Publications by authors named "Abdelmoughni Toubal"

Article Synopsis
  • The study focuses on understanding molecular behavior by examining their structural features and properties, highlighting the limitations of current machine learning methods in accurately predicting these properties.
  • A new technique using deep learning and a convolutional neural network (CNN) is introduced, employing a molecular matrix representation called Mol2mat to predict the bioactivity of chemical compounds.
  • Experiments with two standard datasets show that a specific combination of three fingerprints used with the CNN achieved a high performance of 98% AUC, outperforming other mainstream machine learning algorithms.
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