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ORCID20th ADMA 2024, Sydney, NSW, Australia - Part IV
- Quan Z. Sheng
, Gill Dobbie, Jing Jiang, Xuyun Zhang, Wei Emma Zhang, Yannis Manolopoulos, Jia Wu, Wathiq Mansoor, Congbo Ma:
Advanced Data Mining and Applications - 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3-5, 2024, Proceedings, Part IV. Lecture Notes in Computer Science 15390, Springer 2025, ISBN 978-981-96-0839-3
Health Informatics
- Sadeq Darrab, Florian Kleinert, David Broneske, Gunter Saake:
Exploring the Advantages and Limitations of Association Rule Mining and Decision Trees for Pattern Mining in Heart Disease Data. 3-17 - Yiheng Zhang, Ke Yu, Xiaowei Huang, Yunni Xia, Weiling Li:
Detecting Fetal Growth Restriction in Early Pregnancy. 18-32 - Yuxi Liu, Zhenhao Zhang, Shaowen Qin, Jun Shen, Jiang Bian:
An Analyses of the Impact of Climatic and Environmental Conditions on COVID-19 Prevalence in Epidemic Areas in Australia, South Korea, and Italy. 33-47 - Yijing Gong, Min Wang, Yu Zhang, Wenjie Zhang, Shuchao Pang:
A Unified Deep Learning-Based EEG Biometric Authentication System for Cross-Session Scenarios. 48-62 - Yuxuan Sun, Xue Li:
Automatic Summarization of Life-Critical Situations by Generative AI. 63-77 - Yimin He, Shuchao Pang, Anan Du, Hechang Chen, Lele Cong, Mehmet A. Orgun:
ADDM: Adversarial Defenses with Diffusion Model for Medical Imaging Data Mining. 78-93 - Shuyang Li, Yu Yang, Yichen Lv, Jiangnan Xia, Xin Wang:
ResGAT: Embedding Adjacent Connectivity of Brain Regions from fMRI for Accurate Parkinson's Disease Recognition. 94-108 - Yanda Wang, Lin Yue, Ying Li:
Topological Knowledge Enhanced Personalized Ranking Model for Sequential Medication Recommendation. 109-124 - Lingling Yuan, Md Mamunur Rahaman, Hongzan Sun, Xiaoyan Li, Marcin Grzegorzek, Ning Xu, Chen Li:
MRes-CNN: A Multi-branch Residual CNN for Colorectal Histopathological Image Classification. 125-139 - Rui Li, Md Mamunur Rahaman, Xiaoyan Li, Hongzan Sun, Jinzhu Yang, Minghe Gao, Marcin Grzegorzek, Tao Jiang, Xinyu Huang, Chen Li:
An Extended Few-Shot Learning-Based Approach for Histopathological Image Classification of Pan-Cancer in the Digestive System. 140-154 - Shuai Ye, Tianming Du, Frank Kulwa, Xiangyu Meng, Md Mamunur Rahaman, Marcin Grzegorzek, Ning Xu, Tao Jiang, Hongzan Sun, Chen Li:
RPE-Diff: A Relative Position Encoding Diffusion Model for Perirenal Fat Segmentation in Metabolic Syndrome. 155-170 - Yihao Sun, Tianming Du, Hongzan Sun, Jian Xu, Md Mamunur Rahaman, Xinghao Wang, Xinyu Huang, Tao Jiang, Marcin Grzegorzek, Ning Xu, Chen Li:
RBMO-Att-Bi-LSTM: A Red-Billed Blue Magpie Optimiser-Self-attention Mechanism Based Optimisation of Bi-Directional Long- and Short-Term Memory Networks for Classification of COVID-19 CT Images. 171-185 - Yicheng Li, Yijia Zhang, Guantong Liu, Mingyu Lu:
A Differential Privacy Federated Learning Approach for Diabetic Retinopathy Detection. 186-199 - Zongli Jiang, Qingzhou Zhao, Jinli Zhang, Xiaolin Du, Tingting Zhu:
A Boundary Aware Dual-Branch Neural Network for Lung Nodule Segmentation. 200-214 - Xinbai Li, Man Wu:
GKF-mQA: Generative Knowledge Fusion Based on Large Language Models for Enhancing Medical Question Answering. 215-229 - Jiaji Guo, Wen Sun, Shiting Wen, Di Wu, Yipeng Zhou:
Facilitating Feature Selection and Extraction in Clinical Trials with Large Language Models. 230-240 - Yiming Zhao, Jie Chen, Nannan Wu, Wenjun Wang:
Empowering Comprehensive Biomedical Information Analysis with Large Language Models. 241-255 - Zongting Xie, Heng Liang, Ziyu Jia:
A Multimodal Knowledge Distillation Framework for Sleep Physiological Data. 256-265 - Mulugeta Shitie Zewudie, Shengwu Xiong, Xiaohan Yu, Xiaoyu Wu, Aminu Onimisi Abdulsalami, Mengjiao Wang:
PViT: Pooling Vision Transformer for Active Trachoma Image Classification. 266-280 - Zhengyang Li, Wenhao Liang, Chang Dong, Weitong Chen, Dong Huang:
Correlation Analysis of Adversarial Attack in Time Series Classification. 281-296 - Hengyi Ma, Weitong Chen:
Improving Time Series Classification with Representation Soft Label Smoothing. 297-310 - Yuheng Zhou, Guoju Gao, Yu-e Sun, He Huang, Yang Du, Yihuai Wang:
PiqSketch: An Efficient Sketching Algorithm for Per-Key Tail Quantile Estimation in Large-Scale Data Streams. 311-326 - Tianrun Gao, Decheng Zuo, Yanjun Shu, Zhan Zhang, Dongxin Wen, Yutong Qu:
ITRMD: A Dimensionality Reduction Framework for Accurate and Efficient Multivariate KPI Anomaly Detection. 327-341 - Chang Dong, Liangwei Zheng, Weitong Chen:
Kolmogorov-Arnold Networks (KAN) for Time Series Classification and Robust Analysis. 342-355 - Tao Yin, Zhibin Zhang, Shikang Hou, Huan Zhao, Lijiao Zheng, Yifei Zhou, Jin Xie, Meng Yan:
MSAnomaly: Time Series Anomaly Detection with Multi-scale Augmentation and Fusion. 356-371 - Song Sun, Yan Zhou, Suyan Yao, Jingbing Xu:
Enhancing Unsupervised Anomaly Detection in Multivariate Time Series with Variational Autoencoders and Multiresolution LSTM. 372-385 - Xiyang Peng, Ruoxin Ni, Yuncheng Jiang:
LTSMamba: A Long-Term Time Series Forecasting Model Based on Mamba-2. 386-400 - Chao Zhong, Chen Xiong, Zhaoyang Ma, Junxiu Ran, Shikuan Shao, Tongkun Xing, Jing Wang:
Adaptive Plug-and-Play Framework for Time Series Anomaly Detection with Temporal Drift. 401-416
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