Balaji Padmanabhan

Orcid: 0000-0002-3498-0778

According to our database1, Balaji Padmanabhan authored at least 72 papers between 1996 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
AI Hallucinations: A Misnomer Worth Clarifying.
CoRR, 2024

2023
Introduction to the Special Issue on IT-enabled Business Management and Decision Making in the (Post) Covid-19 Era.
ACM Trans. Manag. Inf. Syst., December, 2023

Deep Learning for Information Systems Research.
J. Manag. Inf. Syst., 2023

Systemic Fairness.
CoRR, 2023

Efficient Secure Aggregation for Privacy-Preserving Federated Machine Learning.
CoRR, 2023

Leveraging Implicit Knowledge in Recommender Systems for Maternal Health.
Proceedings of the IEEE International Conference on Data Mining, 2023

2022
Managing Digital Platforms with Robust Multi-Sided Recommender Systems.
J. Manag. Inf. Syst., 2022

How are social and mass media different in relation to the stock market? A study on topic coverage and predictive value.
Inf. Manag., 2022

Causal ABMs: Learning Plausible Causal Models using Agent-based Modeling.
Proceedings of the KDD'22 Workshop on Causal Discovery, 15 August 2022, Washington DC, USA, 2022

Representing Social Networks as Dynamic Heterogeneous Graphs.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

EW-Tune: A Framework for Privately Fine-Tuning Large Language Models with Differential Privacy.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

2021
How does social media sentiment impact mass media sentiment? A study of news in the financial markets.
J. Assoc. Inf. Sci. Technol., 2021

Pattern discovery, validation, and online experiments: a methodology for discovering television shows for public health announcements.
J. Am. Medical Informatics Assoc., 2021

Editorial for the Special Section on Humans, Algorithms, and Augmented Intelligence: The Future of Work, Organizations, and Society.
Inf. Syst. Res., 2021

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., 2021

Peak cubes in service operations: Bringing multidimensionality into decision support systems.
Decis. Support Syst., 2021

Panel: Digital Resilience During Covid: Fleeting or Enduring.
Proceedings of the 42nd International Conference on Information Systems, 2021

Fighting Misinformation on Social Media: YouTube Cancer Videos.
Proceedings of the 27th Americas Conference on Information Systems, 2021

2020
Taming the Complexity in Search Matching: Two-Sided Recommender Systems on Digital Platforms.
MIS Q., 2020

Can Recommender Systems Reduce Healthcare Costs? The Role of Time Pressure and Cost Transparency in Prescription Choice.
MIS Q., 2020

Special Issue Editorial: Addressing Societal Challenges through Analytics: An ESG ICE Framework and Research Agenda.
J. Assoc. Inf. Syst., 2020

Whom to Test? Active Sampling Strategies for Managing COVID-19.
CoRR, 2020

Deep Learning for Information Systems Research.
CoRR, 2020

Do social features help in video-centric online learning platforms? A social presence perspective.
Comput. Hum. Behav., 2020

2019
Audit Policies Under the Sentinel Effect: Deterrence-Driven Algorithms.
Inf. Syst. Res., 2019

What is Engagement and How Do We Measure It? Toward a Domain Independent Definition and Scale.
Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019

2018
Machine learning for psychiatric patient triaging: an investigation of cascading classifiers.
J. Am. Medical Informatics Assoc., 2018

Call for Papers - Special Issue of <i>Information Systems Research</i> - Humans, Algorithms, and Augmented Intelligence: The Future of Work, Organizations, and Society.
Inf. Syst. Res., 2018

A content engagement score for online learning platforms.
Proceedings of the Fifth Annual ACM Conference on Learning at Scale, 2018

The Development of a Multidimensional Engagement Measure.
Proceedings of the 24th Americas Conference on Information Systems, 2018

2017
Applying behavioral economics in predictive analytics for B2B churn: Findings from service quality data.
Decis. Support Syst., 2017

Predicting Presidential Election Outcomes from What People Watch.
Big Data, 2017

2016
Opioid-Related Side Effects and Adverse Reactions: Mining of Patient Secure Messages.
Proceedings of the AMIA 2016, 2016

