Abstract Machine learning (ML), as the most promising paradigm to discover deep
knowledge from data, has been widely applied to practical applications, such as …

The induction of decision trees is a widely-used approach to build classification models that
guarantee high performance and expressiveness. Since a recursive-partitioning strategy …

The diagnosis of Parkinson's disease (PD) is important in neurological pathology for
appropriate medical therapy. Algorithms based on decision tree induction (DTI) have been …

Explainability is essential for users to effectively understand, trust, and manage powerful
artificial intelligence solutions. Decision trees are one of the pioneer explanaible artificial …

Speech Emotion Detection (SER) is a field of identifying human emotions from human
speech utterances. Human speech utterances are a combination of linguistic and non …

To meet the increasing network demands of enterprise environments and data centers,
traditional network architectures have been replaced by software-enabled hardware devices …

In previous work, algorithms have been decomposed into basic algorithmic components and
then recomposed into brand new algorithms using a genetic algorithm. The algorithm is …

Machine learning models are extensively applied for complex decision making, but due to
their black-box nature, they are difficult for the user to understand. This study explores …