PROB-POS: A FRAMEWORK FOR IMPROVING VISUAL EXPLANATIONS FROM CONVOLUTIONAL NEURAL NETWORKS FOR REMOTE SENSING IMAGE CLASSIFICATION

Prob-POS: A Framework for Improving Visual Explanations from Convolutional Neural Networks for Remote Sensing Image Classification

During the past decades, convolutional neural network (CNN)-based models have achieved notable success in remote sensing image classification due to their powerful feature representation ability.However, the lack of explainability during the decision-making process is a common criticism of these high-capacity networks.Local explanation methods that

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Evaluation and Ranking of Energy Alternatives for Implementation in Different Geographic Scenarios using Decision Methods: Case Study of Colombia

In this research, several crucial aspects have been explored in the evaluation and ranking of energy alternatives in Colombia using advanced decision methods such as TOPSIS and Toy Figures Diffuse TOPSIS.The study analyzed how these techniques allow to effectively compare different renewable energy sources in various regions of the country, highlig

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Inhibition of projections from the basolateral amygdala to the entorhinal cortex disrupts the acquisition of contextual fear

The development of excessive fear and/or stress responses to environmental cues such as contexts associated with a traumatic event is a hallmark of post-traumatic stress disorder (PTSD).The basolateral amygdala (BLA) has been implicated as a key structure mediating contextual fear conditioning.In addition, the hippocampus has an integral role in th

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