Ritesh Ajoodha

Ritesh Ajoodha

University of the Witwatersrand

H-index: 12

Africa-South Africa

About Ritesh Ajoodha

Ritesh Ajoodha, With an exceptional h-index of 12 and a recent h-index of 12 (since 2020), a distinguished researcher at University of the Witwatersrand, specializes in the field of Explainable AI, Probabilistic Graphical Models, Structured Decision Problems.

His recent articles reflect a diverse array of research interests and contributions to the field:

Using Numerous Biographical and Enrolling Observations to Predict Student Performance

Enhancing Timely Graduations: An Explainable AI Approach to Predict Academic Risks in South African Students

Bridging the Gap: Real-Time Detection and Interpretation of Sign Language Using Convolutional Neural Networks

Enhancing Human Expression Classification using Local Binary Patterns and Support Vector Machines with RBF Kernel in Convolutional Neural Networks

Exploring the Effectiveness of Deep Learning Object Detectors for Multi-Class Road Target Detection in Autonomous Driving

Enhancing Book Classification Efficiency: A Comparative Analysis of Technology-Driven Approaches

Who should I trust? Cautiously learning with unreliable experts

Exploring Convolutional Neural Networks for Accurate Medicinal Plant Classification Using Leaf Image Features

Ritesh Ajoodha Information

University

Position

Department of Computer Computer Science

Citations(all)

440

Citations(since 2020)

421

Cited By

90

hIndex(all)

12

hIndex(since 2020)

12

i10Index(all)

15

i10Index(since 2020)

15

Email

University Profile Page

University of the Witwatersrand

Google Scholar

View Google Scholar Profile

Ritesh Ajoodha Skills & Research Interests

Explainable AI

Probabilistic Graphical Models

Structured Decision Problems

Top articles of Ritesh Ajoodha

Title

Journal

Author(s)

Publication Date

Using Numerous Biographical and Enrolling Observations to Predict Student Performance

Mpho Mendy Nefale

Ritesh Ajoodha

2023/4/15

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

2023/11/16

Bridging the Gap: Real-Time Detection and Interpretation of Sign Language Using Convolutional Neural Networks

Christopher Walley

Ritesh Ajoodha

2023/11/16

Enhancing Human Expression Classification using Local Binary Patterns and Support Vector Machines with RBF Kernel in Convolutional Neural Networks

Available at SSRN 4663400

Rushil Patel

Ritesh Ajoodha

2023/12/13

Exploring the Effectiveness of Deep Learning Object Detectors for Multi-Class Road Target Detection in Autonomous Driving

Sibongakonke Kubheka

Ritesh Ajoodha

2023/11/16

Enhancing Book Classification Efficiency: A Comparative Analysis of Technology-Driven Approaches

Available at SSRN 4663449

Ritesh Ajoodha

2023/12/13

Who should I trust? Cautiously learning with unreliable experts

Neural Computing and Applications

Tamlin Love

Ritesh Ajoodha

Benjamin Rosman

2023/8

Exploring Convolutional Neural Networks for Accurate Medicinal Plant Classification Using Leaf Image Features

Available at SSRN 4663441

Ritesh Ajoodha

Suraksha Motilal

Shalini Dukhan

2023/12/13

Crop Recommendation Using Machine Learning Algorithms and Soil Attributes Data

Ritesh Ajoodha

Takalani Orifha Mufamadi

2023/4/15

Predicting Academic Success in Blended Learning Environments: A Probabilistic Bayesian Approach Leveraging Student Trajectory Data

Available at SSRN 4663410

Seipati Nyamane

Ashwini Jadhav

Ritesh Ajoodha

2023/12/13

A Novel Feature-Based Music Recommendation System Considering the Uniqueness of Musical Items

Available at SSRN 4332853

Siphesihle Ndhlovu

Ritesh Ajoodha

2022/11/23

Deep learning prediction of thunderstorm severity using remote sensing weather data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Yaseen Essa

Hugh GP Hunt

Morné Gijben

Ritesh Ajoodha

2022/5/5

A Bayesian Approach to Understanding the Influence of Traffic Congestion Given the Road Structure

Darren Blackwell

Ritesh Ajoodha

2022

A Bayesian Approach to Determining Ground Strike Points in LLS Data

Wandile Lesejane

Hugh Hunt

Carina Schumann

Ritesh Ajoodha

2022/10/2

Predicting the Completion of a Science Degree Based on the First Year Marks at Higher Education Institutions

Prince Ngema

Ashwini Jadhav

Khanyisile Sixhaxa

Ritesh Ajoodha

2022/9/27

Mapping Chordal Progressions from the Magnitude Spectrum to Symbolic Notation

Available at SSRN 4332856

Erin Ollewagen

Ritesh Ajoodha

2022/11/23

Identifying academically vulnerable learners in first-year science programmes at a South African higher-education institution

South African Computer Journal

Ritesh Ajoodha

2022/12/1

Predicting students performance in exams using machine learning techniques

Khanyisile Sixhaxa

Ashwini Jadhav

Ritesh Ajoodha

2022/1/27

A CNN-Based Model to Forecast the South African Unemployment Rate

Babalwa Nhose

Rudzani Mulaudzi

Ritesh Ajoodha

2022/9/27

Evaluation of Student Skill-Sets as Predictors of Success at Higher Education Institutions

Luyanda Makhoba

Ashwini Jadhav

Khanyisile Sixhaxa

Ritesh Ajoodha

2022/9/27

See List of Professors in Ritesh Ajoodha University(University of the Witwatersrand)

Co-Authors

H-index: 23
Benjamin Rosman

Benjamin Rosman

University of the Witwatersrand

H-index: 10
Hugh Hunt

Hugh Hunt

University of the Witwatersrand

H-index: 7
Richard Klein

Richard Klein

University of the Witwatersrand

H-index: 6
Shalini Dukhan

Shalini Dukhan

University of the Witwatersrand

H-index: 1
Tasneem Abed

Tasneem Abed

University of the Witwatersrand

H-index: 1
Marc Marsden

Marc Marsden

University of the Witwatersrand

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