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Found 3 papers, 1 papers with code
eXplainable Artificial Intelligence on Medical Images: A Survey
A recent field in the machine learning area is explainable artificial intelligence, also known as XAI, which targets to explain the results of such black box models to permit the desired assessment.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
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An Investigation of Preprocessing Filters and Deep Learning Methods for Vessel Type Classification With Underwater Acoustic Data
However, high accuracies of 94. 95% were achieved using CQT as the preprocessing filter for a ResNet-based convolutional neural network, providing a trade-off between model complexity and accuracy; a result that is more than 10% higher than previously reported approaches.
A survey of underwater acoustic data classification methods using deep learning for shoreline surveillance
This paper presents a comprehensive overview of current deep-learning methods for automatic object classification of underwater sonar data for shoreline surveillance, concentrating mostly on the classification of vessels from passive sonar data and the identification of objects of interest from active sonar (such as minelike objects, human figures or debris of wrecked ships).
