Balaji Padmanabhan

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 38

Top Topics

Presidential Election

Recommender Systems

Implicit Knowledge

Top Venues

Inf. Syst. Res.

ICDM (Workshops)

Decis. Support Syst.

Publications

Negar Maleki, Balaji Padmanabhan, Kaushik Dutta
AI Hallucinations: A Misnomer Worth Clarifying. CoRR (2024)
Yingfei Wang, Inbal Yahav, Balaji Padmanabhan
Smart Testing with Vaccination: A Bandit Algorithm for Active Sampling for Managing COVID-19. Inf. Syst. Res. 35 (1) (2024)
Negar Maleki, Balaji Padmanabhan, Kaushik Dutta
Leveraging Implicit Knowledge in Recommender Systems for Maternal Health. ICDM (Workshops) (2023)
Rouzbeh Behnia, Mohammadreza Ebrahimi, Arman Riasi, Balaji Padmanabhan, Thang Hoang
Efficient Secure Aggregation for Privacy-Preserving Federated Machine Learning. CoRR (2023)
Arindam Ray, Balaji Padmanabhan, Lina Bouayad
Systemic Fairness. CoRR (2023)
Sagar Samtani, Hongyi Zhu, Balaji Padmanabhan, Yidong Chai, Hsinchun Chen, Jay F. Nunamaker Jr.
Deep Learning for Information Systems Research. J. Manag. Inf. Syst. 40 (1) (2023)
Xin Li, Juhee Kwon, Balaji Padmanabhan, Pengzhu Zhang
Introduction to the Special Issue on IT-enabled Business Management and Decision Making in the (Post) Covid-19 Era. ACM Trans. Manag. Inf. Syst. 14 (4) (2023)
Rouzbeh Behnia, MohammadReza Ebrahimi, Jason Pacheco, Balaji Padmanabhan
EW-Tune: A Framework for Privately Fine-Tuning Large Language Models with Differential Privacy. ICDM (Workshops) (2022)
Onkar Malgonde, He Zhang, Balaji Padmanabhan, Moez Limayem
Managing Digital Platforms with Robust Multi-Sided Recommender Systems. J. Manag. Inf. Syst. 39 (4) (2022)
Negar Maleki, Balaji Padmanabhan, Kaushik Dutta
Representing Social Networks as Dynamic Heterogeneous Graphs. ICDM (Workshops) (2022)
Rouzbeh Behnia, Mohammadreza Ebrahimi, Jason Pacheco, Balaji Padmanabhan
EW-Tune: A Framework for Privately Fine-Tuning Large Language Models with Differential Privacy. CoRR (2022)
Hang Dong, Jie Ren, Balaji Padmanabhan, Jeffrey V. Nickerson
How are social and mass media different in relation to the stock market? A study on topic coverage and predictive value. Inf. Manag. 59 (2) (2022)
Konstantina Valogianni, Balaji Padmanabhan
Causal ABMs: Learning Plausible Causal Models using Agent-based Modeling. CD@KDD (2022)
Waifong Boh, Panos Constantinides, Balaji Padmanabhan, Siva Viswanathan, Ola Henfridsson, Arun Rai, Soumya Sen
Panel: Digital Resilience During Covid: Fleeting or Enduring. ICIS (2021)
Balaji Padmanabhan, Arash Barfar
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. 168 (2021)
Hemant K. Jain, Balaji Padmanabhan, Paul A. Pavlou, T. S. Raghu
Editorial for the Special Section on Humans, Algorithms, and Augmented Intelligence: The Future of Work, Organizations, and Society. Inf. Syst. Res. 32 (3) (2021)
Arash Barfar, Balaji Padmanabhan
Pattern discovery, validation, and online experiments: a methodology for discovering television shows for public health announcements. J. Am. Medical Informatics Assoc. 28 (7) (2021)
Arash Barfar, Balaji Padmanabhan, Alan R. Hevner
Peak cubes in service operations: Bringing multidimensionality into decision support systems. Decis. Support Syst. 140 (2021)
Abdallah M. J. Musmar, Sunil Mithas, Balaji Padmanabhan
Fighting Misinformation on Social Media: YouTube Cancer Videos. AMCIS (2021)
Jie Ren, Hang Dong, Balaji Padmanabhan, Jeffrey V. Nickerson
How does social media sentiment impact mass media sentiment? A study of news in the financial markets. J. Assoc. Inf. Sci. Technol. 72 (9) (2021)
Lina Bouayad, Balaji Padmanabhan, Kaushal Chari
Can Recommender Systems Reduce Healthcare Costs? The Role of Time Pressure and Cost Transparency in Prescription Choice. MIS Q. 44 (4) (2020)
Yingfei Wang, Inbal Yahav, Balaji Padmanabhan
Whom to Test? Active Sampling Strategies for Managing COVID-19. CoRR (2020)
Sagar Samtani, Hongyi Zhu, Balaji Padmanabhan, Yidong Chai, Hsinchun Chen
