Active machine learning adversarial attack detection in the user feedback process

VR Kebande, S Alawadi, FM Awaysheh… - IEEE Access, 2021 - ieeexplore.ieee.org
Modern Information and Communication Technology (ICT)-based applications utilize current
technological advancements for purposes of streaming data, as a way of adapting to the …

Online machine learning-based predictive maintenance for the railway industry

MH Le Nguyen - 2023 - theses.hal.science
Being an effective long-distance mass transit, the railway will continue to flourish for its
limited carbon footprint in the environment. Ensuring the equipment's reliability and …

The Concept of Interactive Dynamic Intelligent Virtual Sensors (IDIVS): Bridging the Gap between Sensors, Services, and Users through Machine Learning

JA Persson, J Bugeja, P Davidsson, J Holmberg… - Applied Sciences, 2023 - mdpi.com
This paper concerns the novel concept of an Interactive Dynamic Intelligent Virtual Sensor
(IDIVS), which extends virtual/soft sensors towards making use of user input through …

Interactive Online Machine Learning

A Tegen - 2022 - diva-portal.org
ABSTRACT With the Internet of Things paradigm, the data generated by the rapidly
increasing number of connected devices lead to new possibilities, such as using machine …

Human Factors in Interactive Online Machine Learning

A Tegen, P Davidsson… - HHAI 2023: Augmenting …, 2023 - ebooks.iospress.nl
Interactive machine learning (ML) adds a human-in-the-loop aspect to a ML system. Even
though the input from human users to the system is a central part of the concept, the …