Moninder Singh  Moninder Singh photo         

contact information

Research Staff Member
Thomas J. Watson Research Center, Yorktown Heights, NY USA
  +1dash914dash945dash1973

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2020

AI Explainability 360: An Extensible Toolkit for Understanding Data and Machine Learning Models
Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, and Yunfeng Zhang
Journal of Machine Learning Research 21(130), 1-6, 2020

Introduction to AI Fairness
Yunfeng Zhang, Rachel K. E. Bellamy, Moninder Singh, Q. Vera Liao
Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, pp. 1-4
microeconomics, computer science

Introduction to Explainable AI
Q. Vera Liao, Moninder Singh, Yunfeng Zhang, Rachel K. E. Bellamy
Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, pp. 1-4
epistemology, computer science


2019

Teaching AI Agents Ethical Values Using Reinforcement Learning and Policy Orchestration
Ritesh Noothigattu, Djallel Bouneffouf, Nicholas Mattei, Rachita Chandra, Piyush Madan, Kush R. Varshney, Murray Campbell, Moninder Singh, and Francesca Rossi
IBM Journal of Research and Development 63(4/5), 2, 2019

AI Fairness 360: An Extensible Toolkit for Detecting and Mitigating Algorithmic Bias
Rachel K. E. Bellamy, Kuntal Dey, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Kalapriya Kannan, Pranay Lohia, Jacquelyn Martino, Sameep Mehta, Aleksandra Mojsilovi?, Seema Nagar, Karthikeyan Natesan Ramamurthy, John Richards, Diptikalyan Saha, Prasanna Sattigeri, Moninder Singh, Kush R. Varshney, and Yunfeng Zhang
IBM Journal of Research and Development 63(4/5), 4, 2019

Understanding racial bias in health using the Medical Expenditure Panel Survey data
Moninder Singh, Karthikeyan Natesan Ramamurthy
NeurIPS Fair Machine Learning for Health Workshop, 2019

Think Your Artificial Intelligence Software is Fair? Think Again.
Rachel K. E. Bellamy, Kuntal Dey, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Kalapriya Kannan, Pranay Lohia, Sameep Mehta, Aleksandra Mojsilovic, Seema Nagar, Karthikeyan Natesan Ramamurthy, John Richards, Diptikalyan Saha, Prasanna Sattigeri, Moninder Singh, Kush R. Varshney, and Yunfeng Zhang.
IEEE Software 36(4), 76-80, 2019

Teaching AI Agents Ethical Values Using Reinforcement Learning and Policy Orchestration
Ritesh Noothigattu, Djallel Bouneffouf, Nicholas Mattei, Rachita Chandra, Piyush Madan, Kush R. Varshney, Murray Campbell, Moninder Singh, Francesca Rossi
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, pp. 6377-6381, 2019


2018

Estimating Fungibility between Skills by Combining Skill- Similarities Obtained from Multiple Data Sources
Shrihari Vasudevan, Moninder Singh, Joydeep Mondal, Michael Peran, Ben Zweig, Brian Johnston and Rachel Rosenfeld
Data Science and Engineering 3(3), 248-262, 2018

Assessing National Development Plans for Alignment with Sustainable Development Goals via Semantic Search
Jonathan Galsurkar, Moninder Singh, Lingfei Wu, Aditya Vempaty, Mikhail Sushkov, Devika Iyer, Serge Kapto, and Kush R. Varshney
Thirtieth Conference on Innovative Applications of Artificial Intelligence (IAAI-18), 2018


2017

Propensity Modeling for Employee Re - Skilling.
Moninder Singh, Karthikeyan Natesan Ramamurthy, and Shrihari Vasudevan
IEEE Global Symposium on Signal and Information Processing, 2017

Estimating Fungibility between Skills by Combining Skill - Similarities Obtained from Multiple Data Sources
Shrihari Vasudevan, Moninder Singh, Joydeep Mondal, Michael Peran, Ben Zweig, Brian Johnston and Rachel Rosenfeld
IEEE International Conference on Data Mining Workshop on Data Science for Human Capital Management, 2017

A Configurable, Big Data System for On - Demand Healthcare Cost Prediction.
Karthikeyan Natesan Ramamurthy, Dennis Wei, Emily Ray, Moninder Singh, Vijay Iyengar, Dmitriy Katz - Rogozhnikov, Jingwei Yang, Kevi n Tran, and Gigi Yuen - Reed
IEEE International Conference on Big Data, 2017

