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ORCIDHolger R. Maier
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- affiliation: University of Adelaide, Australia
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2020 – today
- 2025
[j75]Yiran Ji, Feifei Zheng, Jinhua Wen, Qifeng Li, Junyi Chen, Holger R. Maier, Hoshin V. Gupta:
An R package to partition observation data used for model development and evaluation to achieve model generalizability. Environ. Model. Softw. 183: 106238 (2025)- 2024
- [j74]Eike M. Hamers
, Holger R. Maier, Aaron C. Zecchin, Hedwig van Delden:
Framework for considering the interactions between climate change, socio-economic development and land use planning in the assessment of future flood risk. Environ. Model. Softw. 171: 105886 (2024) - 2023
- [j73]Peng Wang, Aaron C. Zecchin, Holger R. Maier:
Improved selection strategy for multi-objective evolutionary algorithms with application to water distribution optimization problems. Comput. Aided Civ. Infrastructure Eng. 38(10): 1290-1306 (2023) - [j72]Maria P. Vilas, Felix Egger, Matthew P. Adams, Holger R. Maier, Barbara J. Robson, Jonathan Ferrer-Mestres, Lachlan K. Stewart, Paul Maxwell, Katherine R. O'Brien:
TALKS: A systematic framework for resolving model-data discrepancies. Environ. Model. Softw. 163: 105668 (2023) - [j71]Holger R. Maier, Stefano Galelli, Saman Razavi, Andrea Castelletti, Andrea Emilio Rizzoli, Ioannis N. Athanasiadis, Miquel Sànchez-Marrè, Marco Acutis, Wenyan Wu, Greer B. Humphrey:
Exploding the myths: An introduction to artificial neural networks for prediction and forecasting. Environ. Model. Softw. 167: 105776 (2023) - [j70]Wenyan Wu, Leila Eamen, Graeme C. Dandy, Saman Razavi, George Kuczera, Holger R. Maier:
Beyond engineering: A review of reservoir management through the lens of wickedness, competing objectives and uncertainty. Environ. Model. Softw. 167: 105777 (2023) - [j69]Holger R. Maier, Feifei Zheng, Hoshin V. Gupta, Junyi Chen, Juliane Mai, Dragan A. Savic, Ralf Loritz, Wenyan Wu, Danlu Guo, Andrew Bennett, Anthony J. Jakeman, Saman Razavi, Jianshi Zhao:
On how data are partitioned in model development and evaluation: Confronting the elephant in the room to enhance model generalization. Environ. Model. Softw. 167: 105779 (2023) - 2022
- [j68]S. Zhu, Holger R. Maier, Aaron C. Zecchin:
Identification of metrics suitable for determining the features of real-world optimisation problems. Environ. Model. Softw. 148: 105281 (2022) - 2021
- [j67]Sam Culley, Holger R. Maier, Seth Westra, Bree Bennett:
Identifying critical climate conditions for use in scenario-neutral climate impact assessments. Environ. Model. Softw. 136: 104948 (2021) - [j66]Saman Razavi, Anthony J. Jakeman, Andrea Saltelli, Clémentine Prieur, Bertrand Iooss, Emanuele Borgonovo, Elmar Plischke, Samuele Lo Piano, Takuya Iwanaga, William E. Becker, Stefano Tarantola, Joseph H. A. Guillaume, John D. Jakeman, Hoshin V. Gupta, Nicola Melillo, Giovanni Rabitti, Vincent Chabridon, Qingyun Duan, Holger R. Maier:
The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support. Environ. Model. Softw. 137: 104954 (2021) - [j65]Bree Bennett, Anjana Devanand, Sam Culley, Seth Westra, Danlu Guo, Holger R. Maier:
A modelling framework and R-package for evaluating system performance under hydroclimate variability and change. Environ. Model. Softw. 139: 104999 (2021) - [j64]Cameron McPhail, Holger R. Maier, Seth Westra, Leon van der Linden, Jan H. Kwakkel:
Guidance framework and software for understanding and achieving system robustness. Environ. Model. Softw. 142: 105059 (2021) - 2020
- [j63]Federico Giudici, Andrea Castelletti, Matteo Giuliani, Holger R. Maier:
An active learning approach for identifying the smallest subset of informative scenarios for robust planning under deep uncertainty. Environ. Model. Softw. 127: 104681 (2020) - [j62]Charles Peter Newland, Hedwig van Delden, Aaron C. Zecchin, Jeffrey P. Newman, Holger R. Maier:
