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- research-articleDecember 2023
Exploiting CNN’s visual explanations to drive anomaly detection
Applied Intelligence (KLU-APIN), Volume 54, Issue 1Pages 414–427https://doi.org/10.1007/s10489-023-05177-0AbstractNowadays, deep learning is a key technology for many applications in the industrial area such as anomaly detection. The role of Machine Learning (ML) in this field relies on the ability of training a network to learn to inspect images to determine ...
- research-articleFebruary 2022
Symbolic DNN-Tuner
AbstractHyper-Parameter Optimization (HPO) occupies a fundamental role in Deep Learning systems due to the number of hyper-parameters (HPs) to be set. The state-of-the-art of HPO methods are Grid Search, Random Search and Bayesian Optimization. The first ...