Ankur Teredesai

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 38

Top Topics

Data Mining Framework

Machine Learning

Rough Approximations

Top Venues

Publications

Ankur Teredesai, Michael Zeller, Mohak Shah, Shenghua Bao, Wee Hyong Tok, Linsey Pang
The 2nd International Workshop: From Innovation to Scale (I2S) - Successfully Build, Commercialize, and Scale AI Innovations. KDD (2024)
Jodi Chiam, Aloysius Lim, Ankur Teredesai
NudgeRank: Digital Algorithmic Nudging for Personalized Health. CoRR (2024)
Jodi Chiam, Aloysius Lim, Ankur Teredesai
NudgeRank: Digital Algorithmic Nudging for Personalized Health. KDD (2024)
Jodi Chiam, Aloysius Lim, Cheryl Nott, Nicholas M. Mark, Ankur Teredesai, Sunil Shinde
Co-Pilot for Health: Personalized Algorithmic AI Nudging to Improve Health Outcomes. CoRR (2024)
Kevin Ewig, Xiangwen Lin, Tucker Stewart, Katherine Stern, Grant E. O'Keefe, Ankur Teredesai, Juhua Hu
Multi-Subset Approach to Early Sepsis Prediction. CoRR (2023)
Tucker Stewart, Katherine Stern, Grant E. O'Keefe, Ankur Teredesai, Juhua Hu
NPRL: Nightly Profile Representation Learning for Early Sepsis Onset Prediction in ICU Trauma Patients. BigData (2023)
Tucker Stewart, Katherine Stern, Grant E. O'Keefe, Ankur Teredesai, Juhua Hu
NPRL: Nightly Profile Representation Learning for Early Sepsis Onset Prediction in ICU Trauma Patients. CoRR (2023)
Ankur Teredesai
Social Public Health Infrastructure for a Smart City Citizen Patient: Advances and Opportunities for AI Driven Disruptive Innovation. WSDM (2023)
Alberto Arias Maestro, Oscar Sanjuán Martínez, Ankur Teredesai, Vicente García-Díaz
Blockchain Based Cloud Management Architecture for Maximum Availability. Int. J. Interact. Multim. Artif. Intell. 8 (1) (2023)
Ankur Teredesai, Sijin Huang, Tucker Stewart, Juhua Hu, Armaan Thakker, Katherine Stern, Grant E. O'Keefe
Sub-Sequence Graph Representation Learning on High Variability Data for Dynamic Risk Prediction in Critical Care. Big Data (2022)
Muhammad Aurangzeb Ahmad, Steve Overman, Christine Allen, Vikas Kumar, Ankur Teredesai, Carly Eckert
Software as a Medical Device: Regulating AI in Healthcare via Responsible AI. KDD (2021)
Muhammad Aurangzeb Ahmad, Eduardo Trujillo-Rivera, Pollack M. D. Murray, Eckert M. D. Carly, Patel M. D. Anita, Ankur Teredesai
Machine Learning Approaches for Patient State Prediction in Pediatric ICUs. ICHI (2021)
Karthik K. Padthe, Vikas Kumar, Carly M. Eckert, Nicholas M. Mark, Anam Zahid, Muhammad Aurangzeb Ahmad, Ankur Teredesai
Emergency Department Optimization and Load Prediction in Hospitals. CoRR (2021)
Aloysius Lim, Ashish Singh, Jody Chiam, Carly Eckert, Vikas Kumar, Muhammad Aurangzeb Ahmad, Ankur Teredesai
Machine Learning Approaches for Type 2 Diabetes Prediction and Care Management. CoRR (2021)
Christine Allen, Juhua Hu, Vikas Kumar, Muhammad Aurangzeb Ahmad, Ankur Teredesai
Interpretable Phenotyping for Electronic Health Records. ICHI (2021)
Muhammad Aurangzeb Ahmad, Carly Eckert, Christine Allen, Vikas Kumar, Juhua Hu, Ankur Teredesai
Fairness in Healthcare AI. ICHI (2021)
Ming Yuan, Vikas Kumar, Muhammad Aurangzeb Ahmad, Ankur Teredesai
Assessing Fairness in Classification Parity of Machine Learning Models in Healthcare. CoRR (2021)
