Deep learning for computer vision based activity recognition and fall detection of the elderly: a systematic review

FX Gaya-Morey, C Manresa-Yee, JM Buades-Rubio - Applied Intelligence, 2024 - Springer
As the proportion of elderly individuals in developed countries continues to rise globally,
addressing their healthcare needs, particularly in preserving their autonomy, is of paramount …

Domain adaptation in predicting turbocharger failures using vehicle's sensor measurements

M Rahat, PS Mashhadi, S Nowaczyk… - Phm society …, 2022 - papers.phmsociety.org
The discrepancy in the distribution of source and target domains is usually referred to as a
domain shift. It is one of the reasons for the inferior performance of machine learning …

On the change of decision boundary and loss in learning with concept drift

F Hinder, V Vaquet, J Brinkrolf, B Hammer - International Symposium on …, 2023 - Springer
Abstract Concept drift, ie, the change of the data generating distribution, can render machine
learning models inaccurate. Many technologies for learning with drift rely on the interleaved …

Analysis of characteristic functions on Shapley values in Machine Learning

P Jamshidi, S Nowaczyk… - … Conference on Intelligent …, 2024 - ieeexplore.ieee.org
In the rapidly evolving field of AI, Explainable Artificial Intelligence (XAI) has become
paramount, particularly in Intelligent Environments applications. It offers clarity and …

Transfer Learning for Efficiency in Elderly Fall Detection with Limited Data Samples

M Fayad, MA Merzoug, A Mostefaoui… - … Conference on Smart …, 2024 - Springer
In light of significant demographic shifts worldwide, elderly fall detection is an ongoing, vital
area of research. Deep learning, known for its effectiveness in healthcare applications, is …

AID4HAI: Automatic Idea Detection for Healthcare-Associated Infections from Twitter, A Framework based on Active Learning and Transfer Learning

Z Kharazian, M Rahat, F Gama, PS Mashhadi… - … on Intelligent Data …, 2023 - Springer
This research is an interdisciplinary work between data scientists, innovation management
researchers and experts from Swedish academia and a hygiene and health company …