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ORCIDDimitri P. Solomatine
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2020 – today
- 2024
[i1]Ja-Ho Koo, Edo Abraham, Andreja Jonoski, Dimitri P. Solomatine:
Balancing Operator's Risk Averseness in Model Predictive Control of a Reservoir System. CoRR abs/2407.04506 (2024)- 2023
- [j20]Paul Muñoz
, Gerald Corzo, Dimitri P. Solomatine, Jan Feyen, Rolando Célleri:
Near-real-time satellite precipitation data ingestion into peak runoff forecasting models. Environ. Model. Softw. 160: 105582 (2023) - [j19]Muhammad Haris Ali, Ioana Popescu, Andreja Jonoski, Dimitri P. Solomatine:
Remote Sensed and/or Global Datasets for Distributed Hydrological Modelling: A Review. Remote. Sens. 15(6): 1642 (2023) - 2020
- [j18]Jiping Jiang, Sijie Tang, Dawei Han, Guangtao Fu, Dimitri P. Solomatine, Yi Zheng:
A comprehensive review on the design and optimization of surface water quality monitoring networks. Environ. Model. Softw. 132: 104792 (2020) - [j17]Miguel Laverde-Barajas, G. A. Corzo Perez, Ate Poortinga, Farrukh Chishtie, Chinaporn Meechaiya, Susantha Jayasinghe, Peeranan Towashiraporn, Amanda M. Markert, David Saah, Lam Hung Son, Khem Sothea, Surajate Boonya-aroonnet, Winai Chaowiwat, Remko Uijlenhoet, Dimitri P. Solomatine:
ST-CORAbico: A Spatiotemporal Object-Based Bias Correction Method for Storm Prediction Detected by Satellite. Remote. Sens. 12(21): 3538 (2020)
2010 – 2019
- 2018
- [j16]Veronica Minaya, Gerald Corzo, Dimitri P. Solomatine, Arthur E. Mynett:
Data-driven techniques for modelling the gross primary production of the páramo vegetation using climate data: Application in the Ecuadorian Andean region. Ecol. Informatics 43: 222-230 (2018) - 2017
- [j15]Isnaeni M. Hartanto, Johannes van der Kwast, Thomas K. Alexandridis, W. Almeida, Y. Song, S. J. van Andel, Dimitri P. Solomatine:
Data assimilation of satellite-based actual evapotranspiration in a distributed hydrological model of a controlled water system. Int. J. Appl. Earth Obs. Geoinformation 57: 123-135 (2017) - 2014
- [j14]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) - [j13]Blagoj Delipetrev, Andreja Jonoski, Dimitri P. Solomatine:
Development of a web application for water resources based on open source software. Comput. Geosci. 62: 35-42 (2014) - 2013
- [c16]Dimitri P. Solomatine, Vadim Kuzmin, Durga L. Shrestha:
Learning Errors of Environmental Mathematical Models. EANN (1) 2013: 466-473 - 2012
- [j12]Tseganeh Z. Gichamo, Ioana Popescu, Andreja Jonoski, Dimitri P. Solomatine:
River cross-section extraction from the ASTER global DEM for flood modeling. Environ. Model. Softw. 31: 37-46 (2012) - 2011
- [c15]Michael Baskara L. A. Siek, Dimitri P. Solomatine:
Nonlinear multi-model ensemble prediction using dynamic Neural Network with incremental learning. IJCNN 2011: 2873-2880 - 2010
- [c14]Francesca Pianosi, Durga L. Shrestha, Dimitri P. Solomatine:
ANN-based representation of parametric and residual uncertainty of models. IJCNN 2010: 1-6 - [c13]Michael Baskara L. A. Siek, Dimitri P. Solomatine:
Multi-model ensemble forecasting in high dimensional chaotic system. IJCNN 2010: 1-8
2000 – 2009
- 2009
- [c12]Durga L. Shrestha, Nagendra Kayastha, Dimitri P. Solomatine:
ANNs and Other Machine Learning Techniques in Modelling Models' Uncertainty. ICANN (2) 2009: 387-396 - [c11]Michael Baskara L. A. Siek, Dimitri P. Solomatine:
Chaotic model with data assimilation using NARX network. IJCNN 2009: 2928-2935 - 2008
- [c10]Durga L. Shrestha, Dimitri P. Solomatine:
