Crossing the 'Cookie Theft' Corpus Chasm: Applying what BERT Learns from Outside Data to the ADReSS Challenge Dementia Detection Task [0.03%]
迈向“饼干偷窃”语料鸿沟：在ADReSS痴呆检测任务中利用BERT学习到的外部数据知识
Yue Guo,Changye Li,Carol Roan et al.
Yue Guo et al.
Large amounts of labeled data are a prerequisite to training accurate and reliable machine learning models. However, in the medical domain in particular, this is also a stumbling block as accurately labeled data are hard to obtain. Dementia...
Characterizing Dysarthria Diversity for Automatic Speech Recognition: A Tutorial from the Clinical Perspective [0.03%]
临床视角下的失语症多样性自动语音识别教程
Hannah P Rowe,Sarah E Gutz,Marc F Maffei et al.
Hannah P Rowe et al.
Despite significant advancements in automatic speech recognition (ASR) technology, even the best performing ASR systems are inadequate for speakers with impaired speech. This inadequacy may be, in part, due to the challenges associated with...
Stephen M Pizer,J S Marron,James N Damon et al.
Stephen M Pizer et al.
Objects and object complexes in 3D, as well as those in 2D, have many possible representations. Among them skeletal representations have special advantages and some limitations. For the special form of skeletal representation called "s-reps...
Editorial: Alzheimer's Dementia Recognition through Spontaneous Speech [0.03%]
编辑部：通过自发性言语识别阿尔茨海默病痴呆
Saturnino Luz,Fasih Haider,Sofia de la Fuente Garcia et al.
Saturnino Luz et al.
A workflow for rapid unbiased quantification of fibrillar feature alignment in biological images [0.03%]
用于快速无偏定量生物图像中纤维特征排列的工作流
Stefania Marcotti,Deandra Belo de Freitas,Lee D Troughton et al.
Stefania Marcotti et al.
Measuring the organisation of the cellular cytoskeleton and the surrounding extracellular matrix (ECM) is currently of wide interest as changes in both local and global alignment can highlight alterations in cellular functions and material ...
Exploring Deep Transfer Learning Techniques for Alzheimer's Dementia Detection [0.03%]
探索阿尔茨海默病痴呆检测的深度迁移学习技术
Youxiang Zhu,Xiaohui Liang,John A Batsis et al.
Youxiang Zhu et al.
Examination of speech datasets for detecting dementia, collected via various speech tasks, has revealed links between speech and cognitive abilities. However, the speech dataset available for this research is extremely limited because the c...
Integration of the ImageJ Ecosystem in the KNIME Analytics Platform [0.03%]
KNIME分析平台中ImageJ生态系统的一体化集成
Christian Dietz,Curtis T Rueden,Stefan Helfrich et al.
Christian Dietz et al.
Open-source software tools are often used for analysis of scientific image data due to their flexibility and transparency in dealing with rapidly evolving imaging technologies. The complex nature of image analysis problems frequently requir...
D-PAttNet: Dynamic Patch-Attentive Deep Network for Action Unit Detection [0.03%]
动态补丁注意力深度网络用于动作单元检测
Itir Onal Ertugrul,Le Yang,László A Jeni et al.
Itir Onal Ertugrul et al.
Facial action units (AUs) relate to specific local facial regions. Recent efforts in automated AU detection have focused on learning the facial patch representations to detect specific AUs. These efforts have encountered three hurdles. Firs...