through Forecasting Student Success in Higher-Education. Advances in Science, Technology and Engineering Systems Journal. Special Issue on Innovation in Computing, Engineering Sciences & Technology. Volume 6, Issue 1, Page No 230-241, 2021. Adv. Sci. Technol. Eng. Syst. J. 6(1), 230-241 (2021); DOI: 10.25046/aj060126 https://astesj.com/v06/i01/p26/.

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Gcobisile Matafeni and Ritesh Ajoodha. Using Big Data Analytics to Predict Learner Attrition based on First Year Marks at a South African University. Advances in Science, Technology and Engineering Systems Journal. Special Issue on Multidisciplinary Sciences and Engineering. Volume 5, Issue 5, Page No 920-926, 2020. Adv. Sci. Technol. Eng. Syst. J. 5(5), 920-926 (2020); DOI: 10.25046/aj0505112 https://astesj.com/v05/i05/p112/

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Ritesh Ajoodha and Benjamin Rosman. Learning the Influence between Partially Observable Processes using Score-based Structure Learning. Advances in Science, Technology and Engineering Systems Journal. Special Issue on Multidisciplinary Sciences and Engineering. Volume 5, Issue 5, Page No 16-23, 2020. DOI: 10.25046/aj050503. https://astesj.com/v05/i05/p03

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Ritesh Ajoodha, Ashwini Jadhav, and Shalini Dukhan. Forecasting Learner Attrition for Student Success at a South African University. Association for Computing Machinery. In Conference of the South African Institute of Computer Scientists and Information Technologists 2020 (SAICSIT ’20), September 14–16, 2020, Cape Town, South Africa. ACM, New York, NY, USA, 10 pages. pages: 19-28. DOI: 10.1145/3410886.3410973. https://doi.org/10.1145/3410886.3410973

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Tamlin Love and Ritesh Ajoodha. Building Undirected Influence Ontologies Using Pairwise Similarity Functions. International SAUPEC/RobMech/PRASA Conference, Cape Town, South Africa, 2020, pp. 1-6, doi: 10.1109/SAUPEC/RobMech/ PRASA48453.2020.9040984. Electronic ISBN:978-1-7281-4162-6, Print on Demand (PoD), ISBN:978-1-7281-4163-3 https://ieeexplore.ieee.org/document/9040984.

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Tasneem Abed, Ritesh Ajoodha, and Ashwini Jadhav. A Prediction Model to Improve Student Placement at a South African Higher Education Institution. 2020 International SAUPEC/RobMech/PRASA Conference, Cape Town, South Africa, 2020, pp. 1-6, doi: 10.1109/SAUPEC/RobMech/PRASA48453.2020.9041147. Electronic ISBN: 978-1-7281-4162-6, Print on Demand (PoD), ISBN: 978-1-7281-4163-3 https://ieeexplore.ieee.org/document/9041147.

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Ritesh Ajoodha and Benjamin Rosman. Advancing Intelligent Systems by Learning the Influence Structure between Partially Observed Stochastic Processes using IoT Sensor Data. AAAI SmartIoT: AI Enhanced IoT Data Processing for Intelligent Applications, New Orleans Riverside, New Orleans, Lousiana, USA., May 2018. https://aaai.org/ocs/index.php/WS/AAAIW18/paper/download/16840/15567.

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Ritesh Ajoodha and Benjamin Rosman. Tracking Influence between Naive Bayes Models using Score-Based Structure Learning. The Pattern Recognition Association of South Africa (PRASA). DOI: 10.1109/RoboMech.2017.8261134 https://ieeexplore.ieee.org/document/8261134.

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Ritesh Ajoodha, Richard Klein, Marija Jakovljevic. Using Statistical Models and Evolutionary Algorithms in Algorithmic Music Composition. In Khosrow-Pour Mehdi, editor, The Encyclopedia of Information Science and Technology, 3rd edition, IGI Global: International Publisher of Progressive Academic Research Books and Journals. Volume 10, Number doi:10.4018/978-1-4666-5888-2, pages e37893, Hershey, Pennsylvania, United States. 2015. https://www.igi-global.com/book/encyclopedia-information-science-technology-third/76156.

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Ritesh Ajoodha, Richard Klein, Benjamin Rosman. Single-labelled Music Genre Classification using Content-based Features. Pattern Recognition Association of South Africa, IEEE. Port Elizabeth, South Africa. DOI: 10.1109/RoboMech .2015.7359500.  https://ieeexplore.ieee.org/document/7359500.

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Dissertations and Theses

Rudzani Mulaudzi. A Machine Learning Approach to Quantifying and Relating the Determinants of Unemployment in South Africa. MSc Dissertation. Supervised by Dr. Ritesh Ajoodha. The University of the Witwatersrand, South Africa. 2021. Data Link:  https://drive.google.com/drive/folders/1XkEJBryoZd3rh-9VwRElw34sh6nJuwT1 (Degree awarded with Distinction)

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Yolanda Kanyama. Application of machine learning techniques in predicting groundwater levels and discharge rates in the North West aquifers. MSc Dissertation. Supervised by Dr. Ritesh Ajoodha and Dr. Hlanganani Tutu. The University of the Witwatersrand, South Africa. 2021. https://github.com/yolanda345/Master-s-thesis-.git (Degree awarded with Distinction)

