3 research outputs found
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis
With an increase in deep learning-based methods, the call for explainability
of such methods grows, especially in high-stakes decision making areas such as
medical image analysis. This survey presents an overview of eXplainable
Artificial Intelligence (XAI) used in deep learning-based medical image
analysis. A framework of XAI criteria is introduced to classify deep
learning-based medical image analysis methods. Papers on XAI techniques in
medical image analysis are then surveyed and categorized according to the
framework and according to anatomical location. The paper concludes with an
outlook of future opportunities for XAI in medical image analysis.Comment: Submitted for publication. Comments welcome by email to first autho
Advanced analytical methods for fraud detection: a systematic literature review
The developments of the digital era demand new ways of producing goods and rendering
services. This fast-paced evolution in the companies implies a new approach from the
auditors, who must keep up with the constant transformation. With the dynamic
dimensions of data, it is important to seize the opportunity to add value to the companies.
The need to apply more robust methods to detect fraud is evident.
In this thesis the use of advanced analytical methods for fraud detection will be
investigated, through the analysis of the existent literature on this topic.
Both a systematic review of the literature and a bibliometric approach will be applied to
the most appropriate database to measure the scientific production and current trends.
This study intends to contribute to the academic research that have been conducted, in
order to centralize the existing information on this topic