AdaBoost.RT: a boosting algorithm for regression problems. - Dimitri P. Solomatine; Durga Lal Shrestha (IJCNN, 2004)

Estimation of prediction intervals for the model outputs using machine learning. - Durga Lal Shrestha; Dimitri P. Solomatine (IJCNN, 2005)

Eager and Lazy Learning Methods in the Context of Hydrologic Forecasting. - Dimitri P. Solomatine; Mahesh Maskey; Durga Lal Shrestha (IJCNN, 2006)

Experiments with AdaBoost.RT, an Improved Boosting Scheme for Regression. - Durga Lal Shrestha; Dimitri P. Solomatine (Neural Comput., 2006)

Machine learning approaches for estimation of prediction interval for the model output. - Durga Lal Shrestha; Dimitri P. Solomatine (Neural Networks, 2006)

Comparing machine learning methods in estimation of model uncertainty. - Durga Lal Shrestha; Dimitri P. Solomatine (IJCNN, 2008)

ANNs and Other Machine Learning Techniques in Modelling Models' Uncertainty. - Durga Lal Shrestha; Nagendra Kayastha; Dimitri P. Solomatine (ICANN (2), 2009)

ANN-based representation of parametric and residual uncertainty of models. - Francesca Pianosi; Durga Lal Shrestha; Dimitri P. Solomatine (IJCNN, 2010)

Learning Errors of Environmental Mathematical Models. - Dimitri P. Solomatine; Vadim Kuzmin; Durga Lal Shrestha (EANN (1), 2013)