Comparing machine learning methods in estimation of model uncertainty. IJCNN 2008: 1410-1416 - [c9]Michael Baskara L. A. Siek, Dimitri P. Solomatine, Slavco Velickov:
Multivariate chaotic models vs neural networks in predicting storm surge dynamics. IJCNN 2008: 2112-2119 - 2007
- [j11]Vladimir Cherkassky, William Hsieh, Vladimir M. Krasnopolsky, Dimitri P. Solomatine, Julio J. Valdés:
Computational intelligence in earth and environmental sciences. Neural Networks 20(4): 433 (2007) - [j10]Gerald Corzo, Dimitri P. Solomatine:
Knowledge-based modularization and global optimization of artificial neural network models in hydrological forecasting. Neural Networks 20(4): 528-536 (2007) - 2006
- [j9]Durga L. Shrestha, Dimitri P. Solomatine:
Experiments with AdaBoost.RT, an Improved Boosting Scheme for Regression. Neural Comput. 18(7): 1678-1710 (2006) - [j8]Vladimir Cherkassky, Vladimir M. Krasnopolsky, Dimitri P. Solomatine, Julio J. Valdés:
2006 Special issue: Earth Sciences and Environmental Applications of Computational IntelligenceIntroduction. Neural Networks 19(2): 111 (2006) - [j7]Vladimir Cherkassky, Vladimir M. Krasnopolsky, Dimitri P. Solomatine, Julio J. Valdés:
Computational intelligence in earth sciences and environmental applications: Issues and challenges. Neural Networks 19(2): 113-121 (2006) - [j6]Biswanath Bhattacharya, Dimitri P. Solomatine:
Machine learning in soil classification. Neural Networks 19(2): 186-195 (2006) - [j5]Biswanath Bhattacharya, Dimitri P. Solomatine:
Machine learning in sedimentation modelling. Neural Networks 19(2): 208-214 (2006) - [j4]Dimitri P. Solomatine, Michael Baskara L. A. Siek:
Modular learning models in forecasting natural phenomena. Neural Networks 19(2): 215-224 (2006) - [j3]Durga L. Shrestha, Dimitri P. Solomatine:
Machine learning approaches for estimation of prediction interval for the model output. Neural Networks 19(2): 225-235 (2006) - [c8]Dimitri P. Solomatine, Mahesh Maskey, Durga L. Shrestha:
Eager and Lazy Learning Methods in the Context of Hydrologic Forecasting. IJCNN 2006: 4847-4853 - [c7]Biswanath Bhattacharya, Dimitri P. Solomatine:
Improving Empirical Models with Machine Learning. IJCNN 2006: 4854-4861 - [c6]Dimitri P. Solomatine, Gerald Corzo:
Learning hydrologic flow separation algorithm and local ANN committee modeling. IJCNN 2006: 5104-5109 - 2005
- [j2]Biswanath Bhattacharya, Dimitri P. Solomatine:
Neural networks and M5 model trees in modelling water level-discharge relationship. Neurocomputing 63: 381-396 (2005) - [c5]Michael Baskara L. A. Siek, Dimitri P. Solomatine:
Optimizing Mixtures of Local Experts in Tree-Like Regression Models. Artificial Intelligence and Applications 2005: 497-502 - [c4]Dimitri P. Solomatine:
Adaptive cluster covering and evolutionary approach: comparison, differences and similarities. Congress on Evolutionary Computation 2005: 1959-1966 - 2003
- [c3]Biswanath Bhattacharya, Dimitri P. Solomatine:
Neural Networks and M5 model trees in modeling water level-discharge relationship for an Indian river. ESANN 2003: 407-412 - [c2]Dimitri P. Solomatine:
Mixtures of Simple Models vs ANNs in Hydrological Modeling. HIS 2003: 77-85 - [c1]Biswanath Bhattacharya, Dimitri P. Solomatine:
An Algorithm for Clustering and Classification of Series Data with Constraint of Contiguity. HIS 2003: 489-498
1990 – 1999
- 1999
- [j1]Dimitri P. Solomatine:
Two Strategies of Adaptive Cluster Covering with Descent and Their Comparison to Other Algorithms. J. Glob. Optim. 14(1): 55-78 (1999)
Coauthor Index
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