Meghna Babbar-Sebens

According to our database1, Meghna Babbar-Sebens authored at least 25 papers between 2002 and 2024.

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

Timeline

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Bibliography

2024
Causal Inference to Enhance AI Trustworthiness in Environmental Decision-Making.
Proceedings of the Advanced Information Networking and Applications, 2024

2022
Trustworthy Fairness Metric Applied to AI-Based Decisions in Food-Energy-Water.
Proceedings of the Advanced Information Networking and Applications, 2022

2021
A Trustworthy Human-Machine framework for collective decision making in Food-Energy-Water management: The role of trust sensitivity.
Knowl. Based Syst., 2021

Trustworthy Acceptance: A New Metric for Trustworthy Artificial Intelligence Used in Decision Making in Food-Energy-Water Sectors.
Proceedings of the Advanced Information Networking and Applications, 2021

2020
Interactive Watershed Optimization in the Presence of Spatially-varying and Uncertain Stakeholder Preferences.
Proceedings of the IEEE International Conference on Human-Machine Systems, 2020

Control Theoretical Modeling of Trust-Based Decision Making in Food-Energy-Water Management.
Proceedings of the Complex, Intelligent and Software Intensive Systems, 2020

Trust-Based Decision Making for Food-Energy-Water Actors.
Proceedings of the Advanced Information Networking and Applications, 2020

2019
Effective modeling for Integrated Water Resource Management: A guide to contextual practices by phases and steps and future opportunities.
Environ. Model. Softw., 2019

Why the 'selfish' optimizing agents could solve the decentralized reinforcement learning problems.
AI Commun., 2019

InterACTWEL Science Gateway for Adaptation Planning in Food-Energy-Water Sectors of Local Communities.
Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning), 2019

Non-Stationary Reinforcement-Learning Based Dimensionality Reduction for Multi-objective Optimization of Wetland Design.
Proceedings of the ICRAI 2019: 5th International Conference on Robotics and Artificial Intelligence, 2019

Trust-Based Game-Theoretical Decision Making for Food-Energy-Water Management.
Proceedings of the Advances on Broad-Band Wireless Computing, Communication and Applications, 2019

Decision Support System Using Trust Planning Among Food-Energy-Water Actors.
Proceedings of the Advanced Information Networking and Applications, 2019

2018
Machine Learning with Small Data for User Modeling of Watershed Stakeholders Engaged in Interactive Optimization.
Proceedings of the 2018 2nd International Conference on Computer Science and Artificial Intelligence, 2018

Uncertainty-Based Deep Learning Networks for Limited Data Wetland User Models.
Proceedings of the 2018 IEEE International Conference on Artificial Intelligence and Virtual Reality, 2018

2016
Fuzzy and deep learning approaches for user modeling in wetland design.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

2015
A web-based software tool for participatory optimization of conservation practices in watersheds.
Environ. Model. Softw., 2015

2014
User modeling with limited data: Application to stakeholder-driven watershed design.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

2013
User Modelling for Interactive Optimization Using Neural Network.
Proceedings of the IEEE International Conference on Systems, 2013

2012
Interactive Genetic Algorithm with Mixed Initiative Interaction for multi-criteria ground water monitoring design.
Appl. Soft Comput., 2012

Decentralized pursuit learning automata in batch mode.
Proceedings of the 6th International Conference on Soft Computing and Intelligent Systems (SCIS), 2012

2011
Decentralized and partially decentralized reinforcement learning for designing a distributed wetland system in watersheds.
Proceedings of the IEEE International Conference on Systems, 2011

2010
A Case-Based Micro Interactive Genetic Algorithm (CBMIGA) for interactive learning and search: Methodology and application to groundwater monitoring design.
Environ. Model. Softw., 2010

2009
Reinforcement Learning for Human-Machine Collaborative Optimization: Application in Ground Water Monitoring.
Proceedings of the IEEE International Conference on Systems, 2009

2002
A Multiscale Master-Slave Parallel Genetic Algorithm with Application to Groundwater Remediation Design.
Proceedings of the Late Breaking papers at the Genetic and Evolutionary Computation Conference (GECCO-2002), 2002


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