Dimitri P. Solomatine

2008
20	EE	Durga L. Shrestha, Dimitri P. Solomatine: Comparing machine learning methods in estimation of model uncertainty. IJCNN 2008: 1410-1416
19	EE	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
18	EE	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)
17	EE	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
16	EE	Dimitri P. Solomatine, Mahesh Maskey, Durga L. Shrestha: Eager and Lazy Learning Methods in the Context of Hydrologic Forecasting. IJCNN 2006: 4847-4853
15	EE	Biswanath Bhattacharya, Dimitri P. Solomatine: Improving Empirical Models with Machine Learning. IJCNN 2006: 4854-4861
14	EE	Dimitri P. Solomatine, Gerald Corzo: Learning hydrologic flow separation algorithm and local ANN committee modeling. IJCNN 2006: 5104-5109
13	EE	Durga L. Shrestha, Dimitri P. Solomatine: Experiments with AdaBoost.RT, an Improved Boosting Scheme for Regression. Neural Computation 18(7): 1678-1710 (2006)
12	EE	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)
11	EE	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)
10	EE	Biswanath Bhattacharya, Dimitri P. Solomatine: Machine learning in soil classification. Neural Networks 19(2): 186-195 (2006)
9	EE	Biswanath Bhattacharya, Dimitri P. Solomatine: Machine learning in sedimentation modelling. Neural Networks 19(2): 208-214 (2006)
8	EE	Dimitri P. Solomatine, Michael Baskara L. A. Siek: Modular learning models in forecasting natural phenomena. Neural Networks 19(2): 215-224 (2006)
7	EE	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)
2005
6		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
5	EE	Dimitri P. Solomatine: Adaptive cluster covering and evolutionary approach: comparison, differences and similarities. Congress on Evolutionary Computation 2005: 1959-1966
4	EE	Biswanath Bhattacharya, Dimitri P. Solomatine: Neural networks and M5 model trees in modelling water level-discharge relationship. Neurocomputing 63: 381-396 (2005)
2003
3	EE	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
2		Biswanath Bhattacharya, Dimitri P. Solomatine: An Algorithm for Clustering and Classification of Series Data with Constraint of Contiguity. HIS 2003: 489-498
1		Dimitri P. Solomatine: Mixtures of Simple Models vs ANNs in Hydrological Modeling. HIS 2003: 77-85

Coauthor Index

1	Biswanath Bhattacharya	[2] [3] [4] [9] [10] [15]
2	Vladimir Cherkassky	[11] [12] [18]
3	Gerald Corzo	[14] [17]
4	William Hsieh	[18]
5	Vladimir M. Krasnopolsky	[11] [12] [18]
6	Mahesh Maskey	[16]
7	Durga L. Shrestha	[7] [13] [16] [20]
8	Michael Baskara L. A. Siek	[6] [8] [19]
9	Julio J. Valdés	[11] [12] [18]
10	Slavco Velickov	[19]

Colors in the list of coauthors