
Chandan K. Reddy
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2020 – today
- 2020
- [j30]Ting Hua, Chang-Tien Lu, Jaegul Choo
, Chandan K. Reddy:
Probabilistic Topic Modeling for Comparative Analysis of Document Collections. ACM Trans. Knowl. Discov. Data 14(2): 24:1-24:27 (2020) - [j29]Sina Dabiri
, Chang-Tien Lu, Kevin Heaslip
, Chandan K. Reddy
:
Semi-Supervised Deep Learning Approach for Transportation Mode Identification Using GPS Trajectory Data. IEEE Trans. Knowl. Data Eng. 32(5): 1010-1023 (2020) - [j28]Yaser Keneshloo
, Tian Shi
, Naren Ramakrishnan
, Chandan K. Reddy
:
Deep Reinforcement Learning for Sequence-to-Sequence Models. IEEE Trans. Neural Networks Learn. Syst. 31(7): 2469-2489 (2020) - [c79]Ming Zhu, Busra Celikkaya, Parminder Bhatia, Chandan K. Reddy:
LATTE: Latent Type Modeling for Biomedical Entity Linking. AAAI 2020: 9757-9764 - [c78]Jiameng Pu, Neal Mangaokar, Bolun Wang, Chandan K. Reddy, Bimal Viswanath:
NoiseScope: Detecting Deepfake Images in a Blind Setting. ACSAC 2020: 913-927 - [c77]Ming Zhu, Aman Ahuja, Da-Cheng Juan, Wei Wei, Chandan K. Reddy:
Question Answering with Long Multiple-Span Answers. EMNLP (Findings) 2020: 3840-3849 - [c76]Neal Mangaokar, Jiameng Pu, Parantapa Bhattacharya, Chandan K. Reddy, Bimal Viswanath:
Jekyll: Attacking Medical Image Diagnostics using Deep Generative Models. EuroS&P 2020: 139-157 - [c75]Aman Ahuja, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy:
Language-Agnostic Representation Learning for Product Search on E-Commerce Platforms. WSDM 2020: 7-15 - [c74]Ping Wang, Tian Shi, Chandan K. Reddy:
Text-to-SQL Generation for Question Answering on Electronic Medical Records. WWW 2020: 350-361 - [c73]Khoa D. Doan, Chandan K. Reddy:
Efficient Implicit Unsupervised Text Hashing using Adversarial Autoencoder. WWW 2020: 684-694 - [i17]Khoa D. Doan, Amir Kimiyaie, Saurav Manchanda, Chandan K. Reddy:
Image Hashing by Minimizing Independent Relaxed Wasserstein Distance. CoRR abs/2003.00134 (2020) - [i16]Khoa D. Doan, Saurav Manchanda, Fengjiao Wang, S. Sathiya Keerthi, Avradeep Bhowmik, Chandan K. Reddy:
Image Generation Via Minimizing Fréchet Distance in Discriminator Feature Space. CoRR abs/2003.11774 (2020) - [i15]Tian Shi, Xuchao Zhang, Ping Wang, Chandan K. Reddy:
A Concept-based Abstraction-Aggregation Deep Neural Network for Interpretable Document Classification. CoRR abs/2004.13003 (2020) - [i14]Ping Wang, Khushbu Agarwal, Colby Ham, Sutanay Choudhury, Chandan K. Reddy:
Self-Supervised Learning of Contextual Embeddings for Link Prediction in Heterogeneous Networks. CoRR abs/2007.11192 (2020) - [i13]Tian Shi, Liuqing Li, Ping Wang, Chandan K. Reddy:
A Simple and Effective Self-Supervised Contrastive Learning Framework for Aspect Detection. CoRR abs/2009.09107 (2020) - [i12]Tian Shi, Ping Wang, Chandan K. Reddy:
Deliberate Self-Attention Network with Uncertainty Estimation for Multi-Aspect Review Rating Prediction. CoRR abs/2009.09112 (2020) - [i11]Amirsina Torfi, Edward A. Fox, Chandan K. Reddy:
