Saman Razavi - researchr alias

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Viewing Publication 1 - 19 from 19

2024

EnviroFutures: Envisioning the next century of environmental sciencesSaman Razavi, Daniel P. Ames, Min Chen 0008. envsoft, 171:105880, January 2024. [doi]

2023

Beyond engineering: A review of reservoir management through the lens of wickedness, competing objectives and uncertaintyWenyan Wu 0001, Leila Eamen, Graeme C. Dandy, Saman Razavi, George Kuczera, Holger R. Maier. envsoft, 167:105777, September 2023. [doi]

Exploding the myths: An introduction to artificial neural networks for prediction and forecastingHolger R. Maier, Stefano Galelli, Saman Razavi, Andrea Castelletti, Andrea Emilio Rizzoli, Ioannis N. Athanasiadis, Miquel Sànchez-Marrè, Marco Acutis, Wenyan Wu 0001, Greer B. Humphrey. envsoft, 167:105776, September 2023. [doi]

On how data are partitioned in model development and evaluation: Confronting the elephant in the room to enhance model generalizationHolger R. Maier, Feifei Zheng, Hoshin V. Gupta, Junyi Chen, Juliane Mai, Dragan A. Savic, Ralf Loritz, Wenyan Wu 0001, Danlu Guo, Andrew Bennett, Anthony J. Jakeman, Saman Razavi, Jianshi Zhao. envsoft, 167:105779, September 2023. [doi]

2022

Comparing the applicability of hydro-economic modelling approaches for large-scale decision-making in multi-sectoral and multi-regional river basinsLeila Eamen, Roy Brouwer, Saman Razavi. envsoft, 152:105385, 2022. [doi]

2021

Deep learning, explained: Fundamentals, explainability, and bridgeability to process-based modellingSaman Razavi. envsoft, 144:105159, 2021. [doi]

Sensitivity analysis: A discipline coming of ageAndrea Saltelli, Anthony J. Jakeman, Saman Razavi, Qiongli Wu. envsoft, 146:105226, 2021. [doi]

2019

Introductory overview of identifiability analysis: A guide to evaluating whether you have the right type of data for your modeling purposeJoseph H. A. Guillaume, John D. Jakeman, Stefano Marsili-Libelli, Michael Asher, Philip Brunner, Barry F. W. Croke, Mary C. Hill, Anthony J. Jakeman, Karel J. Keesman, Saman Razavi, Johannes D. Stigter. envsoft, 119:418-432, 2019. [doi]

Introductory overview: Optimization using evolutionary algorithms and other metaheuristicsHolger R. Maier, Saman Razavi, Zoran Kapelan, L. Shawn Matott, Joseph R. Kasprzyk, Bryan A. Tolson. envsoft, 114:195-213, 2019. [doi]

A multi-method Generalized Global Sensitivity Matrix approach to accounting for the dynamical nature of earth and environmental systems modelsSaman Razavi, Hoshin V. Gupta. envsoft, 114:1-11, 2019. [doi]

VARS-TOOL: A toolbox for comprehensive, efficient, and robust sensitivity and uncertainty analysisSaman Razavi, Razi Sheikholeslami, Hoshin V. Gupta, Amin Haghnegahdar. envsoft, 112:95-107, 2019. [doi]

Global sensitivity analysis for high-dimensional problems: How to objectively group factors and measure robustness and convergence while reducing computational costRazi Sheikholeslami, Saman Razavi, Hoshin V. Gupta, William Becker, Amin Haghnegahdar. envsoft, 111:282-299, 2019. [doi]

2017

Insights into sensitivity analysis of Earth and environmental systems models: On the impact of parameter perturbation scaleAmin Haghnegahdar, Saman Razavi. envsoft, 95:115-131, 2017. [doi]

Progressive Latin Hypercube Sampling: An efficient approach for robust sampling-based analysis of environmental modelsRazi Sheikholeslami, Saman Razavi. envsoft, 93:109-126, 2017. [doi]

2014

Pre-emption strategies for efficient multi-objective optimization: Application to the development of Lake Superior regulation planMasoud Asadzadeh, Saman Razavi, Bryan A. Tolson, David Fay. envsoft, 54:128-141, 2014. [doi]

2012

Numerical assessment of metamodelling strategies in computationally intensive optimizationSaman Razavi, Bryan A. Tolson, Donald H. Burn. envsoft, 34:67-86, 2012. [doi]

2011

A New Formulation for Feedforward Neural NetworksSaman Razavi, Bryan A. Tolson. tnn, 22(10):1588-1598, 2011. [doi]

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