Chandan K. Reddy

发表

Parallelized Boosting with Map-Reduce

Indranil Palit, Chandan K. Reddy, 2010, 2010 IEEE International Conference on Data Mining Workshops.

Temporal Data Mining for Healthcare Data

Charu C. Aggarwal, Chandan K. Reddy, C. Aggarwal, 2015 .

Ranking differential Hubs in gene Co-Expression Networks

Chandan K. Reddy, Omar Odibat, C. Reddy, 2012, J. Bioinform. Comput. Biol..

Image Hashing by Minimizing Discrete Component-wise Wasserstein Distance

Chandan K. Reddy, Khoa D. Doan, Saurav Manchanda, 2020 .

Label Space Transfer Learning

Chandan K. Reddy, Samir Al-Stouhi, David E. Lanfear, 2012, 2012 IEEE 24th International Conference on Tools with Artificial Intelligence.

Electronic Health Records: A Survey

Chandan K. Reddy, Rajiur Rahman, C. Reddy, 2015, Healthcare Data Analytics.

Identifying Information-Rich Subspace Trends in High-Dimensional Data

Chandan K. Reddy, Snehal Pokharkar, C. Reddy, 2009, SDM.

A Bayesian integration model for improved gene functional inference from heterogeneous data sources

Farshad Fotouhi, Chandan K. Reddy, Noor Alaydie, 2011, BCB '11.

Big data analytics for healthcare

Jimeng Sun, Chandan K. Reddy, Jimeng Sun, 2013, KDD.

Bioinformatics and Biomedicine Workshops

Min Song, Illhoi Yoo, Jean Gao, 2008 .

Project Recommendation Using Heterogeneous Traits in Crowdfunding

Jaegul Choo, Chandan K. Reddy, Vineeth Rakesh, 2021, ICWSM.

Jekyll: Attacking Medical Image Diagnostics using Deep Generative Models

Bimal Viswanath, Chandan K. Reddy, Parantapa Bhattacharya, 2020, 2020 IEEE European Symposium on Security and Privacy (EuroS&P).

An Attentive Spatio-Temporal Neural Model for Successive Point of Interest Recommendation

Chandan K. Reddy, Khoa D. Doan, Guolei Yang, 2019, PAKDD.

Transfer Learning for Survival Analysis via Efficient L2,1-Norm Regularized Cox Regression

Jieping Ye, Yan Li, Chandan K. Reddy, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

A Robust Seedless Algorithm for Correlation Clustering

Chandan K. Reddy, Mohammad S. Aziz, 2010, PAKDD.

Predicting interval time for reciprocal link creation using survival analysis

Vachik S. Dave, Mohammad Al Hasan, Baichuan Zhang, 2018, Social Network Analysis and Mining.

Biclustering neighborhood-based collaborative filtering method for top-n recommender systems

Faris Alqadah, Junling Hu, Hatim F. Alqadah, 2015, Knowledge and Information Systems.

Efficient mining of discriminative co-clusters from gene expression data

Chandan K. Reddy, Omar Odibat, Omar Odibat, 2014, Knowledge and Information Systems.

Multi-resolution Boosting for Classification and Regression Problems

Jin Hyeong Park, Chandan K. Reddy, 2009, PAKDD.

Multi-resolution boosting for classification and regression problems

Jin Hyeong Park, Chandan K. Reddy, C. Reddy, 2009, Knowledge and Information Systems.

p-ISOMAP: An Efficient Parametric Update for ISOMAP for Visual Analytics

Jaegul Choo, Haesun Park, Chandan K. Reddy, 2010, SDM.

Personalized Recommendation of Twitter Lists using Content and Network Information

Dilpreet Singh, Bhanukiran Vinzamuri, Chandan K. Reddy, 2014, ICWSM.

Information Retrieval for Healthcare

Charu C. Aggarwal, Chandan K. Reddy, 2015 .

A deep convolutional neural network based approach for vehicle classification using large-scale GPS trajectory data

Kevin Heaslip, Sina Dabiri, Chandan K. Reddy, 2020, Transportation Research Part C: Emerging Technologies.

Powerful tests for multi-marker association analysis using ensemble learning

Chandan K. Reddy, Badri Padhukasahasram, L. Keoki Williams, 2014 .

Query-based Biclustering using Formal Concept Analysis

Faris Alqadah, Chandan K. Reddy, Joel S. Bader, 2012, SDM.

