Learning the Influence Structure between Partially Observed Stochastic Processes Using IoT Sensor Data. - Ritesh Ajoodha; Benjamin Rosman (AAAI Workshops, 2018)

Forecasting Learner Attrition for Student Success at a South African University. - Ritesh Ajoodha; Ashwini Jadhav; Shalini Dukhan (SAICSIT, 2020)

Identifying academically vulnerable learners in first-year science programmes at a South African higher-education institution. - Ritesh Ajoodha (South Afr. Comput. J., 2022)

Deep Learning Prediction of Thunderstorm Severity Using Remote Sensing Weather Data. - Yaseen Essa; Hugh G. P. Hunt; Morné Gijben; Ritesh Ajoodha (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Enhancing Timely Graduations: An Explainable AI Approach to Predict Academic Risks in South African Students. - Lenny Bokgoshi; Khanyisile Sixhaxa; Ashwini Jadhav; Seipati Nyamane; Ritesh Ajoodha (ICECET, 2023)

Exploring the Effectiveness of Deep Learning Object Detectors for Multi-Class Road Target Detection in Autonomous Driving. - Sibongakonke Kubheka; Ritesh Ajoodha (ICECET, 2023)

Bridging the Gap: Real-Time Detection and Interpretation of Sign Language Using Convolutional Neural Networks. - Christopher Walley; Ritesh Ajoodha (ICECET, 2023)

Who should I trust? Cautiously learning with unreliable experts. - Tamlin Love; Ritesh Ajoodha; Benjamin Rosman (Neural Comput. Appl., 2023)