Dimitri P. Solomatine

45 papers B 18C 2Journal 22Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	An explicit robust optimization framework for multipurpose cascade reservoir operation considering inflow uncertainty. Environ. Model. Softw. Shaokun He, Yibo Wang, Dimitri P. Solomatine, Xiao Li
2024	J	`jnl`	Balancing Operator's Risk Averseness in Model Predictive Control of a Reservoir System. CoRR Ja-Ho Koo, Edo Abraham, Andreja Jonoski, Dimitri P. Solomatine
2023	J	`jnl`	Near-real-time satellite precipitation data ingestion into peak runoff forecasting models. Environ. Model. Softw. Paul Muñoz, Gerald Corzo, Dimitri P. Solomatine, Jan Feyen, Rolando Célleri
2023	J	`jnl`	Remote Sensed and/or Global Datasets for Distributed Hydrological Modelling: A Review. Remote. Sens. Muhammad Haris Ali, Ioana Popescu, Andreja Jonoski, Dimitri P. Solomatine
2020	J	`jnl`	A comprehensive review on the design and optimization of surface water quality monitoring networks. Environ. Model. Softw. Jiping Jiang, Sijie Tang, Dawei Han, Guangtao Fu, Dimitri P. Solomatine, Yi Zheng
2020	J	`jnl`	ST-CORAbico: A Spatiotemporal Object-Based Bias Correction Method for Storm Prediction Detected by Satellite. Remote. Sens. 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
2018	J	`jnl`	Data-driven techniques for modelling the gross primary production of the páramo vegetation using climate data: Application in the Ecuadorian Andean region. Ecol. Informatics Veronica Minaya, Gerald Corzo, Dimitri P. Solomatine, Arthur E. Mynett
2017	J	`jnl`	Data assimilation of satellite-based actual evapotranspiration in a distributed hydrological model of a controlled water system. Int. J. Appl. Earth Obs. Geoinformation Isnaeni M. Hartanto, Johannes van der Kwast, Thomas K. Alexandridis, W. Almeida, Y. Song, Schalk Jan van Andel, Dimitri P. Solomatine
2014	J	`jnl`	Development of a web application for water resources based on open source software. Comput. Geosci. Blagoj Delipetrev, Andreja Jonoski, Dimitri P. Solomatine
2014	J	`jnl`	Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions. Environ. Model. Softw. 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
2013	—	`conf`	Learning Errors of Environmental Mathematical Models. EANN (1) Dimitri P. Solomatine, Vadim Kuzmin, Durga Lal Shrestha
2012	J	`jnl`	River cross-section extraction from the ASTER global DEM for flood modeling. Environ. Model. Softw. Tseganeh Z. Gichamo, Ioana Popescu, Andreja Jonoski, Dimitri P. Solomatine
2011	B	`conf`	Nonlinear multi-model ensemble prediction using dynamic Neural Network with incremental learning. IJCNN Michael Baskara L. A. Siek, Dimitri P. Solomatine
2010	B	`conf`	ANN-based representation of parametric and residual uncertainty of models. IJCNN Francesca Pianosi, Durga Lal Shrestha, Dimitri P. Solomatine
2010	B	`conf`	Multi-model ensemble forecasting in high dimensional chaotic system. IJCNN Michael Baskara L. A. Siek, Dimitri P. Solomatine
2009	—	`conf`	ANNs and Other Machine Learning Techniques in Modelling Models' Uncertainty. ICANN (2) Durga Lal Shrestha, Nagendra Kayastha, Dimitri P. Solomatine
2009	B	`conf`	Chaotic model with data assimilation using NARX network. IJCNN Michael Baskara L. A. Siek, Dimitri P. Solomatine
2008	B	`conf`	Comparing machine learning methods in estimation of model uncertainty. IJCNN Durga Lal Shrestha, Dimitri P. Solomatine
2008	B	`conf`	Multivariate chaotic models vs neural networks in predicting storm surge dynamics. IJCNN Michael Baskara L. A. Siek, Dimitri P. Solomatine, Slavco Velickov
2007	J	`jnl`	Computational intelligence in earth and environmental sciences. Neural Networks Vladimir Cherkassky, William Hsieh, Vladimir M. Krasnopolsky, Dimitri P. Solomatine, Julio J. Valdés
