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An active learning approach for identifying the smallest subset of informative scenarios for robust planning under deep uncertainty.

, , , and . Environ. Model. Softw., (2020)

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Water Resources Systems Operations via Multiagent Negotiation: (Extended Abstract)., , , , and . AAMAS, page 1379-1380. ACM, (2016)Real-time control of water reservoir operations: a learning-based hierarchical approach., , , and . CoRR, (2020)Modeling the Management of Water Resources Systems Using Multi-Objective DCOPs., , and . AAMAS, page 821-829. ACM, (2015)A Matlab toolbox for designing Multi-Objective Optimal Operations of water reservoir systems., , , , , and . Environ. Model. Softw., (2016)Sparse Optimization for Automated Energy End Use Disaggregation., , , , and . IEEE Trans. Control. Syst. Technol., 24 (3): 1044-1051 (2016)Analysis, Characterization, Prediction and Attribution of Extreme Atmospheric Events with Machine Learning: a Review., , , , , , , , , and 2 other author(s). CoRR, (2022)Advancing reservoir operations modelling in SWAT to reduce socio-ecological tradeoffs., , , , and . Environ. Model. Softw., (2022)Agent-based water resources management in complex decision-making contexts.. Polytechnic University of Milan, Italy, (2014)Reducing the Intrusiveness of Energy and Water End-Use Disaggregation via Social Media and Users Interactions., and . EcoMo@ICWSM, volume WS-16-20 of AAAI Technical Report, AAAI Press, (2016)Using Multiagent Negotiation to Model Water Resources Systems Operations., , , , and . AAMAS Workshops (Selected Papers), volume 10002 of Lecture Notes in Computer Science, page 51-72. (2016)