Noise and Outlier Filtering in Heterogeneous Medical Data Sources

Farshad Fotouhi, Hamid Soltanian-Zadeh, Chandan K. Reddy, 2010, 2010 Workshops on Database and Expert Systems Applications.

Recurrent Spatio-Temporal Point Process for Check-in Time Prediction

Ying Cai, Chandan K. Reddy, Guolei Yang, 2018, CIKM.

CRISP: Consensus Regularized Selection based Prediction

Ping Wang, Bhanukiran Vinzamuri, Chandan K. Reddy, 2016, CIKM.

A Survey of Partitional and Hierarchical Clustering Algorithms

Bhanukiran Vinzamuri, Chandan K. Reddy, C. Reddy, 2018, Data Clustering: Algorithms and Applications.

Spatio-Temporal Event Detection from Multiple Data Sources

Edward A. Fox, Wei Lu, Chandan K. Reddy, 2019, PAKDD.

Self-Supervised Learning of Contextual Embeddings for Link Prediction in Heterogeneous Networks pdf

Ping Wang, Khushbu Agarwal, Sutanay Choudhury, 2020, WWW.

Short-Text Topic Modeling via Non-negative Matrix Factorization Enriched with Local Word-Context Correlations

Jaegul Choo, Chandan K. Reddy, Tian Shi, 2018, WWW.

TRUST-TECH Based Neural Network Training

Hsiao-Dong Chiang, Chandan K. Reddy, H. Chiang, 2007, 2007 International Joint Conference on Neural Networks.

Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2018)

Ulrik Brandes, Andrea Tagarelli, Chandan K. Reddy, 2018 .

Active Learning based Survival Regression for Censored Data

Bhanukiran Vinzamuri, Yan Li, Chandan K. Reddy, 2014, CIKM.

Image Hashing by Minimizing Independent Relaxed Wasserstein Distance pdf

Chandan K. Reddy, Khoa D. Doan, Saurav Manchanda, 2020, ArXiv.

Weakly supervised nonnegative matrix factorization for user-driven clustering

Jaegul Choo, Changhyun Lee, Haesun Park, 2014, Data Mining and Knowledge Discovery.

TRUST-TECH-Based Expectation Maximization for Learning Finite Mixture Models

Hsiao-Dong Chiang, Chandan K. Reddy, Bala Rajaratnam, 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Stability Region based Methods for Learning and Discovery

Hsiao-Dong Chiang, Chandan K. Reddy, 2007 .

Adaptive Boosting for Transfer Learning Using Dynamic Updates

Chandan K. Reddy, Samir Al-Stouhi, C. Reddy, 2011, ECML/PKDD.

An Introduction to Healthcare Data Analytics

Charu C. Aggarwal, Chandan K. Reddy, C. Aggarwal, 2015, Healthcare Data Analytics.

Social Media based Simulation Models for Understanding Disease Dynamics

Lei Zhang, Liang Zhao, Chang-Tien Lu, 2018, IJCAI.

Finding saddle points using stability boundaries

Hsiao-Dong Chiang, Chandan K. Reddy, 2005, SAC '05.

Constrained Logistic Regression for Discriminative Pattern Mining

Chandan K. Reddy, Rajul Anand, 2011, ECML/PKDD.

PIVE: Per-Iteration Visualization Environment for Real-Time Interactions with Dimension Reduction and Clustering

Jaegul Choo, Changhyun Lee, Haesun Park, 2017, AAAI.

STAPLE: Spatio-Temporal Precursor Learning for Event Forecasting

Naren Ramakrishnan, Huzefa Rangwala, Chandan K. Reddy, 2018, SDM.

Generating hypotheses of trends in high-dimensional data skeletons

Tin Kam Ho, Chandan K. Reddy, Snehal Pokharkar, 2008, 2008 IEEE Symposium on Visual Analytics Science and Technology.

Predicting gene functions from multiple biological sources using novel ensemble methods

Chandan K. Reddy, Mohammad S. Aziz, M. S. Aziz, 2015, Int. J. Data Min. Bioinform..

Deep Reinforcement Learning for Sequence-to-Sequence Models

Naren Ramakrishnan, Chandan K. Reddy, Tian Shi, 2018, IEEE Transactions on Neural Networks and Learning Systems.

