1 citations · 1 across the 5 of their papers we have counts for
5 papers
Learning Contextual Runtime Monitors for Safe AI-Based Autonomy
Alejandro Luque-Cerpa, Mengyuan Wang, Emil Carlsson +3
We introduce a novel framework for learning context-aware runtime monitors for AI-based control ensembles. Machine-learning (ML) controllers are increasingly deployed in (autonomou…
An Application of Membrane Computing to Humanitarian Relief via Generalized Nash Equilibrium
Alejandro Luque-Cerpa, David Orellana-Martín, Miguel A. Gutiérrez-Naranjo
Natural and political disasters, including earthquakes, hurricanes, and tsunamis, but also migration and refugees crisis, need quick and coordinated responses in order to support v…
Metric-Guided Synthesis of Class Activation Mapping
Alejandro Luque-Cerpa, Elizabeth Polgreen, Ajitha Rajan +1
Class activation mapping (CAM) is a widely adopted class of saliency methods used to explain the behavior of convolutional neural networks (CNNs). These methods generate heatmaps t…
A Membrane Computing Approach to the Generalized Nash Equilibrium
Alejandro Luque-Cerpa, Miguel A. Gutiérrez-Naranjo
In Evolutionary Game Theory (EGT), a population reaches a Nash equilibrium when none of the agents can improve its objective by solely changing its strategy on its own. Roughly spe…
Dynamic Price of Parking Service based on Deep Learning
Alejandro Luque-Cerpa, Miguel A. Gutiérrez-Naranjo, Miguel Cárdenas-Montes
The improvement of air-quality in urban areas is one of the main concerns of public government bodies. This concern emerges from the evidence between the air quality and the public…