Agus Sudjianto

47 papers Journal 44Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	An Information-Theoretic Framework for Credit Risk Modeling: Unifying Industry Practice with Statistical Theory for Fair and Interpretable Scorecards. CoRR Agus Sudjianto, Denis Burakov
2025	J	`jnl`	Geometric Dynamics of Consumer Credit Cycles: A Multivector-based Linear-Attention Framework for Explanatory Economic Analysis. CoRR Agus Sudjianto, Sandi Setiawan
2024	J	`jnl`	A Sequential Stein's Method for Faster Training of Additive Index Models. IEEE Trans. Neural Networks Learn. Syst. Hengtao Zhang, Zebin Yang, Agus Sudjianto, Aijun Zhang
2024	J	`jnl`	Automatic Generation of Behavioral Test Cases For Natural Language Processing Using Clustering and Prompting. CoRR Ying Li, Rahul Singh, Tarun Joshi, Agus Sudjianto
2024	J	`jnl`	Human-Calibrated Automated Testing and Validation of Generative Language Models. CoRR Agus Sudjianto, Aijun Zhang, Srinivas Neppalli, Tarun Joshi, Michal Malohlava
2024	J	`jnl`	Inherently Interpretable Tree Ensemble Learning. CoRR Zebin Yang, Agus Sudjianto, Xiaoming Li, Aijun Zhang
2024	J	`jnl`	Less Discriminatory Alternative and Interpretable XGBoost Framework for Binary Classification. CoRR Andrew C. Pangia, Agus Sudjianto, Aijun Zhang, Taufiquar Khan
2024	J	`jnl`	Model Validation Practice in Banking: A Structured Approach. CoRR Agus Sudjianto, Aijun Zhang
2024	J	`jnl`	Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations. CoRR Yueyang Shen, Agus Sudjianto, Arun Prakash R, Anwesha Bhattacharyya, Maorong Rao, Yaqun Wang, Joel Vaughan, Nengfeng Zhou
2023	J	`jnl`	Enhancing Robustness of Gradient-Boosted Decision Trees through One-Hot Encoding and Regularization. CoRR Shijie Cui, Agus Sudjianto, Aijun Zhang, Runze Li
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`	Single-Index Model Tree. IEEE Trans. Knowl. Data Eng. Agus Sudjianto, Zebin Yang, Aijun Zhang
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
2021	J	`jnl`	An effective SteinGLM initialization scheme for training multi-layer feedforward sigmoidal neural networks. Neural Networks Zebin Yang, Hengtao Zhang, Agus Sudjianto, Aijun Zhang
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`	Designing Inherently Interpretable Machine Learning Models. CoRR Agus Sudjianto, Aijun Zhang
2021	J	`jnl`	Enhancing Explainability of Neural Networks Through Architecture Constraints. IEEE Trans. Neural Networks Learn. Syst. Zebin Yang, Aijun Zhang, Agus Sudjianto
2021	J	`jnl`	GAMI-Net: An explainable neural network based on generalized additive models with structured interactions. Pattern Recognit. Zebin Yang, Aijun Zhang, 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`	Self-interpretable Convolutional Neural Networks for Text Classification. CoRR Wei Zhao, Rahul Singh, Tarun Joshi, Agus Sudjianto, Vijayan N. Nair
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`	An Effective and Efficient Initialization Scheme for Multi-layer Feedforward Neural Networks. CoRR Zebin Yang, Hengtao Zhang, Agus Sudjianto, Aijun Zhang
2020	J	`jnl`	GAMI-Net: An Explainable Neural Network based on Generalized Additive Models with Structured Interactions. CoRR Zebin Yang, Aijun Zhang, Agus Sudjianto
2020	J	`jnl`	Model Robustness with Text Classification: Semantic-preserving adversarial attacks. CoRR Rahul Singh, Tarun Joshi, Vijayan N. Nair, Agus Sudjianto
2020	J	`jnl`	SHAP values for Explaining CNN-based Text Classification Models. CoRR Wei Zhao, Tarun Joshi, 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
2020	J	`jnl`	Unwrapping The Black Box of Deep ReLU Networks: Interpretability, Diagnostics, and Simplification. CoRR Agus Sudjianto, William Knauth, Rahul Singh, Zebin Yang, Aijun Zhang
2019	J	`jnl`	Enhancing Explainability of Neural Networks through Architecture Constraints. CoRR Zebin Yang, Aijun Zhang, 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
2016	J	`jnl`	Modelling credit grade migration in large portfolios using cumulative t-link transition models. Eur. J. Oper. Res. Jonathan J. Forster, Matteo Buzzacchi, Agus Sudjianto, Risa Nagao
2010	J	`jnl`	Statistical Methods for Fighting Financial Crimes. Technometrics Agus Sudjianto, Sheela Nair, Ming Yuan, Aijun Zhang, Daniel A. Kern, Fernando Cela-Díaz
2008	J	`jnl`	Scalable and interactive visual analysis of financial wire transactions for fraud detection. Inf. Vis. Remco Chang, Alvin Lee, Mohammad Ghoniem, Robert Kosara, William Ribarsky, Jing Yang, Evan A. Suma, Caroline Ziemkiewicz, Daniel A. Kern, Agus Sudjianto
2007	—	`conf`	Anomaly Detection in High-Dimensional Financial Databases. MLMTA Agus Sudjianto, Fernando Cela-Díaz, Aijun Zhang, Ming Yuan
2007	—	`conf`	WireVis: Visualization of Categorical, Time-Varying Data From Financial Transactions. IEEE VAST Remco Chang, Mohammad Ghoniem, Robert Kosara, William Ribarsky, Jing Yang, Evan A. Suma, Caroline Ziemkiewicz, Daniel A. Kern, Agus Sudjianto
2005	J	`jnl`	Analysis of Computer Experiments Using Penalized Likelihood in Gaussian Kriging Models. Technometrics Runze Li, Agus Sudjianto
2004	J	`jnl`	Discussion. Technometrics Agus Sudjianto
2004	J	`jnl`	Selective Assembly in Manufacturing: Statistical Issues and Optimal Binning Strategies. Technometrics David Mease, Vijayan N. Nair, Agus Sudjianto
1997	J	`jnl`	Pattern Recognition And Neural Networks [Book Reviews]. IEEE Trans. Neural Networks Paul Watta, Agus Sudjianto
1996	—	`conf`	Extensions of principal component analysis for nonlinear feature extraction. ICNN Agus Sudjianto, Mohamad H. Hassoun, Gary S. Wasserman
1995	J	`jnl`	Statistical basis of nonlinear hebbian learning and application to clustering. Neural Networks Agus Sudjianto, Mohamad H. Hassoun