Muhammad Aurangzeb Ahmad, Barrett Larson, Steve Overman, Vikas Kumar, Jing Xie, Alan Rossington, Ankur Patel, Ankur Teredesai
Machine Learning Approaches for Pressure Injury Prediction. ICHI (2021)
Boris Kovalerchuk, Muhammad Aurangzeb Ahmad, Ankur Teredesai
Survey of explainable machine learning with visual and granular methods beyond quasi-explanations. CoRR (2020)
Karthik K. Padthe, Vikas Kumar, Carly M. Eckert, Nicholas M. Mark, Anam Zahid, Muhammad Aurangzeb Ahmad, Ankur Teredesai
Emergency Department Optimization and Load Prediction in Hospitals. AI4SG@AAAI Fall Symposium (2020)
Muhammad Aurangzeb Ahmad, Arpit Patel, Carly Eckert, Vikas Kumar, Ankur Teredesai
Fairness in Machine Learning for Healthcare. KDD (2020)
Muhammad Aurangzeb Ahmad, Ankur Teredesai, Carly Eckert
Fairness, accountability, transparency in AI at scale: lessons from national programs. FAT* (2020)
Ming Yuan, Muhammad Ahmad, Vikas Kumar, Ankur Teredesai
Assessing Fairness in Classification Parity of Machine Learning Models in Healthcare. AI4SG@AAAI Fall Symposium (2020)
Muhammad Aurangzeb Ahmad, Carly Eckert, Ankur Teredesai
The Challenge of Imputation in Explainable Artificial Intelligence Models. CoRR (2019)
Carly Eckert, Neris Nieves-Robbins, Elena Spieker, Tom Louwers, David Hazel, James Marquardt, Keith Solveson, Anam Zahid, Muhammad Ahmad, Richard Barnhill, T. Greg McKelvey, Robert Marshall, Eric A. Shry, Ankur Teredesai
Development and Prospective Validation of a Machine Learning-Based Risk of Readmission Model in a Large Military Hospital. Appl. Clin. Inform. 10 (02) (2019)
Abdeltawab M. Hendawi, Jayant Gupta, Jiayi Liu, Ankur Teredesai, Naveen Ramakrishnan, Mohak Shah, Shaker H. Ali El-Sappagh, Kyung-Sup Kwak, Mohamed H. Ali
Benchmarking large-scale data management for Internet of Things. J. Supercomput. 75 (12) (2019)
Muhammad Aurangzeb Ahmad, Carly Eckert, Ankur Teredesai
The Challenge of Imputation in Explainable Artificial Intelligence Models. AISafety@IJCAI (2019)
Muhammad Aurangzeb Ahmad, Carly Eckert, Ankur Teredesai
Interpretable Machine Learning in Healthcare. BCB (2018)
Muhammad Aurangzeb Ahmad, Ankur Teredesai, Carly Eckert
Interpretable Machine Learning in Healthcare. ICHI (2018)
Muhammad A. Ahmad, Carly Eckert, Greg McKelvey, Kiyana Zolfaghar, Anam Zahid, Ankur Teredesai
Death vs. Data Science: Predicting End of Life. AAAI (2018)
Kyle Fritchman, Keerthanaa Saminathan, Rafael Dowsley, Tyler Hughes, Martine De Cock, Anderson C. A. Nascimento, Ankur Teredesai
Privacy-Preserving Scoring of Tree Ensembles: A Novel Framework for AI in Healthcare. IEEE BigData (2018)
Abdeltawab M. Hendawi, Jayant Gupta, Jiayi Liu, Ankur Teredesai, Naveen Ramakrishnan, Mohak Shah, Mohamed H. Ali
Distributed NoSQL Data Stores: Performance Analysis and a Case Study. IEEE BigData (2018)
Jianle Chen, Tianqi Xiao, Jie Sheng, Ankur Teredesai
Gender prediction on a real life blog data set using LSI and KNN. CCWC (2017)
Abdeltawab M. Hendawi, Aqeel Rustum, Amr A. Ahmadain, David Hazel, Ankur Teredesai, Dev Oliver, Mohamed H. Ali, John A. Stankovic
Smart Personalized Routing for Smart Cities. ICDE (2017)
Qiaozhi Li, Jie Sheng, Ankur Teredesai
Kernel based principal axis tree. CCWC (2017)
Shanu Sushmita, Garima Khulbe, Aftab Hasan, Stacey Newman, Padmashree Ravindra, Senjuti Basu Roy, Martine De Cock, Ankur Teredesai
