114 Result(s)
within
Chapter
Conference Paper
Yi**ang Chen
Image Processing and Computer Vision
Information Systems Applications (incl. Internet)
-
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...
-
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...
-
Chapter and Conference Paper
Identifying the Effective Restriction and Vaccination Policies During the COVID-19 Crisis in Sydney: A Machine Learning Approach
This study identified effective COVID-19 restriction policies and the best times to deploy them to minimise locally acquired COVID-19 cases in Sydney. We normalised stringency levels of individual COVID-19 pol...
-
Chapter and Conference Paper
Accurate New Zealand Wildlife Image Classification-Deep Learning Approach
Image classification is a major machine learning problem that has a wide range of applications in the real world. The Wellington Wildlife Camera Trap dataset contains images taken from vibration triggered came...
-
Chapter and Conference Paper
Video-Based Student Engagement Estimation via Time Convolution Neural Networks for Remote Learning
Given the recent outbreak of COVID-19 pandemic globally, most of the schools and universities have adapted many of the learning materials and lectures to be delivered online. As a result, the necessity to have...
-
Chapter and Conference Paper
Real-Time Prediction of the Lane-Based Delay for Group-Based Adaptive Traffic Operations Using Long Short-Term Memory
This study proposes a deterministic real-time lane-based control delay model for traffic operations based on Long Short-Term Memory (LSTM). Our proposed framework includes a model-based approach to compute the...
-
Chapter and Conference Paper
Transfer Learning Assisted GPHH for Dynamic Multi-Workflow Scheduling in Cloud Computing
Dynamic Multi-Workflow Scheduling (DWS) in cloud is a challenging optimisation due to the dynamic nature of the problem. It requires complex map** decisions to be made under unknown dynamic events. Genetic P...
-
Chapter and Conference Paper
Hard Negative Sample Mining for Contrastive Representation in Reinforcement Learning
In recent years, contrastive learning has become an important technology of self-supervised representation learning and achieved SOTA performances in many fields, which has also gained increasing attention in ...
-
Chapter and Conference Paper
Dynamic Bus Holding Control Using Spatial-Temporal Data – A Deep Reinforcement Learning Approach
This paper proposes a deep reinforcement learning (DRL) approach that dynamically determines the dispatching of bus services at the starting bus stop for a high-frequency bus service line. Most previous studie...
-
Chapter and Conference Paper
Hierarchical Contrastive Inconsistency Learning for Deepfake Video Detection
With the rapid development of Deepfake techniques, the capacity of generating hyper-realistic faces has aroused public concerns in recent years. The temporal inconsistency which derives from the contrast of fa...
-
Chapter and Conference Paper
English Cloze Test Based on BERT
Cloze test is a common test in language examinations. It is also a research direction of natural language processing, which is an important field of artificial intelligence. In general, some words in a complet...
-
Chapter and Conference Paper
A Load Forecasting Method of Power Grid Host Based on SARIMA-GRU Model
With the continuous development of intelligent power grid, how to boost the prediction ability of the future operating mode of information equipment and set the dynamic provision for prediction intervals to ad...
-
Chapter and Conference Paper
Data-Driven Prediction of Foodborne Disease Pathogens
In recent years, foodborne diseases have become one of the most Data analysis technology has been widely used in the field of public health, and greatly facilitates the preliminary judgment of medical staff. F...
-
Chapter and Conference Paper
Co-immersive-Creation: A Hybrid Approach for Using Virtual Reality and Telepresence Systems in Co-design Research
The Covid-19 pandemic is changing the way design researchers conduct research activities with safety regulations restricting much of in-person methods of research. Co-design (or participatory design) utilizes ...
-
Chapter and Conference Paper
Artificial Intelligence in Pilot Training and Education – Towards a Machine Learning Aided Instructor Assistant for Flight Simulators
The aviation industry was set to see unprecedented growth over the next two decades. Key occupations predicted to be in shortage included not only pilots, but also flight instructors. Undoubtedly, Covid-19 is ...
-
Chapter and Conference Paper
AABC:ALBERT-BiLSTM-CRF Combining with Adapters
Pre-training models (PTMs) are language models pre-trained on a large corpus, which can learn general language representations through training tasks within the model. PTMs complete various NLP tasks by connec...
-
Chapter and Conference Paper
DWAFE: Achieve Accurate AIOps Fault Early Warning
Traditional information equipment’s operating status perception and fault alarms mainly rely on manual and traditional automated operation and maintenance, which have disadvantages such as high cost, low effic...
-
Chapter and Conference Paper
A Survey of Deep Learning Based Fully Automatic Bone Age Assessment Algorithms
Bone age assessment (BAA) is a technique for assessing the maturity of individual skeletal development, and it is the most accurate and objective method for assessing the deviation of individual development in...
-
Chapter and Conference Paper
Visual Compiler: Towards Translating Digital UI Design Draft to Front-End Code Automatically
One assignment of a front-end engineer is to transform the User Interface (UI) design drafts to arrangements with program compatibilities. To furnish the customer requirement, engineers usually need to consid...
-
Chapter and Conference Paper
Real-Time Multiple Pedestrians Tracking in Multi-camera System
This paper proposes a novel 3D realtime multi-view multi-target tracking framework featured by a global-to-local tracking by detection model and a 3D tracklet-to-tracklet data association scheme. In order to e...
