Agus Sudjianto

According to our database, Agus Sudjianto authored at least 36 papers between 1995 and 2023.

Collaborative distances:

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

2023

Linear iterative feature embedding: an ensemble framework for an interpretable model.

Agus Sudjianto, Jinwen Qiu, Miaoqi Li, Jie Chen

Neural Comput. Appl., May, 2023

Single-Index Model Tree.

Agus Sudjianto, Zebin Yang, Aijun Zhang

IEEE Trans. Knowl. Data Eng., March, 2023

Interpretable Machine Learning based on Functional ANOVA Framework: Algorithms and Comparisons.

Linwei Hu, Vijayan N. Nair, Agus Sudjianto, Aijun Zhang, Jie Chen

CoRR, 2023

Enhancing Robustness of Gradient-Boosted Decision Trees through One-Hot Encoding and Regularization.

Shijie Cui, Agus Sudjianto, Aijun Zhang, Runze Li

CoRR, 2023

2022

Explaining Adverse Actions in Credit Decisions Using Shapley Decomposition.

Vijayan N. Nair, Tianshu Feng, Linwei Hu, Zach Zhang, Jie Chen, Agus Sudjianto

CoRR, 2022

2021

Enhancing Explainability of Neural Networks Through Architecture Constraints.

Zebin Yang, Aijun Zhang, Agus Sudjianto

IEEE Trans. Neural Networks Learn. Syst., 2021

GAMI-Net: An explainable neural network based on generalized additive models with structured interactions.

Zebin Yang, Aijun Zhang, Agus Sudjianto

Pattern Recognit., 2021

An effective SteinGLM initialization scheme for training multi-layer feedforward sigmoidal neural networks.

Zebin Yang, Hengtao Zhang, Agus Sudjianto, Aijun Zhang

Neural Networks, 2021

Traversing the Local Polytopes of ReLU Neural Networks: A Unified Approach for Network Verification.

Shaojie Xu, Joel Vaughan, Jie Chen, Aijun Zhang, Agus Sudjianto

CoRR, 2021

Designing Inherently Interpretable Machine Learning Models.

Agus Sudjianto, Aijun Zhang

CoRR, 2021

Supervised Linear Dimension-Reduction Methods: Review, Extensions, and Comparisons.

Shaojie Xu, Joel Vaughan, Jie Chen, Agus Sudjianto, Vijayan N. Nair

CoRR, 2021

Self-interpretable Convolutional Neural Networks for Text Classification.

Wei Zhao, Rahul Singh, Tarun Joshi, Agus Sudjianto, Vijayan N. Nair

CoRR, 2021

Bias, Fairness, and Accountability with AI and ML Algorithms.

Nengfeng Zhou, Zach Zhang, Vijayan N. Nair, Harsh Singhal, Jie Chen, Agus Sudjianto

CoRR, 2021

Linear Iterative Feature Embedding: An Ensemble Framework for Interpretable Model.

Agus Sudjianto, Jinwen Qiu, Miaoqi Li, Jie Chen

CoRR, 2021

2020

Unwrapping The Black Box of Deep ReLU Networks: Interpretability, Diagnostics, and Simplification.

Agus Sudjianto, William Knauth, Rahul Singh, Zebin Yang, Aijun Zhang

CoRR, 2020

SHAP values for Explaining CNN-based Text Classification Models.

Wei Zhao, Tarun Joshi, Vijayan N. Nair, Agus Sudjianto

CoRR, 2020

Model Robustness with Text Classification: Semantic-preserving adversarial attacks.

Rahul Singh, Tarun Joshi, Vijayan N. Nair, Agus Sudjianto

CoRR, 2020

Supervised Machine Learning Techniques: An Overview with Applications to Banking.

Linwei Hu, Jie Chen, Joel Vaughan, Hanyu Yang, Kelly Wang, Agus Sudjianto, Vijayan N. Nair

CoRR, 2020

Surrogate Locally-Interpretable Models with Supervised Machine Learning Algorithms.

Linwei Hu, Jie Chen, Vijayan N. Nair, Agus Sudjianto

CoRR, 2020

An Effective and Efficient Initialization Scheme for Multi-layer Feedforward Neural Networks.

Zebin Yang, Hengtao Zhang, Agus Sudjianto, Aijun Zhang

CoRR, 2020

Adaptive Explainable Neural Networks (AxNNs).

Jie Chen, Joel Vaughan, Vijayan N. Nair, Agus Sudjianto

CoRR, 2020

2019

Time Series Simulation by Conditional Generative Adversarial Net.

Rao Fu, Jie Chen, Shutian Zeng, Yiping Zhuang, Agus Sudjianto

CoRR, 2019

2018

Model Interpretation: A Unified Derivative-based Framework for Nonparametric Regression and Supervised Machine Learning.

Xiaoyu Liu, Jie Chen, Vijayan N. Nair, Agus Sudjianto

CoRR, 2018

Explainable Neural Networks based on Additive Index Models.

Joel Vaughan, Agus Sudjianto, Erind Brahimi, Jie Chen, Vijayan N. Nair

CoRR, 2018

Locally Interpretable Models and Effects based on Supervised Partitioning (LIME-SUP).

Linwei Hu, Jie Chen, Vijayan N. Nair, Agus Sudjianto

CoRR, 2018

2016

Modelling credit grade migration in large portfolios using cumulative t-link transition models.

Jonathan J. Forster, Matteo Buzzacchi, Agus Sudjianto, Risa Nagao

Eur. J. Oper. Res., 2016

2010

Statistical Methods for Fighting Financial Crimes.

Agus Sudjianto, Sheela Nair, Ming Yuan, Aijun Zhang, Daniel A. Kern, Fernando Cela-Díaz

Technometrics, 2010

2008

Scalable and interactive visual analysis of financial wire transactions for fraud detection.

Remco Chang, Alvin Lee, Mohammad Ghoniem, Robert Kosara, William Ribarsky, Jing Yang, Evan A. Suma, Caroline Ziemkiewicz, Daniel A. Kern, Agus Sudjianto

Inf. Vis., 2008

2007

Anomaly Detection in High-Dimensional Financial Databases.

Agus Sudjianto, Fernando Cela-Díaz, Aijun Zhang, Ming Yuan

Proceedings of the 2007 International Conference on Machine Learning; Models, 2007

WireVis: Visualization of Categorical, Time-Varying Data From Financial Transactions.

Remco Chang, Mohammad Ghoniem, Robert Kosara, William Ribarsky, Jing Yang, Evan A. Suma, Caroline Ziemkiewicz, Daniel A. Kern, Agus Sudjianto

Proceedings of the 2nd IEEE Symposium on Visual Analytics Science and Technology, 2007

2005

Analysis of Computer Experiments Using Penalized Likelihood in Gaussian Kriging Models.

Runze Li, Agus Sudjianto

Technometrics, 2005

2004

Discussion.

Agus Sudjianto

Technometrics, 2004

Selective Assembly in Manufacturing: Statistical Issues and Optimal Binning Strategies.

David Mease, Vijayan N. Nair, Agus Sudjianto

Technometrics, 2004

1997

Pattern Recognition And Neural Networks [Book Reviews].

Paul Watta, Agus Sudjianto

IEEE Trans. Neural Networks, 1997

1996

Extensions of principal component analysis for nonlinear feature extraction.

Agus Sudjianto, Mohamad H. Hassoun, Gary S. Wasserman

Proceedings of International Conference on Neural Networks (ICNN'96), 1996

1995

Statistical basis of nonlinear hebbian learning and application to clustering.

Agus Sudjianto, Mohamad H. Hassoun

Neural Networks, 1995