Predicting 30-Day Risk and Cost of "All-Cause" Hospital Readmissions. AAAI Workshop: Expanding the Boundaries of Health Informatics Using AI (2016)
Chun Pan Hon, Mayana Pereira, Shanu Sushmita, Ankur Teredesai, Martine De Cock
Risk Stratification for Hospital Readmission of Heart Failure Patients: A Machine Learning Approach. BCB (2016)
Abdeltawab M. Hendawi, Aqeel Rustum, Amr A. Ahmadain, Dev Oliver, David Hazel, Ankur Teredesai, Mohamed H. Ali
Dynamic and Personalized Routing in PreGo. MDM (2016)
Abdeltawab M. Hendawi, Amruta Khot, Aqeel Rustum, Anas Basalamah, Ankur Teredesai, Mohamed H. Ali
A Map-Matching Aware Framework for Road Network Compression. MDM (1) (2015)
Sergio Davalos, Altaf Merchant, Gregory M. Rose, Brenton Lessley, Ankur Teredesai
'The good old days': An examination of nostalgia in Facebook posts. Int. J. Hum. Comput. Stud. 83 (2015)
Shanu Sushmita, Stacey Newman, James Marquardt, Prabhu Ram, Viren Prasad, Martine De Cock, Ankur Teredesai
Population Cost Prediction on Public Healthcare Datasets. Digital Health (2015)
Senjuti Basu Roy, Ankur Teredesai, Kiyana Zolfaghar, Rui Liu, David Hazel, Stacey Newman, Albert Marinez
Dynamic Hierarchical Classification for Patient Risk-of-Readmission. KDD (2015)
Sarah Vluymans, Hasan Asfoor, Yvan Saeys, Chris Cornelis, Matthew E. Tolentino, Ankur Teredesai, Martine De Cock
Distributed fuzzy rough prototype selection for Big Data regression. NAFIPS/WConSC (2015)
Abdelrahman Elogeel, Andrey Kolobov, Matthew Alden, Ankur Teredesai
Selecting Robust Strategies in RTS Games via Concurrent Plan Augmentation. AAMAS (2015)
Sarah Vluymans, Yvan Saeys, Chris Cornelis, Ankur Teredesai, Martine De Cock
Fuzzy Rough Set Prototype Selection for Regression. FUZZ-IEEE (2015)
Golnoosh Farnadi, Zeinab Mahdavifar, Ivan Keller, Jacob Nelson, Ankur Teredesai, Marie-Francine Moens, Martine De Cock
Scalable adaptive label propagation in Grappa. IEEE BigData (2015)
Abdeltawab M. Hendawi, Amruta Khot, Aqeel Rustum, Anas Basalamah, Ankur Teredesai, Mohamed H. Ali
COMA: Road Network Compression for Map-Matching. MDM (1) (2015)
Yitao Li, Ling Ding, Jie Sheng, Cong Liu, Ankur Teredesai
An Effective Message Forwarding Algorithm for Delay Tolerant Network with Cyclic Probabilistic Influences. MSN (2014)
James Marquardt, Stacey Newman, Deepa Hattarki, Rajagopalan Srinivasan, Shanu Sushmita, Prabhu Ram, Viren Prasad, David Hazel, Archana Ramesh, Martine De Cock, Ankur Teredesai
HealthSCOPE: An Interactive Distributed Data Mining Framework for Scalable Prediction of Healthcare Costs. ICDM Workshops (2014)
Rui Liu, Kiyana Zolfaghar, Si-Chi Chin, Senjuti Basu Roy, Ankur Teredesai
A Framework to Recommend Interventions for 30-Day Heart Failure Readmission Risk. ICDM (2014)
Hasan Asfoor, Rajagopalan Srinivasan, Gayathri Vasudevan, Nele Verbiest, Chris Cornelis, Matthew E. Tolentino, Ankur Teredesai, Martine De Cock
Computing fuzzy rough approximations in large scale information systems. IEEE BigData (2014)
Muaz Mian, Ankur Teredesai, David Hazel, Sreenivasulu Pokuri, Krishna Uppala
Work in Progress - In-Memory Analysis for Healthcare Big Data. BigData Congress (2014)
Amruta Khot, Abdeltawab M. Hendawi, Anderson C. A. Nascimento, Raj S. Katti, Ankur Teredesai, Mohamed H. Ali
