Web Living Case: A Web Based Business Case Delivery System for Collaborative Work. - Raghav Madhavan; Balaji Padmanabhan; Jon Turner (ICIS, 1996)

Pattern Discovery in Temporal Databases: A Temporal Logic Approach. - Balaji Padmanabhan; Alexander Tuzhilin (KDD, 1996)

A Belief-Driven Method for Discovering Unexpected Patterns. - Balaji Padmanabhan; Alexander Tuzhilin (KDD, 1998)

Unexpectedness as a measure of interestingness in knowledge discovery. - Balaji Padmanabhan; Alexander Tuzhilin (Decis. Support Syst., 1999)

Small is beautiful: discovering the minimal set of unexpected patterns. - Balaji Padmanabhan; Alexander Tuzhilin (KDD, 2000)

Personalization from incomplete data: what you don't know can hurt. - Balaji Padmanabhan; Zhiqiang (Eric) Zheng; Steven Orla Kimbrough (KDD, 2001)

On Active Learning for Data Acquisition. - Zhiqiang Zheng 004; Balaji Padmanabhan (ICDM, 2002)

Knowledge refinement based on the discovery of unexpected patterns in data mining. - Balaji Padmanabhan; Alexander Tuzhilin (Decis. Support Syst., 2002)

Pattern-Oriented Clustering of Web Transactions. - Yinghui Yang 001; Balaji Padmanabhan (AMCIS, 2003)

Generating Original Structure in Regulatory Documents. - Steven Orla Kimbrough; Thomas Y. Lee; Balaji Padmanabhan; Yinghui Yang 001 (DG.O, 2003)

On Original Generation of Structure in Legal Documents. - Steven Orla Kimbrough; Thomas Y. Lee; Balaji Padmanabhan; Yinghui Yang 001 (ICAIL, 2003)

Segmenting Customer Transactions Using a Pattern-Based Clustering Approach. - Yinghui Yang 001; Balaji Padmanabhan (ICDM, 2003)

On the Existence and Significance of Data Preprocessing Biases in Web-Usage Mining. - Zhiqiang Zheng 004; Balaji Padmanabhan; Steven Orla Kimbrough (INFORMS J. Comput., 2003)

On the Use of Optimization for Data Mining: Theoretical Interactions and eCRM Opportunities. - Balaji Padmanabhan; Alexander Tuzhilin (Manag. Sci., 2003)

On the discovery of significant statistical quantitative rules. - Hong Zhang; Balaji Padmanabhan; Alexander Tuzhilin (KDD, 2004)

A DEA approach for model combination. - Zhiqiang (Eric) Zheng; Balaji Padmanabhan; Haoqiang Zheng (KDD, 2004)

GHIC: A Hierarchical Pattern-Based Clustering Algorithm for Grouping Web Transactions. - Yinghui Yang 001; Balaji Padmanabhan (IEEE Trans. Knowl. Data Eng., 2005)

Cluster Evolution and Interpretation via Penalties. - Daniel Fleder; Balaji Padmanabhan (ICDM Workshops, 2006)

Selectively Acquiring Customer Information: A New Data Acquisition Problem and an Active Learning-Based Solution. - Zhiqiang Zheng 004; Balaji Padmanabhan (Manag. Sci., 2006)

An Empirical Analysis of the Value of Complete Information for eCRM Models. - Balaji Padmanabhan; Zhiqiang (Eric) Zheng; Steven O. Kimbrough (MIS Q., 2006)

On Characterization and Discovery of Minimal Unexpected Patterns in Rule Discovery. - Balaji Padmanabhan; Alexander Tuzhilin (IEEE Trans. Knowl. Data Eng., 2006)

Constructing Ensembles from Data Envelopment Analysis. - Zhiqiang Zheng 004; Balaji Padmanabhan (INFORMS J. Comput., 2007)

Goal Attainment on Long Tail Websites: An Information Foraging Approach. - James A. McCart; Donald J. Berndt; Balaji Padmanabhan; Joni L. Jones (AMCIS, 2009)