A hybrid (semi) automatic calibration method for Cellular Automata land-use models: Combining evolutionary algorithms with process understanding. Environ. Model. Softw. 134: 104830 (2020)
2010 – 2019
- 2019
- [j61]Michael Di Matteo, Ruijie Liang, Holger R. Maier, Mark A. Thyer, Angus R. Simpson, Graeme C. Dandy, Ben Ernst:
Controlling rainwater storage as a system: An opportunity to reduce urban flood peaks for rare, long duration storms. Environ. Model. Softw. 111: 34-41 (2019) - [j60]Michael Di Matteo, Holger R. Maier, Graeme C. Dandy:
Many-objective portfolio optimization approach for stormwater management project selection encouraging decision maker buy-in. Environ. Model. Softw. 111: 340-355 (2019) - [j59]Holger R. Maier, Saman Razavi, Zoran Kapelan, L. Shawn Matott, Joseph R. Kasprzyk, Bryan A. Tolson:
Introductory overview: Optimization using evolutionary algorithms and other metaheuristics. Environ. Model. Softw. 114: 195-213 (2019) - [j58]Graeme C. Dandy, Angela Marchi, Holger R. Maier, John Kandulu, Darla Hatton MacDonald, Arman Ganji:
An integrated framework for selecting and evaluating the performance of stormwater harvesting options to supplement existing water supply systems. Environ. Model. Softw. 122 (2019) - 2018
- [j57]Charles Peter Newland, Holger R. Maier, Aaron C. Zecchin, Jeffrey P. Newman, Hedwig van Delden:
Multi-objective optimisation framework for calibration of Cellular Automata land-use models. Environ. Model. Softw. 100: 175-200 (2018) - [j56]Charles Peter Newland, Aaron C. Zecchin, Holger R. Maier, Jeffrey P. Newman, Hedwig van Delden:
Empirically derived method and software for semi-automatic calibration of Cellular Automata land-use models. Environ. Model. Softw. 108: 208-239 (2018) - 2017
- [j55]Greer B. Humphrey, Holger R. Maier, Wenyan Wu, Nick J. Mount, Graeme C. Dandy, Robert J. Abrahart, Christian W. Dawson:
Improved validation framework and R-package for artificial neural network models. Environ. Model. Softw. 92: 82-106 (2017) - [j54]Eva H. Y. Beh, Feifei Zheng, Graeme C. Dandy, Holger R. Maier, Zoran Kapelan:
Robust optimization of water infrastructure planning under deep uncertainty using metamodels. Environ. Model. Softw. 93: 92-105 (2017) - [j53]Peter Golding, Sam Kapadia, Stella Naylor, Jonathan Schulz, Holger R. Maier, Upmanu Lall, Marijn Van der Velde:
Framework for minimising the impact of regional shocks on global food security using multi-objective ant colony optimisation. Environ. Model. Softw. 95: 303-319 (2017) - [j52]Jeffrey P. Newman, Holger R. Maier, Graeme A. Riddell, Aaron C. Zecchin, James E. Daniell, Andreas Maximilian Schaefer, Hedwig van Delden, Bijan Khazai, Michael John O'Flaherty, Charles Peter Newland:
Review of literature on decision support systems for natural hazard risk reduction: Current status and future research directions. Environ. Model. Softw. 96: 378-409 (2017) - [j51]Michael Di Matteo, Graeme C. Dandy, Holger R. Maier:
A multi-stakeholder portfolio optimization framework applied to stormwater best management practice (BMP) selection. Environ. Model. Softw. 97: 16-31 (2017) - [j50]Duc Cong Hiep Nguyen, James C. Ascough II, Holger R. Maier, Graeme C. Dandy, Allan A. Andales:
Optimization of irrigation scheduling using ant colony algorithms and an advanced cropping system model. Environ. Model. Softw. 97: 32-45 (2017) - [j49]Tim R. Green, Olaf David, Holger R. Maier:
A tribute in memory of Dr. James (Jim) C. Ascough II. Environ. Model. Softw. 97: 211-212 (2017) - [j48]Feifei Zheng, Aaron C. Zecchin, Jeffery P. Newman, Holger R. Maier, Graeme C. Dandy:
An Adaptive Convergence-Trajectory Controlled Ant Colony Optimization Algorithm With Application to Water Distribution System Design Problems. IEEE Trans. Evol. Comput. 21(5): 773-791 (2017) - 2016
- [j47]Arman Ganji, Holger R. Maier, Graeme C. Dandy:
A modified Sobol′ sensitivity analysis method for decision-making in environmental problems. Environ. Model. Softw. 75: 15-27 (2016) - [j46]Duc Cong Hiep Nguyen, Holger R. Maier, Graeme C. Dandy, James C. Ascough II:
