From machine learning to explainable AI

A Holzinger - 2018 world symposium on digital intelligence for …, 2018 - ieeexplore.ieee.org
The success of statistical machine learning (ML) methods made the field of Artificial
Intelligence (AI) so popular again, after the last AI winter. Meanwhile deep learning …

Factors influencing perceived fairness in algorithmic decision-making: Algorithm outcomes, development procedures, and individual differences

R Wang, FM Harper, H Zhu - Proceedings of the 2020 CHI conference …, 2020 - dl.acm.org
Algorithmic decision-making systems are increasingly used throughout the public and
private sectors to make important decisions or assist humans in making these decisions with …

The human dimensions of energy use in buildings: A review

S D'Oca, T Hong, J Langevin - Renewable and Sustainable Energy …, 2018 - Elsevier
The “human dimensions” of energy use in buildings refer to the energy-related behaviors of
key stakeholders that affect energy use over the building life cycle. Stakeholders include …

Mobile crowd sensing and computing: The review of an emerging human-powered sensing paradigm

B Guo, Z Wang, Z Yu, Y Wang, NY Yen… - ACM computing …, 2015 - dl.acm.org
With the surging of smartphone sensing, wireless networking, and mobile social networking
techniques, Mobile Crowd Sensing and Computing (MCSC) has become a promising …

Research directions for the internet of things

JA Stankovic - IEEE internet of things journal, 2014 - ieeexplore.ieee.org
Many technical communities are vigorously pursuing research topics that contribute to the
Internet of Things (IoT). Nowadays, as sensing, actuation, communication, and control …

Design and implementation of a digital twin application for a connected micro smart factory

KT Park, YW Nam, HS Lee, SJ Im, SD Noh… - … Journal of Computer …, 2019 - Taylor & Francis
Recently, manufacturing concepts, such as personalized production and distributed
manufacturing, have attracted attention owing to the ongoing revolution in industrial …

Human digital twin for fitness management

BR Barricelli, E Casiraghi, J Gliozzo, A Petrini… - Ieee …, 2020 - ieeexplore.ieee.org
Our research work describes a team of human Digital Twins (DTs), each tracking fitness-
related measurements describing an athlete's behavior in consecutive days (eg food …

Real-time monitoring and control of industrial cyberphysical systems: With integrated plant-wide monitoring and control framework

S Yin, JJ Rodriguez-Andina… - IEEE Industrial Electronics …, 2019 - ieeexplore.ieee.org
This article is focused on the realtime monitoring and control aspects of ICPSs. Advanced
approaches and potential challenges are illustrated in the following sections. Especially, an …

Systemic formalisation of Cyber-Physical-Social System (CPSS): A systematic literature review

BA Yilma, H Panetto, Y Naudet - Computers in Industry, 2021 - Elsevier
Abstract The notion of Cyber-Physical-Social System (CPSS) is an emerging concept
developed as a result of the need to understand the impact of Cyber-Physical Systems …

[HTML][HTML] Interactive machine learning: experimental evidence for the human in the algorithmic loop: A case study on Ant Colony Optimization

A Holzinger, M Plass, M Kickmeier-Rust, K Holzinger… - Applied …, 2019 - Springer
Recent advances in automatic machine learning (aML) allow solving problems without any
human intervention. However, sometimes a human-in-the-loop can be beneficial in solving …