| 2013 | EANN | Learning Errors of Environmental Mathematical Models. | Dimitri P. Solomatine, Vadim Kuzmin, Durga Lal Shrestha |
| 2011 | IJCNN | Nonlinear multi-model ensemble prediction using dynamic Neural Network with incremental learning. | Michael Baskara L. A. Siek, Dimitri P. Solomatine |
| 2010 | IJCNN | ANN-based representation of parametric and residual uncertainty of models. | Francesca Pianosi, Durga Lal Shrestha, Dimitri P. Solomatine |
| 2010 | IJCNN | Multi-model ensemble forecasting in high dimensional chaotic system. | Michael Baskara L. A. Siek, Dimitri P. Solomatine |
| 2009 | ICANN | ANNs and Other Machine Learning Techniques in Modelling Models' Uncertainty. | Durga Lal Shrestha, Nagendra Kayastha, Dimitri P. Solomatine |
| 2009 | IJCNN | Chaotic model with data assimilation using NARX network. | Michael Baskara L. A. Siek, Dimitri P. Solomatine |
| 2008 | IJCNN | Comparing machine learning methods in estimation of model uncertainty. | Durga Lal Shrestha, Dimitri P. Solomatine |
| 2008 | IJCNN | Multivariate chaotic models vs neural networks in predicting storm surge dynamics. | Michael Baskara L. A. Siek, Dimitri P. Solomatine, Slavco Velickov |
| 2006 | IJCNN | Improving Empirical Models with Machine Learning. | Biswanath Bhattacharya, Dimitri P. Solomatine |
| 2006 | IJCNN | Learning hydrologic flow separation algorithm and local ANN committee modeling. | Dimitri P. Solomatine, Gerald Corzo |
| 2006 | IJCNN | Eager and Lazy Learning Methods in the Context of Hydrologic Forecasting. | Dimitri P. Solomatine, Mahesh Maskey, Durga Lal Shrestha |
| 2005 | CEC | Adaptive cluster covering and evolutionary approach: comparison, differences and similarities. | Dimitri P. Solomatine |
| 2005 | IJCNN | Modelling harbour sedimentation using ANN and M5 model trees. | Biswanath Bhattacharya, Dimitri P. Solomatine |
| 2005 | IJCNN | Machine learning in soil classification. | Biswanath Bhattacharya, Dimitri P. Solomatine |
| 2005 | IJCNN | Special session panel discussion: methodological issues in the application of learning methods to climate modeling and Earth sciences. | Vladimir Cherkassky, Vladimir M. Krasnopolsky, Dimitri P. Solomatine, Julio J. Valds |
| 2005 | IJCNN | Estimation of prediction intervals for the model outputs using machine learning. | Durga Lal Shrestha, Dimitri P. Solomatine |
| 2005 | IJCNN | Local and hybrid learning models in forecasting natural phenomena. | Dimitri P. Solomatine |
| 2004 | IJCNN | AdaBoost.RT: a boosting algorithm for regression problems. | Dimitri P. Solomatine, Durga Lal Shrestha |
| 2004 | IJCNN | Semi-optimal hierarchical regression models and ANNs. | Dimitri P. Solomatine, Michael Baskara L. A. Siek |
| 2003 | ESANN | Neural Networks and M5 model trees in modeling water level-discharge relationship for an Indian river. | Biswanath Bhattacharya, Dimitri P. Solomatine |
| 2003 | HIS | An Algorithm for Clustering and Classification of Series Data with Constraint of Contiguity. | Biswanath Bhattacharya, Dimitri P. Solomatine |
| 2003 | HIS | Mixtures of Simple Models vs ANNs in Hydrological Modeling. | Dimitri P. Solomatine |