research
∙
03/02/2023
Interpretable System Identification and Long-term Prediction on Time-Series Data
Time-series prediction has drawn considerable attention during the past ...
share
research
∙
03/13/2021
Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting
Multivariate time-series forecasting plays a crucial role in many real-w...
research
∙
06/04/2020
MFPP: Morphological Fragmental Perturbation Pyramid for Black-Box Model Explanations
With the increasing popularity of deep neural networks (DNNs), it has re...
research
∙
05/11/2020
Incorporating structured assumptions with probabilistic graphical models in fMRI data analysis
With the wide adoption of functional magnetic resonance imaging (fMRI) b...
research
∙
04/24/2020
PipeNet: Selective Modal Pipeline of Fusion Network for Multi-Modal Face Anti-Spoofing
Face anti-spoofing has become an increasingly important and critical sec...
research
∙
03/10/2020
Channel Pruning via Optimal Thresholding
Structured pruning, especially channel pruning is widely used for the re...
research
∙
09/04/2018
Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers
As deep learning methods form a critical part in commercially important ...
research
∙
11/17/2017
Segmenting Brain Tumors with Symmetry
We explore encoding brain symmetry into a neural network for a brain tum...
research
∙
09/29/2016
A Searchlight Factor Model Approach for Locating Shared Information in Multi-Subject fMRI Analysis
There is a growing interest in joint multi-subject fMRI analysis. The ch...
research
∙
08/17/2016
A Convolutional Autoencoder for Multi-Subject fMRI Data Aggregation
Finding the most effective way to aggregate multi-subject fMRI data is a...
research
∙
08/16/2016