1 citations · 1 across the 5 of their papers we have counts for
5 papers
Filtering instances and rejecting predictions to obtain reliable models in healthcare
Maria Gabriela Valeriano, David Kohan Marzagão, Alfredo Montelongo +3
Machine Learning (ML) models are widely used in high-stakes domains such as healthcare, where the reliability of predictions is critical. However, these models often fail to accoun…
Voter Model Meets Rumour Spreading: an FPRAS for Consensus Probabilities on Voter Models with Agnostic Nodes
Marcelo Matheus Gauy, Anna Abramishvili, Eduardo Colli +5
Problems of consensus in multi-agent systems are often viewed as a series of independent, simultaneous local decisions made between a limited set of options, all aimed at reaching…
Distributed Averaging in Opinion Dynamics
Petra Berenbrink, Colin Cooper, Cristina Gava +4
We consider two simple asynchronous opinion dynamics on arbitrary graphs where every node has an initial value . In the first process, the NodeModel, at each time step…
The Influence of Memory in Multi-Agent Consensus
David Kohan Marzagão, Luciana Basualdo Bonatto, Tiago Madeira +2
Multi-agent consensus problems can often be seen as a sequence of autonomous and independent local choices between a finite set of decision options, with each local choice undertak…
Applying Abstract Argumentation Theory to Cooperative Game Theory
Anthony P. Young, David Kohan Marzagao, Josh Murphy
We apply ideas from abstract argumentation theory to study cooperative game theory. Building on Dung's results in his seminal paper, we further the correspondence between Dung's fo…