Leveraging Unlabeled Data for Classification. - Yinghui Yang 001; Balaji Padmanabhan (Encyclopedia of Data Warehousing and Mining, 2009)

Toward user patterns for online security: Observation time and online user identification. - Yinghui (Catherine) Yang; Balaji Padmanabhan (Decis. Support Syst., 2010)

The "top N" news recommender: count distortion and manipulation resistance. - Shankar Prawesh; Balaji Padmanabhan (RecSys, 2011)

SCENE: a scalable two-stage personalized news recommendation system. - Lei Li 001; Dingding Wang 001; Tao Li 001; Daniel Knox; Balaji Padmanabhan (SIGIR, 2011)

From information to operations: Service quality and customer retention. - Balaji Padmanabhan; Alan R. Hevner; Michael Cuenco; Crystal Shi (ACM Trans. Manag. Inf. Syst., 2011)

Analysis of Probabilistic News Recommender Systems. - Shankar Prawesh; Balaji Padmanabhan (AMCIS, 2012)

News Recommender Systems with Feedback. - Shankar Prawesh; Balaji Padmanabhan (ICIS, 2012)

Probabilistic news recommender systems with feedback. - Shankar Prawesh; Balaji Padmanabhan (RecSys, 2012)

Discovery of Periodic Patterns in Sequence Data: A Variance-Based Approach. - Yinghui (Catherine) Yang; Balaji Padmanabhan; Hongyan Liu 002; Xiaoyu Wang (INFORMS J. Comput., 2012)

From Business Intelligence to Competitive Intelligence: Inferring Competitive Measures Using Augmented Site-Centric Data. - Zhiqiang (Eric) Zheng; Peter S. Fader; Balaji Padmanabhan (Inf. Syst. Res., 2012)

Goal attainment on long tail web sites: An information foraging approach. - James A. McCart; Balaji Padmanabhan; Donald J. Berndt (Decis. Support Syst., 2013)

Current degradation due to electromechanical coupling in GaN HEMT's. - Balaji Padmanabhan; Dragica Vasileska; Stephen Marshall Goodnick (Microelectron. J., 2013)

The "Most Popular News" Recommender: Count Amplification and Manipulation Resistance. - Shankar Prawesh; Balaji Padmanabhan (Inf. Syst. Res., 2014)

Reducing Healthcare Costs through Medical Recommendations. - Lina Bouayad; Balaji Padmanabhan; Kaushal Chari (AMIA, 2015)

A process model for information retrieval context learning and knowledge discovery. - Harvey S. Hyman; Terry Sincich; Rick Will; Manish Agrawal; Balaji Padmanabhan; Warren Fridy III (Artif. Intell. Law, 2015)

Does Television Viewership Predict Presidential Election Outcomes? - Arash Barfar; Balaji Padmanabhan (Big Data, 2015)

Opioid-Related Side Effects and Adverse Reactions: Mining of Patient Secure Messages. - Lina Bouayad; Robert D. Kerns; William Becker; Thomas K. Houston; Stephen L. Luther; Stephanie L. Shimada; Balaji Padmanabhan (AMIA, 2016)

Predicting Presidential Election Outcomes from What People Watch. - Arash Barfar; Balaji Padmanabhan (Big Data, 2017)

Applying behavioral economics in predictive analytics for B2B churn: Findings from service quality data. - Arash Barfar; Balaji Padmanabhan; Alan R. Hevner (Decis. Support Syst., 2017)

The Development of a Multidimensional Engagement Measure. - Stephanie Andel; Triparna de Vreede; Gert-Jan de Vreede; Balaji Padmanabhan; Vivek K. Singh 003; Paul E. Spector (AMCIS, 2018)

A content engagement score for online learning platforms. - Vivek K. Singh 003; Balaji Padmanabhan; Triparna de Vreede; Gert-Jan de Vreede; Stephanie Andel; Paul E. Spector; Steve Benfield; Ahmad Aslami (L@S, 2018)

