Artificial intelligence (AI) and machine learning (ML) are quickly becoming pervasive in ways
that impact the lives of all humans across the globe. In an effort to make otherwise” black …

The explanation dimension of Artificial Intelligence (AI) based system has been a hot topic
for the past years. Different communities have raised concerns about the increasing …

Time series data are ubiquitous across various domains, making time series analysis
critically important. Traditional time series models are task-specific, featuring singular …

As a wider range of organizations explore using data science systems, data science
research has given growing attention to the role of domain experts. Most of this research still …

Artificial Intelligence is becoming part of any technology we use nowadays. If the AI informs
people's decisions, the explanation about AI's outcomes, results, and behavior becomes a …

As researchers and technology companies rush to develop artificial intelligence (AI)
applications that aid the health of marginalized communities, it is critical to consider the …

Artificial Intelligence (AI) is increasingly integral for doing classification and prediction tasks
across various fields, including healthcare, legal systems, autonomous vehicles, and …

This paper introduces and propose a domain specific modeling language for representing
medical Prescription. the flow of the Prescription between different users and different parts …

Abstract Enterprise Resource Planning (ERP) software is used by businesses and extended
via customisation. Automated custom code analysis and migration is a critical issue at ERP …

This document brings together a range of disparate and relational paradigms, raising
awareness about how power asymmetries between individuals, communities and …