An automatic methodology for the quality enhancement of requirements using genetic algorithms DA Dopazo, VM Pelayo, GG Fuster Information and Software Technology 140, 106696, 2021 | 16 | 2021 |
A Leakage Detection System with an Efficient Prioritization at a District Meter Area Level D Adanza Dopazo, R Everson, S Rogerson, R Farmani, S Dragan World Environmental and Water Resources Congress 2021, 1023-1032, 2021 | 1 | 2021 |
An automated machine learning approach for classifying infrastructure cost data DA Dopazo, L Mahdjoubi, B Gething, AM Mahamadu Computer‐Aided Civil and Infrastructure Engineering 39 (7), 1061-1076, 2024 | | 2024 |
An Automated Method for Extracting and Analyzing Railway Infrastructure Cost Data DA Dopazo, L Mahdjoubi, B Gething Buildings 13 (10), 2405, 2023 | | 2023 |
A Method to Enable Automatic Extraction of Cost and Quantity Data from Hierarchical Construction Information Documents to Enable Rapid Digital Comparison and Analysis DA Dopazo, L Mahdjoubi, B Gething Preprints, 2023 | | 2023 |
World Environmental and Water Resources Congress 2021 LA Baldwin, PEVG Gude | | 2021 |
STROJNO UČENJE NA VELIKIH PODATKIH Z UPORABO MONGODB, R IN HADOOP D Adanza Dopazo Univerza v Mariboru, Fakulteta za elektrotehniko, računalništvo in informatiko, 2016 | | 2016 |
A methodology based on machine learning and data science for assessing the movement quality. DA Dopazo, M Al-amri, K Button, S Gardner, J Kinsey-Jones | | |
A leakage detection system extracting the most meaningful features with decision trees. DA Dopazo | | |