Ke Niu

According to our database, Ke Niu authored at least 19 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2023

PMCT: Parallel Multiscale Convolutional Temporal model for MOOC dropout prediction.

Ke Niu, Yuhang Zhou, GuoQiang Lu, Wenjuan Tai, Ke Zhang

Comput. Electr. Eng., December, 2023

CNN autoencoders and LSTM-based reduced order model for student dropout prediction.

Ke Niu, GuoQiang Lu, Xueping Peng, Yuhang Zhou, Jingni Zeng, Ke Zhang

Neural Comput. Appl., October, 2023

Intensive Care Unit readmission prediction with correlation enhanced multi-task learning.

Ke Niu, Su Pei, Xueping Peng, Jingni Zeng, Ke Zhang

Comput. Electr. Eng., September, 2023

A hybrid model for predicting academic performance of engineering undergraduates.

Ke Niu, Baoting Jia, Yuhang Zhou, GuoQiang Lu

Int. J. Model. Simul. Sci. Comput., April, 2023

CGDC- LSTM: A novel hybrid neural network model for MOOC dropout prediction.

Yuhang Zhou, Ke Niu, Haoyi Lv, GuoQiang Lu, Yijie Pan

Proceedings of the International Joint Conference on Neural Networks, 2023

MedCT-BERT: Multimodal Mortality Prediction using Medical ConvTransformer-BERT Model.

Ke Zhang, Ke Niu, Yuhang Zhou, Wenjuan Tai, Guoqiang Lu

Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

2022

Fusion of sequential visits and medical ontology for mortality prediction.

Ke Niu, You Lu, Xueping Peng, Jingni Zeng

J. Biomed. Informatics, 2022

A multi-head self-attention deep learning approach for detection and recommendation of neuromagnetic high frequency oscillations in epilepsy.

Xiangyu Zhao, Xueping Peng, Ke Niu, Hailong Li, Lili He, Feng Yang, Ting Wu, Duo Chen, Qiusi Zhang, Menglin Ouyang, Jiayang Guo, Yijie Pan

Frontiers Neuroinformatics, 2022

P-ResUnet: Segmentation of brain tissue with Purified Residual Unet.

Ke Niu, Zhongmin Guo, Xueping Peng, Su Pei

Comput. Biol. Medicine, 2022

MIFTP: A Multimodal Multi-Level Independent Fusion Framework with Improved Twin Pyramid for Multilabel Chest X-Ray Image Classification.

Jingni Zeng, Ke Niu, You Lu, Su Pei, Yuhang Zhou, Zhongmin Guo

Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

Multi-modal Intermediate Fusion Model for diagnosis prediction.

You Lu, Ke Niu, Xueping Peng, Jingni Zeng, Su Pei

Proceedings of the ICIAI 2022: The 6th International Conference on Innovation in Artificial Intelligence, Guangzhou China, March 4, 2022

2021

Readmission Prediction with Knowledge Graph Attention and RNN-Based Ordinary Differential Equations.

Su Pei, Ke Niu, Xueping Peng, Jingni Zeng

Proceedings of the Knowledge Science, Engineering and Management, 2021

2020

Multichannel Deep Attention Neural Networks for the Classification of Autism Spectrum Disorder Using Neuroimaging and Personal Characteristic Data.

Ke Niu, Jiayang Guo, Yijie Pan, Xin Gao, Xueping Peng, Ning Li, Hailong Li

Complex., 2020

2019

Video highlight extraction via content-aware deep transfer.

Ke Niu, Han Wang

Multim. Tools Appl., 2019

UTSP: User-Based Two-Step Recommendation With Popularity Normalization Towards Diversity and Novelty.

Ke Niu, Xiangyu Zhao, Fangfang Li, Ning Li, Xueping Peng, Wei Chen

IEEE Access, 2019

ACO-RR: Ant Colony Optimization Ridge Regression in Reuse of Smart City System.

Qiaoyun Yin, Ke Niu, Ning Li, Xueping Peng, Yijie Pan

Proceedings of the Reuse in the Big Data Era, 2019

Prediction for Student Academic Performance Using SMNaive Bayes Model.

Baoting Jia, Ke Niu, Xia Hou, Ning Li, Xueping Peng, Peipei Gu, Ran Jia

Proceedings of the Advanced Data Mining and Applications - 15th International Conference, 2019

2017

Using CV-CRITIC to Determine Weights for Smart City Evaluation.

Qiaoyun Yin, Ke Niu, Ning Li

Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

2015

A hybrid approach of topic model and matrix factorization based on two-step recommendation framework.

Xiangyu Zhao, Zhendong Niu, Wei Chen, Chongyang Shi, Ke Niu, Donglei Liu

J. Intell. Inf. Syst., 2015