33 citations · 84 across the 5 of their papers we have counts for
5 papers
Machine Learning Interpretability of Outer Radiation Belt Enhancement \& Depletion Events
Donglai Ma, Jacob Bortnik, Qianli Ma +2
We investigate the response of outer radiation belt electron fluxes to different solar wind and geomagnetic indices using an interpretable machine learning method. We reconstruct t…
A Survey on Time-Series Pre-Trained Models
Qianli Ma, Zhen Liu, Zhenjing Zheng +4
Time-Series Mining (TSM) is an important research area since it shows great potential in practical applications. Deep learning models that rely on massive labeled data have been ut…
Opening the Black Box of the Radiation Belt Machine Learning Model
Donglai Ma, Jacob Bortnik, Xiangning Chu +3
Many Machine Learning (ML) systems, especially neural networks, are fundamentally regarded as black boxes since it is difficult to grasp how they function once they have been train…
Unified Attentional Generative Adversarial Network for Brain Tumor Segmentation From Multimodal Unpaired Images
Wenguang Yuan, Jia Wei, Jiabing Wang +2
In medical applications, the same anatomical structures may be observed in multiple modalities despite the different image characteristics. Currently, most deep models for multimod…
Deep-ESN: A Multiple Projection-encoding Hierarchical Reservoir Computing Framework
Qianli Ma, Lifeng Shen, Garrison W. Cottrell
As an efficient recurrent neural network (RNN) model, reservoir computing (RC) models, such as Echo State Networks, have attracted widespread attention in the last decade. However,…