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Ana Ramos Oliveira, Tiago Brito Ramos and Ramiro Neves
This study compares the performance of three different neural network models to estimate daily streamflow in a watershed under a natural flow regime. Based on existing and public tools, different types of NN models were developed, namely, multi-layer per...
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Ana Moreira, Tiago Encarnação, João Viseu and Manuel Au-Yong-Oliveira
Recent societal changes have brought new challenges to contemporary organisations, e.g., how to properly manage the work-family/family-work dyad and, thus, promote adequate task performance. This paper aimed to study the relationship between conflict (wo...
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Tiago P. Pagano, Rafael B. Loureiro, Fernanda V. N. Lisboa, Gustavo O. R. Cruz, Rodrigo M. Peixoto, Guilherme A. de Sousa Guimarães, Ewerton L. S. Oliveira, Ingrid Winkler and Erick G. Sperandio Nascimento
The majority of current approaches for bias and fairness identification or mitigation in machine learning models are applications for a particular issue that fails to account for the connection between the application context and its associated sensitive...
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Tiago J. Lopes, Tatiana Sampaio, João P. Oliveira, Mafalda P. Pinto, Daniel A. Marinho and Jorge E. Morais
Evidence on the role of propulsion compared to drag in swimming, based on experimental settings, is still lacking. However, higher levels of propulsion seem to lead to faster swimming velocities. The aim of this study was to understand the variation in a...
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Tiago P. Pagano, Rafael B. Loureiro, Fernanda V. N. Lisboa, Rodrigo M. Peixoto, Guilherme A. S. Guimarães, Gustavo O. R. Cruz, Maira M. Araujo, Lucas L. Santos, Marco A. S. Cruz, Ewerton L. S. Oliveira, Ingrid Winkler and Erick G. S. Nascimento
One of the difficulties of artificial intelligence is to ensure that model decisions are fair and free of bias. In research, datasets, metrics, techniques, and tools are applied to detect and mitigate algorithmic unfairness and bias. This study examines ...
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Tiago Boechel, Lucas Micol Policarpo, Gabriel de Oliveira Ramos, Rodrigo da Rosa Righi and Dhananjay Singh
In the field of agricultural research, Machine Learning (ML) has been used to increase agricultural productivity and minimize its environmental impact, proving to be an essential technique to support decision making. Accurate harvest time prediction is a...
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Mário Antunes, Luís Oliveira, Afonso Seguro, João Veríssimo, Ruben Salgado and Tiago Murteira
Network security encloses a wide set of technologies dealing with intrusions detection. Despite the massive adoption of signature-based network intrusion detection systems (IDSs), they fail in detecting zero-day attacks and previously unseen vulnerabilit...
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Leonardo Souza Bruno, Tiago Souza Mattos, Paulo Tarso Sanches Oliveira, André Almagro and Dulce Buchala Bicca Rodrigues
In flood area mapping studies, hydrological-hydraulic modeling has been successfully applied around the world. However, the object of study of most of the research developed in Brazil is medium to large channels that use topographical and hydrometeorolog...
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Ana R. Oliveira, Tiago B. Ramos, Lucian Simionesei, Lígia Pinto and Ramiro Neves
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Adaniel Sousa dos Santos,Leandro Pereira Pacheco,Wéverson Lima Fonseca,Alan Mario Zuffo,João Batista da Silva Oliveira,Júlio César Azevedo Nóbrega,Francisco de Alcântara Neto,Rafael Felippe Ratke,Tiago de Oliveira Sousa,Aline Sousa dos Santos
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As fontes de fertilizantes fosfatados apresentam diferenças no produto das reações químicas entre o fertilizante e o solo, sendo influenciadas pelas características químicas e texturais do solo. Nesse sentido, objetivou-se com este estudo avaliar caracte...
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