L-EnsNMF: Boosted Local Topic Discovery via Ensemble of Nonnegative Matrix Factorization

Jaegul Choo, Joonseok Lee, Chandan K. Reddy, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

Discovering Product Defects and Solutions from Online User Generated Contents

Edward A. Fox, Weiguo Fan, Xuan Zhang, 2019, WWW.

Adversarial Factorization Autoencoder for Look-alike Modeling

Chandan K. Reddy, Khoa D. Doan, Pranjul Yadav, 2019, CIKM.

RODS: Rarity based Outlier Detection in a Sparse Coding Framework

Bonny Banerjee, Chandan K. Reddy, Jayanta K. Dutta, 2016, IEEE Transactions on Knowledge and Data Engineering.

Integrating Data Modeling and Dynamic Optimization using Constrained Reinforcement Learning

David L. Jensen, Chandan K. Reddy, Prem Melville, 2008 .

Prediction and imputation in irregularly sampled clinical time series data using hierarchical linear dynamical models

Satya Narayan Shukla, Chandan K. Reddy, Vaibhav Rajan, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A Stability Boundary Based Method for Finding Saddle Points on Potential Energy Surfaces

Hsiao-Dong Chiang, Chandan K. Reddy, 2006, J. Comput. Biol..

A distributed ensemble approach for mining healthcare data under privacy constraints

Yan Li, Chandan K. Reddy, Changxin Bai, 2016, Inf. Sci..

A Bayesian Perspective on Early Stage Event Prediction in Longitudinal Data

Ping Wang, Sanjay Chawla, Chandan K. Reddy, 2016, IEEE Transactions on Knowledge and Data Engineering.

DyLink2Vec: Effective Feature Representation for Link Prediction in Dynamic Networks pdf

Mohammad Al Hasan, Mahmudur Rahman, Chandan K. Reddy, 2018, ArXiv.

Deep Transfer Reinforcement Learning for Text Summarization

Naren Ramakrishnan, Chandan K. Reddy, Yaser Keneshloo, 2018, SDM.

Doubly supervised embedding based on class labels and intrinsic clusters for high-dimensional data visualization

Jaegul Choo, Haesun Park, Chandan K. Reddy, 2015, Neurocomputing.

A Probabilistic Geographical Aspect-Opinion Model for Geo-Tagged Microblogs

Wei Lu, Kathleen M. Carley, Chandan K. Reddy, 2017, 2017 IEEE International Conference on Data Mining (ICDM).

UTOPIAN: User-Driven Topic Modeling Based on Interactive Nonnegative Matrix Factorization

Jaegul Choo, Changhyun Lee, Haesun Park, 2013, IEEE Transactions on Visualization and Computer Graphics.

Document-Level Multi-Aspect Sentiment Classification for Online Reviews of Medical Experts

Suhang Wang, Chandan K. Reddy, Tian Shi, 2019, CIKM.

A survey on platforms for big data analytics

Dilpreet Singh, Chandan K. Reddy, C. Reddy, 2014, Journal of Big Data.

Probabilistic Group Recommendation Model for Crowdfunding Domains

Wang-Chien Lee, Chandan K. Reddy, Vineeth Rakesh, 2016, WSDM.

Cox Regression with Correlation Based Regularization for Electronic Health Records

Bhanukiran Vinzamuri, Chandan K. Reddy, C. Reddy, 2013, 2013 IEEE 13th International Conference on Data Mining.

Multi-Task Clustering using Constrained Symmetric Non-Negative Matrix Factorization

Chandan K. Reddy, Samir Al-Stouhi, 2014, SDM.

Regularized Parametric Regression for High-dimensional Survival Analysis

Yan Li, Chandan K. Reddy, Kevin S. Xu, 2016, SDM.

Scale-Space Kernels for Additive Modeling

Jin Hyeong Park, Chandan K. Reddy, C. Reddy, 2008, SSPR/SPR.

Optimizing debt collections using constrained reinforcement learning

Naoki Abe, David L. Jensen, Chandan K. Reddy, 2010, KDD.

Visual Analytics for Healthcare

Charu C. Aggarwal, Chandan K. Reddy, 2015 .

Computer-Assisted Medical Image Analysis Systems

Charu C. Aggarwal, Chandan K. Reddy, 2015 .

Introduction to the special section on intelligent systems for health informatics

Chandan K. Reddy, Cristopher C. Yang, 2013, TIST.

Tax Collections Optimization for New York State

Naoki Abe, David L. Jensen, Chandan K. Reddy, 2012, Interfaces.

