[HTML][HTML] Recent Applications of Explainable AI (XAI): A Systematic Literature Review
This systematic literature review employs the Preferred Reporting Items for Systematic
Reviews and Meta-Analyses (PRISMA) methodology to investigate recent applications of …
Reviews and Meta-Analyses (PRISMA) methodology to investigate recent applications of …
Brightbox—a rough set based technology for diagnosing mistakes of machine learning models
The paper presents a novel approach to investigating mistakes in machine learning model
operations. The considered approach is the basis for BrightBox–a diagnostic technology that …
operations. The considered approach is the basis for BrightBox–a diagnostic technology that …
[HTML][HTML] RuleXAI—A package for rule-based explanations of machine learning model
The ability to use eXplainable Artificial Intelligence (XAI) methods is very important for both
AI users and AI developers. This paper presents the RuleXAI library, which provides XAI …
AI users and AI developers. This paper presents the RuleXAI library, which provides XAI …
COVIDSensing: social sensing strategy for the management of the COVID-19 crisis
The management of the COVID-19 pandemic has been shown to be critical for reducing its
dramatic effects. Social sensing can analyse user-contributed data posted daily in social …
dramatic effects. Social sensing can analyse user-contributed data posted daily in social …
Detecting and Isolating Adversarial Attacks Using Characteristics of the Surrogate Model Framework
The paper introduces a novel framework for detecting adversarial attacks on machine
learning models that classify tabular data. Its purpose is to provide a robust method for the …
learning models that classify tabular data. Its purpose is to provide a robust method for the …
[PDF][PDF] Machine learning methods in support of multiomics signature identification for breast cancer patient subpopulations
J Polańska, C Hatzis - repolis.bg.polsl.pl
Breast cancer is a highly heterogeneous disease with a diverse molecular portrait. The
commonly used clinical classification of breast cancer subtypes relies on levels of several …
commonly used clinical classification of breast cancer subtypes relies on levels of several …
[PDF][PDF] 1 Motivation, aims, and thesis
J Tobiasz - delibra.bg.polsl.pl
2 Background Currently used, four clinical breast cancer subtypes are determined based on
the presence of three key markers: estrogen receptor (ER), progesterone receptor (PR), and …
the presence of three key markers: estrogen receptor (ER), progesterone receptor (PR), and …