Dimitri P. Solomatine

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 6

Top Topics

Predictive Control

Federated Databases

Top Venues

Environ. Model. Softw.

Comput. Geosci.

Publications

Ja-Ho Koo, Edo Abraham, Andreja Jonoski, Dimitri P. Solomatine
Balancing Operator's Risk Averseness in Model Predictive Control of a Reservoir System. CoRR (2024)
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 (2023)
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) (2023)
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) (2020)
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 (2020)
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 (2018)
Blagoj Delipetrev, Andreja Jonoski, Dimitri P. Solomatine
Development of a web application for water resources based on open source software. Comput. Geosci. 62 (2014)
Dimitri P. Solomatine, Vadim Kuzmin, Durga L. Shrestha
Learning Errors of Environmental Mathematical Models. EANN (1) (2013)
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 (2012)
Michael Baskara L. A. Siek, Dimitri P. Solomatine
Nonlinear multi-model ensemble prediction using dynamic Neural Network with incremental learning. IJCNN (2011)
Francesca Pianosi, Durga L. Shrestha, Dimitri P. Solomatine
ANN-based representation of parametric and residual uncertainty of models. IJCNN (2010)
Michael Baskara L. A. Siek, Dimitri P. Solomatine
Multi-model ensemble forecasting in high dimensional chaotic system. IJCNN (2010)
Durga L. Shrestha, Nagendra Kayastha, Dimitri P. Solomatine
ANNs and Other Machine Learning Techniques in Modelling Models' Uncertainty. ICANN (2) (2009)
Michael Baskara L. A. Siek, Dimitri P. Solomatine
Chaotic model with data assimilation using NARX network. IJCNN (2009)
Durga L. Shrestha, Dimitri P. Solomatine
Comparing machine learning methods in estimation of model uncertainty. IJCNN (2008)
Michael Baskara L. A. Siek, Dimitri P. Solomatine, Slavco Velickov
Multivariate chaotic models vs neural networks in predicting storm surge dynamics. IJCNN (2008)
Gerald Corzo, Dimitri P. Solomatine
Knowledge-based modularization and global optimization of artificial neural network models in hydrological forecasting. Neural Networks 20 (4) (2007)
Vladimir Cherkassky, William Hsieh, Vladimir M. Krasnopolsky, Dimitri P. Solomatine, Julio J. Valdés
Computational intelligence in earth and environmental sciences. Neural Networks 20 (4) (2007)
Dimitri P. Solomatine, Michael Baskara L. A. Siek
Modular learning models in forecasting natural phenomena. Neural Networks 19 (2) (2006)
Dimitri P. Solomatine, Gerald Corzo
Learning hydrologic flow separation algorithm and local ANN committee modeling. IJCNN (2006)
Durga L. Shrestha, Dimitri P. Solomatine
Experiments with AdaBoost.RT, an Improved Boosting Scheme for Regression. Neural Comput. 18 (7) (2006)
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) (2006)
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) (2006)
Biswanath Bhattacharya, Dimitri P. Solomatine
Machine learning in sedimentation modelling. Neural Networks 19 (2) (2006)
Durga L. Shrestha, Dimitri P. Solomatine
Machine learning approaches for estimation of prediction interval for the model output. Neural Networks 19 (2) (2006)
Dimitri P. Solomatine, Mahesh Maskey, Durga L. Shrestha
Eager and Lazy Learning Methods in the Context of Hydrologic Forecasting. IJCNN (2006)
Biswanath Bhattacharya, Dimitri P. Solomatine
Machine learning in soil classification. Neural Networks 19 (2) (2006)
Biswanath Bhattacharya, Dimitri P. Solomatine
Improving Empirical Models with Machine Learning. IJCNN (2006)
Biswanath Bhattacharya, Dimitri P. Solomatine
Neural networks and M5 model trees in modelling water level-discharge relationship. Neurocomputing 63 (2005)
Michael Baskara L. A. Siek, Dimitri P. Solomatine
Optimizing Mixtures of Local Experts in Tree-Like Regression Models. Artificial Intelligence and Applications (2005)
Dimitri P. Solomatine
Adaptive cluster covering and evolutionary approach: comparison, differences and similarities. Congress on Evolutionary Computation (2005)
Dimitri P. Solomatine
Mixtures of Simple Models vs ANNs in Hydrological Modeling. HIS (2003)
Biswanath Bhattacharya, Dimitri P. Solomatine
An Algorithm for Clustering and Classification of Series Data with Constraint of Contiguity. HIS (2003)
Biswanath Bhattacharya, Dimitri P. Solomatine
Neural Networks and M5 model trees in modeling water level-discharge relationship for an Indian river. ESANN (2003)