Hierarchical multi-label classification for protein function prediction going beyond traditional approaches

Farshad Fotouhi, Chandan K. Reddy, Noor Alaydie, 2012 .

Image Generation Via Minimizing Fréchet Distance in Discriminator Feature Space pdf

Chandan K. Reddy, Khoa D. Doan, Saurav Manchanda, 2020, ArXiv.

Deliberate Self-Attention Network with Uncertainty Estimation for Multi-Aspect Review Rating Prediction pdf

Chandan K. Reddy, Tian Shi, Ping Wang, 2020, ArXiv.

Constrained elastic net based knowledge transfer for healthcare information exchange

Bhanukiran Vinzamuri, Yan Li, Chandan K. Reddy, 2014, Data Mining and Knowledge Discovery.

Transfer learning for class imbalance problems with inadequate data

Chandan K. Reddy, Samir Al-Stouhi, 2015, Knowledge and Information Systems.

Clustering Biological Data

Mohammad Al Hasan, Mohammed J. Zaki, Chandan K. Reddy, 2018, Data Clustering: Algorithms and Applications.

Neural Abstractive Text Summarization with Sequence-to-Sequence Models

Naren Ramakrishnan, Chandan K. Reddy, Tian Shi, 2018, Trans. Data Sci..

Boosting Methods for Protein Fold Recognition: An Empirical Comparison

Chandan K. Reddy, Yazhene Krishnaraj, 2008, 2008 IEEE International Conference on Bioinformatics and Biomedicine.

Localized user-driven topic discovery via boosted ensemble of nonnegative matrix factorization

Jaegul Choo, Joonseok Lee, Chandan K. Reddy, 2018, Knowledge and Information Systems.

Robust prediction from multiple heterogeneous data sources with partial information

Chandan K. Reddy, Mohammad S. Aziz, C. Reddy, 2010, CIKM.

Machine Learning for Survival Analysis

Ping Wang, Yan Li, Chandan K. Reddy, 2019, ACM Comput. Surv..

Efficient Implicit Unsupervised Text Hashing using Adversarial Autoencoder

Chandan K. Reddy, Khoa Doan, Khoa D Doan, 2020, WWW.

A Multi-Task Learning Formulation for Survival Analysis

Jieping Ye, Yan Li, Chandan K. Reddy, 2016, KDD.

Refining motifs by improving information content scores using neighborhood profile search

Hsiao-Dong Chiang, Chandan K. Reddy, Yao-Chung Weng, 2006, Algorithms for Molecular Biology.

Spatio-Temporal Check-in Time Prediction with Recurrent Neural Network based Survival Analysis

Ying Cai, Chandan K. Reddy, Guolei Yang, 2018, IJCAI.

Natural Language Processing and Data Mining for Clinical Text

Charu C. Aggarwal, Chandan K. Reddy, 2015 .

A Sparse Topic Model for Extracting Aspect-Specific Summaries from Online Reviews

Yifan Sun, Nikhil Rao, Weicong Ding, 2018, WWW.

Differential biclustering for gene expression analysis

Chandan K. Reddy, Omar Odibat, Craig N. Giroux, 2010, BCB '10.

A Simple and Effective Self-Supervised Contrastive Learning Framework for Aspect Detection pdf

Chandan K. Reddy, Liuqing Li, Tian Shi, 2020, AAAI.

How Fast Will You Get a Response? Predicting Interval Time for Reciprocal Link Creation

Vachik S. Dave, Mohammad Al Hasan, Chandan K. Reddy, 2017, ICWSM.

Text-to-SQL Generation for Question Answering on Electronic Medical Records

Ping Wang, Chandan K. Reddy, Tian Shi, 2020, WWW.

Language-Agnostic Representation Learning for Product Search on E-Commerce Platforms

Chandan K. Reddy, Karthik Subbian, Nikhil S. Rao, 2020, WSDM.

Exploiting Label Dependency for Hierarchical Multi-label Classification

Farshad Fotouhi, Chandan K. Reddy, Noor Alaydie, 2012, PAKDD.

Scalable and Parallel Boosting with MapReduce

Indranil Palit, Chandan K. Reddy, C. Reddy, 2012, IEEE Transactions on Knowledge and Data Engineering.

A Novel Tensor-Based Temporal Multi-Task Survival Analysis Model

Ping Wang, Chandan K. Reddy, Tian Shi, 2021, IEEE Transactions on Knowledge and Data Engineering.