Framework for computationally efficient optimal crop and water allocation using ant colony optimization. Environ. Model. Softw. 76: 37-53 (2016) - [j45]Danlu Guo, Seth Westra, Holger R. Maier:
An R package for modelling actual, potential and reference evapotranspiration. Environ. Model. Softw. 78: 216-224 (2016) - [j44]Wenyan Wu, Holger R. Maier, Graeme C. Dandy, Rosemary Leonard, Kathryn Bellette, Susan M. Cuddy, Shiroma Maheepala:
Including stakeholder input in formulating and solving real-world optimisation problems: Generic framework and case study. Environ. Model. Softw. 79: 197-213 (2016) - [j43]Robert M. Argent, Richard S. Sojda, Carlo Giupponi, Brian S. McIntosh, Alexey A. Voinov, Holger R. Maier:
Best practices for conceptual modelling in environmental planning and management. Environ. Model. Softw. 80: 113-121 (2016) - [j42]Holger R. Maier, Joseph H. A. Guillaume, Hedwig van Delden, Graeme A. Riddell, Marjolijn Haasnoot, Jan H. Kwakkel:
An uncertain future, deep uncertainty, scenarios, robustness and adaptation: How do they fit together? Environ. Model. Softw. 81: 154-164 (2016) - 2015
- [j41]Xuyuan Li, Holger R. Maier, Aaron C. Zecchin:
Improved PMI-based input variable selection approach for artificial neural network and other data driven environmental and water resource models. Environ. Model. Softw. 65: 15-29 (2015) - [j40]Li Li, Martin F. Lambert, Holger R. Maier, Daniel Partington, Craig T. Simmons:
Assessment of the internal dynamics of the Australian Water Balance Model under different calibration regimes. Environ. Model. Softw. 66: 57-68 (2015) - [j39]Eva H. Y. Beh, Holger R. Maier, Graeme C. Dandy:
Scenario driven optimal sequencing under deep uncertainty. Environ. Model. Softw. 68: 181-195 (2015) - [j38]Holger R. Maier, Zoran Kapelan, Joseph R. Kasprzyk, L. Shawn Matott:
Thematic issue on Evolutionary Algorithms in Water Resources. Environ. Model. Softw. 69: 222-225 (2015) - [j37]Matthew S. Gibbs, Holger R. Maier, Graeme C. Dandy:
Using characteristics of the optimisation problem to determine the Genetic Algorithm population size when the number of evaluations is limited. Environ. Model. Softw. 69: 226-239 (2015) - [j36]Weiwei Bi, Graeme C. Dandy, Holger R. Maier:
Improved genetic algorithm optimization of water distribution system design by incorporating domain knowledge. Environ. Model. Softw. 69: 370-381 (2015) - [j35]Darren R. Broad, Graeme C. Dandy, Holger R. Maier:
A systematic approach to determining metamodel scope for risk-based optimization and its application to water distribution system design. Environ. Model. Softw. 69: 382-395 (2015) - [j34]Christopher S. Stokes, Angus R. Simpson, Holger R. Maier:
A computational software tool for the minimization of costs and greenhouse gas emissions associated with water distribution systems. Environ. Model. Softw. 69: 452-467 (2015) - [j33]Xuyuan Li, Aaron C. Zecchin, Holger R. Maier:
Improving partial mutual information-based input variable selection by consideration of boundary issues associated with bandwidth estimation. Environ. Model. Softw. 71: 78-96 (2015) - [j32]Stefan Reis, Edmund Y. W. Seto, Amanda Northcross, Nigel W. T. Quinn, Matteo Convertino, Rod L. Jones, Holger R. Maier, Uwe Schlink, Susanne Steinle, Massimo Vieno, Michael C. Wimberly:
Integrating modelling and smart sensors for environmental and human health. Environ. Model. Softw. 74: 238-246 (2015) - 2014
- [j31]Eva H. Y. Beh, Graeme C. Dandy, Holger R. Maier, Fiona L. Paton:
Optimal sequencing of water supply options at the regional scale incorporating alternative water supply sources and multiple objectives. Environ. Model. Softw. 53: 137-153 (2014) - [j30]Li Li, Holger R. Maier, Daniel Partington, Martin F. Lambert, Craig T. Simmons:
Performance assessment and improvement of recursive digital baseflow filters for catchments with different physical characteristics and hydrological inputs. Environ. Model. Softw. 54: 39-52 (2014) - [j29]Wenyan Wu, Graeme C. Dandy, Holger R. Maier:
