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  1. No Access

    Chapter and Conference Paper

    Evaluation of the Effect of Voice Technology in a Game Teaching E-Book on English Learning

    The progress of modern technology has led to diversified teaching methods. Currently, many teaching tools are gradually being combined with technology to create interactive experiences that differ from those o...

    Meng-Dar Shieh, Chang-Chen Ho, Fang-Chen Hsu in HCI International 2022 - Late Breaking Pap… (2022)

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    Chapter and Conference Paper

    MT-TCCT: Multi-task Learning for Multimodal Emotion Recognition

    Multimodal emotion recognition is an emerging research field, which aims to capture affective information from multimodal data, such as natural language, facial expression, and voice intonation. However, most ...

    Yandan Wang, Zhongtang Chen, Shuang Chen in Artificial Neural Networks and Machine Lea… (2022)

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    Chapter and Conference Paper

    A Study of Relationship Between Dharma Drum Mountain Website Design and Zen

    Online marketing is not only a trend but a pioneering industry. Alongside the development of digital technology and all kinds of service websites, the internet has become a new media that is widely used in our...

    Tze-Fei Huang, Chun-Liang Chen in Cross-Cultural Design. Product and Service… (2022)

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    Chapter and Conference Paper

    3D Global Fourier Network for Alzheimer’s Disease Diagnosis Using Structural MRI

    Deep learning models, such as convolutional neural networks and self-attention mechanisms, have been shown to be effective in computer-aided diagnosis (CAD) of Alzheimer’s disease (AD) using structural magneti...

    Shengjie Zhang, **ang Chen, Bohan Ren in Medical Image Computing and Computer Assis… (2022)

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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...

    Yiqiao Li, Sunny Verma, Shuiqiao Yang in AI 2022: Advances in Artificial Intelligen… (2022)

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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...

    Jianlong Zhou, Zhidong Li, Chun **ao in AI 2022: Advances in Artificial Intelligen… (2022)

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    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...

    Seunghyeon Lee, Fang Chen in AI 2021: Advances in Artificial Intelligence (2022)

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    Chapter and Conference Paper

    Collaborative Verification of Uninterpreted Programs

    Given a set of uninterpreted programs to be verified, the trace abstraction-based verification method can be used to solve them once at a time. The verification of different programs is independent of each oth...

    Yide Du, Weijiang Hong, Zhenbang Chen in Theoretical Aspects of Software Engineering (2022)

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    Chapter and Conference Paper

    Measuring Inconsistency in Written Feedback: A Case Study in Politeness

    Feedback, indisputably, has been widely recognized as one of the most important forms of communication between teachers and students and a significant lever to enhance learning experience and success. However,...

    Wei Dai, Yi-Shan Tsai, Yizhou Fan, Dragan Gašević in Artificial Intelligence in Education (2022)

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    Chapter and Conference Paper

    A Preliminary Study on the Teaching Mode of Interactive VR Painting Ability Cultivation

    This paper introduces the advantages and characteristics of VR painting compared with traditional painting and analyzes its application prospects. Based on the experience in interactive VR painting teaching, w...

    Yan**ang Zhang, Yang Chen in Extended Reality (2022)

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    Chapter and Conference Paper

    Groupwise Query Performance Prediction with BERT

    While large-scale pre-trained language models like BERT have advanced the state-of-the-art in IR, its application in query performance prediction (QPP) is so far based on pointwise modeling of individual queri...

    **aoyang Chen, Ben He, Le Sun in Advances in Information Retrieval (2022)

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    Chapter and Conference Paper

    Triangle Coordinate Diagram Localization for Academic Literature Based on Line Segment Detection in Cloud Computing

    The localization of triangle coordinate diagram in academic literature is an important step in the process of data mining. However, the detection of triangle coordinate diagram in academic literature mainly de...

    Baixuan Tang, Jielin Jiang, **aolong Xu, Lianyong Qi, **aokang Zhou in Cloud Computing (2022)

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    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...

    Benjamin Curran, Seyed Mohammad Nekooei in AI 2021: Advances in Artificial Intelligen… (2022)

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    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...

    Khaled Saleh, Kun Yu, Fang Chen in AI 2021: Advances in Artificial Intelligence (2022)

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    Chapter and Conference Paper

    Generative Unknown-Aware Object Detection

    Building object detectors can identify unknown objects, which is critical yet underexplored. An additional discriminative inference pass is generally needed to generate final classification results for “unknow...

    Changhua Wang, Bao Li, Likang Chen, Qike Shao in Intelligent Robotics and Applications (2022)

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    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...

    Seunghyeon Lee, Dong Ngoduy, Fang Chen in AI 2021: Advances in Artificial Intelligence (2022)

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    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...

    Kirita-Rose Escott, Hui Ma, Gang Chen in AI 2021: Advances in Artificial Intelligence (2022)

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    Chapter and Conference Paper

    Popularity Prediction in MOOCs: A Case Study on Udemy

    Massive Open Online Courses (MOOCs) have dramatically changed how people access education. Though substantial research works have been carried out to improve students’ learning experiences, very little attenti...

    Lin Li, Zachari Swiecki, Dragan Gašević in Artificial Intelligence in Education (2022)

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    Chapter and Conference Paper

    Design and Modeling of a Novel Compliant Ankle Mechanism with Flexible Slider-Crank Limbs

    This paper presents the conceptual design and modeling of a novel compliant ankle mechanism, which has flexible slider-crank limbs. Two elastic beams are utilized as the springy elements to connect the sliders...

    Shujie Tang, Genliang Chen, Wei Yan, Hao Wang in Intelligent Robotics and Applications (2022)

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    Chapter and Conference Paper

    DEKS: A Secure Cloud-Based Searchable Service Can Make Attackers Pay

    Many practical secure systems have been designed to prevent real-world attacks via maximizing the attacking cost so as to reduce attack intentions. Inspired by this philosophy, we propose a new concept named d...

    Yubo Zheng, Peng Xu, Wei Wang, Tianyang Chen in Computer Security – ESORICS 2022 (2022)

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