This study introduces a mediation analysis framework when the mediator i...
In this study, a density-on-density regression model is introduced, wher...
Reinforcement learning is able to solve complex sequential decision-maki...
High-content cellular imaging, transcriptomics, and proteomics data prov...
Genetic association studies for brain connectivity phenotypes have gaine...
Visual localization is critical to many applications in computer vision ...
In this manuscript, we study the problem of scalar-on-distribution
regre...
Emotion-cause pair extraction (ECPE) task aims to extract all the pairs ...
A Covariance-on-Covariance regression model is introduced in this manusc...
Multimodal sentiment analysis (MSA) and emotion recognition in conversat...
In sprite the state-of-the-art, significantly reducing carbon footprint ...
Offline reinforcement learning, by learning from a fixed dataset, makes ...
Deep learning methods have been widely applied to anomaly-based network
...
In many complex sequential decision making tasks, online planning is cru...
A mediation analysis approach is proposed for multiple exposures, multip...
The convolutional-based methods provide good segmentation performance in...
In multi-access edge computing (MEC) systems, there are multiple local c...
We participated in the mean opinion score (MOS) prediction challenge, 20...
Accurate segmentation of the blood vessels of the retina is an important...
Massive open online courses (MOOCs), which provide a large-scale interac...
In this study, a longitudinal regression model for covariance matrix out...
The outbreak of coronavirus disease 2019 (COVID-19) has had a significan...
The creation of long melody sequences requires effective expression of
c...
Assessment of replicability is critical to ensure the quality and rigor ...
A compositional tree refers to a tree structure on a set of random varia...
Brain segmentation at different levels is generally represented as
hiera...
Motivated by an imaging proteomics study for Alzheimer's disease (AD), i...
We explore pretraining strategies including choice of base corpus with t...
Structural reconstruction of plant roots from MRI is challenging, becaus...
We present a new approach to disentangle speaker voice and phone content...
The Voice Conversion Challenge 2020 is the third edition under its flags...
The voice conversion challenge is a bi-annual scientific event held to
c...
Providing an accurate evaluation of palm tree plantation in a large regi...
This manuscript presents an approach to perform generalized linear regre...
Vector Quantized Variational AutoEncoders (VQ-VAE) are a powerful
repres...
Many recently developed object detectors focused on coarse-to-fine frame...
Deep learning object detection algorithm has been widely used in medical...
Magnetic resonance imaging (MRI) enables plant scientists to non-invasiv...
In this study, we propose a two-stage procedure for hypothesis testing, ...
Recent neural waveform synthesizers such as WaveNet, WaveGlow, and the
n...
With fast advancements in technologies, the collection of multiple types...
In this paper, a method for malfunctioning smart meter detection, based ...
Speakers usually adjust their way of talking in noisy environments
invol...
We investigate a covering problem in 3-uniform hypergraphs (3-graphs):
g...
Comparing with other biometrics, gait has advantages of being unobtrusiv...
Recent neural networks such as WaveNet and sampleRNN that learn directly...
Causal mediation analysis aims to quantify the intermediate effect of a
...
Causal mediation analysis is widely utilized to separate the causal effe...
It becomes increasingly popular to perform mediation analysis for comple...
In many scientific studies, it becomes increasingly important to delinea...