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cs.LG2025
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…
cs.MA2025
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…