List of works - Chandan K. Reddy

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

article

A Distributed Ensemble Approach for Mining Healthcare Data under Privacy Constraints

scientific article published in February 2016

A Robust Seedless Algorithm for Correlation Clustering

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

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

scientific article published on 23 February 2018

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

scientific article published in February 2011

A stability boundary based method for finding saddle points on potential energy surfaces

scientific article published in April 2006

A survey on platforms for big data analytics

scientific article published on 9 October 2014

Active Learning based Survival Regression for Censored Data

Adaptive Boosting for Transfer Learning Using Dynamic Updates

An Interpretable Ensemble of Graph and Language Models for Improving Search Relevance in E-Commerce

scientific article published on 12 May 2024

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

Boosting Methods for Protein Fold Recognition: An Empirical Comparison

CMEIAS color segmentation: an improved computing technology to process color images for quantitative microbial ecology studies at single-cell resolution

scientific article

Constrained Logistic Regression for Discriminative Pattern Mining

article by Rajul Anand & Chandan K. Reddy published 2011 in Lecture Notes in Computer Science

Constrained elastic net based knowledge transfer for healthcare information exchange

article

Cox Regression with Correlation Based Regularization for Electronic Health Records

article

Deep Reinforcement Learning for Sequence-to-Sequence Models

scientific article published on 15 August 2019

Diagnostic Yield of FDG-PET/CT, MRI, and CSF Cytology in Non-Biopsiable Neurolymphomatosis as a Heralding Sign of Recurrent Non-Hodgkin's Lymphoma

scientific article published on 9 September 2015

Differential Predictive Modeling for Racial Disparities in Breast Cancer

Differential biclustering for gene expression analysis

article

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

scholarly article by Hannah Kim et al published February 2015 in Neurocomputing

Early-Stage Event Prediction for Longitudinal Data

Efficient Mining of Discriminative Co-clusters from Gene Expression Data

scientific article

Exploiting Label Dependency for Hierarchical Multi-label Classification

Extracting Structured Labor Market Information from Job Postings with Generative AI

scientific article published on 11 July 2024

Finding saddle points using stability boundaries

Generating hypotheses of trends in high-dimensional data skeletons

Improving Sound Localization for Hearing Aid Devices Using Smartphone Assisted Technology

International Workshop on Multimodal Learning - 2023 Theme: Multimodal Learning with Foundation Models

scientific article published on 04 August 2023

Introduction to the special section on intelligent systems for health informatics

article

Joint impact of clinical and behavioral variables on the risk of unplanned readmission and death after a heart failure hospitalization

scientific article published on 4 June 2015

KDD workshop on Evaluation and Trustworthiness of Generative AI Models

scientific article published on 25 August 2024

Learning mixture models via component-wise parameter smoothing

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

Location-specific tweet detection and topic summarization in Twitter

scholarly article published 2013

Looking for Great Ideas: Analyzing the Innovation Jam

article

Looking for great ideas

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

scientific article published on 06 October 2021

Modeling local nonlinear correlations using subspace principal curves

Multi-resolution Boosting for Classification and Regression Problems

article published in 2009

Multi-resolution boosting for classification and regression problems

Neighborhood Profile Search for Motif Refinement

Noise and Outlier Filtering in Heterogeneous Medical Data Sources

Novel information theoretic and Bayesian approach to fMRI data analysis

Optimizing debt collections using constrained reinforcement learning

scholarly article published 2010

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

scholarly article published October 2014

Parallelized Boosting with Map-Reduce

scholarly article published December 2010

Powerful Tests for Multi-Marker Association Analysis Using Ensemble Learning

scientific article published on 30 November 2015

Precision surgery of rolandic glioma and insights from extended functional mapping

scientific article

Predicting gene functions from multiple biological sources using novel ensemble methods.

scientific article published on January 2015

Predicting interval time for reciprocal link creation using survival analysis

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

scientific article published in July 2017

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

scientific article published in 2022

Probabilistic Group Recommendation Model for Crowdfunding Domains

article

Project Success Prediction in Crowdfunding Environments

RODS: Rarity based Outlier Detection in a Sparse Coding Framework

Ranking differential genes in co-expression networks

article

Ranking differential hubs in gene co-expression networks

scientific article published in February 2012

Refining motifs by improving information content scores using neighborhood profile search.

scientific article published on 27 November 2006

Retrieval and ranking of biomedical images using boosted haar features

Robust prediction from multiple heterogeneous data sources with partial information

STAPLE: Spatio-Temporal Precursor Learning for Event Forecasting

Scalable and Parallel Boosting with MapReduce

Scale-Space Kernels for Additive Modeling

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

scientific article published in 2021

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

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

Stability Region Based Expectation Maximization for Model-based Clustering

StructCoder: Structure-Aware Transformer for Code Generation

scientific article published on 07 December 2023

Supervised Contrastive Learning for Interpretable Long-Form Document Matching

scientific article published on 11 June 2022

Systems analysis reveals a transcriptional reversal of the mesenchymal phenotype induced by SNAIL-inhibitor GN-25.