Call for Papers - Special Issue of Information Systems Research - Humans, Algorithms, and Augmented Intelligence: The Future of Work, Organizations, and Society. - Hemant K. Jain 001; Balaji Padmanabhan; Paul A. Pavlou; Raghu T. Santanam (Inf. Syst. Res., 2018)

Machine learning for psychiatric patient triaging: an investigation of cascading classifiers. - Vivek Kumar Singh; Utkarsh Shrivastava; Lina Bouayad; Balaji Padmanabhan; Anna Ialynytchev; Susan K. Schultz (J. Am. Medical Informatics Assoc., 2018)

What is Engagement and How Do We Measure It? Toward a Domain Independent Definition and Scale. - Triparna de Vreede; Stephanie Andel; Gert-Jan de Vreede; Paul E. Spector; Vivek K. Singh 003; Balaji Padmanabhan (HICSS, 2019)

Audit Policies Under the Sentinel Effect: Deterrence-Driven Algorithms. - Lina Bouayad; Balaji Padmanabhan; Kaushal Chari (Inf. Syst. Res., 2019)

Do social features help in video-centric online learning platforms? A social presence perspective. - Stephanie Andel; Triparna de Vreede; Paul E. Spector; Balaji Padmanabhan; Vivek K. Singh 003; Gert-Jan de Vreede (Comput. Hum. Behav., 2020)

Deep Learning for Information Systems Research. - Sagar Samtani; Hongyi Zhu; Balaji Padmanabhan; Yidong Chai; Hsinchun Chen (CoRR, 2020)

Whom to Test? Active Sampling Strategies for Managing COVID-19. - Yingfei Wang; Inbal Yahav; Balaji Padmanabhan (CoRR, 2020)

Special Issue Editorial: Addressing Societal Challenges through Analytics: An ESG ICE Framework and Research Agenda. - Wolfgang Ketter; Balaji Padmanabhan; Gautam Pant; T. S. Raghu 001 (J. Assoc. Inf. Syst., 2020)

Can Recommender Systems Reduce Healthcare Costs? The Role of Time Pressure and Cost Transparency in Prescription Choice. - Lina Bouayad; Balaji Padmanabhan; Kaushal Chari (MIS Q., 2020)

Taming the Complexity in Search Matching: Two-Sided Recommender Systems on Digital Platforms. - Onkar Malgonde; He Zhang; Balaji Padmanabhan; Moez Limayem (MIS Q., 2020)

Fighting Misinformation on Social Media: YouTube Cancer Videos. - Abdallah M. J. Musmar; Sunil Mithas; Balaji Padmanabhan (AMCIS, 2021)

Panel: Digital Resilience During Covid: Fleeting or Enduring. - Waifong Boh; Panos Constantinides; Balaji Padmanabhan; Siva Viswanathan; Ola Henfridsson; Arun Rai; Soumya Sen (ICIS, 2021)

Peak cubes in service operations: Bringing multidimensionality into decision support systems. - Arash Barfar; Balaji Padmanabhan; Alan R. Hevner (Decis. Support Syst., 2021)

Learning individual preferences from aggregate data: A genetic algorithm for discovering baskets of television shows with affinities to political and social interests. - Balaji Padmanabhan; Arash Barfar (Expert Syst. Appl., 2021)

Editorial for the Special Section on Humans, Algorithms, and Augmented Intelligence: The Future of Work, Organizations, and Society. - Hemant K. Jain 001; Balaji Padmanabhan; Paul A. Pavlou; T. S. Raghu 001 (Inf. Syst. Res., 2021)

Pattern discovery, validation, and online experiments: a methodology for discovering television shows for public health announcements. - Arash Barfar; Balaji Padmanabhan (J. Am. Medical Informatics Assoc., 2021)

How does social media sentiment impact mass media sentiment? A study of news in the financial markets. - Jie Ren 009; Hang Dong 003; Balaji Padmanabhan; Jeffrey V. Nickerson (J. Assoc. Inf. Sci. Technol., 2021)

EW-Tune: A Framework for Privately Fine-Tuning Large Language Models with Differential Privacy. - Rouzbeh Behnia; Mohammadreza Ebrahimi 001; Jason Pacheco; Balaji Padmanabhan (ICDM (Workshops), 2022)