Machine Learning for Survival Analysis: A Survey pdf

Chandan K. Reddy, Yan Li, Ping Wang, 2017, ArXiv.

Local Topic Discovery via Boosted Ensemble of Nonnegative Matrix Factorization

Jaegul Choo, Joonseok Lee, Chandan K. Reddy, 2017, IJCAI.

Graph-Based Clustering with Constraints

Chandan K. Reddy, Rajul Anand, 2011, PAKDD.

Predicting Complications in Critical Care Using Heterogeneous Clinical Data

Shourya Roy, Chandan K. Reddy, Vaibhav Rajan, 2016, IEEE Access.

Simultaneous Discovery of Common and Discriminative Topics via Joint Nonnegative Matrix Factorization

Jaegul Choo, Haesun Park, Chandan K. Reddy, 2015, KDD.

PIVE: Per-Iteration visualization environment for supporting real-time interactions with computational methods

Jaegul Choo, Changhyun Lee, Haesun Park, 2014, 2014 IEEE Conference on Visual Analytics Science and Technology (VAST).

Data Analytics for Pervasive Health

Charu C. Aggarwal, Chandan K. Reddy, 2015 .

Early-Stage Event Prediction for Longitudinal Data

Sanjay Chawla, Chandan K. Reddy, Mahtab Jahanbani Fard, 2016, PAKDD.

Active Learning Technique for Multimodal Brain Tumor Segmentation Using Limited Labeled Images

Chandan K. Reddy, Andinet Enquobahrie, Samuel Gerber, 2019, DART/MIL3ID@MICCAI.

Component-wise parameter smoothing for learning mixture models

Chandan K. Reddy, Bala Rajaratnam, 2008, 2008 19th International Conference on Pattern Recognition.

Learning mixture models via component-wise parameter smoothing

Chandan K. Reddy, Bala Rajaratnam, C. Reddy, 2010, Comput. Stat. Data Anal..

TRUST-TECH based Methods for Optimization and Learning pdf

Chandan K. Reddy, C. Reddy, 2007, ArXiv.

Mobile Face Capture for Virtual Face Videos

Frank Biocca, Jannick P. Rolland, George C. Stockman, 2004, 2004 Conference on Computer Vision and Pattern Recognition Workshop.

Corpus-level and Concept-based Explanations for Interpretable Document Classification pdf

Ping Wang, Xuchao Zhang, Chandan K. Reddy, 2020, ACM Trans. Knowl. Discov. Data.

Pre-Processing Censored Survival Data Using Inverse Covariance Matrix Based Calibration

Yan Li, Bhanukiran Vinzamuri, Chandan K. Reddy, 2017, IEEE Transactions on Knowledge and Data Engineering.

Mobile Imaging and Analytics for Biomedical Data

Charu C. Aggarwal, Chandan K. Reddy, 2015 .

Scale-Space Based Weak Regressors for Boosting

Jin Hyeong Park, Chandan K. Reddy, C. Reddy, 2007, ECML.

A Review of Clinical Prediction Models

Yan Li, Chandan K. Reddy, C. Reddy, 2015, Healthcare Data Analytics.

Data Clustering

Charu C. Aggarwal, Chandan K. Reddy, C. Aggarwal, 2013 .

Differential Predictive Modeling for Racial Disparities in Breast Cancer

Indranil Palit, Chandan K. Reddy, Kendra L. Schwartz, 2009, 2009 IEEE International Conference on Bioinformatics and Biomedicine.

Data Analytics for Pharmaceutical Discoveries

Charu C. Aggarwal, Chandan K. Reddy, 2015 .

Clinical Decision Support Systems

Chandan K. Reddy, Martin Alther, C. Reddy, 2015 .

Theory and Practice of Expectation Maximization (EM) Algorithm

Chandan K. Reddy, Bala Rajaratnam, C. Reddy, 2009, Encyclopedia of Data Warehousing and Mining.

Retrieval and ranking of biomedical images using boosted haar features

Chandan K. Reddy, Fahima A. Bhuyan, 2008, 2008 8th IEEE International Conference on BioInformatics and BioEngineering.

Project Success Prediction in Crowdfunding Environments

Yan Li, Chandan K. Reddy, Vineeth Rakesh, 2016, WSDM.

Biomedical Signal Analysis

Charu C. Aggarwal, Chandan K. Reddy, 2015 .