Differentially Private Synthetic Medical Data Generation using Convolutional GANs. CoRR abs/2012.11774 (2020) - [i10]Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy:
Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs. CoRR abs/2012.13023 (2020)
2010 – 2019
- 2019
- [c72]Tian Shi, Vineeth Rakesh, Suhang Wang, Chandan K. Reddy:
Document-Level Multi-Aspect Sentiment Classification for Online Reviews of Medical Experts. CIKM 2019: 2723-2731 - [c71]Khoa D. Doan, Pranjul Yadav, Chandan K. Reddy:
Adversarial Factorization Autoencoder for Look-alike Modeling. CIKM 2019: 2803-2812 - [c70]Dhruv Sharma, Zahil Shanis, Chandan K. Reddy, Samuel Gerber, Andinet Enquobahrie:
Active Learning Technique for Multimodal Brain Tumor Segmentation Using Limited Labeled Images. DART/MIL3ID@MICCAI 2019: 148-156 - [c69]Tian Shi, Ping Wang, Chandan K. Reddy:
LeafNATS: An Open-Source Toolkit and Live Demo System for Neural Abstractive Text Summarization. NAACL-HLT (Demonstrations) 2019: 66-71 - [c68]Aman Ahuja, Ashish Baghudana, Wei Lu, Edward A. Fox, Chandan K. Reddy:
Spatio-Temporal Event Detection from Multiple Data Sources. PAKDD (1) 2019: 293-305 - [c67]Khoa D. Doan, Guolei Yang, Chandan K. Reddy:
An Attentive Spatio-Temporal Neural Model for Successive Point of Interest Recommendation. PAKDD (3) 2019: 346-358 - [c66]Yaser Keneshloo, Naren Ramakrishnan, Chandan K. Reddy:
Deep Transfer Reinforcement Learning for Text Summarization. SDM 2019: 675-683 - [c65]Ming Zhu, Aman Ahuja, Wei Wei, Chandan K. Reddy:
A Hierarchical Attention Retrieval Model for Healthcare Question Answering. WWW 2019: 2472-2482 - [c64]Xuan Zhang, Zhilei Qiao, Aman Ahuja, Weiguo Fan, Edward A. Fox, Chandan K. Reddy:
Discovering Product Defects and Solutions from Online User Generated Contents. WWW 2019: 3441-3447 - [i9]Tian Shi, Ping Wang, Chandan K. Reddy:
LeafNATS: An Open-Source Toolkit and Live Demo System for Neural Abstractive Text Summarization. CoRR abs/1906.01512 (2019) - [i8]Ping Wang, Tian Shi, Chandan K. Reddy:
A Translate-Edit Model for Natural Language Question to SQL Query Generation on Multi-relational Healthcare Data. CoRR abs/1908.01839 (2019) - [i7]Ming Zhu, Busra Celikkaya, Parminder Bhatia, Chandan K. Reddy:
LATTE: Latent Type Modeling for Biomedical Entity Linking. CoRR abs/1911.09787 (2019) - 2018
- [j27]Sangho Suh, Sungbok Shin, Joonseok Lee, Chandan K. Reddy
, Jaegul Choo
:
Localized user-driven topic discovery via boosted ensemble of nonnegative matrix factorization. Knowl. Inf. Syst. 56(3): 503-531 (2018) - [j26]Vachik S. Dave, Mohammad Al Hasan, Baichuan Zhang, Chandan K. Reddy
:
Predicting interval time for reciprocal link creation using survival analysis. Soc. Netw. Anal. Min. 8(1): 16 (2018) - [c63]Guolei Yang, Ying Cai, Chandan K. Reddy:
Recurrent Spatio-Temporal Point Process for Check-in Time Prediction. CIKM 2018: 2203-2211 - [c62]Guolei Yang, Ying Cai, Chandan K. Reddy:
