Makerere University School of Computing and I.T.
Artificial Intelligence in the Developing World
Recent publications

I.Ndibatya, MJ (Thinus) Booysen. Modelling of inter-stop minibus taxi movements: Using machine learning and network theory. , Proceedings of the 1st International Conference on the Use of Mobile ICT in Africa. 9-10 December 2014, StellenBosch South Africa..

R. Nakibuule, J.A. Quinn. Performance Evaluation of a Low Cost Vision-Based Traffic Flow Monitoring System., Proceedings of the 1st International Conference on the Use of Mobile ICT in Africa. 9-10 December 2014, StellenBosch South Africa.

M. Mubangizi, R. Andrade-Pacheco, M. Smith, J.A. Quinn and N.D. Lawrence. Malaria surveillance with multiple data sources using Gaussian process models. , Proceedings of the 1st International Conference on the Use of Mobile ICT in Africa. 9-10 December 2014, StellenBosch South Africa.

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.

J.A. Quinn, A. Andama, I. Munabi, F.N. Kiwanuka. Automated Blood Smear Analysis for Mobile Malaria Diagnosis. Chapter to appear in Mobile Point-of-Care Monitors and Diagnostic Device Design, eds. W. Karlen and K. Iniewski, CRC Press, 2014.

J.A. Quinn, V. Frias-Martinez, L. Subramanian. Computational Sustainability and Artificial Intelligence in the Developing World. To appear in Artificial Intelligence Magazine, 2014.

R. Ssekibuule, J.A. Quinn, K Leyton-Brown. A Mobile Market for Agricultural Trade in Uganda. The Fourth Annual Symposium on Computing for Development (ACM DEV), 2013.

J.A. Quinn. Computational Techniques for Crop Disease Monitoring in the Developing World. Invited paper in The Twelfth International Symposium on Intelligent Data Analysis, Advances in Intelligent Data Analysis (12) 13-18, 2013, Springer LNCS.

R Nakibuule, J Ssenyange, J.A. Quinn. Low Cost Video-Based Traffic Congestion Monitoring Using Phones As Sensors. Poster in The Third Annual Symposium on Computing for Development (ACM DEV), 2013.

M. Mubangizi, C. Ikae, A. Spiliopoulou, J.A. Quinn. Coupling Spatiotemporal Disease Modeling with Diagnosis. Conference of the Association for the Advancement of Artificial Intelligence (AAAI), 2012.

W. Okori and J. Obua. Supervised Learning Algorithms for Famine Prediction. Journal of Applied Artificial Intelligence 25(9):822-835, 2011.

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.

E. Mwebaze, M. Biehl, J.A. Quinn. Causal Relevance Learning for Robust Classification under Interventions, To appear in European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), 2011.

J.A. Quinn, J. Mooij, T. Heskes, M. Biehl. Learning of Causal Relations, Invited paper in European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), 2011.

J.A. Quinn, W. Okori and A. Gidudu. Increased-Specificity Famine Prediction using Satellite Observation Data, To appear in The First Annual Symposium on Computing for Development (ACM DEV), London, 2010.

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.

W. Okori, J. Obua and V. Baryamureeba. Logit Analysis of Socio-Economic Factors Influencing Famine Disaster in Uganda. Journal of Disaster Research, 5(3), 2010.

J.A. Quinn and R. Nakibuule. Traffic Flow Monitoring in Crowded Cities, 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.