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Eluwumi Folake Buraimoh. Predicting Student Success Using Student Engagement in the Online Component of a Blended-Learning Course. MSc Mini-dissertation. Supervised by Dr. Ritesh Ajoodha and Dr. Kershree Padayachee. The University of the Witwatersrand, South Africa. 2021. http://wiredspace.wits.ac.za/

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Noluthando Mngadi. A Theoretical Model to Predict Undergraduate Learner Attrition using Background, Individual, and Schooling Attributes. MSc Mini-dissertation. Supervised by Dr. Ritesh Ajoodha. The University of the Witwatersrand, South Africa. 2020. http://wiredspace.wits.ac.za/handle/10539/31091 (Degree awarded with Distinction)

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Evans Molahlegi Thulare. An Empirical Analysis and Application of the Expectation-Maximization and Matrix Completion Algorithms for Varying Degrees of Missing Data. MSc Mini-dissertation. Supervised by Dr. Ritesh Ajoodha. The University of the Witwatersrand, South Africa. 2020. http://wiredspace.wits.ac.za.

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Macdaline Raisibe Mathye. A Theoretical Model To Predict Undergraduate Attrition Based On Background And Enrollment Characteristics.  MSc Mini-dissertation. Supervised by Dr. Ritesh Ajoodha. The University of the Witwatersrand, South Africa. 2020. http://wiredspace.wits.ac.za/handle/10539/30996

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Ritesh Ajoodha. Influence Modelling and Learning between Dynamic Bayesian Networks using Score-based Structure Learning. Ph.D. Thesis. Supervised by Dr. B. Rosman. The University of the Witwatersrand, South Africa. 2018. http://wiredspace.wits.ac.za/handle/10539/25760.

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Ritesh Ajoodha. Automatic Music Genre Classification. Masters Dissertation. Supervised by Dr. B. Rosman and Dr. R Klein. The University of the Witwatersrand, South Africa. 2016.  http://wiredspace.wits.ac.za/handle/10539/18554 (Degree awarded with Distinction)

Ritesh Ajoodha. Context-free Grammars, Gaussian Distributions and Evolutionary Algorithms in Algorithmic Music Composition. Research Report. Supervised by Dr. R. Klein. The University of the Witwatersrand, South Africa. 2015. 

Research Reports

Darren Kevin Blackwell. A Bayesian Approach to Understanding the Influence of Traffic Congestion given the Road Structure. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Dr. Ritesh Ajoodha. 2020.

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Dhevan Stephen Lau. Music Genre Classification: A Comparative Study Between Deep-Learning And Traditional Machine Learning Approaches. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Dr. Ritesh Ajoodha. 2020.

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Marc Marsden. Algorithmic Music Composition Using Probabilistic Graphical Models and Artificial Neural Networks. Big Data Analytics. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Dr. Ritesh Ajoodha. 2020.

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Nastassja Jacqueline Philippou. Using Machine Learning Techniques and Matric Grades to Predict the Success of First Year University Students. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Dr. Ritesh Ajoodha and Dr. Ashwini Jadhav. 2020.

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Ndiatenda Ndou. A Case Study to Enhance Student Support Initiatives through Forecasting Student Success in Higher-Education. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Dr. Ritesh Ajoodha and Dr. Ashwini Jadhav. 2020.

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Skhumbuzo Salmon Dube. Improving Library Book Retrieval By Using Topic Modeling. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Dr. Ritesh Ajoodha. 2020.

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Thabo Victor Ramaano. Different Models Relating Prior Computer Experience with Performance in First Year Computer Science. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Dr. Ritesh Ajoodha and Dr. Ashwini Jadhav. 2020.

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Tristan K. Nagan. Evaluating the Performance of Hybrid Quantum-Classical Convolutional Neural Networks on NISQ Devices. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Dr. Ritesh Ajoodha. 2020.

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Tshepo Nkambule. Classification of Music by Genre using Probabilistic Models and Deep Learning Models. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Dr. Ritesh Ajoodha. 2020.

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Harmony Mncube. Predicting student Performance using first year marks. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Dr. Ritesh Ajoodha. 2020.

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Tasneem Abed. A Programme recommendation engine: Predicting student performance in Degrees. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Dr. Ritesh Ajoodha and Dr. Ashwini Jadhav. 2019.

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Jared Naidoo. Identifying at risk students using Biographical and Enrolment observations in the Earth Sciences. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Dr. Ritesh Ajoodha. 2019.

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Prince Ngema. Predicting student performance using Enrolment Figures. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Dr. Ritesh Ajoodha. 2019.

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Luyanda Makhoba. Using Psychometric Data and matric marks to recommend suitability for a degree. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Dr. Ritesh Ajoodha. 2019.

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Tamlin Love. Building Bayesian Influence Ontologies. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Dr. Ritesh Ajoodha. 2019.

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Uvir Bhagirathi. Automatic Venue Allocation. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Dr. Ritesh Ajoodha. 2018.

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Vaughn Ho. Content-based Music Recommendation Using Probabilistic Models. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Dr. Ritesh Ajoodha. 2017.

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Gcobisile Matafeni. Predicting the Completion of a Student's Science Degree based only on their First-year Marks. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Dr. Ritesh Ajoodha. 2017.

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Jettiniel Chepiri. Automatic Labelling of Student Results as PCD, RET, MBR and MRNM. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Dr. Ritesh Ajoodha. 2017.

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