Meghna Babbar-Sebens

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 17

Top Topics

Decision Making

Top Venues

Environ. Model. Softw.

Publications

Suleyman Uslu, Davinder Kaur, Samuel J. Rivera, Arjan Durresi, Meghna Babbar-Sebens
Causal Inference to Enhance AI Trustworthiness in Environmental Decision-Making. AINA (4) (2024)
Suleyman Uslu, Davinder Kaur, Samuel J. Rivera, Arjan Durresi, Mimoza Durresi, Meghna Babbar-Sebens
Trustworthy Fairness Metric Applied to AI-Based Decisions in Food-Energy-Water. AINA (2) (2022)
Suleyman Uslu, Davinder Kaur, Samuel J. Rivera, Arjan Durresi, Mimoza Durresi, Meghna Babbar-Sebens
Trustworthy Acceptance: A New Metric for Trustworthy Artificial Intelligence Used in Decision Making in Food-Energy-Water Sectors. AINA (1) (2021)
Suleyman Uslu, Davinder Kaur, Samuel J. Rivera, Arjan Durresi, Meghna Babbar-Sebens, Jenna H. Tilt
A Trustworthy Human-Machine framework for collective decision making in Food-Energy-Water management: The role of trust sensitivity. Knowl. Based Syst. 213 (2021)
Suleyman Uslu, Davinder Kaur, Samuel J. Rivera, Arjan Durresi, Meghna Babbar-Sebens, Jenna H. Tilt
Control Theoretical Modeling of Trust-Based Decision Making in Food-Energy-Water Management. CISIS (2020)
Suleyman Uslu, Davinder Kaur, Samuel J. Rivera, Arjan Durresi, Meghna Babbar-Sebens
Trust-Based Decision Making for Food-Energy-Water Actors. AINA (2020)
Meghna Babbar-Sebens, Kenneth R. Cannady-Shultz, Snehasis Mukhopadhyay
Interactive Watershed Optimization in the Presence of Spatially-varying and Uncertain Stakeholder Preferences. ICHMS (2020)
Andrew Hoblitzell, Meghna Babbar-Sebens, Snehasis Mukhopadhyay
Non-Stationary Reinforcement-Learning Based Dimensionality Reduction for Multi-objective Optimization of Wetland Design. ICRAI (2019)
Meghna Babbar-Sebens, Samuel J. Rivera, Eroma Abeysinghe, Suresh Marru, Marlon E. Pierce, Eric Coulter, Majid Farahani, Dimuthu Wannipurage, Marcus Christie
InterACTWEL Science Gateway for Adaptation Planning in Food-Energy-Water Sectors of Local Communities. PEARC (2019)
Suleyman Uslu, Davinder Kaur, Samuel J. Rivera, Arjan Durresi, Meghna Babbar-Sebens
Trust-Based Game-Theoretical Decision Making for Food-Energy-Water Management. BWCCA (2019)
Jennifer M. Badham, Sondoss El Sawah, Joseph H. A. Guillaume, Serena H. Hamilton, Randall J. Hunt, Anthony J. Jakeman, Suzanne A. Pierce, Valerie O. Snow, Meghna Babbar-Sebens, Baihua Fu, Patricia Gober, Mary C. Hill, Takuya Iwanaga, Daniel P. Loucks, Wendy S. Merritt, Scott D. Peckham, Amy K. Richmond, Fateme Zare, Gabriele Bammer
Effective modeling for Integrated Water Resource Management: A guide to contextual practices by phases and steps and future opportunities. Environ. Model. Softw. 116 (2019)
Thanh Nguyen, Snehasis Mukhopadhyay, Meghna Babbar-Sebens
Why the 'selfish' optimizing agents could solve the decentralized reinforcement learning problems. AI Commun. 32 (2) (2019)
Suleyman Uslu, Davinder Kaur, Samuel J. Rivera, Arjan Durresi, Meghna Babbar-Sebens
Decision Support System Using Trust Planning Among Food-Energy-Water Actors. AINA (2019)
Andrew Hoblitzell, Meghna Babbar-Sebens, Snehasis Mukhopadhyay
Uncertainty-Based Deep Learning Networks for Limited Data Wetland User Models. AIVR (2018)
Andrew Hoblitzell, Meghna Babbar-Sebens, Snehasis Mukhopadhyay
Machine Learning with Small Data for User Modeling of Watershed Stakeholders Engaged in Interactive Optimization. CSAI/ICIMT (2018)
Andrew Hoblitzell, Meghna Babbar-Sebens, Snehasis Mukhopadhyay
Fuzzy and deep learning approaches for user modeling in wetland design. SMC (2016)
Meghna Babbar-Sebens, Snehasis Mukhopadhyay, Vidya Bhushan Singh, Adriana Debora Piemonti
A web-based software tool for participatory optimization of conservation practices in watersheds. Environ. Model. Softw. 69 (2015)
Snehasis Mukhopadhyay, Vidya Bhushan Singh, Meghna Babbar-Sebens
User modeling with limited data: Application to stakeholder-driven watershed design. SMC (2014)
Vidya Bhushan Singh, Snehasis Mukhopadhyay, Meghna Babbar-Sebens
User Modelling for Interactive Optimization Using Neural Network. SMC (2013)
Meghna Babbar-Sebens, Barbara S. Minsker
Interactive Genetic Algorithm with Mixed Initiative Interaction for multi-criteria ground water monitoring design. Appl. Soft Comput. 12 (1) (2012)
Vidya Bhushan Singh, Snehasis Mukhopadhyay, Meghna Babbar-Sebens
Decentralized pursuit learning automata in batch mode. SCIS&ISIS (2012)
Omkar J. Tilak, Meghna Babbar-Sebens, Snehasis Mukhopadhyay
Decentralized and partially decentralized reinforcement learning for designing a distributed wetland system in watersheds. SMC (2011)
Meghna Babbar-Sebens, Barbara S. Minsker
A Case-Based Micro Interactive Genetic Algorithm (CBMIGA) for interactive learning and search: Methodology and application to groundwater monitoring design. Environ. Model. Softw. 25 (10) (2010)
Meghna Babbar-Sebens, Snehasis Mukhopadhyay
Reinforcement Learning for Human-Machine Collaborative Optimization: Application in Ground Water Monitoring. SMC (2009)