Spatio-Temporal Check-in Time Prediction with Recurrent Neural Network based Survival Analysis. IJCAI 2018: 2976-2983 - [c61]Ting Hua, Chandan K. Reddy, Lei Zhang, Lijing Wang
, Liang Zhao, Chang-Tien Lu, Naren Ramakrishnan:
Social Media based Simulation Models for Understanding Disease Dynamics. IJCAI 2018: 3797-3804 - [c60]Yue Ning, Rongrong Tao, Chandan K. Reddy
, Huzefa Rangwala, James C. Starz, Naren Ramakrishnan:
STAPLE: Spatio-Temporal Precursor Learning for Event Forecasting. SDM 2018: 99-107 - [c59]Tian Shi, Kyeongpil Kang, Jaegul Choo
, Chandan K. Reddy
:
Short-Text Topic Modeling via Non-negative Matrix Factorization Enriched with Local Word-Context Correlations. WWW 2018: 1105-1114 - [c58]Vineeth Rakesh, Weicong Ding, Aman Ahuja, Nikhil Rao, Yifan Sun, Chandan K. Reddy
:
A Sparse Topic Model for Extracting Aspect-Specific Summaries from Online Reviews. WWW 2018: 1573-1582 - [i6]Mahmudur Rahman, Tanay Kumar Saha, Mohammad Al Hasan, Kevin S. Xu, Chandan K. Reddy:
DyLink2Vec: Effective Feature Representation for Link Prediction in Dynamic Networks. CoRR abs/1804.05755 (2018) - [i5]Yaser Keneshloo, Tian Shi, Naren Ramakrishnan, Chandan K. Reddy:
Deep Reinforcement Learning For Sequence to Sequence Models. CoRR abs/1805.09461 (2018) - [i4]Yaser Keneshloo, Naren Ramakrishnan, Chandan K. Reddy:
Deep Transfer Reinforcement Learning for Text Summarization. CoRR abs/1810.06667 (2018) - [i3]Tian Shi, Yaser Keneshloo, Naren Ramakrishnan, Chandan K. Reddy:
Neural Abstractive Text Summarization with Sequence-to-Sequence Models. CoRR abs/1812.02303 (2018) - 2017
- [j25]Bhanukiran Vinzamuri
, Yan Li, Chandan K. Reddy:
Pre-Processing Censored Survival Data Using Inverse Covariance Matrix Based Calibration. IEEE Trans. Knowl. Data Eng. 29(10): 2111-2124 (2017) - [c57]Hannah Kim, Jaegul Choo, Changhyun Lee, Hanseung Lee, Chandan K. Reddy, Haesun Park:
PIVE: Per-Iteration Visualization Environment for Real-Time Interactions with Dimension Reduction and Clustering. AAAI 2017: 1001-1009 - [c56]Abhishek Sengupta, A. P. Prathosh, Satya Narayan Shukla, Vaibhav Rajan
, Chandan K. Reddy:
Prediction and imputation in irregularly sampled clinical time series data using hierarchical linear dynamical models. EMBC 2017: 3660-3663 - [c55]Aman Ahuja, Wei Wei, Wei Lu, Kathleen M. Carley, Chandan K. Reddy:
A Probabilistic Geographical Aspect-Opinion Model for Geo-Tagged Microblogs. ICDM 2017: 721-726 - [c54]Vachik S. Dave, Mohammad Al Hasan, Chandan K. Reddy:
How Fast Will You Get a Response? Predicting Interval Time for Reciprocal Link Creation. ICWSM 2017: 508-511 - [c53]Sangho Suh, Jaegul Choo, Joonseok Lee, Chandan K. Reddy:
Local Topic Discovery via Boosted Ensemble of Nonnegative Matrix Factorization. IJCAI 2017: 4944-4948 - [c52]Vineeth Rakesh, Niranjan Jadhav, Alexander Kotov
, Chandan K. Reddy:
Probabilistic Social Sequential Model for Tour Recommendation. WSDM 2017: 631-640 - [i2]Ping Wang, Yan Li, Chandan K. Reddy:
Machine Learning for Survival Analysis: A Survey. CoRR abs/1708.04649 (2017) - 2016
- [j24]Vijay Huddar, Bapu Koundinya Desiraju, Vaibhav Rajan
, Sakyajit Bhattacharya, Shourya Roy, Chandan K. Reddy:
Predicting Complications in Critical Care Using Heterogeneous Clinical Data. IEEE Access 4: 7988-8001 (2016) - [j23]Yan Li, Changxin Bai, Chandan K. Reddy
:
A distributed ensemble approach for mining healthcare data under privacy constraints. Inf. Sci. 330: 245-259 (2016) - [j22]Samir Al-Stouhi, Chandan K. Reddy
:
Transfer learning for class imbalance problems with inadequate data. Knowl. Inf. Syst. 48(1): 201-228 (2016) - [j21]Jayanta K. Dutta, Bonny Banerjee
, Chandan K. Reddy
:
RODS: Rarity based Outlier Detection in a Sparse Coding Framework. IEEE Trans. Knowl. Data Eng. 28(2): 483-495 (2016) - [j20]Mahtab Jahanbani Fard, Ping Wang, Sanjay Chawla, Chandan K. Reddy:
A Bayesian Perspective on Early Stage Event Prediction in Longitudinal Data. IEEE Trans. Knowl. Data Eng. 28(12): 3126-3139 (2016) - [c51]Sattar Ameri, Mahtab Jahanbani Fard, Ratna Babu Chinnam, Chandan K. Reddy:
Survival Analysis based Framework for Early Prediction of Student Dropouts. CIKM 2016: 903-912 - [c50]Ping Wang, Karthik K. Padthe, Bhanukiran Vinzamuri, Chandan K. Reddy:
CRISP: Consensus Regularized Selection based Prediction. CIKM 2016: 1019-1028 - [c49]Yan Li, Lu Wang, Jie Wang, Jieping Ye, Chandan K. Reddy:
Transfer Learning for Survival Analysis via Efficient L2, 1-Norm Regularized Cox Regression. ICDM 2016: 231-240 - [c48]Sangho Suh, Jaegul Choo, Joonseok Lee, Chandan K. Reddy:
L-EnsNMF: Boosted Local Topic Discovery via Ensemble of Nonnegative Matrix Factorization. ICDM 2016: 479-488 - [c47]Bhanukiran Vinzamuri, Karthik K. Padthe, Chandan K. Reddy:
Feature Grouping Using Weighted l1 Norm for High-Dimensional Data. ICDM 2016: 1233-1238 - [c46]Yan Li, Jie Wang, Jieping Ye, Chandan K. Reddy:
A Multi-Task Learning Formulation for Survival Analysis. KDD 2016: 1715-1724 - [c45]Mahtab Jahanbani Fard, Sanjay Chawla, Chandan K. Reddy
:
Early-Stage Event Prediction for Longitudinal Data. PAKDD (1) 2016: 139-151 - [c44]Yan Li, Bhanukiran Vinzamuri, Chandan K. Reddy:
Regularized Weighted Linear Regression for High-dimensional Censored Data. SDM 2016: 45-53 - [c43]Yan Li, Kevin S. Xu, Chandan K. Reddy:
Regularized Parametric Regression for High-dimensional Survival Analysis. SDM 2016: 765-773 - [c42]Yan Li, Vineeth Rakesh, Chandan K. Reddy
:
Project Success Prediction in Crowdfunding Environments. WSDM 2016: 247-256 - [c41]Vineeth Rakesh, Wang-Chien Lee, Chandan K. Reddy
:
Probabilistic Group Recommendation Model for Crowdfunding Domains. WSDM 2016: 257-266 - 2015
- [j19]Yan Li, Bhanukiran Vinzamuri, Chandan K. Reddy
:
Constrained elastic net based knowledge transfer for healthcare information exchange. Data Min. Knowl. Discov. 29(4): 1094-1112 (2015) - [j18]Jaegul Choo
