2012

• Noor Alaydie, Chandan K. Reddy and Farshad Fotouhi, "A General Framework for Hierarchical Multi-label Classification by Exploiting Label Dependency", In Proceedings of Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Kaula Lumpur, Malaysia, May 2012. [pdf]
  

• Faris Alqadah, Joel S. Bader, Rajul Anand and Chandan K. Reddy, "Query-based Biclustering using Real Valued Concept Lattices", In Proceedings of SIAM International Conference on Data Mining (SDM), Anaheim, CA, April 2012. [pdf]
  

• Omar Odibat and Chandan K. Reddy, "Ranking Differential Hubs in Gene Co-expression Networks", Journal of Bioinformatics and Computational Biology (JBCB), January 2012. [pdf] Invited Paper (in press.)
  

• Gerard Miller, Melissa Weatherwax, Timothy Gardinier, Naoki Abe, Prem Melville, Cezar Pendus, David Jensen, Vince Thomas, James Bennett, Gary Anderson, Brent Cooley, and Chandan K. Reddy, "Tax Collections Optimization for New York State", Interfaces, January 2012. [pdf] Franz Edelman Special issue (in press.)
  

• Indranil Palit and Chandan K. Reddy, "Scalable and Parallel Boosting with MapReduce", IEEE Transactions on Knowledge and Data Engineering (TKDE), 2012. [pdf] (in press.)
  

2011

• Samir Al-Stouhi and Chandan K. Reddy, "Adaptive Boosting for Transfer Learning using Dynamic Updates", In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD) , Athens, Greece, September 2011. [pdf]
  

• Rajul Anand and Chandan K. Reddy, "Constrained Logistic Regression for Discriminative Pattern Mining", In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), Athens, Greece, September 2011. [pdf]
  

• Omar Odibat and Chandan K. Reddy, "Mining Differential Hubs in Homogenous Networks", In Proceedings of SIGKDD workshop on Mining and Learning with Graphs (MLG), San Diego, CA, August 2011. [ DiffRank Website ] [pdf]
  

• Omar Odibat and Chandan K. Reddy, "Ranking Differential Genes in Co-expression Networks", In Proceedings of the ACM Conference on Bioinformatics and Computational Biology (BCB), Chicago, IL, August 2011. [pdf]
  

• Noor Alaydie, Chandan K. Reddy and Farshad Fotouhi, "A Bayesian Integration Model for Improved Gene Functional Inference from Heterogeneous Data Sources", In Proceedings of the ACM Conference on Bioinformatics and Computational Biology (BCB), Chicago, IL, August 2011. [pdf]
  

• Rajul Anand and Chandan K. Reddy, "Graph-based Clustering with Constraints", In Proceedings of Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Shenzhen,China, May 2011. [pdf]
  

• Omar Odibat and Chandan K. Reddy, "A Generalized Framework for Mining Arbitrarily Positioned Overlapping Co-clusters", In Proceedings of the SIAM International Conference on Data Mining (SDM), Phoenix, AZ, April 2011. [pdf]
  

• Chandan K. Reddy and Jin-Hyeong Park, "Multi-resolution Boosting for Classification and Regression Problems", Knowledge and Information Systems (KAIS), Vol.29, No.2, pp.435-456, November 2011. [pdf]
  

• Adel Alaeddini, Kai Yang, Chandan K Reddy and Susan Yu, "A Probabilistic Model for Predicting the Probability of No-Show in Hospital Appointments", Health Care Management Science (HCMS), Vol.14, No.2, pp.146-157, June 2011. [pdf]
  

2010

• Indranil Palit and Chandan K. Reddy, "Parallelized Boosting with Map-Reduce", In Proceedings of the ICDM 2010 Workshop on Large-scale Analytics for Complex Instrumented Systems (LACIS)., Sydney, Australia, December 2010. [pdf]
  

• Mohammad S. Aziz and Chandan K. Reddy, "Robust Prediction from Multiple Heterogeneous Data Sources with Partial Information", In Proceedings of the 18th ACM Conference on Information and Knowledge Management (CIKM), Toronto, Canada, October 2010. short paper [pdf]
  

• Omar Odibat, Chandan K. Reddy and Craig N. Giroux, "Differential Biclustering for Gene Expression Analysis", In Proceedings of the ACM Conference on Bioinformatics and Computational Biology (BCB), Niagara Falls, NY, August 2010. [pdf]
  

• Noor Alaydie, Chandan K. Reddy and Farshad Fotouhi, "Hierarchical Multi-label Boosting for Gene Function Prediction", In Proceedings of the International Conference on Computational Systems Bioinformatics (CSB), Stanford, CA, August 2010. [pdf]
  

• Naoki Abe, Prem Melville, Cezar Pendus, Chandan K. Reddy , David L. Jensen et al., "Optimizing Debt Collections Using Constrained Reinforcement Learning", In Proceedings of the ACM SIGKDD International Conference On Knowledge Discovery and Data Mining (KDD), Washington D.C., July 2010. Best Application Paper Award [pdf]
  

• Mohammad Aziz and Chandan K. Reddy , "A Robust Seedless Algorithm for Correlation Clustering", In Proceedings of Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Hyderabad, India, June 2010. [pdf]
  

• Jaegul Choo, Chandan K. Reddy , Hanseung Lee and Haesun Park, "p-ISOMAP: An Efficient Parametric Update for ISOMAP for Visual Analytics", In Proceedings of the SIAM International Conference on Data Mining (SDM), Columbus, OH, April 2010. [pdf]
  

• Chandan K. Reddy and Mohammad S. Aziz, "Modeling Local Non-linear Correlations using Subspace Principal Curves", Statistical Analysis and Data Mining (SADM), Vol.3, No.5, pp.332–349, October 2010. [pdf]
  