A Hierarchical Attention Retrieval Model for Healthcare Question Answering

Ming Zhu, Chandan K. Reddy, Wei Wei, 2019, WWW.

Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs pdf

Chandan K. Reddy, Nurendra Choudhary, Karthik Subbian, 2020, ArXiv.

Feature Grouping Using Weighted l1 Norm for High-Dimensional Data

Bhanukiran Vinzamuri, Chandan K. Reddy, Karthik K. Padthe, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

Modeling local nonlinear correlations using subspace principal curves

Chandan K. Reddy, Mohammad S. Aziz, C. Reddy, 2010, Stat. Anal. Data Min..

Survival Analysis based Framework for Early Prediction of Student Dropouts

Ratna Babu Chinnam, Chandan K. Reddy, Mahtab Jahanbani Fard, 2016, CIKM.

Stability Region Based Expectation Maximization for Model-based Clustering

Hsiao-Dong Chiang, Chandan K. Reddy, Bala Rajaratnam, 2006, Sixth International Conference on Data Mining (ICDM'06).

Regularized Weighted Linear Regression for High-dimensional Censored Data

Bhanukiran Vinzamuri, Yan Li, Chandan K. Reddy, 2016, SDM.

Predictive Models for Integrating Clinical and Genomic Data

Charu C. Aggarwal, Chandan K. Reddy, 2015 .

Differentially Private Synthetic Medical Data Generation using Convolutional GANs pdf

Edward A. Fox, Amirsina Torfi, Chandan K. Reddy, 2020, Inf. Sci..

Educational and Software Resources for Data Clustering

Charu C. Aggarwal, Chandan K. Reddy, 2013, Data Clustering: Algorithms and Applications.

A Generalized Framework for Mining Arbitrarily Positioned Overlapping Co-clusters

Chandan K. Reddy, Omar Odibat, C. Reddy, 2011, SDM.

Ranking differential genes in co-expression networks

Chandan K. Reddy, Omar Odibat, C. Reddy, 2011, BCB '11.

Probabilistic Social Sequential Model for Tour Recommendation

Alexander Kotov, Chandan K. Reddy, Vineeth Rakesh, 2017, WSDM.

Geographical Latent Variable Models for Microblog Retrieval

Eugene Agichtein, Alexander Kotov, Chandan K. Reddy, 2015, ECIR.

Fair Representation Learning using Interpolation Enabled Disentanglement pdf

Bhanukiran Vinzamuri, Chandan K. Reddy, Akshita Jha, 2021, ArXiv.

Supervised Contrastive Learning for Interpretable Long Document Comparison pdf

Jaideep Chandrashekar, Chandan K. Reddy, Vineeth Rakesh, 2021, ArXiv.

Self-Supervised Graph Learning With Hyperbolic Embedding for Temporal Health Event Prediction

Chandan K. Reddy, Yue Ning, Chang Lu, 2021, IEEE Transactions on Cybernetics.

Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs

Chandan K. Reddy, Nurendra Choudhary, Karthik Subbian, 2021, WWW.

Self-supervised Transformer for Multivariate Clinical Time-Series with Missing Values pdf

Chandan K. Reddy, Sindhu Tipirneni, 2021, ArXiv.

Interpretable Graph Similarity Computation via Differentiable Optimal Alignment of Node Embeddings

Chandan K. Reddy, Saurav Manchanda, Suchismit Mahapatra, 2021, SIGIR.

Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare pdf

Chandan K. Reddy, Yue Ning, Prithwish Chakraborty, 2021, IJCAI.

Workshop on Data-Efficient Machine Learning (DeMaL)

Chandan K. Reddy, Sumeet Katariya, Nikhil Rao, 2021, KDD.

T-Miner: A Generative Approach to Defend Against Trojan Attacks on DNN-based Text Classification

Bimal Viswanath, Chandan K. Reddy, Neal Mangaokar, 2021, USENIX Security Symposium.

Probabilistic Entity Representation Model for Reasoning over Knowledge Graphs pdf

Chandan K. Reddy, Nurendra Choudhary, Karthik Subbian, 2021, NeurIPS.

Attention-based Aspect Reasoning for Knowledge Base Question Answering on Clinical Notes pdf

Khushbu Agarwal, Sutanay Choudhury, Chandan K. Reddy, 2021, ArXiv.

Mining of Sensor Data in Healthcare: A Survey

Charu C. Aggarwal, Chandan K. Reddy, 2015 .