, Changhyun Lee, Chandan K. Reddy
, Haesun Park:
Weakly supervised nonnegative matrix factorization for user-driven clustering. Data Min. Knowl. Discov. 29(6): 1598-1621 (2015) - [j17]Chandan K. Reddy
, Mohammad S. Aziz:
Predicting gene functions from multiple biological sources using novel ensemble methods. Int. J. Data Min. Bioinform. 12(2): 184-206 (2015) - [j16]Hannah Kim, Jaegul Choo
, Chandan K. Reddy
, Haesun Park:
Doubly supervised embedding based on class labels and intrinsic clusters for high-dimensional data visualization. Neurocomputing 150: 570-582 (2015) - [j15]Dilpreet Singh, Chandan K. Reddy:
A survey on platforms for big data analytics. J. Big Data 2: 8 (2015) - [j14]Faris Alqadah, Chandan K. Reddy
, Junling Hu, Hatim F. Alqadah:
Biclustering neighborhood-based collaborative filtering method for top-n recommender systems. Knowl. Inf. Syst. 44(2): 475-491 (2015) - [c40]Alexander Kotov, Vineeth Rakesh, Eugene Agichtein, Chandan K. Reddy:
Geographical Latent Variable Models for Microblog Retrieval. ECIR 2015: 635-647 - [c39]Vineeth Rakesh, Jaegul Choo, Chandan K. Reddy:
Project Recommendation Using Heterogeneous Traits in Crowdfunding. ICWSM 2015: 337-346 - [c38]Hannah Kim, Jaegul Choo
, Jingu Kim, Chandan K. Reddy
, Haesun Park:
Simultaneous Discovery of Common and Discriminative Topics via Joint Nonnegative Matrix Factorization. KDD 2015: 567-576 - [p7]Chandan K. Reddy, Charu C. Aggarwal:
An Introduction to Healthcare Data Analytics. Healthcare Data Analytics 2015: 1-18 - [p6]Rajiur Rahman, Chandan K. Reddy:
Electronic Health Records: A Survey. Healthcare Data Analytics 2015: 21-59 - [p5]Chandan K. Reddy, Yan Li:
A Review of Clinical Prediction Models. Healthcare Data Analytics 2015: 343-378 - [p4]Martin Alther, Chandan K. Reddy:
Clinical Decision Support Systems. Healthcare Data Analytics 2015: 625-656 - [e2]Chandan K. Reddy, Charu C. Aggarwal:
Healthcare Data Analytics. Chapman and Hall/CRC 2015, ISBN 978-1-4822-3211-0 [contents] - 2014
- [j13]Omar Odibat, Chandan K. Reddy
:
Efficient mining of discriminative co-clusters from gene expression data. Knowl. Inf. Syst. 41(3): 667-696 (2014) - [c37]Bhanukiran Vinzamuri, Yan Li, Chandan K. Reddy
:
Active Learning based Survival Regression for Censored Data. CIKM 2014: 241-250 - [c36]Vineeth Rakesh, Dilpreet Singh, Bhanukiran Vinzamuri, Chandan K. Reddy:
Personalized Recommendation of Twitter Lists using Content and Network Information. ICWSM 2014 - [c35]Jaegul Choo, Changhyun Lee, Hannah Kim, Hanseung Lee, Chandan K. Reddy
, Barry L. Drake, Haesun Park:
PIVE: Per-Iteration visualization environment for supporting real-time interactions with computational methods. IEEE VAST 2014: 241-242 - [c34]Samir Al-Stouhi, Chandan K. Reddy:
Multi-Task Clustering using Constrained Symmetric Non-Negative Matrix Factorization. SDM 2014: 785-793 - [e1]Charu C. Aggarwal, Chandan K. Reddy:
Data Clustering: Algorithms and Applications. CRC Press 2014, ISBN 978-1-46-655821-2 [contents] - 2013
- [j12]Asfar S. Azmi
, Aliccia Bollig-Fischer
, Bin Bao, Bum-Joon Park, Sun-Hye Lee, Gyu Yong-Song, Gregory Dyson, Chandan K. Reddy
, Fazlul H. Sarkar, Ramzi M. Mohammad:
Systems analysis reveals a transcriptional reversal of the mesenchymal phenotype induced by SNAIL-inhibitor GN-25. BMC Syst. Biol. 7: 85 (2013) - [j11]Chandan K. Reddy
, Cristopher C. Yang:
Introduction to the special section on intelligent systems for health informatics. ACM Trans. Intell. Syst. Technol. 4(4): 62:1-62:3 (2013) - [j10]Jaegul Choo
, Changhyun Lee, Chandan K. Reddy
, Haesun Park:
UTOPIAN: User-Driven Topic Modeling Based on Interactive Nonnegative Matrix Factorization. IEEE Trans. Vis. Comput. Graph. 19(12): 1992-2001 (2013) - [c33]Vineeth Rakesh, Chandan K. Reddy
, Dilpreet Singh, Ramachandran M. S.:
Location-specific tweet detection and topic summarization in Twitter. ASONAM 2013: 1441-1444 - [c32]Bhanukiran Vinzamuri, Chandan K. Reddy
:
Cox Regression with Correlation Based Regularization for Electronic Health Records. ICDM 2013: 757-766 - [c31]Jimeng Sun, Chandan K. Reddy:
Big data analytics for healthcare. KDD 2013: 1525 - [p3]Chandan K. Reddy, Bhanukiran Vinzamuri:
A Survey of Partitional and Hierarchical Clustering Algorithms. Data Clustering: Algorithms and Applications 2013: 87-110 - [p2]Chandan K. Reddy, Mohammad Al Hasan, Mohammed J. Zaki:
Clustering Biological Data. Data Clustering: Algorithms and Applications 2013: 381-414 - [p1]Charu C. Aggarwal, Chandan K. Reddy:
Educational and Software Resources for Data Clustering. Data Clustering: Algorithms and Applications 2013: 607-616 - 2012
- [j9]Gerard Miller, Melissa Weatherwax, Timothy Gardinier, Naoki Abe, Prem Melville, Cezar Pendus, David L. Jensen, Chandan K. Reddy
, Vince P. Thomas, James J. Bennett, Gary F. Anderson, Brent R. Cooley:
Tax Collections Optimization for New York State. Interfaces 42(1): 74-84 (2012) - [j8]Omar Odibat, Chandan K. Reddy
:
Ranking differential Hubs in gene Co-Expression Networks. J. Bioinform. Comput. Biol. 10(1) (2012) - [j7]Indranil Palit, Chandan K. Reddy
:
Scalable and Parallel Boosting with MapReduce. IEEE Trans. Knowl. Data Eng. 24(10): 1904-1916 (2012) - [c30]Samir Al-Stouhi, Chandan K. Reddy
, David E. Lanfear:
Label Space Transfer Learning. ICTAI 2012: 727-734 - [c29]Noor Alaydie, Chandan K. Reddy
, Farshad Fotouhi:
Exploiting Label Dependency for Hierarchical Multi-label Classification. PAKDD (1) 2012: 294-305 - [c28]Faris Alqadah, Joel S. Bader, Rajul Anand, Chandan K. Reddy:
Query-based Biclustering using Formal Concept Analysis. SDM 2012: 648-659 - 2011
- [j6]Chandan K. Reddy
, Jin Hyeong Park:
Multi-resolution boosting for classification and regression problems. Knowl. Inf. Syst. 29(2): 435-456 (2011) - [c27]Omar Odibat, Chandan K. Reddy
:
Ranking differential genes in co-expression networks. BCB 2011: 350-354 - [c26]Noor Alaydie, Chandan K. Reddy
