Zhizhe Lin

发表

A Noise-eliminated Gradient Boosting Model for Short-term Traffic Flow Forecasting

Youyi Song, Teng Zhou, Shi-you Zheng, 2020, 2020 8th International Conference on Digital Home (ICDH).

Early Diagnosis of Neuropsychiatric Systemic Lupus Erythematosus by Deep Learning Enhanced Magnetic Resonance Spectroscopy

Xi Yang, Teng Zhou, Zhizhe Lin, 2021, J. Medical Imaging Health Informatics.

Quantitative analysis of patients with celiac disease by video capsule endoscopy: A deep learning method

Guoqiang Han, Jing Qin, Edward J. Ciaccio, 2017, Comput. Biol. Medicine.

Hybrid dual Kalman filtering model for short‐term traffic flow forecasting

Dazhi Jiang, Xuemiao Xu, Jing Qin, 2019, IET Intelligent Transport Systems.

Error-distribution-free kernel extreme learning machine for traffic flow forecasting

Changhong Xu, Teng Zhou, Zhizhe Lin, 2023, Engineering Applications of Artificial Intelligence.

δ-agree AdaBoost stacked autoencoder for short-term traffic flow forecasting

Guoqiang Han, Jing Qin, Xuemiao Xu, 2017, Neurocomputing.

A Noise-Immune Boosting Framework for Short-Term Traffic Flow Forecasting

Teng Zhou, Shuangyi Zhang, Youyi Song, 2021, Complex..

Quantitative Analysis of Anesthesia Recovery Time by Machine Learning Prediction Models

Youyi Song, Teng Zhou, Zhizhe Lin, 2022, Mathematics.

Quantitative analysis of patients with celiac disease by video capsule endoscopy: A deep learning method

Guoqiang Han, J. Qin, E. Ciaccio, 2017, Comput. Biol. Medicine.

Overlapping cytoplasms segmentation via constrained multi-shape evolution for cervical cancer screening

Youyi Song, Teng Zhou, Zhizhe Lin, 2024, Artif. Intell. Medicine.