37 citations · 62 across the 6 of their papers we have counts for
6 papers · 1 filter
Enhancing Architecture Frameworks by Including Modern Stakeholders and their Views/Viewpoints
Armin Moin, Atta Badii, Stephan Günnemann +1
Various architecture frameworks for software, systems, and enterprises have been proposed in the literature. They identified several stakeholders and defined modeling perspectives,…
MDE for Machine Learning-Enabled Software Systems: A Case Study and Comparison of MontiAnna & ML-Quadrat
Jörg Christian Kirchhof, Evgeny Kusmenko, Jonas Ritz +5
In this paper, we propose to adopt the MDE paradigm for the development of Machine Learning (ML)-enabled software systems with a focus on the Internet of Things (IoT) domain. We il…
Automated Machine Learning: A Case Study on Non-Intrusive Appliance Load Monitoring
Armin Moin, Ukrit Wattanavaekin, Alexandra Lungu +2
We propose a novel approach to enable Automated Machine Learning (AutoML) for Non-Intrusive Appliance Load Monitoring (NIALM), also known as Energy Disaggregation, through Bayesian…
MDE4QAI: Towards Model-Driven Engineering for Quantum Artificial Intelligence
Armin Moin, Moharram Challenger, Atta Badii +1
Over the past decade, Artificial Intelligence (AI) has provided enormous new possibilities and opportunities, but also new demands and requirements for software systems. In particu…
Supporting AI Engineering on the IoT Edge through Model-Driven TinyML
Armin Moin, Moharram Challenger, Atta Badii +1
Software engineering of network-centric Artificial Intelligence (AI) and Internet of Things (IoT) enabled Cyber-Physical Systems (CPS) and services, involves complex design and val…
A Model-Driven Approach to Machine Learning and Software Modeling for the IoT
Armin Moin, Moharram Challenger, Atta Badii +1
Models are used in both Software Engineering (SE) and Artificial Intelligence (AI). SE models may specify the architecture at different levels of abstraction and for addressing dif…