Road network compression techniques in spatiotemporal embedded systems: a survey. IWGS (2014)
Ji Zhang, Jie Sheng, Ankur Teredesai
Visual Tracking via Supervised Similarity Matching. ACCV (5) (2014)
James Marquardt, Golnoosh Farnadi, Gayathri Vasudevan, Marie-Francine Moens, Sergio Davalos, Ankur Teredesai, Martine De Cock
Age and Gender Identification in Social Media. CLEF (Working Notes) (2014)
Yuqing Zhu, Yiwei Jiang, Weili Wu, Ling Ding, Ankur Teredesai, Deying Li, Wonjun Lee
Minimizing makespan and total completion time in MapReduce-like systems. INFOCOM (2014)
Aniruddha Desai, Muaz Mian, David Hazel, Ankur Teredesai, Gregory Benner
Data Visualization in Educational Datasets Using a Rule-Based Inference System. BigData Congress (2014)
YiRu Li, Sarah George, Craig Apfelbeck, Abdeltawab M. Hendawi, David Hazel, Ankur Teredesai, Mohamed H. Ali
Routing service with real world severe weather. SIGSPATIAL/GIS (2014)
Si-Chi Chin, Kiyana Zolfaghar, Senjuti Basu Roy, Ankur Teredesai, Paul Amoroso
Divide-n-Discover - Discretization based Data Exploration Framework for Healthcare Analytics. HEALTHINF (2014)
Si-Chi Chin, Rui Liu, Ankur Teredesai
Cohort-Based Discretization of Continuous Clinical Features to Discover Readmission Risk Factors for Heart Failure Patients. AMIA (2014)
Lim-Kwan Kong, Jie Sheng, Ankur Teredesai
Basic Micro-Aerial Vehicles (MAVs) obstacles avoidance using monocular computer vision. ICARCV (2014)
Kiyana Zolfaghar, Nele Verbiest, Jayshree Agarwal, Naren Meadem, Si-Chi Chin, Senjuti Basu Roy, Ankur Teredesai, David Hazel, Paul Amoroso, Lester Reed
Predicting Risk-of-Readmission for Congestive Heart Failure Patients: A Multi-Layer Approach. CoRR (2013)
Archana Ramesh, Ankur Teredesai, Ashish Bindra, Sreenivasulu Pokuri, Krishna Uppala
Audience segment expansion using distributed in-database k-means clustering. AdKDD@KDD (2013)
Robert L. Walter, Sergey Berezin, Ankur Teredesai
ChronoZoom: travel through time for education, exploration, and information technology research. RIIT (2013)
Kiyana Zolfaghar, Naren Meadem, Ankur Teredesai, Senjuti Basu Roy, Si-Chi Chin, Brian Muckian
Big data solutions for predicting risk-of-readmission for congestive heart failure patients. IEEE BigData (2013)
Ashish Bindra, Srinivasulu Pokuri, Krishna Uppala, Ankur Teredesai
Distributed Big Advertiser Data Mining. ICDM Workshops (2012)
Mohamed H. Ali, John Krumm, Travis Rautman, Ankur Teredesai
ACM SIGSPATIAL GIS Cup 2012. SIGSPATIAL/GIS (2012)
Junqing Shang, Eric P. Pepin, Eric Johnson, David Hazel, Ankur Teredesai, Alan Kristal, Alexander V. Mamishev
Dietary intake assessment using integrated sensors and software. Multimedia on Mobile Devices / Multimedia Content Access: Algorithms and Systems (2012)
Patricia Victor, Chris Cornelis, Martine De Cock, Ankur Teredesai
Trust- and Distrust-Based Recommendations for Controversial Reviews. IEEE Intell. Syst. 26 (1) (2011)
Junqing Shang, Kishore Sundara-Rajan, Levi Lindsey, Alexander V. Mamishev, Eric Johnson, Ankur Teredesai, Alan Kristal
A pervasive Dietary Data Recording System. PerCom Workshops (2011)
Jeremiah Miller, Miles Raymond, Josh Archer, Seid Adem, Leo Hansel, Sushma Konda, Malik Luti, Yao Zhao, Ankur Teredesai, Mohamed H. Ali
