EULAR – The European Alliance of Associations for Rheumatology – is actively integrating artificial intelligence (AI) into its guidelines and research, recognising the potential to enhance diagnosis, ...
Abstract: This research aims to study, design, and develop a brain tumor classification system using artificial intelligence, specifically decision tree algorithms. The system's primary objective is ...
FairDT (FDT): Modification of the impurity criterion calculation during decision tree training to also consider fairness. Its general expression is: $$(1-\lambda) * \text{gini/entropy} - \lambda * ...
The [!INCLUDE[msCoName](../includes/msconame-md.md)] Decision Trees algorithm is a classification and regression algorithm for use in predictive modeling of both ...
Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
Abstract: Decision tree algorithm (DT) is a commonly used data mining method for classification and regression. DT repeatedly divides a dataset into pure subsets based on impurity measurements such as ...
An internal Facebook report found that the social media platform’s algorithms – the rules its computers follow in deciding the content that you see – enabled disinformation campaigns based in Eastern ...
ABSTRACT: Automatic vegetation identification plays an important role in many applications including remote sensing and high performance flight simulations. This paper proposes a novel method that ...
ABSTRACT: Transcription Terminators (TTs) play an impor-tant role in bacterial RNA transcription. Some bacteria are known to have Species-Specific Subsequences (SSS) in their TTs, which are be-lieved ...
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