8 Result(s)
within
Chapter
**nlong Zhou
Artificial Intelligence
Information Systems Applications (incl. Internet)
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Chapter and Conference Paper
Are Graph Neural Network Explainers Robust to Graph Noises?
With the rapid deployment of graph neural networks (GNNs) based techniques in a wide range of applications such as link prediction, community detection, and node classification, the explainability of GNNs beco...
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Chapter and Conference Paper
Does a Compromise on Fairness Exist in Using AI Models?
Artificial Intelligence (AI) has been increasingly used to assist decision making in different domains. Multiple parties are usually affected by decisions in decision making, e.g. decision-maker and people aff...
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Chapter and Conference Paper
A Hip Active Lower Limb Support Exoskeleton for Load Bearing Sit-To-Stand Transfer
Sit-to-stand (STS) transfer is a basic and important motion function in daily living. Most currently-existing studies focus on movement assistance for patients who lost mobility or have impaired their muscle s...
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Chapter and Conference Paper
Multitask Learning for Sparse Failure Prediction
Sparsity is a problem which occurs inherently in many real-world datasets. Sparsity induces an imbalance in data, which has an adverse effect on machine learning and hence reducing the predictability. Previous...
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Chapter and Conference Paper
A Complex Attacks Recognition Method in Wireless Intrusion Detection System
During recent years, the challenge faced by wireless network security is getting severe with the rapid development of internet. However, due to the defects of wireless communication protocol and difference amo...
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Chapter and Conference Paper
Effects of Uncertainty and Cognitive Load on User Trust in Predictive Decision Making
Rapid increase of data in different fields has been resulting in wide applications of Machine Learning (ML) based intelligent systems in predictive decision making scenarios. Unfortunately, these systems appe...
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Chapter and Conference Paper
Dynamic Workload Adjustments in Human-Machine Systems Based on GSR Features
Workload is found to be a critical factor driving human behavior in human-machine interactions in modern complex high-risk domains. This paper presents a dynamic workload adjustment feedback loop with a dynami...
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Chapter and Conference Paper
An Effective Feature Selection Method for Text Categorization
Feature selection is an efficient strategy to reduce the dimensionality of data and removing the noise in text categorization. However, most feature selection methods aim to remove non-informative features bas...
