Jie Chen - RankMe

20 papers Journal 19Unranked 1

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