Christopher Moretti, Karsten Steinhaeuser, Douglas L. Thain, and Nitesh V. Chawla. “Scaling Up Classifiers to Cloud Computers.” Proceedings of the 8th IEEE International Conference on Data Mining (ICDM), pp. 472–481, 2008. PDF
Ranga Raju Vatsavai, Olufemi A. Omitaomu, João Gama, Nitesh V. Chawla, Mohamed M. Gaber, and Auroop R. Ganguly. “Knowledge Discovery from Sensor Data (SensorKDD).” ACM SIGKDD Explorations Newletter, 10(2):68–73, 2008. PDF
Darcy A. Davis, Nitesh V. Chawla, Nicholas Blumm, Nicholas A. Christakis, and Albert-László Barabási. “Predicting Individual Disease Risk Based on Medical History.” Proceedings of the 17th ACM Conference on Information and Knowledge Management (CIKM), pp. 769–778, 2008. PDF
David A. Cieslak and Nitesh V. Chawla. “Learning Decision Trees for Unbalanced Data.” Proceedings of the 19th European Conference on Machine Learning and the 12th European Conference on Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), pp. 241–256, 2008. PDF
Vince Thomas, Nitesh V. Chawla, Kevin W. Bowyer, and Patrick J. Flynn. “Learning to Predict Gender from Iris Images.” Proceedings of the 1st IEEE International Conference on Biometrics: Theory, Applications, and Systems (BTAS), pp. 1–5, 2007. PDF