| 2011 |
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| 31 | Constrained Logistic Regression for Discriminative Pattern Mining. Rajul Anand, Chandan K. Reddy. ECML/PKDD (1) 2011, 92-107. Web SearchBibTeXDownload |
| 30 | Adaptive Boosting for Transfer Learning Using Dynamic Updates. Samir Al-Stouhi, Chandan K. Reddy. ECML/PKDD (1) 2011, 60-75. Web SearchBibTeXDownload |
| 29 | Multi-resolution boosting for classification and regression problems. Chandan K. Reddy, Jin Hyeong Park. Knowl. Inf. Syst. (29): 435-456 (2011). Web SearchBibTeXDownload |
| 28 | Graph-Based Clustering with Constraints. Rajul Anand, Chandan K. Reddy. PAKDD (2) 2011, 51-62. Web SearchBibTeXDownload |
| 27 | A Generalized Framework for Mining Arbitrarily Positioned Overlapping Co-clusters. Omar Odibat, Chandan K. Reddy. SDM 2011, 343-354. Web SearchBibTeXDownload |
| 2010 |
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| 26 | Differential biclustering for gene expression analysis. Omar Odibat, Chandan K. Reddy, Craig N. Giroux. BCB 2010, 275-284. Web SearchBibTeXDownload |
| 25 | Robust prediction from multiple heterogeneous data sources with partial information. Mohammad S. Aziz, Chandan K. Reddy. CIKM 2010, 1857-1860. Web SearchBibTeXDownload |
| 24 | Learning mixture models via component-wise parameter smoothing. Chandan K. Reddy, Bala Rajaratnam. Computational Statistics & Data Analysis (54): 732-749 (2010). Web SearchBibTeXDownload |
| 23 | Noise and Outlier Filtering in Heterogeneous Medical Data Sources. Noor Alaydie, Farshad Fotouhi, Chandan K. Reddy, Hamid Soltanian-Zadeh. DEXA Workshops 2010, 115-119. Web SearchBibTeXDownload |
| 22 | Parallelized Boosting with Map-Reduce. Indranil Palit, Chandan K. Reddy. ICDM Workshops 2010, 1346-1353. Web SearchBibTeXDownload |
| 21 | Optimizing debt collections using constrained reinforcement learning. Naoki Abe, Prem Melville, Cezar Pendus, Chandan K. Reddy, David L. Jensen, Vince P. Thomas, James J. Bennett, Gary F. Anderson, Brent R. Cooley, Melissa Kowalczyk, Mark Domick, Timothy Gardinier. KDD 2010, 75-84. Web SearchBibTeXDownload |
| 20 | A Robust Seedless Algorithm for Correlation Clustering. Mohammad S. Aziz, Chandan K. Reddy. PAKDD (1) 2010, 28-37. Web SearchBibTeXDownload |
| 19 | p-ISOMAP: An Efficient Parametric Update for ISOMAP for Visual Analytics. Jaegul Choo, Chandan K. Reddy, Hanseung Lee, Haesun Park. SDM 2010, 502-513. Web SearchBibTeXDownload |
| 18 | Modeling local nonlinear correlations using subspace principal curves. Chandan K. Reddy, Mohammad S. Aziz. Statistical Analysis and Data Mining (3): 332-349 (2010). Web SearchBibTeXDownload |
| 2009 |
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| 17 | Differential Predictive Modeling for Racial Disparities in Breast Cancer. Indranil Palit, Chandan K. Reddy, Kendra L. Schwartz. BIBM 2009, 239-245. Web SearchBibTeXDownload |
| 16 | Theory and Practice of Expectation Maximization (EM) Algorithm. Chandan K. Reddy, Bala Rajaratnam. Encyclopedia of Data Warehousing and Mining 2009, 1966-1973. Web SearchBibTeXDownload |
| 15 | Multi-resolution Boosting for Classification and Regression Problems. Chandan K. Reddy, Jin Hyeong Park. PAKDD 2009, 196-207. Web SearchBibTeXDownload |
| 14 | Identifying Information-Rich Subspace Trends in High-Dimensional Data. Snehal Pokharkar, Chandan K. Reddy. SDM 2009, 557-568. Web SearchBibTeXDownload |
| 2008 |
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| 13 | Retrieval and ranking of biomedical images using boosted haar features. Chandan K. Reddy, Fahima A. Bhuyan. BIBE 2008, 1-6. Web SearchBibTeXDownload |
| 12 | Boosting Methods for Protein Fold Recognition: An Empirical Comparison. Yazhene Krishnaraj, Chandan K. Reddy. BIBM 2008, 393-396. Web SearchBibTeXDownload |
| 11 | Component-wise parameter smoothing for learning mixture models. Chandan K. Reddy, Bala Rajaratnam. ICPR 2008, 1-4. Web SearchBibTeXDownload |
| 10 | TRUST-TECH-Based Expectation Maximization for Learning Finite Mixture Models. Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratnam. IEEE Trans. Pattern Anal. Mach. Intell. (30): 1146-1157 (2008). Web SearchBibTeXDownload |
| 9 | Generating hypotheses of trends in high-dimensional data skeletons. Chandan K. Reddy, Snehal Pokharkar, Tin Kam Ho. IEEE VAST 2008, 139-146. Web SearchBibTeXDownload |
| 8 | Scale-Space Kernels for Additive Modeling. Chandan K. Reddy, Jin Hyeong Park. SSPR/SPR 2008, 714-723. Web SearchBibTeXDownload |
| 2007 |
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| 7 | TRUST-TECH based Methods for Optimization and Learning. Chandan K. Reddy. CoRR (abs/0712.4126) (2007). Web SearchBibTeXDownload |
| 6 | Scale-Space Based Weak Regressors for Boosting. Jin Hyeong Park, Chandan K. Reddy. ECML 2007, 666-673. Web SearchBibTeXDownload |
| 5 | TRUST-TECH Based Neural Network Training. Hsiao-Dong Chiang, Chandan K. Reddy. IJCNN 2007, 90-95. Web SearchBibTeXDownload |
| 2006 |
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| 4 | Refining motifs by improving information content scores using neighborhood profile search. Chandan K. Reddy, Yao-Chung Weng, Hsiao-Dong Chiang. Algorithms for Molecular Biology (1) (2006). Web SearchBibTeXDownload |
| 3 | Stability Region Based Expectation Maximization for Model-based Clustering. Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratnam. ICDM 2006, 522-531. Web SearchBibTeXDownload |
| 2 | A Stability Boundary Based Method for Finding Saddle Points on Potential Energy Surfaces. Chandan K. Reddy, Hsiao-Dong Chiang. Journal of Computational Biology (13): 745-766 (2006). Web SearchBibTeXDownload |
| 2005 |
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| 1 | Finding saddle points using stability boundaries. Chandan K. Reddy, Hsiao-Dong Chiang. SAC 2005, 212-213. Web SearchBibTeXDownload |