Deep Learning for Information Systems Research. CoRR (2020)
Onkar Malgonde, He Zhang, Balaji Padmanabhan, Moez Limayem
Taming the Complexity in Search Matching: Two-Sided Recommender Systems on Digital Platforms. MIS Q. 44 (1) (2020)
Stephanie Andel, Triparna de Vreede, Paul E. Spector, Balaji Padmanabhan, Vivek K. Singh, Gert-Jan de Vreede
Do social features help in video-centric online learning platforms? A social presence perspective. Comput. Hum. Behav. 113 (2020)
Wolfgang Ketter, Balaji Padmanabhan, Gautam Pant, T. S. Raghu
Special Issue Editorial: Addressing Societal Challenges through Analytics: An ESG ICE Framework and Research Agenda. J. Assoc. Inf. Syst. 21 (5) (2020)
Triparna de Vreede, Stephanie Andel, Gert-Jan de Vreede, Paul E. Spector, Vivek K. Singh, Balaji Padmanabhan
What is Engagement and How Do We Measure It? Toward a Domain Independent Definition and Scale. HICSS (2019)
Lina Bouayad, Balaji Padmanabhan, Kaushal Chari
Audit Policies Under the Sentinel Effect: Deterrence-Driven Algorithms. Inf. Syst. Res. 30 (2) (2019)
Stephanie Andel, Triparna de Vreede, Gert-Jan de Vreede, Balaji Padmanabhan, Vivek K. Singh, Paul E. Spector
The Development of a Multidimensional Engagement Measure. AMCIS (2018)
Hemant K. Jain, Balaji Padmanabhan, Paul A. Pavlou, Raghu T. Santanam
- Humans, Algorithms, and Augmented Intelligence: The Future of Work, Organizations, and Society. Inf. Syst. Res. 29 (1) (2018)
Vivek Kumar Singh, Utkarsh Shrivastava, Lina Bouayad, Balaji Padmanabhan, Anna Ialynytchev, Susan K. Schultz
Machine learning for psychiatric patient triaging: an investigation of cascading classifiers. J. Am. Medical Informatics Assoc. 25 (11) (2018)
Vivek K. Singh, Balaji Padmanabhan, Triparna de Vreede, Gert-Jan de Vreede, Stephanie Andel, Paul E. Spector, Steve Benfield, Ahmad Aslami
A content engagement score for online learning platforms. L@S (2018)
Arash Barfar, Balaji Padmanabhan, Alan R. Hevner
Applying behavioral economics in predictive analytics for B2B churn: Findings from service quality data. Decis. Support Syst. 101 (2017)
Arash Barfar, Balaji Padmanabhan
Predicting Presidential Election Outcomes from What People Watch. Big Data 5 (1) (2017)
Lina Bouayad, Robert D. Kerns, William Becker, Thomas K. Houston, Stephen L. Luther, Stephanie L. Shimada, Balaji Padmanabhan
Opioid-Related Side Effects and Adverse Reactions: Mining of Patient Secure Messages. AMIA (2016)
Harvey S. Hyman, Terry Sincich, Rick Will, Manish Agrawal, Balaji Padmanabhan, Warren Fridy III
A process model for information retrieval context learning and knowledge discovery. Artif. Intell. Law 23 (2) (2015)
Arash Barfar, Balaji Padmanabhan
Does Television Viewership Predict Presidential Election Outcomes? Big Data 3 (3) (2015)
Lina Bouayad, Balaji Padmanabhan, Kaushal Chari
Reducing Healthcare Costs through Medical Recommendations. AMIA (2015)
Shankar Prawesh, Balaji Padmanabhan
The "Most Popular News" Recommender: Count Amplification and Manipulation Resistance. Inf. Syst. Res. 25 (3) (2014)
Balaji Padmanabhan, Dragica Vasileska, Stephen Marshall Goodnick
Current degradation due to electromechanical coupling in GaN HEMT's. Microelectron. J. 44 (7) (2013)
James A. McCart, Balaji Padmanabhan, Donald J. Berndt
Goal attainment on long tail web sites: An information foraging approach. Decis. Support Syst. 55 (1) (2013)
Shankar Prawesh, Balaji Padmanabhan
News Recommender Systems with Feedback. ICIS (2012)
Zhiqiang (Eric) Zheng, Peter S. Fader, Balaji Padmanabhan
From Business Intelligence to Competitive Intelligence: Inferring Competitive Measures Using Augmented Site-Centric Data. Inf. Syst. Res. 23 (3-1) (2012)
Shankar Prawesh, Balaji Padmanabhan
Probabilistic news recommender systems with feedback. RecSys (2012)
Yinghui (Catherine) Yang, Balaji Padmanabhan, Hongyan Liu, Xiaoyu Wang
Discovery of Periodic Patterns in Sequence Data: A Variance-Based Approach. INFORMS J. Comput. 24 (3) (2012)