, Farshad Fotouhi:
A Bayesian integration model for improved gene functional inference from heterogeneous data sources. BCB 2011: 376-380 - [c25]Rajul Anand, Chandan K. Reddy:
Graph-Based Clustering with Constraints. PAKDD (2) 2011: 51-62 - [c24]Samir Al-Stouhi, Chandan K. Reddy
:
Adaptive Boosting for Transfer Learning Using Dynamic Updates. ECML/PKDD (1) 2011: 60-75 - [c23]Rajul Anand, Chandan K. Reddy
:
Constrained Logistic Regression for Discriminative Pattern Mining. ECML/PKDD (1) 2011: 92-107 - [c22]Omar Odibat, Chandan K. Reddy:
A Generalized Framework for Mining Arbitrarily Positioned Overlapping Co-clusters. SDM 2011: 343-354 - 2010
- [j5]Chandan K. Reddy
, Bala Rajaratnam:
Learning mixture models via component-wise parameter smoothing. Comput. Stat. Data Anal. 54(3): 732-749 (2010) - [j4]Chandan K. Reddy
, Mohammad S. Aziz:
Modeling local nonlinear correlations using subspace principal curves. Stat. Anal. Data Min. 3(5): 332-349 (2010) - [c21]Omar Odibat, Chandan K. Reddy
, Craig N. Giroux:
Differential biclustering for gene expression analysis. BCB 2010: 275-284 - [c20]Mohammad S. Aziz, Chandan K. Reddy
:
Robust prediction from multiple heterogeneous data sources with partial information. CIKM 2010: 1857-1860 - [c19]Noor Alaydie, Farshad Fotouhi, Chandan K. Reddy
, Hamid Soltanian-Zadeh:
Noise and Outlier Filtering in Heterogeneous Medical Data Sources. DEXA Workshops 2010: 115-119 - [c18]Indranil Palit, Chandan K. Reddy
:
Parallelized Boosting with Map-Reduce. ICDM Workshops 2010: 1346-1353 - [c17]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:
Optimizing debt collections using constrained reinforcement learning. KDD 2010: 75-84 - [c16]Mohammad S. Aziz, Chandan K. Reddy
:
A Robust Seedless Algorithm for Correlation Clustering. PAKDD (1) 2010: 28-37 - [c15]Jaegul Choo, Chandan K. Reddy, Hanseung Lee, Haesun Park:
p-ISOMAP: An Efficient Parametric Update for ISOMAP for Visual Analytics. SDM 2010: 502-513
2000 – 2009
- 2009
- [c14]Indranil Palit, Chandan K. Reddy
, Kendra L. Schwartz:
Differential Predictive Modeling for Racial Disparities in Breast Cancer. BIBM 2009: 239-245 - [c13]Chandan K. Reddy
, Jin Hyeong Park:
Multi-resolution Boosting for Classification and Regression Problems. PAKDD 2009: 196-207 - [c12]Snehal Pokharkar, Chandan K. Reddy:
Identifying Information-Rich Subspace Trends in High-Dimensional Data. SDM 2009: 557-568 - [r1]Chandan K. Reddy, Bala Rajaratnam:
Theory and Practice of Expectation Maximization (EM) Algorithm. Encyclopedia of Data Warehousing and Mining 2009: 1966-1973 - 2008
- [j3]Chandan K. Reddy
, Hsiao-Dong Chiang, Bala Rajaratnam:
TRUST-TECH-Based Expectation Maximization for Learning Finite Mixture Models. IEEE Trans. Pattern Anal. Mach. Intell. 30(7): 1146-1157 (2008) - [c11]Chandan K. Reddy
, Fahima A. Bhuyan:
Retrieval and ranking of biomedical images using boosted haar features. BIBE 2008: 1-6 - [c10]