Sudi Murindanyi

According to our database, Sudi Murindanyi authored at least 10 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Machine Learning for Detection and Severity Estimation of Sweetpotato Weevil Damage in Field and Lab Conditions.

Doreen M. Chelangat, Sudi Murindanyi, Mugizi Bruce, Paul Musana, Benard Yada, Milton A. Otema, Florence Osaru, Andrew Katumba, Joyce Nakatumba-Nabende

CoRR, February, 2026

Intelligent Traffic Surveillance for Real-Time Vehicle Detection, License Plate Recognition, and Speed Estimation.

Mugizi Bruce, Sudi Murindanyi, Olivia Nakacwa, Andrew Katumba

CoRR, January, 2026

2025

PaliGemma-CXR: A Multi-task Multimodal Model for TB Chest X-ray Interpretation.

Denis Musinguzi, Andrew Katumba, Sudi Murindanyi

CoRR, March, 2025

Responsible Music Genre Classification Using Interpretable Model-Agnostic Visual Explainers.

Sudi Murindanyi, Kyamanywa Hamza, Sulaiman Kagumire, Ggaliwango Marvin

SN Comput. Sci., January, 2025

Deep learning for accurate B-line detection and localization in lung ultrasound imaging.

Nixson Okila, Andrew Katumba, Joyce Nakatumba-Nabende, Cosmas Mwikirize, Sudi Murindanyi, Jonathan Serugunda, Samuel Bugeza, Anthony Oriekot, Juliet Bossa, Eva Nabawanuka

Frontiers Artif. Intell., 2025

2024

Enhanced Infield Agriculture with Interpretable Machine Learning Approaches for Crop Classification.

Sudi Murindanyi, Joyce Nakatumba-Nabende, Rahman Sanya, Rose Nakibuule, Andrew Katumba

CoRR, 2024

Luganda Speech Intent Recognition for IoT Applications.

Andrew Katumba, Sudi Murindanyi, John Trevor Kasule, Elvis Mugume

CoRR, 2024

Machine Learning Analysis of Radio Data to Uncover Community Perceptions on the Ebola Outbreak in Uganda.

Joyce Nakatumba-Nabende, Jonathan Mukiibi, Tobius Saul Bateesa, Sudi Murindanyi, Andrew Katumba, Chodrine Mutebi

ACM J. Comput. Sustain. Soc., 2024

2023

Explainable Machine Learning Models for Swahili News Classification.

Sudi Murindanyi, Brian Afedra Yiiki, Andrew Katumba, Joyce Nakatumba-Nabende

Proceedings of the 2023 7th International Conference on Natural Language Processing and Information Retrieval, 2023

Explainable Ensemble Learning and Trustworthy Open AI for Customer Engagement Prediction in Retail Banking.

Sudi Murindanyi, Margaret Nagwovuma, Barbara Nansamba, Ggaliwango Marvin

Proceedings of the 2023 Fifteenth International Conference on Contemporary Computing, 2023