18 citations · 41 across the 8 of their papers we have counts for
9 papers
A novel Deep Learning approach for one-step Conformal Prediction approximation
Julia A. Meister, Khuong An Nguyen, Stelios Kapetanakis +1
Deep Learning predictions with measurable confidence are increasingly desirable for real-world problems, especially in high-risk settings. The Conformal Prediction (CP) framework i…
CPSC: Conformal prediction with shrunken centroids for efficient prediction reliability quantification and data augmentation, a case in alternative herbal medicine classification with electronic nose
Li Liu, Xianghao Zhan, Xikai Yang +6
In machine learning applications, the reliability of predictions is significant for assisted decision and risk control. As an effective framework to quantify the prediction reliabi…
Anomaly Detection in Video Sequences: A Benchmark and Computational Model
Boyang Wan, Wenhui Jiang, Yuming Fang +2
Anomaly detection has attracted considerable search attention. However, existing anomaly detection databases encounter two major problems. Firstly, they are limited in scale. Secon…
Audio feature ranking for sound-based COVID-19 patient detection
Julia A. Meister, Khuong An Nguyen, Zhiyuan Luo
Audio classification using breath and cough samples has recently emerged as a low-cost, non-invasive, and accessible COVID-19 screening method. However, a comprehensive survey show…
Boost AI Power: Data Augmentation Strategies with unlabelled Data and Conformal Prediction, a Case in Alternative Herbal Medicine Discrimination with Electronic Nose
Li Liu, Xianghao Zhan, Rumeng Wu +7
Electronic nose has been proven to be effective in alternative herbal medicine classification, but due to the nature of supervised learning, previous research heavily relies on the…
Epidemic contact tracing with smartphone sensors
Khuong An Nguyen, Zhiyuan Luo, Chris Watkins
Contact tracing is widely considered as an effective procedure in the fight against epidemic diseases. However, one of the challenges for technology based contact tracing is the hi…
A review of smartphones based indoor positioning: challenges and applications
Khuong An Nguyen, Zhiyuan Luo, Guang Li +1
The continual proliferation of mobile devices has encouraged much effort in using the smartphones for indoor positioning. This article is dedicated to review the most recent and in…
Recurrent Auto-Encoder Model for Large-Scale Industrial Sensor Signal Analysis
Timothy Wong, Zhiyuan Luo
Recurrent auto-encoder model summarises sequential data through an encoder structure into a fixed-length vector and then reconstructs the original sequence through the decoder stru…
Co-location Epidemic Tracking on London Public Transports Using Low Power Mobile Magnetometer
Khuong An Nguyen, Chris Watkins, Zhiyuan Luo
The public transports provide an ideal means to enable contagious diseases transmission. This paper introduces a novel idea to detect co-location of people in such environment usin…