2007	J	`jnl`	Knowledge-based modularization and global optimization of artificial neural network models in hydrological forecasting. Neural Networks Gerald Corzo, Dimitri P. Solomatine
2006	J	`jnl`	2006 Special issue: Earth Sciences and Environmental Applications of Computational IntelligenceIntroduction. Neural Networks Vladimir Cherkassky, Vladimir M. Krasnopolsky, Dimitri P. Solomatine, Julio J. Valdés
2006	J	`jnl`	Computational intelligence in earth sciences and environmental applications: Issues and challenges. Neural Networks Vladimir Cherkassky, Vladimir M. Krasnopolsky, Dimitri P. Solomatine, Julio J. Valdés
2006	B	`conf`	Eager and Lazy Learning Methods in the Context of Hydrologic Forecasting. IJCNN Dimitri P. Solomatine, Mahesh Maskey, Durga Lal Shrestha
2006	J	`jnl`	Experiments with AdaBoost.RT, an Improved Boosting Scheme for Regression. Neural Comput. Durga Lal Shrestha, Dimitri P. Solomatine
2006	B	`conf`	Improving Empirical Models with Machine Learning. IJCNN Biswanath Bhattacharya, Dimitri P. Solomatine
2006	B	`conf`	Learning hydrologic flow separation algorithm and local ANN committee modeling. IJCNN Dimitri P. Solomatine, Gerald Corzo
2006	J	`jnl`	Machine learning approaches for estimation of prediction interval for the model output. Neural Networks Durga Lal Shrestha, Dimitri P. Solomatine
2006	J	`jnl`	Machine learning in sedimentation modelling. Neural Networks Biswanath Bhattacharya, Dimitri P. Solomatine
2006	J	`jnl`	Machine learning in soil classification. Neural Networks Biswanath Bhattacharya, Dimitri P. Solomatine
2006	J	`jnl`	Modular learning models in forecasting natural phenomena. Neural Networks Dimitri P. Solomatine, Michael Baskara L. A. Siek
2005	B	`conf`	Adaptive cluster covering and evolutionary approach: comparison, differences and similarities. Congress on Evolutionary Computation Dimitri P. Solomatine
2005	B	`conf`	Estimation of prediction intervals for the model outputs using machine learning. IJCNN Durga Lal Shrestha, Dimitri P. Solomatine
2005	B	`conf`	Local and hybrid learning models in forecasting natural phenomena. IJCNN Dimitri P. Solomatine
2005	B	`conf`	Machine learning in soil classification. IJCNN Biswanath Bhattacharya, Dimitri P. Solomatine
2005	B	`conf`	Modelling harbour sedimentation using ANN and M5 model trees. IJCNN Biswanath Bhattacharya, Dimitri P. Solomatine
2005	J	`jnl`	Neural networks and M5 model trees in modelling water level-discharge relationship. Neurocomputing Biswanath Bhattacharya, Dimitri P. Solomatine
2005	—	`conf`	Optimizing Mixtures of Local Experts in Tree-Like Regression Models. Artificial Intelligence and Applications Michael Baskara L. A. Siek, Dimitri P. Solomatine
2005	B	`conf`	Special session panel discussion: methodological issues in the application of learning methods to climate modeling and Earth sciences. IJCNN Vladimir Cherkassky, Vladimir M. Krasnopolsky, Dimitri P. Solomatine, Julio J. Valdés
2004	B	`conf`	AdaBoost.RT: a boosting algorithm for regression problems. IJCNN Dimitri P. Solomatine, Durga Lal Shrestha
2004	B	`conf`	Semi-optimal hierarchical regression models and ANNs. IJCNN Dimitri P. Solomatine, Michael Baskara L. A. Siek
2003	C	`conf`	An Algorithm for Clustering and Classification of Series Data with Constraint of Contiguity. HIS Biswanath Bhattacharya, Dimitri P. Solomatine
2003	C	`conf`	Mixtures of Simple Models vs ANNs in Hydrological Modeling. HIS Dimitri P. Solomatine
2003	B	`conf`	Neural Networks and M5 model trees in modeling water level-discharge relationship for an Indian river. ESANN Biswanath Bhattacharya, Dimitri P. Solomatine
1999	J	`jnl`	Two Strategies of Adaptive Cluster Covering with Descent and Their Comparison to Other Algorithms. J. Glob. Optim. Dimitri P. Solomatine