- J.A. Quinn, K. Leyton-Brown, E. Mwebaze. Modeling and Monitoring Crop Disease in Developing Countries. Conference of the Association for the Advancement of Artificial Intelligence (AAAI), 2011
- E. Mwebaze, P. Schneider, F.-M. Schleif, J.R. Aduwo, J.A. Quinn, S. Haase, T. Villmann, M. Biehl. Divergence based classification in Learning Vector Quantization , Neurocomputing 74(9):1429-1435, 2011.
- J.R. Aduwo, E. Mwebaze and J.A. Quinn. Automated Vision-Based Diagnosis of Cassava Mosaic Disease, Workshop on Data Mining in Agriculture (DMA 2010), Berlin, 2010.
- E. Mwebaze, W. Okori and J.A. Quinn. Causal Structure Learning for Famine Prediction, AAAI Spring Symposium on Artificial Intelligence for Development, Stanford, 2010.
- E. Mwebaze, P. Schneider, F.-M. Schleif, S. Haase, T. Villmann, M. Biehl. Divergence based Learning Vector Quantization, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), 2010.
- E. Mwebaze and J.A. Quinn. Fast Committee-Based Structure Learning.NIPS 2008 Workshop on Causality, Journal of Machine Learning Research Workshop and Conference Proceedings 6:203–214
- J. Tuhaise, J.A. Quinn, E. Mwebaze. Pixel Classification Methods for Automatic Symptom Measurement of Cassava Brown Streak Disease. Proceedings of the 1st International Conference on the Use of Mobile ICT in Africa. 9-10 December 2014, Stellenbosch, South Africa.
- G. Owomugisha, J.A. Quinn, E. Mwebaze, J. Lwasa. Automated Vision-Based Diagnosis of Banana Bacterial Wilt Disease and Black Sigatoka Disease. Proceedings of the 1st International Conference on the Use of Mobile ICT in Africa. 9-10 December 2014, Stellenbosch, South Africa.
- E. Mwebaze, M. Biehl, J.A. Quinn. Causal Relevance Learning for Robust Classification under Interventions. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), 2011.
- MUBANGIZI, MARTIN, ERNEST MWEBAZE, and JOHN A. QUINN. Computational Prediction of Cholera Outbreaks." Kampala. International Conference on Computing and ICT Research (ICCIR), 2009.
- Mwebaze, Ernest, and John A. Quinn. Finding Predictive Relationships between Notifiable Diseases with Markov Blanket Discovery, 2010.
- MWEBAZE, ERNEST, and JOHN A. QUINN. Association learning and spectral clustering of Notifiable diseases. International Conference on Computing and ICT Research (ICCIR), 2009.
- Mwebaze, Ernest. A Thin client open source model for a rural health facility, 2007. (Masters dissertation).
- Mwebaze, Ernest. Divergences for Prototype-based Classification and Causal Structure Discovery, Theory and Application to Natural Datasets, 2014. (PhD Dissertation)
- Tushabe, Florence, Ernest Mwebaze, and Fred N. Kiwanuka. "An image-based diagnosis of virus and bacterial skin infections."International Conference on Computing and ICT Research (ICCIR), 2010.
- E. Mwebaze, G. Bearda, M. Biehl, D. Zuehlke. Combining dissimilarity measures for prototype-based classification. To appear in European Symposium on Artificial Neural Networks (ESANN), 2015.
- Wayne T. A. Enanoria, Fengchen Liu, Daozhou Gao, Sarah Ackley, James Scott, Michael Deiner, Ernest Mwebaze, Thomas M. Lietman, Travis C. Porco, Evaluating subcriticality during the Ebola epidemic in West Africa, PLoS ONE, Minor revision.