scientific article published on 03 September 2013

TRUST-TECH Based Neural Network Training

TRUST-TECH-based expectation maximization for learning finite mixture models

scientific article

Tax Collections Optimization for New York State

The Use of Botulinum Toxin Injection for Brachial Plexus Birth Injuries: A Systematic Review of the Literature.

scientific article published in March 2018

Theory and Practice of Expectation Maximization (EM) Algorithm

Transfer Learning for Class Imbalance Problems with Inadequate Data

scientific article

UTOPIAN: user-driven topic modeling based on interactive nonnegative matrix factorization

scientific article

List of works by Chandan K. Reddy

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

A Distributed Ensemble Approach for Mining Healthcare Data under Privacy Constraints

A Robust Seedless Algorithm for Correlation Clustering

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

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

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

A stability boundary based method for finding saddle points on potential energy surfaces

A survey on platforms for big data analytics

Active Learning based Survival Regression for Censored Data

Adaptive Boosting for Transfer Learning Using Dynamic Updates

An Interpretable Ensemble of Graph and Language Models for Improving Search Relevance in E-Commerce

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

Boosting Methods for Protein Fold Recognition: An Empirical Comparison

CMEIAS color segmentation: an improved computing technology to process color images for quantitative microbial ecology studies at single-cell resolution

Constrained Logistic Regression for Discriminative Pattern Mining

Constrained elastic net based knowledge transfer for healthcare information exchange

Cox Regression with Correlation Based Regularization for Electronic Health Records

Deep Reinforcement Learning for Sequence-to-Sequence Models

Diagnostic Yield of FDG-PET/CT, MRI, and CSF Cytology in Non-Biopsiable Neurolymphomatosis as a Heralding Sign of Recurrent Non-Hodgkin's Lymphoma

Differential Predictive Modeling for Racial Disparities in Breast Cancer

Differential biclustering for gene expression analysis

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

Early-Stage Event Prediction for Longitudinal Data

Efficient Mining of Discriminative Co-clusters from Gene Expression Data

Exploiting Label Dependency for Hierarchical Multi-label Classification

Extracting Structured Labor Market Information from Job Postings with Generative AI

Finding saddle points using stability boundaries

Generating hypotheses of trends in high-dimensional data skeletons

Improving Sound Localization for Hearing Aid Devices Using Smartphone Assisted Technology

International Workshop on Multimodal Learning - 2023 Theme: Multimodal Learning with Foundation Models

Introduction to the special section on intelligent systems for health informatics

Joint impact of clinical and behavioral variables on the risk of unplanned readmission and death after a heart failure hospitalization

KDD workshop on Evaluation and Trustworthiness of Generative AI Models

Learning mixture models via component-wise parameter smoothing

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

Location-specific tweet detection and topic summarization in Twitter

Looking for Great Ideas: Analyzing the Innovation Jam

Looking for great ideas

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

Modeling local nonlinear correlations using subspace principal curves

Multi-resolution Boosting for Classification and Regression Problems

Multi-resolution boosting for classification and regression problems

Neighborhood Profile Search for Motif Refinement

Noise and Outlier Filtering in Heterogeneous Medical Data Sources

Novel information theoretic and Bayesian approach to fMRI data analysis

Optimizing debt collections using constrained reinforcement learning

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

Parallelized Boosting with Map-Reduce

Powerful Tests for Multi-Marker Association Analysis Using Ensemble Learning

Precision surgery of rolandic glioma and insights from extended functional mapping

Predicting gene functions from multiple biological sources using novel ensemble methods.

Predicting interval time for reciprocal link creation using survival analysis

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

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

Probabilistic Group Recommendation Model for Crowdfunding Domains

Project Success Prediction in Crowdfunding Environments

RODS: Rarity based Outlier Detection in a Sparse Coding Framework

Ranking differential genes in co-expression networks

Ranking differential hubs in gene co-expression networks

Refining motifs by improving information content scores using neighborhood profile search.

Retrieval and ranking of biomedical images using boosted haar features

Robust prediction from multiple heterogeneous data sources with partial information

STAPLE: Spatio-Temporal Precursor Learning for Event Forecasting

Scalable and Parallel Boosting with MapReduce

Scale-Space Kernels for Additive Modeling

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

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

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

Stability Region Based Expectation Maximization for Model-based Clustering

StructCoder: Structure-Aware Transformer for Code Generation

Supervised Contrastive Learning for Interpretable Long-Form Document Matching

Systems analysis reveals a transcriptional reversal of the mesenchymal phenotype induced by SNAIL-inhibitor GN-25.

TRUST-TECH Based Neural Network Training

TRUST-TECH-based expectation maximization for learning finite mixture models

Tax Collections Optimization for New York State

The Use of Botulinum Toxin Injection for Brachial Plexus Birth Injuries: A Systematic Review of the Literature.

Theory and Practice of Expectation Maximization (EM) Algorithm

Transfer Learning for Class Imbalance Problems with Inadequate Data

UTOPIAN: user-driven topic modeling based on interactive nonnegative matrix factorization