Moninder Singh

According to our database1, Moninder Singh authored at least 66 papers between 1993 and 2024.

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Bibliography

2024
Reasoning about concepts with LLMs: Inconsistencies abound.
CoRR, 2024

Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations.
CoRR, 2024

Ranking Large Language Models without Ground Truth.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

SocialStigmaQA: A Benchmark to Uncover Stigma Amplification in Generative Language Models.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Function Composition in Trustworthy Machine Learning: Implementation Choices, Insights, and Questions.
CoRR, 2023

2022
On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Write It Like You See It: Detectable Differences in Clinical Notes by Race Lead to Differential Model Recommendations.
Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022

Your fairness may vary: Pretrained language model fairness in toxic text classification.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022


2021
Ground-Truth, Whose Truth? - Examining the Challenges with Annotating Toxic Text Datasets.
CoRR, 2021

An Empirical Study of Accuracy, Fairness, Explainability, Distributional Robustness, and Adversarial Robustness.
CoRR, 2021

Your fairness may vary: Group fairness of pretrained language models in toxic text classification.
CoRR, 2021


Introduction to AI Fairness.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

Anomaly Attribution with Likelihood Compensation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
AI Explainability 360: An Extensible Toolkit for Understanding Data and Machine Learning Models.
J. Mach. Learn. Res., 2020


Introduction to Explainable AI.
Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020

2019
Think Your Artificial Intelligence Software Is Fair? Think Again.
IEEE Softw., 2019

Teaching AI agents ethical values using reinforcement learning and policy orchestration.
IBM J. Res. Dev., 2019

AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias.
IBM J. Res. Dev., 2019

Understanding racial bias in health using the Medical Expenditure Panel Survey data.
CoRR, 2019

One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques.
CoRR, 2019

2018
Estimating Fungibility Between Skills by Combining Skill Similarities Obtained from Multiple Data Sources.
Data Sci. Eng., 2018

AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias.
CoRR, 2018

Interpretable Multi-Objective Reinforcement Learning through Policy Orchestration.
CoRR, 2018

Assessing National Development Plans for Alignment With Sustainable Development Goals via Semantic Search.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Effectiveness of peer detailing in a diarrhea program in Nigeria.
IBM J. Res. Dev., 2017

Understanding the ecospace of philanthropic projects.
IBM J. Res. Dev., 2017

Propensity modeling for employee Re-skilling.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

A configurable, big data system for on-demand healthcare cost prediction.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Statistical Analysis of Peer Detailing for Children's Diarrhea Treatments.
Proceedings of the 2017 AAAI Spring Symposia, 2017

2015
Identifying Employees for Re-skilling Using an Analytics-Based Approach.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

A talent management tool using propensity to leave analytics.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

2013
Quantile regression for workforce analytics.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

2012
Sales-force performance analytics and optimization.
IBM J. Res. Dev., 2012

Decision trees for heterogeneous dose-response signal analysis.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Does selection bias blind performance diagnostics of business decision models? A case study in salesforce optimization.
Proceedings of 2012 IEEE International Conference on Service Operations and Logistics, 2012

Interactive Visual Salesforce Analytics.
Proceedings of the International Conference on Information Systems, 2012

An Analytics Approach for Proactively Combating Voluntary Attrition of Employees.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

2011
Estimating Post-Event Seller Productivity Profiles in Dynamic Sales Organizations.
Proceedings of the Data Mining Workshops (ICDMW), 2011

MCMC inference of the shape and variability of time-response signals.
Proceedings of the IEEE International Conference on Acoustics, 2011

2009
Winning the KDD Cup Orange Challenge with Ensemble Selection.
Proceedings of KDD-Cup 2009 competition, Paris, France, June 28, 2009, 2009

A framework for combined bayesian analysis and optimization for services delivery.
Proceedings of the 2009 IEEE/INFORMS International Conference on Service Operations, 2009

2008
K-means clustering of proportional data using L1 distance.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Categorization using semi-supervised clustering.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

2007
Statistical methods for automated generation of service engagement staffing plans.
IBM J. Res. Dev., 2007

2005
Automated cleansing for spend analytics.
Proceedings of the 2005 ACM CIKM International Conference on Information and Knowledge Management, Bremen, Germany, October 31, 2005

2004
Data Protection and Data Sharing in Telematics.
Mob. Networks Appl., 2004

A system for automated mapping of bill-of-materials part numbers.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

2003
Object Oriented XML Query by Example.
Proceedings of the Conceptual Modeling for Novel Application Domains, 2003

2002
An architecture of diversity for commonsense reasoning.
IBM Syst. J., 2002

Framework for security and privacy in automotive telematics.
Proceedings of the 2nd International Workshop on Mobile Commerce, 2002

2000
Algebra jam: supporting teamwork and managing roles in a collaborative learning environment.
Proceedings of the CSCW 2000, 2000

1997
An Expert System Using Nonmonotonic Techniques for Beneefits Inquiry in the Insurance Industry.
Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, 1997

Learning Bayesian Networks from Incomplete Data.
Proceedings of the Fourteenth National Conference on Artificial Intelligence and Ninth Innovative Applications of Artificial Intelligence Conference, 1997

1996
Path Consistency Revisited.
Int. J. Artif. Intell. Tools, 1996

Data Mining and Model Simplicity: A Case Study in Diagnosis.
Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), 1996

Efficient Learning of Selective Bayesian Network Classifiers.
Proceedings of the Machine Learning, 1996

Learning Goal Oriented Bayesian Networks for Telecommunications Risk Management.
Proceedings of the Machine Learning, 1996

Dynamic Constraint-Based Planning in Trauma Management.
Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996

Induction of Selective Bayesian Networks from Data.
Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996

1995
Construction of Bayesian network structures from data: A brief survey and an efficient algorithm.
Int. J. Approx. Reason., 1995

A Comparison of Induction Algorithms for Selective and non-Selective Bayesian Classifiers.
Proceedings of the Machine Learning, 1995

Learning Bayesian Networks Using Feature Selection.
Proceedings of the Learning from Data, 1995

1993
An Algorithm for the Construction of Bayesian Network Structures from Data.
Proceedings of the UAI '93: Proceedings of the Ninth Annual Conference on Uncertainty in Artificial Intelligence, 1993


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