Jie Chen

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 14

Top Topics

Modeling Framework

Supervised Machine Learning

Top Venues

Neural Comput. Appl.

Publications

Agus Sudjianto, Jinwen Qiu, Miaoqi Li, Jie Chen
Linear iterative feature embedding: an ensemble framework for an interpretable model. Neural Comput. Appl. 35 (13) (2023)
Alice J. Liu, Linwei Hu, Jie Chen, Vijayan N. Nair
Performance and Interpretability Comparisons of Supervised Machine Learning Algorithms: An Empirical Study. CoRR (2022)
Tianjie Wang, Jie Chen, Joel Vaughan, Vijayan N. Nair
Interpretable Feature Engineering for Time Series Predictors using Attention Networks. CoRR (2022)
Vijayan N. Nair, Tianshu Feng, Linwei Hu, Zach Zhang, Jie Chen, Agus Sudjianto
Explaining Adverse Actions in Credit Decisions Using Shapley Decomposition. CoRR (2022)
Agus Sudjianto, Jinwen Qiu, Miaoqi Li, Jie Chen
Linear Iterative Feature Embedding: An Ensemble Framework for Interpretable Model. CoRR (2021)
Shaojie Xu, Joel Vaughan, Jie Chen, Agus Sudjianto, Vijayan N. Nair
Supervised Linear Dimension-Reduction Methods: Review, Extensions, and Comparisons. CoRR (2021)
Nengfeng Zhou, Zach Zhang, Vijayan N. Nair, Harsh Singhal, Jie Chen, Agus Sudjianto
Bias, Fairness, and Accountability with AI and ML Algorithms. CoRR (2021)
Linwei Hu, Jie Chen, Joel Vaughan, Hanyu Yang, Kelly Wang, Agus Sudjianto, Vijayan N. Nair
Supervised Machine Learning Techniques: An Overview with Applications to Banking. CoRR (2020)
Jie Chen, Joel Vaughan, Vijayan N. Nair, Agus Sudjianto
Adaptive Explainable Neural Networks (AxNNs). CoRR (2020)
Linwei Hu, Jie Chen, Vijayan N. Nair, Agus Sudjianto
Surrogate Locally-Interpretable Models with Supervised Machine Learning Algorithms. CoRR (2020)
Rao Fu, Jie Chen, Shutian Zeng, Yiping Zhuang, Agus Sudjianto
Time Series Simulation by Conditional Generative Adversarial Net. CoRR (2019)
Xiaoyu Liu, Jie Chen, Vijayan N. Nair, Agus Sudjianto
Model Interpretation: A Unified Derivative-based Framework for Nonparametric Regression and Supervised Machine Learning. CoRR (2018)
Joel Vaughan, Agus Sudjianto, Erind Brahimi, Jie Chen, Vijayan N. Nair
Explainable Neural Networks based on Additive Index Models. CoRR (2018)
Linwei Hu, Jie Chen, Vijayan N. Nair, Agus Sudjianto
Locally Interpretable Models and Effects based on Supervised Partitioning (LIME-SUP). CoRR (2018)
Jie Chen, Xiaoming Huo
Theoretical Results on Sparse Representations of Multiple-Measurement Vectors. IEEE Trans. Signal Process. 54 (12) (2006)
Jie Chen, Xiaoming Huo
Sparse representations for multiple measurement vectors (MMV) in an over-complete dictionary. ICASSP (4) (2005)