Artificial intelligence (AI) has been referred to as the “fourth paradigm of science,” and as
part of a coherent toolbox of data‐driven approaches, machine learning (ML) dramatically …

Machine learning is an established and frequently used technique in industry and
academia, but a standard process model to improve success and efficiency of machine …

In this study, a multivocal literature review identified 15 software-engineering design
patterns for machine learning applications. Findings suggest that there are opportunities to …

This work presents a framework for interfacing a reinforcement learning algorithm with a
finite element model in order to develop an artificial neural network controller. The goal of …

In this paper we continue the minitrack series of papers recognizing issues and challenges
identified in the field of Big Data and Analytics, from the past and going forward. As this field …

The financial industry is a major player in the digital landscape and a key driver of digital
transformation in the economy. In recent times, the financial sector has come under scrutiny …

The future of the MDSD in this emerging scenario of software engineering is that models are
completely converted into Code ie program which are completely developed from high-level …

Community, from the global perspective, serves as an essential service for the welfare of
every person and nurtures their well-being in every nation. This research was categorically …

Machine learning (ML) researchers and practitioners study the best practices to develop and
support ML-based applications to ensure the quality and resolve constraints applied to their …