An Extensibility Approach for Spatio-temporal Stream Processing Using Microsoft StreamInsight. SSTD (2011)
Michael Munsey, Jonathan Veilleux, Sindhura Bikkani, Ankur Teredesai, Martine De Cock
Born to trade: A genetically evolved keyword bidder for sponsored search. IEEE Congress on Evolutionary Computation (2010)
Rinkesh Nagmoti, Ankur Teredesai, Martine De Cock
Ranking Approaches for Microblog Search. Web Intelligence (2010)
Patricia Victor, Chris Cornelis, Martine De Cock, Ankur Teredesai
A Comparative Analysis of Trust-Enhanced Recommenders for Controversial Items. ICWSM (2009)
Ashish Bindra, Ankur Teredesai, Mohamed H. Ali, Walid G. Aref
Multi-dimensional phenomenon-aware stream query processing. GIS (2009)
David Thaler, Ankur Teredesai
Maximizing Ridesharing Matches for Dynamic Carpooling. Intelligent Environments (2009)
Patricia Victor, Chris Cornelis, Ankur Teredesai, Martine De Cock
Whom should I trust?: the impact of key figures on cold start recommendations. SAC (2008)
Patricia Victor, Chris Cornelis, Martine De Cock, Ankur Teredesai
Key figure impact in trust-enhanced recommender systems. AI Commun. 21 (2-3) (2008)
Fei Hu, Ankur Teredesai
A Pervasive Computing Curriculum for Engineering and Science Students. IEEE Pervasive Comput. 6 (1) (2007)
Ankur Teredesai, Muhammad A. Ahmad, Juveria Kanodia, Roger S. Gaborski
CoMMA: a framework for integrated multimedia mining using multi-relational associations. Knowl. Inf. Syst. 10 (2) (2006)
Muhammad A. Ahmad, Ankur Teredesai
Modeling Proliferation of Ideas in Online Social Networks. AusDM (2006)
Ankur Teredesai, Yuanfeng Zhu
SoNEA: Sensing Online Novelty Using Event Archives. MASS (2006)
Jason B. Peltzer, Ankur Teredesai, Garrett Reinard
AQUAGP: Approximate QUery Answers Using Genetic Programming. EuroGP (2006)
Derek M. Johnson, Ankur Teredesai, Robert T. Saltarelli
Genetic Programming in Wireless Sensor Networks. EuroGP (2005)
Muhammad A. Ahmad, Ankur Teredesai
Domain Independent Integrated Multimedia Data Mining is a Frivolous Exercise: Classicism vs. Connectionism Debate Revisited. Wissensmanagement (2005)
Ankur Teredesai, Venugopal Govindaraju
GP-based secondary classifiers. Pattern Recognit. 38 (4) (2005)
Roger S. Gaborski, Vishal S. Vaingankar, Vineet Chaoji, Ankur Teredesai
VENUS: A System for Novelty Detection in Video Streams with Learning. FLAIRS Conference (2004)
Roger S. Gaborski, Vishal S. Vaingankar, Vineet Chaoji, Ankur Teredesai, Aleksey Tentler
Detection of inconsistent regions in video streams. Human Vision and Electronic Imaging (2004)
Ankur Teredesai, Venu Govindaraju
Issues in evolving GP based classifiers for a pattern recognition task. IEEE Congress on Evolutionary Computation (2004)
Ankur Teredesai, Eugene H. Ratzlaff, Jayashree Subrahmonia, Venu Govindaraju
On-Line Digit Recognition Using Off-Line Features. ICVGIP (2002)
Ankur Teredesai, Jaehwa Park, Venu Govindaraju
Active Handwritten Character Recognition Using Genetic Programming. EuroGP (2001)
Venu Govindaraju, Zhixin Shi, Ankur Teredesai
Secondary classification using key features. Document Recognition and Retrieval (2001)
Ankur Teredesai, Venu Govindaraju
Active Digit Classifiers: A Separability Optimization Approach to Emulate Cognition. ICDAR (2001)