Building Text‐to‐Speech Models for Low‐Resourced Languages From Crowdsourced Data
A. Katumba, S. Kagumire, J. Nakatumba‐Nabende, J. Quinn, S. Murindanyi
Applied AI Letters, 2025
Publications
You can also find my articles on my Google Scholar profile.
Journal Articles
11 Published
PaliGemma-CXR: a multi-task multimodal model for tuberculosis chest X-ray interpretation
D. Musinguzi, A. Katumba, S. Murindanyi, J. Nakatumba-Nabende, et al.
BMC Artificial Intelligence, 2025
A curated crowdsourced dataset of Luganda and Swahili speech for text-to-speech synthesis
A. Katumba, S. Kagumire, J. Nakatumba-Nabende, J. Quinn, S. Murindanyi
Data in Brief, 2025
Deep learning models for enhanced in-field maize leaf disease diagnosis
J. Nakatumba-Nabende, S. Murindanyi
Machine Learning with Applications, 2025
Deep learning for accurate B-line detection and localization in lung ultrasound imaging
N. Okila, A. Katumba, J. Nakatumba-Nabende, C. Mwikirize, S. Murindanyi, et al.
Frontiers in Artificial Intelligence, 2025
Integrative Review of Human Activity Recognition and Violence Detection: Exploring Techniques, Modalities, and Cross-Domain Knowledge Transfer
P. Turyahabwa, S. Murindanyi
Journal of Data Science and Intelligent Systems, 2025
Coffee and cashew nut dataset: A dataset for detection, classification, and yield estimation for machine learning applications
R. Sanya, AL. Nabiryo, JF. Tusubira, S. Murindanyi, A. Katumba, et al.
Data in Brief, 2024
Leveraging edge computing and deep learning for the real-time identification of bean plant pathologies
A. Katumba, WS. Okello, S. Murindanyi, J. Nakatumba-Nabende, M. Bomera, et al.
Smart Agricultural Technology, 2024
Responsible Music Genre Classification Using Interpretable Model-Agnostic Visual Explainers
S. Murindanyi, K. Hamza, S. Kagumire, G. Marvin
SN Computer Science, 2024
Machine Learning Analysis of Radio Data to Uncover Community Perceptions on the Ebola Outbreak in Uganda
J. Nakatumba-Nabende, J. Mukiibi, TS. Bateesa, S. Murindanyi, A. Katumba, et al.
ACM Journal on Computing and Sustainable Societies, 2024
Using machine learning for image-based analysis of sweetpotato root sensory attributes
J. Nakatumba-Nabende, C. Babirye, JF. Tusubira, H. Mutegeki, AL. Nabiryo, S. Murindanyi, et al.
Smart Agricultural Technology, 2023
Conference Papers
8 Published
Explainable machine learning and graph neural network approaches for predicting employee attrition
C. Makanga, D. Mukwaba, CL. Agaba, S. Murindanyi, T. Joseph, N. Hellen, et al.
Proceedings of the 2024 Sixteenth International Conference on Contemporary Computing, 2024
Interpretable Machine Learning Techniques for Audio Source Separation
J. Kaitesi, SR. Martin, S. Murindanyi, PJ. Asiimwe, B. Kanagwa, G. Marvin
Congress on Intelligent Systems, 2024
Interpretable machine learning for predicting customer churn in retail banking
S. Murindanyi, BW. Mugalu, J. Nakatumba-Nabende, G. Marvin
2023 7th International Conference on Trends in Electronics and Informatics (ICOEI), 2023
Explainable machine learning models for swahili news classification
S. Murindanyi, BA. Yiiki, A. Katumba, J. Nakatumba-Nabende
Proceedings of the 2023 7th International Conference on Natural Language Processing and Information Retrieval, 2023
SHapley additive exPlanations for machine emotion intelligence in CNNs
C. Kirabo, S. Murindanyi, NP. Kirabo, KM. Hasib, G. Marvin
International Conference on Computational Intelligence, 2023
Explainable ensemble learning and trustworthy open ai for customer engagement prediction in retail banking
S. Murindanyi, M. Nagwovuma, B. Nansamba, G. Marvin
Proceedings of the 2023 Fifteenth International Conference on Contemporary Computing, 2023
Responsible artificial intelligence for music recommendation
S. Murindanyi, A. Nakate, MN. Kyebambe, R. Nakibuule, G. Marvin
International Conference on Data Science and Applications, 2023
Trustworthy Machine Emotion Intelligence Using Facial Micro-expressions
S. Murindanyi, C. Kirabo, NP. Kirabo, N. Hellen, G. Marvin
International Conference on Intelligent Vision and Computing, 2023
Preprints
4 Available
PaliGemma-CXR: A Multi-task Multimodal Model for TB Chest X-ray Interpretation
D. Musinguzi, A. Katumba, S. Murindanyi
arXiv preprint arXiv:2503.00171, 2025
Enhanced Infield Agriculture with Interpretable Machine Learning Approaches for Crop Classification
S. Murindanyi, J. Nakatumba-Nabende, R. Sanya, R. Nakibuule, A. Katumba
arXiv preprint arXiv:2408.12426, 2024
Automated Lung Disease Classification Using Advanced Ultrasound Imaging Techniques
N. Okila, A. Katumba, J. Nakatumba-Nabende, C. Mwikirize, S. Murindanyi, et al.
SSRN 5030016 papers.ssrn.com, 2024
Luganda Speech Intent Recognition for IoT Applications
A. Katumba, S. Murindanyi, JT. Kasule, E. Mugume
arXiv preprint arXiv:2405.19343, 2024