Shankar Prawesh, Balaji Padmanabhan
Analysis of Probabilistic News Recommender Systems. AMCIS (2012)
Shankar Prawesh, Balaji Padmanabhan
The "top N" news recommender: count distortion and manipulation resistance. RecSys (2011)
Lei Li, Dingding Wang, Tao Li, Daniel Knox, Balaji Padmanabhan
SCENE: a scalable two-stage personalized news recommendation system. SIGIR (2011)
Balaji Padmanabhan, Alan R. Hevner, Michael Cuenco, Crystal Shi
From information to operations: Service quality and customer retention. ACM Trans. Manag. Inf. Syst. 2 (4) (2011)
Yinghui (Catherine) Yang, Balaji Padmanabhan
Toward user patterns for online security: Observation time and online user identification. Decis. Support Syst. 48 (4) (2010)
James A. McCart, Donald J. Berndt, Balaji Padmanabhan, Joni L. Jones
Goal Attainment on Long Tail Websites: An Information Foraging Approach. AMCIS (2009)
Zhiqiang (Eric) Zheng, Balaji Padmanabhan
Constructing Ensembles from Data Envelopment Analysis. INFORMS J. Comput. 19 (4) (2007)
Balaji Padmanabhan, Zhiqiang (Eric) Zheng, Steven O. Kimbrough
An Empirical Analysis of the Value of Complete Information for eCRM Models. MIS Q. 30 (2) (2006)
Balaji Padmanabhan, Alexander Tuzhilin
On Characterization and Discovery of Minimal Unexpected Patterns in Rule Discovery. IEEE Trans. Knowl. Data Eng. 18 (2) (2006)
Daniel Fleder, Balaji Padmanabhan
Cluster Evolution and Interpretation via Penalties. ICDM Workshops (2006)
Zhiqiang (Eric) Zheng, Balaji Padmanabhan
Selectively Acquiring Customer Information: A New Data Acquisition Problem and an Active Learning-Based Solution. Manag. Sci. 52 (5) (2006)
Yinghui Yang, Balaji Padmanabhan
GHIC: A Hierarchical Pattern-Based Clustering Algorithm for Grouping Web Transactions. IEEE Trans. Knowl. Data Eng. 17 (9) (2005)
Hong Zhang, Balaji Padmanabhan, Alexander Tuzhilin
On the discovery of significant statistical quantitative rules. KDD (2004)
Zhiqiang (Eric) Zheng, Balaji Padmanabhan, Haoqiang Zheng
A DEA approach for model combination. KDD (2004)
Steven Orla Kimbrough, Thomas Y. Lee, Balaji Padmanabhan, Yinghui Yang
On Original Generation of Structure in Legal Documents. ICAIL (2003)
Balaji Padmanabhan, Alexander Tuzhilin
On the Use of Optimization for Data Mining: Theoretical Interactions and eCRM Opportunities. Manag. Sci. 49 (10) (2003)
Zhiqiang (Eric) Zheng, Balaji Padmanabhan, Steven Orla Kimbrough
On the Existence and Significance of Data Preprocessing Biases in Web-Usage Mining. INFORMS J. Comput. 15 (2) (2003)
Yinghui Yang, Balaji Padmanabhan
Segmenting Customer Transactions Using a Pattern-Based Clustering Approach. ICDM (2003)
Yinghui Yang, Balaji Padmanabhan
Pattern-Oriented Clustering of Web Transactions. AMCIS (2003)
Steven Orla Kimbrough, Thomas Y. Lee, Balaji Padmanabhan, Yinghui Yang
Generating Original Structure in Regulatory Documents. DG.O (2003)
Zhiqiang (Eric) Zheng, Balaji Padmanabhan
On Active Learning for Data Acquisition. ICDM (2002)
Balaji Padmanabhan, Alexander Tuzhilin
Knowledge refinement based on the discovery of unexpected patterns in data mining. Decis. Support Syst. 33 (3) (2002)
Balaji Padmanabhan, Zhiqiang (Eric) Zheng, Steven Orla Kimbrough
Personalization from incomplete data: what you don't know can hurt. KDD (2001)
Balaji Padmanabhan, Alexander Tuzhilin
Small is beautiful: discovering the minimal set of unexpected patterns. KDD (2000)
Balaji Padmanabhan, Alexander Tuzhilin
Unexpectedness as a measure of interestingness in knowledge discovery. Decis. Support Syst. 27 (3) (1999)
Balaji Padmanabhan, Alexander Tuzhilin
A Belief-Driven Method for Discovering Unexpected Patterns. KDD (1998)
Raghav Madhavan, Balaji Padmanabhan, Jon Turner
Web Living Case: A Web Based Business Case Delivery System for Collaborative Work. ICIS (1996)
Balaji Padmanabhan, Alexander Tuzhilin
Pattern Discovery in Temporal Databases: A Temporal Logic Approach. KDD (1996)