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01/23/2023
A Comprehensive Survey on Heart Sound Analysis in the Deep Learning Era
Heart sound auscultation has been demonstrated to be beneficial in clini...
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12/26/2022
Robust distance correlation for variable screening
High-dimensional data are commonly seen in modern statistical applicatio...
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10/26/2022
Knowledge Transfer For On-Device Speech Emotion Recognition with Neural Structured Learning
Speech emotion recognition (SER) has been a popular research topic in hu...
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10/26/2022
Fast Yet Effective Speech Emotion Recognition with Self-distillation
Speech emotion recognition (SER) is the task of recognising human's emot...
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06/26/2022
Towards KAB2S: Learning Key Knowledge from Single-Objective Problems to Multi-Objective Problem
As "a new frontier in evolutionary computation research", evolutionary t...
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03/30/2022
Example-based Explanations with Adversarial Attacks for Respiratory Sound Analysis
Respiratory sound classification is an important tool for remote screeni...
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03/09/2022
Robust Federated Learning Against Adversarial Attacks for Speech Emotion Recognition
Due to the development of machine learning and speech processing, speech...
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10/07/2021
Prototype Learning for Interpretable Respiratory Sound Analysis
Remote screening of respiratory diseases has been widely studied as a no...
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08/06/2021
The EIHW-GLAM Deep Attentive Multi-model Fusion System for Cough-based COVID-19 Recognition in the DiCOVA 2021 Challenge
Aiming to automatically detect COVID-19 from cough sounds, we propose a ...
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01/13/2021
Deep Attention-based Representation Learning for Heart Sound Classification
Cardiovascular diseases are the leading cause of deaths and severely thr...
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11/18/2020
CAA-Net: Conditional Atrous CNNs with Attention for Explainable Device-robust Acoustic Scene Classification
Acoustic Scene Classification (ASC) aims to classify the environment in ...
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07/21/2020
Outcome-Guided Disease Subtyping for High-Dimensional Omics Data
High-throughput microarray and sequencing technology have been used to i...
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06/26/2020
Covariance-engaged Classification of Sets via Linear Programming
Set classification aims to classify a set of observations as a whole, as...
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04/30/2020
An Early Study on Intelligent Analysis of Speech under COVID-19: Severity, Sleep Quality, Fatigue, and Anxiety
The COVID-19 outbreak was announced as a global pandemic by the World He...
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07/23/2019
EmoBed: Strengthening Monomodal Emotion Recognition via Training with Crossmodal Emotion Embeddings
Despite remarkable advances in emotion recognition, they are severely re...
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07/10/2019
AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition
The Audio/Visual Emotion Challenge and Workshop (AVEC 2019) "State-of-Mi...
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11/05/2018
User-Friendly Covariance Estimation for Heavy-Tailed Distributions: A Survey and Recent Results
We offer a survey of selected recent results on covariance estimation fo...
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11/05/2018
User-Friendly Covariance Estimation for Heavy-Tailed Distributions
We propose user-friendly covariance matrix estimators that are robust ag...
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12/27/2017
Minimax Estimation of Large Precision Matrices with Bandable Cholesky Factor
This paper considers the estimation of large precision matrices. We focu...
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10/11/2017
Variable screening with multiple studies
Advancement in technology has generated abundant high-dimensional data t...
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06/13/2016
Tuning-Free Heterogeneity Pursuit in Massive Networks
Heterogeneity is often natural in many contemporary applications involvi...
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11/24/2013
Sparse CCA via Precision Adjusted Iterative Thresholding
Sparse Canonical Correlation Analysis (CCA) has received considerable at...
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09/24/2013