Publications

Cost-sensitive ordinal classification methods to predict SARS-CoV-2 pneumonia severity
Objective: To study the suitability of cost-sensitive ordinal artificial intelligence-machine learning (AI-ML) strategies in the …
A novel statistical approach to deal with spatial bias in maturity ogive estimation
The proportion of mature fish at length is one of the most important population attributes when evaluating reproductive potential for …
Impact of outdoor air pollution on severity and mortality in COVID-19 pneumonia
This study examines the relationship between outdoor air pollution exposure and the severity and mortality of COVID-19 pneumonia. The …
Extracting relevant predictive variables for COVID-19 severity prognosis: An exhaustive comparison of feature selection techniques
With the COVID-19 pandemic having caused unprecedented numbers of infections and deaths, large research efforts have been undertaken …
Exploring green gentrification in 28 global North cities: the role of urban parks and other types of greenspaces
Although cities globally are increasingly mobilizing re-naturing projects to address diverse urban socio-environmental and health …
Green gentrification in European and North American cities
Although urban greening is universally recognized as an essential part of sustainable and climate-responsive cities, a growing …