no code implementations • 9 Jan 2024 • Weining Weng, Yang Gu, Shuai Guo, Yuan Ma, Zhaohua Yang, Yuchen Liu, Yiqiang Chen
2) We provide a comprehensive review of SSL for EEG analysis, including taxonomy, methodology, and technique details of the existing EEG-based SSL frameworks, and discuss the difference between these methods.
no code implementations • 26 Dec 2023 • Madiha Fatima, Zhihua Cao, Aichun Huang, Shengyuan Wu, Xinxian Fan, Yi Wang, Liu Jiren, Ziyun Zhu, Qiongrou Ye, Yuan Ma, Joseph K. F Chow, Peng Jia, Yangshou Liu, Yubin Lin, Manjun Ye, Tong Wu, ZHIXUN LI, Cong Cai, Wenhai Zhang, Cheris H. Q. Ding, Yuanzhe Cai, Feijuan Huang
With the global spread and increasing transmission rate of SARS-CoV-2, more and more laboratories and researchers are turning their attention to wastewater-based epidemiology (WBE), hoping it can become an effective tool for large-scale testing and provide more ac-curate predictions of the number of infected individuals.
no code implementations • 9 Oct 2023 • Guiyu Zhang, Qunbo Lv, Zui Tao, Baoyu Zhu, Zheng Tan, Yuan Ma
First, to capture different granularity information of tensor from multiple modes, a multi-granularity infrared patch tensor (MGIPT) model is constructed by collecting nonoverlapping patches and tensor augmentation based on the tensor train (TT) decomposition.
no code implementations • 8 Nov 2019 • Yuan Ma, Kewen Liu, Hongxia Xiong, Panpan Fang, Xiaojun Li, Yalei Chen, Chaoyang Liu
The presence of residual and dense neural networks which greatly promotes the development of image Super-Resolution(SR) have witnessed a lot of impressive results.
no code implementations • 15 Jun 2019 • Kewen Liu, Yuan Ma, Hongxia Xiong, Zejun Yan, Zhijun Zhou, Chaoyang Liu, Panpan Fang, Xiaojun Li, Yalei Chen
Futhermore, we abandoned this paper due to its limitation only applied on medical images.
no code implementations • 13 May 2019 • Kewen Liu, Yuan Ma, Hongxia Xiong, Zejun Yan, Zhijun Zhou, Panpan Fang, Chaoyang Liu
In order to address the issue that medical image would suffer from severe blurring caused by the lack of high-frequency details in the process of image super-resolution reconstruction, a novel medical image super-resolution method based on dense neural network and blended attention mechanism is proposed.
no code implementations • WS 2017 • Ahmet Aker, Alfred Sliwa, Yuan Ma, Ruishen Lui, Niravkumar Borad, Seyedeh Ziyaei, Mina Ghobadi
This paper offers a comparative analysis of the performance of different supervised machine learning methods and feature sets on argument mining tasks.
no code implementations • 25 Oct 2015 • Joe Lemieux, Yuan Ma
The purpose of this paper is to research the application of Deep Learning techniques to this problem to identify at the beginning of a drive cycle the driver specific vehicle speed profile for an individual driver repeated drive cycle, which can be used in an optimization algorithm to minimize the amount of fossil fuel energy used during the trip.