• Chandan K. Reddy and Bala Rajaratnam, "Learning Mixture Models via Component-wise Parameter Smoothing", Computational Statistics and Data Analysis (CSDA), Vol.54, No.3, pp.732-749, March 2010. [pdf]
  

• Colin A. Gross, Chandan K. Reddy and Frank B. Dazzo, "CMEIAS Color Segmentation: An Improved Computing Technology To Process Color Images for Quantitative Microbial Ecology Studies at Single-Cell Resolution", Microbial Ecology (ME), Vol.59, No.2, pp.400-414, February 2010. [pdf]
  

2009

• Indranil Palit, Chandan K. Reddy and Kendra Schwartz, "Differential Predictive Modeling for Racial Disparities in Breast Cancer", In Proceedings of IEEE International Conference on Bioinformatics and BioMedicine (BIBM), Washington DC, November 2009. [pdf]
  

• Snehal Pokharkar and Chandan K. Reddy , " Identifying Information-Rich Subspace Trends in High-Dimensional Data", In Proceedings of SIAM International Conference on Data Mining (SDM), Sparks, NV, April 2009. [pdf]
  

• Chandan K. Reddy and Jin-Hyeong Park, "Multi-Resolution Boosting for Classification and Regression", In Proceedings of Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Bangkok, Thailand, April 2009. [pdf]
  

• Yazhene Krishnaraj and Chandan K. Reddy "Protein Fold Recognition using Boosting algorithms", in Biological Data Mining , Jake Chen and Stefano Lonardi (eds.), Chapman & Hall/CRC Press, 2009.
  
  

• Hsiao-Dong Chiang, Jeng-Huei Chen, Chandan K. Reddy "Trust-Tech-Based Global Optimization Methodology for Nonlinear Programming", in Lectures on Global Optimization , Panos M. Pardalos and Thomas F. Coleman (eds.), American Mathematical Society, 2009.
  
  

2008

• Chandan K. Reddy and Bala Rajaratnam, "Component-wise Parameter Smoothing for Learning Mixture Models", In Proceedings of the International Conference on Pattern Recognition (ICPR), Tampa, FL, December 2008. [pdf]
  

• Yazhene Krishnaraj and Chandan K. Reddy , "Boosting methods for Protein Fold Recognition: An Empirical Comparison", In Proceedings of IEEE International Conference on BioInformatics and BioMedicine (BIBM) , Philadelphia, PA, November 2008. [pdf]
  

• Chandan K. Reddy , Snehal Pokharkar and Tin Kam Ho, "Generating Hypotheses of Trends in High-Dimensional Data Skeletons", In Proceedings of IEEE Symposium on Visual Analytics Science and Technology (VAST), Columbus, OH, October 2008. [pdf]
  

• Chandan K. Reddy and Fahima A. Bhuyan, "Retrieval and Ranking of Biomedical Images using Boosted Haar Features", In Proceedings of International Conference on BioInformatics and BioEngineering (BIBE), Athens, Greece, October 2008. [pdf]
  

• Chandan K. Reddy , Hsiao-Dong Chiang and Bala Rajaratnam, "TRUST-TECH based Expectation Maximization for Learning Finite Mixture Models", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol.30 , No.7, pp.1146-1157, July 2008. [pdf]
  

• Chandan K. Reddy and Bala Rajaratnam "Theory and Practice of Expectation Maximization Algorithm", in Encyclopedia of Data Warehousing and Mining , 2nd Edition, 2008.
  
  

2007

• Jin-Hyeong Park and Chandan K. Reddy , "Scale-space based boosting for weak regressors", In Proceedings of European Conference on Machine Learning, (ECML), Warsaw, Poland, September 2007. [pdf]
  

• Mary Helander, Rick Lawrence, Yan Liu, Claudia Perlich, Chandan Reddy and Saharon Rosset, "Looking for Great Ideas: Analyzing the Innovation Jam", In Proceedings of the ACM SIGKDD Workshop on Web Mining and Social Network Analysis (WEBSNAKDD), San Jose, CA, August 2007. [pdf]
  

• Hsiao-Dong Chiang and Chandan K. Reddy , "TRUST-TECH based Neural Network Training", International Joint Conference on Neural Networks (IJCNN), Orlando, FL, August 2007. [pdf]
  

• Chandan K. Reddy , Yao-Chung Weng and Hsiao-Dong Chiang "Neighborhood Profile Search for Motif Refinement", in Machine Learning for Bioinformatics , Yan-Qing Zhang and Jagath C. Rajapakse (eds.), John Wiley & Sons, 2007.
  
  

2006

• Chandan K. Reddy , Hsiao-Dong Chiang and Bala Rajarathnam, "Stability Region based Expectation Maximization for Model-based Clustering", In proceedings of the IEEE International Conference on Data Mining (ICDM), Hong Kong, December 2006. [pdf]
  

• Chandan K. Reddy , Yao-Chung Weng and Hsiao-Dong Chiang, "Motif Refinement using Hybrid Expectation Maximization based Neighborhood profile Search", In Proceedings of the 6th ACM SIGKDD Workshop on Data Mining in Bioinformatics (BIOKDD), August 2006. [pdf]
  

• Chandan K. Reddy , Yao-Chung Weng and Hsiao-Dong Chiang, "Refining Motifs by improving Information Content Scores using Neighborhood Profile Search", BMC Algorithms for Molecular Biology, Vol.1, No.23, pp.1-14, November 2006. [pdf]
  

• Chandan K. Reddy and Hsiao-Dong Chiang, "A Stability Boundary based Method for Finding Saddle Points on Potential Energy Surfaces", Journal of Computational Biology, Vol.13, No.3, pp.745-766, April 2006. [pdf]