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This page is still being updated to have all our papers. Presently, it is a container of some of our very recent papers

David Cieslak, Nitesh Chawla, and Douglas Thain (2008). "Troubleshooting Thousands of Jobs on Production Grids Using Data Mining Techniques" IEEE/ACM International Conference on Grid Computing (GRID). pdf    


David Cieslak and Nitesh Chawla (2008). "Learning Decision Trees for Unbalanced Data" European Conference on Machine Learning (ECML). pdf    


David Cieslak and Nitesh Chawla (2008). "Analyzing Classifier Performance on Imbalanced Datasets when Training and Testing Distributions Differ" Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD). pdf    


Karsten Steinhaeuser and Nitesh Chawla (2008). "Is Modularity the Answer to Evaluating Community Structure in Networks?" International Workshop and Conference on Network Science (NetSci). pdf    


Karsten Steinhaeuser and Nitesh Chawla (2008). Scalable Learning with Thread-Level Parallelism." 19th Midwest Artificial Intelligence and Cognitive Science Conference (MAICS). pdf    


Karsten Steinhaeuser and Nitesh Chawla (2008). "Community Detection in a Large Real-World Social Network." Book Chapter (LNCS), First International Workshop on Social Computing, Behavioral Modeling, and Prediction (SBP). pdf    


Nitesh Chawla, David Cieslak, Larry Hall, and Ajay Joshi (2008). "Automatically Countering Imbalance and Its Empirical Relationship to Cost" Data Mining and Knowledge Discovery (DMKD). pdf    


David Cieslak and Nitesh Chawla (2008). "A Framework for Monitoring Classifiers' Performance: When and Why Failure Occurs?" Knowledge and Information Systems (KAIS). pdf    


David Cieslak and Nitesh Chawla (2007). "Detecting Fracture Points in Classifier Performance." 7th IEEE International Conference on Data Mining (ICDM). pdf    


Vince Thomas, Nitesh Chawla, Kevin Bowyer, and Pat Flynn (2007). "Learning to Predict Gender from IRISES." 1st IEEE Conference on Biometrics: Theory, Applications and Systems (BTAS). pdf    


Nitesh Chawla and Kevin Bowyer (2007). "Actively Exploring Creation of Face Spaces for Improved Face Recognition." 22nd National Conference on Artificial Intelligence (AAAI). pdf    


Nitesh Chawla and Jared Sylvester (2007). "Exploiting Diversity in Ensembles: Improving Performance on Unbalanced Datasets." 7th International Workshop on Multiple Classifier Systems (MCS). pdf    


Karsten Steinhaeuser, Nitesh Chawla and Peter Kogge (2006). "Exploiting Thread-level Parallelism to Build Decision Trees."Workshop on Parallel and Distributed Data Mining(ECML/PKDD). pdf    


Nitesh Chawla and Xiangning Li (2006). "Pricing Scheme for Benefit Scoring."2nd Workshop on Utility Based Data Mining (UBDM/KDD). pdf    


Nitesh Chawla and David Cieslak (2006). "Evaluating Calibration of Probability Estimation Trees."AAAI Workshop on the Evaluation Methods in Machine Learnin Workshop on Utility Based Data Mining (AAAI). pdf    


Karsten Steinhaeuser, Nitesh Chawla, and Christian Poellabauer (2006). "Towards Learning-based Sensor Management."First Workshop on Tackling Computer Systems Problems with Machine Learning Techniques (SYSML). pdf    


David Cieslak, Douglas Thain and Nitesh Chawla (2006). "Troubleshooting Distributed Systems via Data Mining."15th IEEE International Symposium on High Performance Distributed Computing (HPDC-15). pdf    


Jared Sylvester and Nitesh Chawla (2006). "Evolutionary Ensemble Creation and Thinning."IEEE International Joint Conference on Neural Networks (IJCNN). pdf    


David Cieslak, Nitesh Chawla and Aaron Striegel (2006). "Combating Imbalance in Network Intrusion Data."IEEE International Conference on Granular Computing (GrC). pdf    



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