Dimitri P. Solomatine

According to our database, Dimitri P. Solomatine authored at least 36 papers between 1999 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Remote Sensed and/or Global Datasets for Distributed Hydrological Modelling: A Review.

Muhammad Haris Ali, Ioana Popescu, Andreja Jonoski, Dimitri P. Solomatine

Remote. Sens., March, 2023

Near-real-time satellite precipitation data ingestion into peak runoff forecasting models.

Paul Muñoz, Gerald Corzo, Dimitri P. Solomatine, Jan Feyen, Rolando Célleri

Environ. Model. Softw., February, 2023

2020

ST-CORAbico: A Spatiotemporal Object-Based Bias Correction Method for Storm Prediction Detected by Satellite.

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

Remote. Sens., 2020

A comprehensive review on the design and optimization of surface water quality monitoring networks.

Jiping Jiang, Sijie Tang, Dawei Han, Guangtao Fu, Dimitri P. Solomatine, Yi Zheng

Environ. Model. Softw., 2020

2018

Data-driven techniques for modelling the gross primary production of the páramo vegetation using climate data: Application in the Ecuadorian Andean region.

Veronica Minaya, Gerald Corzo, Dimitri P. Solomatine, Arthur E. Mynett

Ecol. Informatics, 2018

2017

Data assimilation of satellite-based actual evapotranspiration in a distributed hydrological model of a controlled water system.

Isnaeni M. Hartanto, Johannes van der Kwast, Thomas K. Alexandridis, W. Almeida, Y. Song, S. J. van Andel, Dimitri P. Solomatine

Int. J. Appl. Earth Obs. Geoinformation, 2017

2014

Development of a web application for water resources based on open source software.

Blagoj Delipetrev, Andreja Jonoski, Dimitri P. Solomatine

Comput. Geosci., 2014

Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions.

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

Environ. Model. Softw., 2014

2013

Learning Errors of Environmental Mathematical Models.

Dimitri P. Solomatine, Vadim Kuzmin, Durga L. Shrestha

Proceedings of the Engineering Applications of Neural Networks, 2013

2012

River cross-section extraction from the ASTER global DEM for flood modeling.

Tseganeh Z. Gichamo, Ioana Popescu, Andreja Jonoski, Dimitri P. Solomatine

Environ. Model. Softw., 2012

2011

Nonlinear multi-model ensemble prediction using dynamic Neural Network with incremental learning.

Michael Baskara L. A. Siek, Dimitri P. Solomatine

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010

Multi-model ensemble forecasting in high dimensional chaotic system.

Michael Baskara L. A. Siek, Dimitri P. Solomatine

Proceedings of the International Joint Conference on Neural Networks, 2010

ANN-based representation of parametric and residual uncertainty of models.

Francesca Pianosi, Durga L. Shrestha, Dimitri P. Solomatine

Proceedings of the International Joint Conference on Neural Networks, 2010

2009

Chaotic model with data assimilation using NARX network.

Michael Baskara L. A. Siek, Dimitri P. Solomatine

Proceedings of the International Joint Conference on Neural Networks, 2009

ANNs and Other Machine Learning Techniques in Modelling Models' Uncertainty.

Durga L. Shrestha, Nagendra Kayastha, Dimitri P. Solomatine

Proceedings of the Artificial Neural Networks, 2009

2008

Multivariate chaotic models vs neural networks in predicting storm surge dynamics.

Michael Baskara L. A. Siek, Dimitri P. Solomatine, Slavco Velickov

Proceedings of the International Joint Conference on Neural Networks, 2008

Comparing machine learning methods in estimation of model uncertainty.

Durga L. Shrestha, Dimitri P. Solomatine

Proceedings of the International Joint Conference on Neural Networks, 2008

2007

Knowledge-based modularization and global optimization of artificial neural network models in hydrological forecasting.

Gerald Corzo, Dimitri P. Solomatine

Neural Networks, 2007

Computational intelligence in earth and environmental sciences.

Vladimir Cherkassky, William Hsieh, Vladimir M. Krasnopolsky, Dimitri P. Solomatine, Julio J. Valdés

Neural Networks, 2007

2006

Modular learning models in forecasting natural phenomena.

Dimitri P. Solomatine, Michael Baskara L. A. Siek

Neural Networks, 2006

Machine learning approaches for estimation of prediction interval for the model output.

Durga L. Shrestha, Dimitri P. Solomatine

Neural Networks, 2006

Computational intelligence in earth sciences and environmental applications: Issues and challenges.

Vladimir Cherkassky, Vladimir M. Krasnopolsky, Dimitri P. Solomatine, Julio J. Valdés

Neural Networks, 2006

2006 Special issue: Earth Sciences and Environmental Applications of Computational IntelligenceIntroduction.

Vladimir Cherkassky, Vladimir M. Krasnopolsky, Dimitri P. Solomatine, Julio J. Valdés

Neural Networks, 2006

Machine learning in sedimentation modelling.

Biswanath Bhattacharya, Dimitri P. Solomatine

Neural Networks, 2006

Machine learning in soil classification.

Biswanath Bhattacharya, Dimitri P. Solomatine

Neural Networks, 2006

Experiments with AdaBoost.RT, an Improved Boosting Scheme for Regression.

Durga L. Shrestha, Dimitri P. Solomatine

Neural Comput., 2006

Eager and Lazy Learning Methods in the Context of Hydrologic Forecasting.

Dimitri P. Solomatine, Mahesh Maskey, Durga L. Shrestha

Proceedings of the International Joint Conference on Neural Networks, 2006

Learning hydrologic flow separation algorithm and local ANN committee modeling.

Dimitri P. Solomatine, Gerald Corzo

Proceedings of the International Joint Conference on Neural Networks, 2006

Improving Empirical Models with Machine Learning.

Biswanath Bhattacharya, Dimitri P. Solomatine

Proceedings of the International Joint Conference on Neural Networks, 2006

2005

Neural networks and M5 model trees in modelling water level-discharge relationship.

Biswanath Bhattacharya, Dimitri P. Solomatine

Neurocomputing, 2005

Adaptive cluster covering and evolutionary approach: comparison, differences and similarities.

Dimitri P. Solomatine

Proceedings of the IEEE Congress on Evolutionary Computation, 2005

Optimizing Mixtures of Local Experts in Tree-Like Regression Models.

Michael Baskara L. A. Siek, Dimitri P. Solomatine

Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2005

2003

Mixtures of Simple Models vs ANNs in Hydrological Modeling.

Dimitri P. Solomatine

Proceedings of the Design and Application of Hybrid Intelligent Systems, 2003

An Algorithm for Clustering and Classification of Series Data with Constraint of Contiguity.

Biswanath Bhattacharya, Dimitri P. Solomatine

Proceedings of the Design and Application of Hybrid Intelligent Systems, 2003

Neural Networks and M5 model trees in modeling water level-discharge relationship for an Indian river.

Biswanath Bhattacharya, Dimitri P. Solomatine

Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003

1999

Two Strategies of Adaptive Cluster Covering with Descent and Their Comparison to Other Algorithms.

Dimitri P. Solomatine

J. Glob. Optim., 1999