most citedCOVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios

534 citations

5 papers

cs.AI20201 cited

Dealing with Incompatibilities among Procedural Goals under Uncertainty

Mariela Morveli-Espinoza, Juan Carlos Nieves, Ayslan Trevizan Possebom +1

By considering rational agents, we focus on the problem of selecting goals out of a set of incompatible ones. We consider three forms of incompatibility introduced by Castelfranchi…

cs.AI20208 cited

Argumentation-based Agents that Explain their Decisions

Mariela Morveli-Espinoza, Ayslan Possebom, Cesar Augusto Tacla

Explainable Artificial Intelligence (XAI) systems, including intelligent agents, must be able to explain their internal decisions, behaviours and reasoning that produce their choic…

cs.AI20201 cited

An Argumentation-based Approach for Identifying and Dealing with Incompatibilities among Procedural Goals

Mariela Morveli-Espinoza, Juan Carlos Nieves, Ayslan Possebom +2

During the first step of practical reasoning, i.e. deliberation, an intelligent agent generates a set of pursuable goals and then selects which of them he commits to achieve. An in…

cs.LG2020534 cited

COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios

Rodolfo M. Pereira, Diego Bertolini, Lucas O. Teixeira +2

The COVID-19 can cause severe pneumonia and is estimated to have a high impact on the healthcare system. The standard image diagnosis tests for pneumonia are chest X-ray (CXR) and…

eess.SP202067 cited

Direction-of-Arrival Estimation Methods: A Performance-Complexity Tradeoff Perspective

Edno Gentilho, Paulo Rogério Scalassara, Taufik Abrão

This work analyses the performance-complexity tradeoff for different direction of arrival (DoA) estimation techniques. Such tradeoff is investigated taking into account uniform lin…