Agus Sudjianto

Publication Activity (10 Years)

Years Active: 1995-2023
Publications (10 Years): 29

Top Topics

Text Classification

Nonparametric Regression

Boosted Decision Trees

Top Venues

Pattern Recognit.

IEEE Trans. Neural Networks Learn. Syst.

Neural Comput. Appl.

Publications

Linwei Hu, Vijayan N. Nair, Agus Sudjianto, Aijun Zhang, Jie Chen
Interpretable Machine Learning based on Functional ANOVA Framework: Algorithms and Comparisons. CoRR (2023)
Agus Sudjianto, Aijun Zhang, Zebin Yang, Yu Su, Ningzhou Zeng
PiML Toolbox for Interpretable Machine Learning Model Development and Validation. CoRR (2023)
Shijie Cui, Agus Sudjianto, Aijun Zhang, Runze Li
Enhancing Robustness of Gradient-Boosted Decision Trees through One-Hot Encoding and Regularization. CoRR (2023)
Agus Sudjianto, Zebin Yang, Aijun Zhang
Single-Index Model Tree. IEEE Trans. Knowl. Data Eng. 35 (3) (2023)
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)
Vijayan N. Nair, Tianshu Feng, Linwei Hu, Zach Zhang, Jie Chen, Agus Sudjianto
Explaining Adverse Actions in Credit Decisions Using Shapley Decomposition. CoRR (2022)
Wei Zhao, Rahul Singh, Tarun Joshi, Agus Sudjianto, Vijayan N. Nair
Self-interpretable Convolutional Neural Networks for Text Classification. CoRR (2021)
Zebin Yang, Aijun Zhang, Agus Sudjianto
Enhancing Explainability of Neural Networks Through Architecture Constraints. IEEE Trans. Neural Networks Learn. Syst. 32 (6) (2021)
Zebin Yang, Aijun Zhang, Agus Sudjianto
GAMI-Net: An explainable neural network based on generalized additive models with structured interactions. Pattern Recognit. 120 (2021)
Shaojie Xu, Joel Vaughan, Jie Chen, Aijun Zhang, Agus Sudjianto
Traversing the Local Polytopes of ReLU Neural Networks: A Unified Approach for Network Verification. CoRR (2021)
Agus Sudjianto, Jinwen Qiu, Miaoqi Li, Jie Chen
Linear Iterative Feature Embedding: An Ensemble Framework for Interpretable Model. CoRR (2021)
Agus Sudjianto, Aijun Zhang
Designing Inherently Interpretable Machine Learning Models. CoRR (2021)
Zebin Yang, Hengtao Zhang, Agus Sudjianto, Aijun Zhang
An effective SteinGLM initialization scheme for training multi-layer feedforward sigmoidal neural networks. Neural Networks 139 (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)
Zebin Yang, Hengtao Zhang, Agus Sudjianto, Aijun Zhang
An Effective and Efficient Initialization Scheme for Multi-layer Feedforward Neural Networks. CoRR (2020)
Agus Sudjianto, William Knauth, Rahul Singh, Zebin Yang, Aijun Zhang
Unwrapping The Black Box of Deep ReLU Networks: Interpretability, Diagnostics, and Simplification. CoRR (2020)
Jie Chen, Joel Vaughan, Vijayan N. Nair, Agus Sudjianto
Adaptive Explainable Neural Networks (AxNNs). CoRR (2020)
Rahul Singh, Tarun Joshi, Vijayan N. Nair, Agus Sudjianto
Model Robustness with Text Classification: Semantic-preserving adversarial attacks. CoRR (2020)
Wei Zhao, Tarun Joshi, Vijayan N. Nair, Agus Sudjianto
SHAP values for Explaining CNN-based Text Classification Models. CoRR (2020)
Zebin Yang, Aijun Zhang, Agus Sudjianto
GAMI-Net: An Explainable Neural Network based on Generalized Additive Models with Structured Interactions. CoRR (2020)
Linwei Hu, Jie Chen, Vijayan N. Nair, Agus Sudjianto
Surrogate Locally-Interpretable Models with Supervised Machine Learning Algorithms. CoRR (2020)
Zebin Yang, Aijun Zhang, Agus Sudjianto
Enhancing Explainability of Neural Networks through Architecture Constraints. CoRR (2019)
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)
Jonathan J. Forster, Matteo Buzzacchi, Agus Sudjianto, Risa Nagao
Modelling credit grade migration in large portfolios using cumulative t-link transition models. Eur. J. Oper. Res. 254 (3) (2016)
Agus Sudjianto, Sheela Nair, Ming Yuan, Aijun Zhang, Daniel A. Kern, Fernando Cela-Díaz
Statistical Methods for Fighting Financial Crimes. Technometrics 52 (1) (2010)
Remco Chang, Alvin Lee, Mohammad Ghoniem, Robert Kosara, William Ribarsky, Jing Yang, Evan A. Suma, Caroline Ziemkiewicz, Daniel A. Kern, Agus Sudjianto
Scalable and interactive visual analysis of financial wire transactions for fraud detection. Inf. Vis. 7 (1) (2008)
Agus Sudjianto, Fernando Cela-Díaz, Aijun Zhang, Ming Yuan
Anomaly Detection in High-Dimensional Financial Databases. MLMTA (2007)
Remco Chang, Mohammad Ghoniem, Robert Kosara, William Ribarsky, Jing Yang, Evan A. Suma, Caroline Ziemkiewicz, Daniel A. Kern, Agus Sudjianto
WireVis: Visualization of Categorical, Time-Varying Data From Financial Transactions. IEEE VAST (2007)
Runze Li, Agus Sudjianto
Analysis of Computer Experiments Using Penalized Likelihood in Gaussian Kriging Models. Technometrics 47 (2) (2005)
Agus Sudjianto
Discussion. Technometrics 46 (1) (2004)
David Mease, Vijayan N. Nair, Agus Sudjianto
Selective Assembly in Manufacturing: Statistical Issues and Optimal Binning Strategies. Technometrics 46 (2) (2004)
Paul Watta, Agus Sudjianto
Pattern Recognition And Neural Networks [Book Reviews]. IEEE Trans. Neural Networks 8 (3) (1997)
Agus Sudjianto, Mohamad H. Hassoun, Gary S. Wasserman
Extensions of principal component analysis for nonlinear feature extraction. ICNN (1996)
Agus Sudjianto, Mohamad H. Hassoun
Statistical basis of nonlinear hebbian learning and application to clustering. Neural Networks 8 (5) (1995)