Balaji Padmanabhan

89 papers A* 9A 3B 1C 4Misc 2Journal 53Unranked 16
YearRankTypeTitle / Venue / Authors
2026 J jnl
Estimating Visual Attribute Effects in Advertising from Observational Data: A Deepfake-Informed Double Machine Learning Approach.
CoRR
Yizhi Liu, Balaji Padmanabhan, Siva Viswanathan
2025 J jnl
Adversarially Robust Detection of Harmful Online Content: A Computational Design Science Approach.
CoRR
Yidong Chai, Yi Liu, Mohammadreza Ebrahimi, Weifeng Li, Balaji Padmanabhan
2025 J jnl
Do LLMs have a Gender (Entropy) Bias?
CoRR
Sonal Prabhune, Balaji Padmanabhan, Kaushik Dutta
2025 J jnl
From Deception to Perception: The Surprising Benefits of Deepfakes for Detecting, Measuring, and Mitigating Bias.
CoRR
Yizhi Liu, Balaji Padmanabhan, Siva Viswanathan
2025 J jnl
Information-Consistent Language Model Recommendations through Group Relative Policy Optimization.
CoRR
Sonal Prabhune, Balaji Padmanabhan, Kaushik Dutta
2025 — conf
Measuring and Mitigating Gender Entropy Bias in Large Language Models.
ICDM (Workshops)
Sonal Prabhune, Balaji Padmanabhan, Kaushik Dutta
2025 J jnl
This Article is Not Just in English: Making Science More Inclusive and Impactful with Artifical Intelligence Translation.
Australas. J. Inf. Syst.
Andrew Burton-Jones, Amano Tatsuya, James Boyce, Patrick Y. K. Chau, Juan (Jane) Feng, Indira R. Guzman, Sirkka Jarvenpaa, Jingqi (Celeste) li, Morteza Namvar, Balaji Padmanabhan, Jose Pineda, Jean-Loup Richet, Suprateek Sarker, Sujeet Sharma, Doug Vogel, Harry Wang, Victoria Yoon
2025 J jnl
What Exactly is a Deepfake?
CoRR
Yizhi Liu, Balaji Padmanabhan, Siva Viswanathan
2025 J jnl
What are patients watching online? Using recommender systems and large language models to discover temporal viewership patterns in maternal health.
Expert Syst. Appl.
Negar Maleki, Balaji Padmanabhan, Kaushik Dutta
2024 — conf
AI Hallucinations: A Misnomer Worth Clarifying.
CAI
Negar Maleki, Balaji Padmanabhan, Kaushik Dutta
2024 J jnl
AI Hallucinations: A Misnomer Worth Clarifying.
CoRR
Negar Maleki, Balaji Padmanabhan, Kaushik Dutta
2024 A conf
Efficient Secure Aggregation for Privacy-Preserving Federated Machine Learning.
ACSAC
Rouzbeh Behnia, Arman Riasi, Reza Ebrahimi, Sherman S. M. Chow, Balaji Padmanabhan, Thang Hoang
2024 — conf
Enhancing Adversarial Robustness: A Novel Bayesian Uncertainty-Based Ensemble Learning Method.
DSC
Yidong Chai, Yi Liu, Mohammadreza Ebrahimi, Weifeng Li, Balaji Padmanabhan, Yuanchun Jiang, Yezheng Liu
2024 J jnl
From Machine Learning to Machine Unlearning: Complying with GDPR's Right to be Forgotten while Maintaining Business Value of Predictive Models.
CoRR
Yuncong Yang, Xiao Han, Yidong Chai, Reza Ebrahimi, Rouzbeh Behnia, Balaji Padmanabhan
2024 J jnl
Smart Testing with Vaccination: A Bandit Algorithm for Active Sampling for Managing COVID-19.
Inf. Syst. Res.
Yingfei Wang, Inbal Yahav, Balaji Padmanabhan
2023 J jnl
Deep Learning for Information Systems Research.
J. Manag. Inf. Syst.
Sagar Samtani, Hongyi Zhu, Balaji Padmanabhan, Yidong Chai, Hsinchun Chen, Jay F. Nunamaker Jr.
2023 J jnl
Efficient Secure Aggregation for Privacy-Preserving Federated Machine Learning.
CoRR
Rouzbeh Behnia, Reza Ebrahimi, Arman Riasi, Balaji Padmanabhan, Thang Hoang
2023 J jnl
Introduction to the Special Issue on IT-enabled Business Management and Decision Making in the (Post) Covid-19 Era.
ACM Trans. Manag. Inf. Syst.
Xin Li, Juhee Kwon, Balaji Padmanabhan, Pengzhu Zhang
2023 — conf
Leveraging Implicit Knowledge in Recommender Systems for Maternal Health.
