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Dimitri 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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last updated on 2024-08-13 20:48 CEST by the dblp team
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