Yilin Pan
YOU?
Author Swipe
View article: Biologically Informative NA Deconvolution (BIND) excavates hidden features of the proteome from missing values in large-scale datasets
Biologically Informative NA Deconvolution (BIND) excavates hidden features of the proteome from missing values in large-scale datasets Open
The fast-advancing mass spectrometry and related technologies have greatly extended the depth of coverage in large-scale proteomics studies, including single-cell applications. As sample numbers grow rapidly, it is often challenging to int…
View article: Linguistic- and Acoustic-based Automatic Dementia Detection using Deep Learning Methods
Linguistic- and Acoustic-based Automatic Dementia Detection using Deep Learning Methods Open
Dementia can affect a person{\textquotesingle}s speech and language abilities, even in the early stages. Dementia is incurable, but early detection can enable treatment that can slow down and maintain mental function. Therefore, early diag…
View article: Design of Financial Management Model Using the Forward Neural Network Based on Particle Swarm Optimization Algorithm
Design of Financial Management Model Using the Forward Neural Network Based on Particle Swarm Optimization Algorithm Open
The financial crisis of listed companies will bring huge losses to investors, so it is very important to establish a financial early warning model for investors and other stakeholders. The forward neural network model of particle swarm opt…
View article: Using the Outputs of Different Automatic Speech Recognition Paradigms for Acoustic- and BERT-based Alzheimer's Dementia Detection through Spontaneous Speech
Using the Outputs of Different Automatic Speech Recognition Paradigms for Acoustic- and BERT-based Alzheimer's Dementia Detection through Spontaneous Speech Open
Exploring acoustic and linguistic information embedded in spontaneous speech recordings has proven to be efficient for automatic Alzheimer’s dementia detection. Acoustic features can be extracted directly from the audio recordings, howeve…
View article: Improving Detection of Alzheimer’s Disease Using Automatic Speech Recognition to Identify High-Quality Segments for More Robust Feature Extraction
Improving Detection of Alzheimer’s Disease Using Automatic Speech Recognition to Identify High-Quality Segments for More Robust Feature Extraction Open
Speech and language based automatic dementia detection is of interest due to it being non-invasive, low-cost and potentially able to aid diagnosis accuracy. The collected data are mostly audio recordings of spoken language and these can be…
View article: A Comparison of Acoustic and Linguistics Methodologies for Alzheimer’s Dementia Recognition
A Comparison of Acoustic and Linguistics Methodologies for Alzheimer’s Dementia Recognition Open
\n Contains fulltext :\n 228158.pdf (Publisher’s version ) (Open Access)\n
View article: Acoustic Feature Extraction with Interpretable Deep Neural Network for Neurodegenerative Related Disorder Classification
Acoustic Feature Extraction with Interpretable Deep Neural Network for Neurodegenerative Related Disorder Classification Open
Speech-based automatic approaches for detecting neurodegenerative disorders (ND) and mild cognitive impairment (MCI) have received more attention recently due to being non-invasive and potentially more sensitive than current pen-and-paper …
View article: Acoustic Feature Extraction with Interpretable Deep Neural Network for Neurodegenerative related Disorder Classification
Acoustic Feature Extraction with Interpretable Deep Neural Network for Neurodegenerative related Disorder Classification Open
Speech-based automatic approaches for detecting neurodegenerative disorders (ND) and mild cognitive impairment (MCI) have received more attention recently due to being non-invasive and potentially more sensitive than current pen-and-paper …
View article: Data augmentation using generative networks to identify dementia
Data augmentation using generative networks to identify dementia Open
Data limitation is one of the most common issues in training machine learning classifiers for medical applications. Due to ethical concerns and data privacy, the number of people that can be recruited to such experiments is generally small…
View article: Detecting Alzheimer's Disease by estimating attention and elicitation path through the alignment of spoken picture descriptions with the picture prompt
Detecting Alzheimer's Disease by estimating attention and elicitation path through the alignment of spoken picture descriptions with the picture prompt Open
Cognitive decline is a sign of Alzheimer's disease (AD), and there is evidence that tracking a person's eye movement, using eye tracking devices, can be used for the automatic identification of early signs of cognitive decline. However, su…
View article: Automatic Hierarchical Attention Neural Network for Detecting AD
Automatic Hierarchical Attention Neural Network for Detecting AD Open
Picture description tasks are used for the detection of cognitive decline associated with Alzheimer's disease (AD). Recent years have seen work on automatic AD detection in picture descriptions based on acoustic and word-based analysis of …