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| 1 | Thermal conffort criteria and building design: Field work in Portugal 显示文摘 | Manuel Correia Guedes Lul's Matias Carlos Pina Santos | 2009 | Renewable Energy2009，34，11： | 1 |
| 2 | A corporative memory based on the user profiles显示文摘 | Matias A Manuel R S Leonid S | 2004 | Expert Systems with Applications2004，26，1： | 1 |
| 3 | 显示文摘 | MATiAS M MANUEL M JOSE M E | 2007 | Anal Chim Acta2007，582，1： | 1 |
| 4 | A corporative memory based on the user profiles显示文摘 | Matias Alvarado Manuel Romero-Salcedo Leonid Sheremetov | 2004 | Expert Systems with Applications2004，，26： | 1 |
| 5 | Feature importance:Opening a soil-transmitted helminth machine learning model via SHAP显示文摘In the field of landscape epidemiology,the contribution of machine learning(ML)to modeling of epidemiological risk scenarios presents itself as a good alternative.This study aims to break with the”black box”paradigm that underlies the application of automatic learning techniques by using SHAP to determine the contribution of each variable in ML models applied to geospatial health,using the prevalence of hookworms,intestinal parasites,in Ethiopia,where they are widely distributed;the country bears the third-highest burden of hookworm in Sub-Saharan Africa.XGBoost software was used,a very popular ML model,to fit and analyze the data.The Python SHAP library was used to understand the importance in the trained model,of the variables for predictions.The description of the contribution of these variables on a particular prediction was obtained,using different types of plot methods.The results show that the ML models are superior to the classical statistical models;not only demonstrating similar results but also explaining,by using the SHAP package,the influence and interactions between the variables in the generated models.This analysis provides information to help understand the epidemiological problem presented and provides a tool for similar studies. | Carlos Matias Scavuzzo Juan Manuel Scavuzzo Micaela Natalia Campero Melaku Anegagrie Aranzazu Amor Aramendia Agustín Benito Victoria Periago | 2022 | Infectious Disease Modelling2022，7，1： | 1 |
| 6 | A corporative memory based on the user profiles显示文摘 | Matias Alvarado Manuel Romero Salcedo Leonid Sheremetov | 2004 | Expert Systems with Applications2004，，26： | 1 |
| 7 | 3D Resistivity Imaging of Buildings and Foundations in Urban and Protected Areas显示文摘The use of Geophysics in Civil Engineering is an established practice.Herein,it will be exploited the use of 3D resistivity imaging to investigate foundations and features under buildings in urban areas where no direct invasive methods are allowed.High-resolution 3D resistivity requires the deployment of a dense grid of electrodes and,in urban areas,these methods face problems such as space limitation and availability owing to buildings,pavements,asphalts,obstacles and infrastructure.Thus,the use of conventional electrode arrays and grids may not be possible and alternatives must be sought.Herein a non-conventional array,pole-pole,is explored to characterize foundations and features under existing constructions in delicate and protected environments.A simple but effective data check is also proposed and allows to estimate the resistivity distribution in the area.Results prove the adequacy and versatility of the pole-pole array to carry out 3D resistivity surveys in urban areas.Data quality checks also proved effective and provided early qualitative images of the resistivity distribution in the areas to be used as an aid in later interpretation and data modelling stages. | Manuel Matias Nuno Barraca Rui Moura | 2019 | Journal of Civil Engineering and Architecture2019，13，1： | 0 |
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