ICDM (Workshops)
Negar Maleki, Balaji Padmanabhan, Kaushik Dutta
2023 — conf
Robust AI-enabled Simulation of Treatment Paths with Markov Decision Process for Breast Cancer Patients.
CAI
Shafayet Shariar Hossain, Mohammadreza Ebrahimi, Balaji Padmanabhan, Issam El Naqa, Paul C. Kuo, Abigail Beard, Sarah Merkel
2023 J jnl
Systemic Fairness.
CoRR
Arindam Ray, Balaji Padmanabhan, Lina Bouayad
2022 — conf
Causal ABMs: Learning Plausible Causal Models using Agent-based Modeling.
CD@KDD
Konstantina Valogianni, Balaji Padmanabhan
2022 — conf
EW-Tune: A Framework for Privately Fine-Tuning Large Language Models with Differential Privacy.
ICDM (Workshops)
Rouzbeh Behnia, Mohammadreza Ebrahimi, Jason Pacheco, Balaji Padmanabhan
2022 J jnl
EW-Tune: A Framework for Privately Fine-Tuning Large Language Models with Differential Privacy.
CoRR
Rouzbeh Behnia, Mohammadreza Ebrahimi, Jason Pacheco, Balaji Padmanabhan
2022 J jnl
How are social and mass media different in relation to the stock market? A study on topic coverage and predictive value.
Inf. Manag.
Hang Dong, Jie Ren, Balaji Padmanabhan, Jeffrey V. Nickerson
2022 J jnl
Managing Digital Platforms with Robust Multi-Sided Recommender Systems.
J. Manag. Inf. Syst.
Onkar Malgonde, He Zhang, Balaji Padmanabhan, Moez Limayem
2022 — conf
Representing Social Networks as Dynamic Heterogeneous Graphs.
ICDM (Workshops)
Negar Maleki, Balaji Padmanabhan, Kaushik Dutta
2022 J jnl
Representing Social Networks as Dynamic Heterogeneous Graphs.
CoRR
Negar Maleki, Balaji Padmanabhan, Kaushik Dutta
2021 J jnl
Editorial for the Special Section on Humans, Algorithms, and Augmented Intelligence: The Future of Work, Organizations, and Society.
Inf. Syst. Res.
Hemant K. Jain, Balaji Padmanabhan, Paul A. Pavlou, T. S. Raghu
2021 — conf
Fighting Misinformation on Social Media: YouTube Cancer Videos.
AMCIS
Abdallah M. J. Musmar, Sunil Mithas, Balaji Padmanabhan
2021 J jnl
How does social media sentiment impact mass media sentiment? A study of news in the financial markets.
J. Assoc. Inf. Sci. Technol.
Jie Ren, Hang Dong, Balaji Padmanabhan, Jeffrey V. Nickerson
2021 J jnl
Learning individual preferences from aggregate data: A genetic algorithm for discovering baskets of television shows with affinities to political and social interests.
Expert Syst. Appl.
Balaji Padmanabhan, Arash Barfar
2021 C conf
Panel: Digital Resilience During Covid: Fleeting or Enduring.
ICIS
Waifong Boh, Panos Constantinides, Balaji Padmanabhan, Siva Viswanathan, Ola Henfridsson, Arun Rai, Soumya Sen
2021 J jnl
Pattern discovery, validation, and online experiments: a methodology for discovering television shows for public health announcements.
J. Am. Medical Informatics Assoc.
Arash Barfar, Balaji Padmanabhan
2021 J jnl
Peak cubes in service operations: Bringing multidimensionality into decision support systems.
Decis. Support Syst.
Arash Barfar, Balaji Padmanabhan, Alan R. Hevner
2020 J jnl
Can Recommender Systems Reduce Healthcare Costs? The Role of Time Pressure and Cost Transparency in Prescription Choice.
MIS Q.
Lina Bouayad, Balaji Padmanabhan, Kaushal Chari
2020 J jnl
Deep Learning for Information Systems Research.
CoRR
Sagar Samtani, Hongyi Zhu, Balaji Padmanabhan, Yidong Chai, Hsinchun Chen
2020 J jnl
Do social features help in video-centric online learning platforms? A social presence perspective.
Comput. Hum. Behav.
Stephanie Andel, Triparna de Vreede, Paul E. Spector, Balaji Padmanabhan, Vivek K. Singh, Gert-Jan de Vreede
2020 J jnl
Special Issue Editorial: Addressing Societal Challenges through Analytics: An ESG ICE Framework and Research Agenda.
J. Assoc. Inf. Syst.
Wolfgang Ketter, Balaji Padmanabhan, Gautam Pant, T. S. Raghu
2020 J jnl
Taming the Complexity in Search Matching: Two-Sided Recommender Systems on Digital Platforms.
