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A Knowledge-enhanced Two-stage Generative Framework for Medical Dialogue Information Extraction 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 1, 页码: 153-168
作者:  Zefa Hu;  Ziyi Ni;  Jing Shi;  Shuang Xu;  Bo Xu
Adobe PDF(1525Kb)  |  收藏  |  浏览/下载：78/27  |  提交时间：2024/04/23
Medical dialogue understanding, information extraction, text generation, knowledge-enhanced prompt, low-resource setting, data augmentation  
Multimodal Fusion of Brain Imaging Data: Methods and Applications 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 1, 页码: 136-152
作者:  Na Luo;  Weiyang Shi;  Zhengyi Yang;  Ming Song;  Tianzi Jiang
Adobe PDF(1726Kb)  |  收藏  |  浏览/下载：96/27  |  提交时间：2024/04/23
Multimodal fusion, supervised learning, unsupervised learning, brain atlas, cognition, brain disorders  
Pre-training in Medical Data: A Survey 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 2, 页码: 147-149
作者:  Yixuan Qiu;  Feng Lin;  Weitong Chen;  Miao Xu
Adobe PDF(2262Kb)  |  收藏  |  浏览/下载：67/21  |  提交时间：2024/04/23
Medical data  pre-training  transfer learning  self-supervised learning  medical image data  electrocardiograms (ECG) data  
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 4, 页码: 859-876
作者:  Ahmad Chaddad;  Qizong Lu;  Jiali Li;  Yousef Katib;  Reem Kateb;  Camel Tanougast;  Ahmed Bouridane;  Ahmed Abdulkadir
Adobe PDF(6028Kb)  |  收藏  |  浏览/下载：635/413  |  提交时间：2023/03/22
Domain adaptation  explainable artificial intelligence  federated learning  
Toward Data-Driven Digital Therapeutics Analytics: Literature Review and Research Directions 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 1, 页码: 42-66
作者:  Uichin Lee;  Gyuwon Jung;  Eun-Yeol Ma;  Jin San Kim;  Heepyung Kim;  Jumabek Alikhanov;  Youngtae Noh;  Heeyoung Kim
Adobe PDF(2887Kb)  |  收藏  |  浏览/下载：554/359  |  提交时间：2023/01/03
Causal inference  data-driven analytics framework  digital therapeutics (DTx)  mobile and wearable data  technical and behavioral engagement  
Supervised and Semi-supervised Methods for Abdominalm Organ Segmentation: A Review 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 887-914
作者:  Isaac Baffour Senkyire;  Zhe Liu
Adobe PDF(1308Kb)  |  收藏  |  浏览/下载：262/55  |  提交时间：2021/11/26
Abdominal organ, supervised segmentation  semi-supervised segmentation  evaluation metrics  image segmentation  machine learning  
Fighting COVID-19 and Future Pandemics With the Internet of Things: Security and Privacy Perspectives 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 9, 页码: 1477-1499
作者:  Mohamed Amine Ferrag;  Lei Shu;  Kim-Kwang Raymond Choo
Adobe PDF(2997Kb)  |  收藏  |  浏览/下载：188/47  |  提交时间：2021/09/03
Blockchain  COVID-19  healthcare  privacy  SARS-CoV-2  security  
Computational Decision Support System for ADHD Identification 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 2, 页码: 233-255
作者:  Senuri De Silva;  Sanuwani Dayarathna;  Gangani Ariyarathne;  Dulani Meedeniya;  Sampath Jayarathna;  Anne M. P. Michalek
Adobe PDF(1937Kb)  |  收藏  |  浏览/下载：393/93  |  提交时间：2021/04/22
Attention deficit/hyperactivity disorder (ADHD)  functional magnetic resonance imaging (fMRI)  eye movement data  seed-based correlation  ensembled model  convolutional neural network (CNN)  default mode network (DMN)  saccades  fixations  ADHD-Care decision support system (DDS)  
Humans and Robots: A Mutually Inclusive Relationship in a Contagious World 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 2, 页码: 185-203
作者:  Akash Gupta;  Anshuman Singh;  Deepak Bharadwaj;  Amit Kumar Mondal
Adobe PDF(1295Kb)  |  收藏  |  浏览/下载：247/67  |  提交时间：2021/04/22
COVID-19  coronavirus  telepresence  delivery robots  medical robots  
An Overview of Recommendation Techniques and Their Applications in Healthcare 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 4, 页码: 701-717
作者:  Wenbin Yue;  Zidong Wang;  Jieyu Zhang;  Xiaohui Liu
Adobe PDF(1958Kb)  |  收藏  |  浏览/下载：252/60  |  提交时间：2021/04/09
Collaborative filtering (CF)  content-based recommendation  healthcare  recommendation system (RS)