2015
Does Television Viewership Predict Presidential Election Outcomes?
Big Data, 2015

A process model for information retrieval context learning and knowledge discovery.
Artif. Intell. Law, 2015

Reducing Healthcare Costs through Medical Recommendations.
Proceedings of the AMIA 2015, 2015

2014
The "Most Popular News" Recommender: Count Amplification and Manipulation Resistance.
Inf. Syst. Res., 2014

2013
Current degradation due to electromechanical coupling in GaN HEMT's.
Microelectron. J., 2013

Goal attainment on long tail web sites: An information foraging approach.
Decis. Support Syst., 2013

2012
From Business Intelligence to Competitive Intelligence: Inferring Competitive Measures Using Augmented Site-Centric Data.
Inf. Syst. Res., 2012

Discovery of Periodic Patterns in Sequence Data: A Variance-Based Approach.
INFORMS J. Comput., 2012

Probabilistic news recommender systems with feedback.
Proceedings of the Sixth ACM Conference on Recommender Systems, 2012

News Recommender Systems with Feedback.
Proceedings of the International Conference on Information Systems, 2012

Analysis of Probabilistic News Recommender Systems.
Proceedings of the 18th Americas Conference on Information Systems, 2012

2011
From information to operations: Service quality and customer retention.
ACM Trans. Manag. Inf. Syst., 2011

SCENE: a scalable two-stage personalized news recommendation system.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

The "top N" news recommender: count distortion and manipulation resistance.
Proceedings of the 2011 ACM Conference on Recommender Systems, 2011

2010
Toward user patterns for online security: Observation time and online user identification.
Decis. Support Syst., 2010

2009
Leveraging Unlabeled Data for Classification.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Goal Attainment on Long Tail Websites: An Information Foraging Approach.
Proceedings of the 15th Americas Conference on Information Systems, 2009

2007
Constructing Ensembles from Data Envelopment Analysis.
INFORMS J. Comput., 2007

2006
On Characterization and Discovery of Minimal Unexpected Patterns in Rule Discovery.
IEEE Trans. Knowl. Data Eng., 2006

An Empirical Analysis of the Value of Complete Information for eCRM Models.
MIS Q., 2006

Selectively Acquiring Customer Information: A New Data Acquisition Problem and an Active Learning-Based Solution.
Manag. Sci., 2006

Cluster Evolution and Interpretation via Penalties.
Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

2005
GHIC: A Hierarchical Pattern-Based Clustering Algorithm for Grouping Web Transactions.
IEEE Trans. Knowl. Data Eng., 2005

2004
A DEA approach for model combination.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

On the discovery of significant statistical quantitative rules.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

2003
On the Use of Optimization for Data Mining: Theoretical Interactions and eCRM Opportunities.
Manag. Sci., 2003

On the Existence and Significance of Data Preprocessing Biases in Web-Usage Mining.
INFORMS J. Comput., 2003

Segmenting Customer Transactions Using a Pattern-Based Clustering Approach.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

On Original Generation of Structure in Legal Documents.
Proceedings of the 9th International Conference on Artificial Intelligence and Law, 2003

Generating Original Structure in Regulatory Documents.
Proceedings of the 2003 Annual National Conference on Digital Government Research, 2003

Pattern-Oriented Clustering of Web Transactions.
Proceedings of the 9th Americas Conference on Information Systems, 2003

2002
Knowledge refinement based on the discovery of unexpected patterns in data mining.
Decis. Support Syst., 2002

On Active Learning for Data Acquisition.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

2001
Personalization from incomplete data: what you don't know can hurt.
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001

2000
Small is beautiful: discovering the minimal set of unexpected patterns.
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000

1999
Unexpectedness as a measure of interestingness in knowledge discovery.
Decis. Support Syst., 1999

1998
A Belief-Driven Method for Discovering Unexpected Patterns.
Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998

1996
Pattern Discovery in Temporal Databases: A Temporal Logic Approach.
Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), 1996

Web Living Case: A Web Based Business Case Delivery System for Collaborative Work.
Proceedings of the Seventeenth International Conference on Information Systems, 1996


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