MIS Q.
Onkar Malgonde, He Zhang, Balaji Padmanabhan, Moez Limayem
2020 J jnl
Whom to Test? Active Sampling Strategies for Managing COVID-19.
CoRR
Yingfei Wang, Inbal Yahav, Balaji Padmanabhan
2019 J jnl
Audit Policies Under the Sentinel Effect: Deterrence-Driven Algorithms.
Inf. Syst. Res.
Lina Bouayad, Balaji Padmanabhan, Kaushal Chari
2019 — conf
What is Engagement and How Do We Measure It? Toward a Domain Independent Definition and Scale.
HICSS
Triparna de Vreede, Stephanie Andel, Gert-Jan de Vreede, Paul E. Spector, Vivek K. Singh, Balaji Padmanabhan
2018 B conf
A content engagement score for online learning platforms.
L@S
Vivek K. Singh, Balaji Padmanabhan, Triparna de Vreede, Gert-Jan de Vreede, Stephanie Andel, Paul E. Spector, Steve Benfield, Ahmad Aslami
2018 J jnl
Call for Papers - Special Issue of
Inf. Syst. Res.
Hemant K. Jain, Balaji Padmanabhan, Paul A. Pavlou, Raghu T. Santanam
2018 J jnl
Machine learning for psychiatric patient triaging: an investigation of cascading classifiers.
J. Am. Medical Informatics Assoc.
Vivek Kumar Singh, Utkarsh Shrivastava, Lina Bouayad, Balaji Padmanabhan, Anna Ialynytchev, Susan K. Schultz
2018 — conf
The Development of a Multidimensional Engagement Measure.
AMCIS
Stephanie Andel, Triparna de Vreede, Gert-Jan de Vreede, Balaji Padmanabhan, Vivek K. Singh, Paul E. Spector
2017 J jnl
Applying behavioral economics in predictive analytics for B2B churn: Findings from service quality data.
Decis. Support Syst.
Arash Barfar, Balaji Padmanabhan, Alan R. Hevner
2017 J jnl
Predicting Presidential Election Outcomes from What People Watch.
Big Data
Arash Barfar, Balaji Padmanabhan
2016 Misc conf
Opioid-Related Side Effects and Adverse Reactions: Mining of Patient Secure Messages.
AMIA
Lina Bouayad, Robert D. Kerns, William Becker, Thomas K. Houston, Stephen L. Luther, Stephanie L. Shimada, Balaji Padmanabhan
2015 J jnl
A process model for information retrieval context learning and knowledge discovery.
Artif. Intell. Law
Harvey S. Hyman, Terry Sincich, Rick Will, Manish Agrawal, Balaji Padmanabhan, Warren Fridy III
2015 J jnl
Does Television Viewership Predict Presidential Election Outcomes?
Big Data
Arash Barfar, Balaji Padmanabhan
2015 Misc conf
Reducing Healthcare Costs through Medical Recommendations.
AMIA
Lina Bouayad, Balaji Padmanabhan, Kaushal Chari
2014 J jnl
The "Most Popular News" Recommender: Count Amplification and Manipulation Resistance.
Inf. Syst. Res.
Shankar Prawesh, Balaji Padmanabhan
2013 J jnl
Current degradation due to electromechanical coupling in GaN HEMT's.
Microelectron. J.
Balaji Padmanabhan, Dragica Vasileska, Stephen Marshall Goodnick
2013 J jnl
Goal attainment on long tail web sites: An information foraging approach.
Decis. Support Syst.
James A. McCart, Balaji Padmanabhan, Donald J. Berndt
2012 — conf
Analysis of Probabilistic News Recommender Systems.
AMCIS
Shankar Prawesh, Balaji Padmanabhan
2012 J jnl
Discovery of Periodic Patterns in Sequence Data: A Variance-Based Approach.
INFORMS J. Comput.
Yinghui (Catherine) Yang, Balaji Padmanabhan, Hongyan Liu, Xiaoyu Wang
2012 J jnl
From Business Intelligence to Competitive Intelligence: Inferring Competitive Measures Using Augmented Site-Centric Data.
Inf. Syst. Res.
Zhiqiang (Eric) Zheng, Peter S. Fader, Balaji Padmanabhan
2012 C conf
News Recommender Systems with Feedback.
ICIS
Shankar Prawesh, Balaji Padmanabhan
2012 A conf
Probabilistic news recommender systems with feedback.
RecSys
Shankar Prawesh, Balaji Padmanabhan
2011 J jnl
From information to operations: Service quality and customer retention.
ACM Trans. Manag. Inf. Syst.
Balaji Padmanabhan, Alan R. Hevner, Michael Cuenco, Crystal Shi
2011 A* conf
SCENE: a scalable two-stage personalized news recommendation system.
