Artificial Intelligence and Data Science


Makerere University, Uganda

Article Year Download

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

2014

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

2014 pdf

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.

2013 pdf

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.

2013 pdf

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.

2013 pdf

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.

2012 pdf

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

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.

2011 pdf

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.

2011 pdf

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.

2011 pdf

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.

2011 pdf

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.

2010 pdf

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.

2010 pdf

E. Mwebaze, W. Okori and J.A. Quinn. Causal Structure Learning for Famine Prediction, AAAI Spring Symposium on Artificial Intelligence for Development, Stanford, 2010.

2010 pdf

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.

2010

J.A. Quinn and R. Nakibuule. Traffic Flow Monitoring in Crowded Cities, AAAI Spring Symposium on Artificial Intelligence for Development, Stanford, 2010.

2010 pdf

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.

2010 pdf

I.Ndibatya, MJ 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..

2014 pdf

Ndibatya, I., M. J. Booysen, and J. Quinn. An adaptive transportation prediction model for the informal public transport sector in Africa. Intelligent Transportation Systems (ITSC), 2014 IEEE 17th International Conference on. IEEE, 2014.

2014 pdf

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.

2014 pdf

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.

2014 pdf

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.

2014 pdf

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.

2014 pdf

J.A. Quinn, M. Sugiyama. A Least-Squares Approach to Anomaly Detection in Static and Sequential Data. Pattern Recognition Letters 40:36-40, 2014.

2014

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S. Liu, J.A. Quinn, M.U. Gutmann, T. Suzuki, M. Sugiyama. Direct Learning of Sparse Changes in Markov Networks by Density Ratio Estimation. Neural Computation 26.6 (2014): 1169-1197

2014

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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

2010

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N. Eagle, A. Clauset and J.A. Quinn. Location Segmentation, Inference and Prediction for Anticipatory Computing.AAAI Spring Symposium on Technosocial Predictive Analytics, Stanford, 2009.

2009

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N. Eagle, J.A. Quinn and A. Clauset. Methodologies for Continuous Cellular Tower Data Analysis.Seventh International Conference on Pervasive Computing, 2009.

2009

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