Representing Social Networks as Dynamic Heterogeneous Graphs. - Negar Maleki; Balaji Padmanabhan; Kaushik Dutta (ICDM (Workshops), 2022)

Causal ABMs: Learning Plausible Causal Models using Agent-based Modeling. - Konstantina Valogianni; Balaji Padmanabhan (CD@KDD, 2022)

How are social and mass media different in relation to the stock market? A study on topic coverage and predictive value. - Hang Dong 003; Jie Ren 009; Balaji Padmanabhan; Jeffrey V. Nickerson (Inf. Manag., 2022)

Managing Digital Platforms with Robust Multi-Sided Recommender Systems. - Onkar Malgonde; He Zhang; Balaji Padmanabhan; Moez Limayem (J. Manag. Inf. Syst., 2022)

Leveraging Implicit Knowledge in Recommender Systems for Maternal Health. - Negar Maleki; Balaji Padmanabhan; Kaushik Dutta (ICDM (Workshops), 2023)

Efficient Secure Aggregation for Privacy-Preserving Federated Machine Learning. - Rouzbeh Behnia; Reza Ebrahimi 001; Arman Riasi; Balaji Padmanabhan; Thang Hoang (CoRR, 2023)

Systemic Fairness. - Arindam Ray; Balaji Padmanabhan; Lina Bouayad (CoRR, 2023)

Deep Learning for Information Systems Research. - Sagar Samtani; Hongyi Zhu; Balaji Padmanabhan; Yidong Chai; Hsinchun Chen; Jay F. Nunamaker Jr. (J. Manag. Inf. Syst., 2023)

Introduction to the Special Issue on IT-enabled Business Management and Decision Making in the (Post) Covid-19 Era. - Xin Li 004; Juhee Kwon; Balaji Padmanabhan; Pengzhu Zhang (ACM Trans. Manag. Inf. Syst., 2023)

Efficient Secure Aggregation for Privacy-Preserving Federated Machine Learning. - Rouzbeh Behnia; Arman Riasi; Reza Ebrahimi 001; Sherman S. M. Chow; Balaji Padmanabhan; Thang Hoang (ACSAC, 2024)

Enhancing Adversarial Robustness: A Novel Bayesian Uncertainty-Based Ensemble Learning Method. - Yidong Chai; Yi Liu; Mohammadreza Ebrahimi 001; Weifeng Li 002; Balaji Padmanabhan; Yuanchun Jiang; Yezheng Liu 001 (DSC, 2024)

AI Hallucinations: A Misnomer Worth Clarifying. - Negar Maleki; Balaji Padmanabhan; Kaushik Dutta (CoRR, 2024)

From Machine Learning to Machine Unlearning: Complying with GDPR's Right to be Forgotten while Maintaining Business Value of Predictive Models. - Yuncong Yang; Xiao Han; Yidong Chai; Reza Ebrahimi 001; Rouzbeh Behnia; Balaji Padmanabhan (CoRR, 2024)

Smart Testing with Vaccination: A Bandit Algorithm for Active Sampling for Managing COVID-19. - Yingfei Wang; Inbal Yahav; Balaji Padmanabhan (Inf. Syst. Res., 2024)

This Article is Not Just in English: Making Science More Inclusive and Impactful with Artifical Intelligence Translation. - 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; et al. (Australas. J. Inf. Syst., 2025)

What are patients watching online? Using recommender systems and large language models to discover temporal viewership patterns in maternal health. - Negar Maleki; Balaji Padmanabhan; Kaushik Dutta (Expert Syst. Appl., 2025)

From Deception to Perception: The Surprising Benefits of Deepfakes for Detecting, Measuring, and Mitigating Bias. - Yizhi Liu; Balaji Padmanabhan; Siva Viswanathan (CoRR, 2025)

Do LLMs have a Gender (Entropy) Bias? - Sonal Prabhune; Balaji Padmanabhan; Kaushik Dutta (CoRR, 2025)