Effectiveness of Peer Detailing in a Diarrhea Program in Nigeria
Yumeng Tao, Debarun Bhattacharjya, Aliza R. Heching, Aditya Vempaty, Moninder Singh, Felix Lam, Jason Houdek, Mohammed Abubakar, Ahmad Abdulwahab, Tiwadayo Baraimoh, Nnenna Ihebuzor, Aleksandra Mojsilovic, and Kush R. Varshney
IBM Journal of Research and Development 61(5), 2017

Understanding the Ecospace of Philanthropic Projects
Hemank Lamba, Mary E. Helander, Moninder Singh, Nizar Lethif, Anuradha Bhamidipaty, Salman Baset, Aleksandra Mojsilovic, and Kush R. Varshney
IBM Journal of Research and Development 61(5), 2017

Statistical Analysis of Peer Detailing for Children's Diarrhea Treatments
Yumeng Tao, Debarun Bhattacharjya, Aliza R. Heching, Aditya Vempaty, Moninder Singh, Felix Lam, Kush R. Varshney, and Aleksandra Mojsilovic
AAAI Spring Symposium on AI for Social Good, pp. 53-59, 2017


2015

Identifying Employees for Re-Skilling using an Analytics-Based Approach
Karthikeyan N. Ramamurthy, Moninder Singh, Michael Davis, Jason A. Kevern, Uri Klein and Michael Peran
IEEE International Conference on Data Mining (ICDM) - Workshop on Data Mining for Service, 2015

A Talent Management Tool using Propensity to Leave Analytics
Karthikeyan N. Ramamurthy, Moninder Singh, Yichong Yu, Jessica Aspis, Matt Iames, Michael Peran and Qin Held
IEEE International Conference on Data Science and Advanced Analytics, 2015
Best Application Paper Award


2013

Interactive Visual Communication of Predictive Workforce Analytics
Shubir Kapoor, Steven L. Rohall, Aleksandra Mojsilovic, Donna Gresh, Moninder Singh and Deepika Kakrania
IEEE VIS, 2013

Dose-Response Signal Estimation and Optimization for Salesforce Management
Kush R. Varshney and Moninder Singh
IEEE International Conference on Service Operations and Logistics, and Informatics, 2013

Quantile Regression for Workforce Analytics.
Karthikeyan N. Ramamurthy, Kush R. Varshney and Moninder Singh
IEEE Global Conference on Signal and Information Processing, 2013


2012

Does Selection Bias Blind Performance Diagnostics of Business Decision Models? A Case Study in Salesforce Optimization
Jun Wang, Moninder Singh, and Kush R. Varshney
IEEE International Conference on Service Operations and Logistics, and Informatics, pp. 416-421, 2012

Interactive Visual Salesforce Analytics
Kush R. Varshney, Jamie C. Rasmussen, Aleksandra Mojsilovic, Moninder Singh, and Joan M. DiMicco
International Conference on Information Systems, 2012

An Analytics Approach for Proactively Combating Voluntary Attrition of Employees
Moninder Singh, Kush R. Varshney, Jun Wang, Aleksandra Mojsilovic, Mark S. Squillante, Yingdong Lu, Alisia Gill, Patricia Faur, and Raphael Ezry
IEEE International Conference on Data Mining (ICDM) - Workshop on Data Mining for Service, pp. 317--323, 2012

Sales-Force Performance Analytics and Optimization
Moritz Baier, Jorge E. Carballo, Alice J. Chang, Yingdong Lu, Aleksandra Mojsilovic, M. Jonathan Richard, Moninder Singh, Mark S. Squillante, and Kush R. Varshney
IBM Journal of Research and Development 56(6), 8--1, IBM, 2012


2011

MCMC inference of the shape and variability of time-response signals
Dmitriy A. Katz-Rogozhnikov, Kush R. Varshney, Aleksandra Mojsilovic, Moninder Singh
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2011

The growth and performance diagnostics initiative: A multidimensional framework for sales performance analysis and management
M Singh, D Bhattacharjya, L Deleris, D Katz-Rogozhnikov, M Squillante, B Ray, A Mojsilovic, C Barrera, D Kakrania, J Richard, others
Serv. Sci 3(1), 82--98, 2011


2009

A framework for combined bayesian analysis and optimization for services delivery
A Shirazi, J Hu, M Singh, M Squillante, A Mojsilovic
Service Operations, Logistics and Informatics, 2009, pp. 382--387


Winning the KDD cup orange challenge with ensemble selection
A Niculescu-Mizil, C Perlich, G Swirszcz, V Sindhwani, Y Liu, P Melville, D Wang, J Xiao, J Hu, M Singh, others
KDD Cup and Workshop in conjunction with KDD, pp. 23--34, Citeseer, 2009


