Modeling of space-time infectious disease spread under conditions of uncertainty. - José Miguel Angulo; Hwa-Lung Yu; Andreas Langousis; Ana Esther Madrid; George Christakos (Int. J. Geogr. Inf. Sci., 2012)

UPStream: Automated hydraulic design of pressurized water distribution networks. - Stergios Emmanouil; Andreas Langousis (SoftwareX, 2017)

Super learning for daily streamflow forecasting: Large-scale demonstration and comparison with multiple machine learning algorithms. - Hristos Tyralis; Georgia Papacharalampous; Andreas Langousis (CoRR, 2019)

Probabilistic water demand forecasting using quantile regression algorithms. - Georgia Papacharalampous; Andreas Langousis (CoRR, 2021)

Super ensemble learning for daily streamflow forecasting: large-scale demonstration and comparison with multiple machine learning algorithms. - Hristos Tyralis; Georgia Papacharalampous; Andreas Langousis (Neural Comput. Appl., 2021)

Explanation and Probabilistic Prediction of Hydrological Signatures with Statistical Boosting Algorithms. - Hristos Tyralis; Georgia Papacharalampous; Andreas Langousis; Simon Michael Papalexiou (Remote. Sens., 2021)

Inverse Transform Sampling for Bibliometric Literature Analysis. - Nikolaos P. Bakas; Dionisios Koutsantonis; Vagelis Plevris; Andreas Langousis; Savvas A. Chatzichristofis (IISA, 2022)

Automated Machine Learning in a Multi-agent Environment. - Nikolaos P. Bakas; Spyros Lavdas; Konstantinos Vavousis; Christos Christodoulou; Andreas Langousis (EMCIS (1), 2024)