Protocol for developing ANN models and its application to the assessment of the quality of the ANN model development process in drinking water quality modelling. Environ. Model. Softw. 54: 108-127 (2014) - [j28]Xuyuan Li, Aaron C. Zecchin, Holger R. Maier:
Selection of smoothing parameter estimators for general regression neural networks - Applications to hydrological and water resources modelling. Environ. Model. Softw. 59: 162-186 (2014) - [j27]Fiona L. Paton, Graeme C. Dandy, Holger R. Maier:
Integrated framework for assessing urban water supply security of systems with non-traditional sources under climate change. Environ. Model. Softw. 60: 302-319 (2014) - [j26]Stefano Galelli, Greer B. Humphrey, Holger R. Maier, Andrea Castelletti, Graeme C. Dandy, Matthew S. Gibbs:
An evaluation framework for input variable selection algorithms for environmental data-driven models. Environ. Model. Softw. 62: 33-51 (2014) - [j25]Holger R. Maier, Zoran Kapelan, Joseph R. Kasprzyk, Joshua B. Kollat, L. Shawn Matott, Maria C. Cunha, Graeme C. Dandy, Matthew S. Gibbs, Ed Keedwell, Angela Marchi, Avi Ostfeld, Dragan A. Savic, Dimitri P. Solomatine, Jasper A. Vrugt, Aaron C. Zecchin, Barbara S. Minsker, E. J. Barbour, George Kuczera, F. Pasha, Andrea Castelletti, Matteo Giuliani, Patrick M. Reed:
Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions. Environ. Model. Softw. 62: 271-299 (2014) - 2013
- [j24]Li Li, Holger R. Maier, Martin F. Lambert, Craig T. Simmons, Daniel Partington:
Framework for assessing and improving the performance of recursive digital filters for baseflow estimation with application to the Lyne and Hollick filter. Environ. Model. Softw. 41: 163-175 (2013) - [j23]Holger R. Maier:
What constitutes a good literature review and why does its quality matter? Environ. Model. Softw. 43: 3-4 (2013) - [j22]Rebecca A. Kelly, Anthony J. Jakeman, Olivier Barreteau, Mark E. Borsuk, Sondoss El Sawah, Serena H. Hamilton, Hans Jørgen Henriksen, Sakari Kuikka, Holger R. Maier, Andrea Emilio Rizzoli, Hedwig van Delden, Alexey A. Voinov:
Selecting among five common modelling approaches for integrated environmental assessment and management. Environ. Model. Softw. 47: 159-181 (2013) - 2012
- [j21]Matthew S. Gibbs, Holger R. Maier, Graeme C. Dandy:
A generic framework for regression regionalization in ungauged catchments. Environ. Model. Softw. 27: 1-14 (2012) - 2011
- [j20]Daniel Partington, Philip Brunner, Craig T. Simmons, René Therrien, A. D. Werner, Graeme C. Dandy, Holger R. Maier:
A hydraulic mixing-cell method to quantify the groundwater component of streamflow within spatially distributed fully integrated surface water-groundwater flow models. Environ. Model. Softw. 26(7): 886-898 (2011) - 2010
- [j19]Jakin K. Ravalico, Graeme C. Dandy, Holger R. Maier:
Management Option Rank Equivalence (MORE) - A new method of sensitivity analysis for decision-making. Environ. Model. Softw. 25(2): 171-181 (2010) - [j18]Holger R. Maier, Ashu Jain, Graeme C. Dandy, K. P. Sudheer:
Methods used for the development of neural networks for the prediction of water resource variables in river systems: Current status and future directions. Environ. Model. Softw. 25(8): 891-909 (2010) - [j17]Robert J. May, Holger R. Maier, Graeme C. Dandy:
Data splitting for artificial neural networks using SOM-based stratified sampling. Neural Networks 23(2): 283-294 (2010)
2000 – 2009
- 2009
- [j16]Mohamed A. Shahin, Mark B. Jaksa, Holger R. Maier:
Recent Advances and Future Challenges for Artificial Neural Systems in Geotechnical Engineering Applications. Adv. Artif. Neural Syst. 2009: 308239:1-308239:9 (2009) - [j15]Jakin K. Ravalico, Holger R. Maier, Graeme C. Dandy:
Sensitivity analysis for decision-making using the MORE method - A Pareto approach. Reliab. Eng. Syst. Saf. 94(7): 1229-1237 (2009) - 2008
- [j14]Wai-Kuan Foong, Angus R. Simpson, Holger R. Maier, Stephen Stolp:
Ant colony optimization for power plant maintenance scheduling optimization - a five-station hydropower system. Ann. Oper. Res. 159(1): 433-450 (2008) - [j13]Robert J. May, Graeme C. Dandy, Holger R. Maier, John B. Nixon:
Application of partial mutual information variable selection to ANN forecasting of water quality in water distribution systems. Environ. Model. Softw. 23(10-11): 1289-1299 (2008) - [j12]Robert J. May, Holger R. Maier, Graeme C. Dandy, T. M. K. Gayani Fernando:
Non-linear variable selection for artificial neural networks using partial mutual information. Environ. Model. Softw. 23(10-11): 1312-1326 (2008) - [j11]Matthew S. Gibbs, Graeme C. Dandy, Holger R. Maier:
A genetic algorithm calibration method based on convergence due to genetic drift. Inf. Sci. 178(14): 2857-2869 (2008) - 2006
- [j10]K. M. Hyde, Holger R. Maier:
Distance-based and stochastic uncertainty analysis for multi-criteria decision analysis in Excel using Visual Basic for Applications. Environ. Model. Softw. 21(12): 1695-1710 (2006) - [j9]Holger R. Maier:
Application of natural computing (computational intelligence) methods to water resources and environmental modelling. Math. Comput. Model. 44(5-6): 413-414 (2006) - [j8]Holger R. Maier, Aaron C. Zecchin, L. Radbone, P. Goonan:
Optimising the mutual information of ecological data clusters using evolutionary algorithms. Math. Comput. Model. 44(5-6): 439-450 (2006) - [j7]Aaron C. Zecchin, Angus R. Simpson, Holger R. Maier, Michael Leonard, Andrew J. Roberts, Matthew J. Berrisford:
Application of two ant colony optimisation algorithms to water distribution system optimisation. Math. Comput. Model. 44(5-6): 451-468 (2006) - [j6]Gavin J. Bowden, John B. Nixon, Graeme C. Dandy, Holger R. Maier, Mike Holmes:
Forecasting chlorine residuals in a water distribution system using a general regression neural network. Math. Comput. Model. 44(5-6): 469-484 (2006) - [j5]Matthew S. Gibbs, Nicolas Morgan, Holger R. Maier, Graeme C. Dandy, John B. Nixon, Mike Holmes:
Investigation into the relationship between chlorine decay and water distribution parameters using data driven methods. Math. Comput. Model. 44(5-6): 485-498 (2006) - [j4]Greer B. Kingston, Holger R. Maier, Martin F. Lambert:
A probabilistic method for assisting knowledge extraction from artificial neural networks used for hydrological prediction. Math. Comput. Model. 44(5-6): 499-512 (2006) - [c6]Matthew S. Gibbs, Holger R. Maier, Graeme C. Dandy, John B. Nixon:
Minimum Number of Generations Required for Convergence of Genetic Algorithms. IEEE Congress on Evolutionary Computation 2006: 565-572 - [c5]Darren R. Broad, Graeme C. Dandy, Holger R. Maier, John B. Nixon:
Improving Metamodel-based Optimization of Water Distribution Systems with Local Search. IEEE Congress on Evolutionary Computation 2006: 710-717 - [c4]Greer B. Kingston, Holger R. Maier, Martin F. Lambert:
Forecasting Cyanobacteria with Bayesian and Deterministic Artificial Neural Networks. IJCNN 2006: 4870-4877 - [c3]Robert J. May, Graeme C. Dandy, Holger R. Maier, T. M. K. Fernando:
Critical Values of a Kernel Density-based Mutual Information Estimator. IJCNN 2006: 4898-4903 - 2005
- [j3]Aaron C. Zecchin, Angus R. Simpson, Holger R. Maier, John B. Nixon:
Parametric study for an ant algorithm applied to water distribution system optimization. IEEE Trans. Evol. Comput. 9(2): 175-191 (2005) - [c2]Wai-Kuan Foong, Holger R. Maier, Angus R. Simpson:
Ant colony optimization for power plant maintenance scheduling optimization. GECCO 2005: 249-256 - [c1]Wai-Kuan Foong, Holger R. Maier, Angus R. Simpson:
Ant colony optimization for power plant maintenance scheduling optimization. GECCO Workshops 2005: 354-357 - 2004
- [j2]Holger R. Maier, Nicolas Morgan, Christopher W. K. Chow:
Use of artificial neural networks for predicting optimal alum doses and treated water quality parameters. Environ. Model. Softw. 19(5): 485-494 (2004) - 2000
- [j1]Holger R. Maier, Graeme C. Dandy:
Neural networks for the prediction and forecasting of water resource variables: a review of modelling issues and applications. Environ. Model. Softw. 15(1): 101-124 (2000)
Coauthor Index
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