2008


K-means clustering of proportional data using L1 distance
H Kashima, J Hu, B Ray, M Singh
Pattern Recognition, 2008, pp. 1--4



2007

Statistical methods for automated generation of service engagement staffing plans
J Hu, BK Ray, M Singh
IBM journal of research and development 51(3.4), 281--293, IBM, 2007


2006

Using Data Mining in Procurement Business Transformation Outsourcing
M Singh, J R Kalagnanam
Workshop on Data Mining for Business Applications, 2006


2005

Automated cleansing for spend analytics
M Singh, J R Kalagnanam, S Verma, A J Shah, S K Chalasani
Proceedings of the 14th ACM international conference on Information and knowledge management, pp. 437--445, 2005


2004

Enhanced Semantic Networks: Hybrid Knowledge Structures for Reasoning
L Morgenstern, E Mueller, D Riecken, M Singh, L Gong
IBM Research Report, 2004

A system for automated mapping of bill-of-materials part numbers
J Kalagnanam, M Singh, S Verma, M Patek, Y W Wong
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 805--810, 2004

Data protection and data sharing in telematics
S Duri, J Elliott, M Gruteser, X Liu, P Moskowitz, R Perez, M Singh, J M Tang
Mobile Networks and Applications 9(6), 693--701, Springer, 2004


2003

Object oriented XML query by example
K Bohrer, X Liu, S McLaughlin, E Schonberg, M Singh
Conceptual Modeling for Novel Application Domains, 323--329, Springer, 2003

International Workshop on XSDM at ER 2003 (XSDM 2003)-Object Oriented XML Query by Example
K Bohrer, X Liu, S McLaughlin, E Schonberg, M Singh
Lecture Notes in Computer Science2814, 323--329, Berlin: Springer-Verlag, 1973-, 2003


2002

An architecture of diversity for commonsense reasoning
J McCarthy, M Minsky, A Sloman, L Gong, T Lau, L Morgenstern, E T Mueller, D Riecken, M Singh, P Singh
IBM Systems Journal 41(3), 530--539, I, 2002

Framework for Security and Privacy in
S Duri, M Gruteser, X Liu, P Moskowitz, R Perez, M Singh, J M Tang
WMC'02: proceedings of the Second ACM International Workshop on Mobile Commerce: September 28, 2002, Atlanta, Georgia, USA: in conjunction with ACM Sigmobile Eighth International Conference on Mobile Computing and Networking, pp. 25


2000

Algebra jam: supporting teamwork and managing roles in a collaborative learning environment
M K Singley, M Singh, P Fairweather, R Farrell, S Swerling
Proceedings of the 2000 ACM conference on Computer supported cooperative work, pp. 145--154, ACM


1998



1997


Learning Bayesian networks from incomplete data
M Singh
Proceedings of the National conference on Artificial Intelligence, pp. 534--539, 1997


1996

Dynamic constraint-based planning in trauma management
Singh, Moninder
PROCEEDINGS OF THE NATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE, pp. 1408--1408, 1996
Abstract

Induction of selective Bayesian networks from data
M Singh
PROCEEDINGS OF THE NATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE, pp. 1371--1371, 1996

Data mining and model simplicity: A case study in diagnosis
G M Provan, M Singh
Second International Conference on Knowledge Discovery and Data Mining (KDD96), Portland, Oregon, 1996

Path consistency revisited
M SINGH
tai, pp. 127--141, 1996

Learning Bayesian networks using feature selection
G M Provan, M Singh
LECTURE NOTES IN STATISTICS-NEW YORK-SPRINGER VERLAG-, 291--300, SPRINGER VERLAG KG, 1996


E cient learning of selective Bayesian network classifiers
M Singh, G M Provan
Proceedings of the Thirteenth International Conference on Machine Learning, 1996


1995



A comparison of induction algorithms for selective and non-selective Bayesian classifiers
M Singh, G M Provan
Proceedings of the Twelfth International Conference on Machine Learning, pp. 497--505, 1995

Construction of bayesian belief networks from data: A brief survey and an efficient algorithm
M Singh, M Valtorta
International Journal of Approximate Reasoning 12(2), 111--131, Elsevier, 1995


1993

An algorithm for the construction of Bayesian network structures from data
M Singh, M Valtorta
Proceedings of the Ninth conference on Uncertainty in Artificial Intelligence, pp. 259--265, 1993