SIGIR
Lei Li, Dingding Wang, Tao Li, Daniel Knox, Balaji Padmanabhan
2011 A conf
The "top N" news recommender: count distortion and manipulation resistance.
RecSys
Shankar Prawesh, Balaji Padmanabhan
2010 J jnl
Toward user patterns for online security: Observation time and online user identification.
Decis. Support Syst.
Yinghui (Catherine) Yang, Balaji Padmanabhan
2009 — conf
Goal Attainment on Long Tail Websites: An Information Foraging Approach.
AMCIS
James A. McCart, Donald J. Berndt, Balaji Padmanabhan, Joni L. Jones
2009 — ch.
Leveraging Unlabeled Data for Classification.
Encyclopedia of Data Warehousing and Mining
Yinghui Yang, Balaji Padmanabhan
2007 J jnl
Constructing Ensembles from Data Envelopment Analysis.
INFORMS J. Comput.
Zhiqiang Zheng, Balaji Padmanabhan
2006 J jnl
An Empirical Analysis of the Value of Complete Information for eCRM Models.
MIS Q.
Balaji Padmanabhan, Zhiqiang (Eric) Zheng, Steven O. Kimbrough
2006 — conf
Cluster Evolution and Interpretation via Penalties.
ICDM Workshops
Daniel Fleder, Balaji Padmanabhan
2006 J jnl
On Characterization and Discovery of Minimal Unexpected Patterns in Rule Discovery.
IEEE Trans. Knowl. Data Eng.
Balaji Padmanabhan, Alexander Tuzhilin
2006 J jnl
Selectively Acquiring Customer Information: A New Data Acquisition Problem and an Active Learning-Based Solution.
Manag. Sci.
Zhiqiang Zheng, Balaji Padmanabhan
2005 J jnl
GHIC: A Hierarchical Pattern-Based Clustering Algorithm for Grouping Web Transactions.
IEEE Trans. Knowl. Data Eng.
Yinghui Yang, Balaji Padmanabhan
2004 A* conf
A DEA approach for model combination.
KDD
Zhiqiang (Eric) Zheng, Balaji Padmanabhan, Haoqiang Zheng
2004 A* conf
On the discovery of significant statistical quantitative rules.
KDD
Hong Zhang, Balaji Padmanabhan, Alexander Tuzhilin
2003 — conf
Generating Original Structure in Regulatory Documents.
DG.O
Steven Orla Kimbrough, Thomas Y. Lee, Balaji Padmanabhan, Yinghui Yang
2003 C conf
On Original Generation of Structure in Legal Documents.
ICAIL
Steven Orla Kimbrough, Thomas Y. Lee, Balaji Padmanabhan, Yinghui Yang
2003 J jnl
On the Existence and Significance of Data Preprocessing Biases in Web-Usage Mining.
INFORMS J. Comput.
Zhiqiang Zheng, Balaji Padmanabhan, Steven Orla Kimbrough
2003 J jnl
On the Use of Optimization for Data Mining: Theoretical Interactions and eCRM Opportunities.
Manag. Sci.
Balaji Padmanabhan, Alexander Tuzhilin
2003 — conf
Pattern-Oriented Clustering of Web Transactions.
AMCIS
Yinghui Yang, Balaji Padmanabhan
2003 A* conf
Segmenting Customer Transactions Using a Pattern-Based Clustering Approach.
ICDM
Yinghui Yang, Balaji Padmanabhan
2002 J jnl
Knowledge refinement based on the discovery of unexpected patterns in data mining.
Decis. Support Syst.
Balaji Padmanabhan, Alexander Tuzhilin
2002 A* conf
On Active Learning for Data Acquisition.
ICDM
Zhiqiang Zheng, Balaji Padmanabhan
2001 A* conf
Personalization from incomplete data: what you don't know can hurt.
KDD
Balaji Padmanabhan, Zhiqiang (Eric) Zheng, Steven Orla Kimbrough
2000 A* conf
Small is beautiful: discovering the minimal set of unexpected patterns.
KDD
Balaji Padmanabhan, Alexander Tuzhilin
1999 J jnl
Unexpectedness as a measure of interestingness in knowledge discovery.
Decis. Support Syst.
Balaji Padmanabhan, Alexander Tuzhilin
1998 A* conf
A Belief-Driven Method for Discovering Unexpected Patterns.
KDD
Balaji Padmanabhan, Alexander Tuzhilin
1996 A* conf
Pattern Discovery in Temporal Databases: A Temporal Logic Approach.
KDD
Balaji Padmanabhan, Alexander Tuzhilin
1996 C conf
Web Living Case: A Web Based Business Case Delivery System for Collaborative Work.
ICIS
Raghav Madhavan, Balaji Padmanabhan, Jon Turner