Hierarchical Boosting for Gene Function Prediction

Farshad Fotouhi, Chandan K. Reddy, Noor Alaydie, 2010 .

Joint Impact of Clinical and Behavioral Variables on the Risk of Unplanned Readmission and Death after a Heart Failure Hospitalization

Chandan K. Reddy, Yan Li, Badri Padhukasahasram, 2015, PloS one.

Self-Supervised Transformer for Sparse and Irregularly Sampled Multivariate Clinical Time-Series

Chandan K. Reddy, C. Reddy, S. Tipirneni, 2021, ACM Trans. Knowl. Discov. Data.

Machine Learning for Survival Analysis: A Survey

Chandan K. Reddy, C. Reddy, Yan Li, 2017, ArXiv.

Multi-Label Clinical Time-Series Generation via Conditional GAN

Chandan K. Reddy, C. Reddy, Yue Ning, 2022, IEEE Transactions on Knowledge and Data Engineering.

MedFuseNet: An attention-based multimodal deep learning model for visual question answering in the medical domain

Chandan K. Reddy, C. Reddy, S. Purushotham, 2021, Scientific Reports.

CodeAttack: Code-based Adversarial Attacks for Pre-Trained Programming Language Models

Chandan K. Reddy, C. Reddy, Akshita Jha, 2022, AAAI.

Preparing for the next pandemic via transfer learning from existing diseases with hierarchical multi-modal BERT: a study on COVID-19 outcome prediction

Chandan K. Reddy, O. Gevaert, S. Tamang, 2022, Scientific Reports.

Semi-Supervised Deep Learning Approach for Transportation Mode Identification Using GPS Trajectory Data

Chandan K. Reddy, K. Heaslip, Chang-Tien Lu, 2020, IEEE Transactions on Knowledge and Data Engineering.

Multilingual Code Snippets Training for Program Translation

Chandan K. Reddy, C. Reddy, Karthik Suresh, 2022, AAAI.

XLCoST: A Benchmark Dataset for Cross-lingual Code Intelligence

Chandan K. Reddy, C. Reddy, Karthik Suresh, 2022, ArXiv.

Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs

Chandan K. Reddy, Nikhil S. Rao, S. Katariya, 2020, WWW.

A Translate-Edit Model for Natural Language Question to SQL Query Generation on Multi-relational Healthcare Data

Chandan K. Reddy, C. Reddy, Tian Shi, 2019, ArXiv.

A dual boundary classifier for predicting acute hypotensive episodes in critical care

Chandan K. Reddy, Vaibhav Rajan, Sakyajit Bhattacharya, 2018, PloS one.

Identifying TBI Physiological States by Clustering Multivariate Clinical Time-Series Data.

Chandan K. Reddy, V. Subbian, B. Foreman, 2023, AMIA ... Annual Symposium proceedings. AMIA Symposium.

Identifying TBI Physiological States by Clustering of Multivariate Clinical Time-Series

Chandan K. Reddy, V. Subbian, B. Foreman, 2023, ArXiv.

Biclustering with Background Knowledge using Formal Concept Analysis

Chandan K. Reddy, J. Bader, C. Reddy, 2012 .

A hybrid prediction model for no-shows and cancellations of outpatient appointments

Kai Yang, Chandan K. Reddy, Pamela Reeves, 2015 .

A probabilistic model for predicting the probability of no-show in hospital appointments

Chandan K. Reddy, A. Alaeddini, Kai Yang, 2011, Health care management science.

Probabilistic Topic Modeling for Comparative Analysis of Document Collections

Chandan K. Reddy, Chang-Tien Lu, J. Choo, 2020, ACM Trans. Knowl. Discov. Data.

SeeGULL: A Stereotype Benchmark with Broad Geo-Cultural Coverage Leveraging Generative Models

Chandan K. Reddy, C. Reddy, Sunipa Dev, 2023, ACL.

Hierarchical multi-label classification for protein function prediction going beyond traditional approaches

Chandan K. Reddy, C. Reddy, F. Fotouhi, 2012 .

NoiseScope: Detecting Deepfake Images in a Blind Setting

Bimal Viswanath, Chandan K. Reddy, Bolun Wang, 2020, ACSAC.

Predicting interval time for reciprocal link creation using survival analysis

Vachik S. Dave, Chandan K. Reddy, M. Hasan, 2018, Social Network Analysis and Mining.