Agus Sudjianto
Orcid: 0000-0003-0846-9746
According to our database1,
Agus Sudjianto
authored at least 43 papers
between 1995 and 2024.
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Bibliography
2024
IEEE Trans. Neural Networks Learn. Syst., October, 2024
CoRR, 2024
Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations.
CoRR, 2024
Less Discriminatory Alternative and Interpretable XGBoost Framework for Binary Classification.
CoRR, 2024
Automatic Generation of Behavioral Test Cases For Natural Language Processing Using Clustering and Prompting.
CoRR, 2024
2023
Linear iterative feature embedding: an ensemble framework for an interpretable model.
Neural Comput. Appl., May, 2023
Interpretable Machine Learning based on Functional ANOVA Framework: Algorithms and Comparisons.
CoRR, 2023
Enhancing Robustness of Gradient-Boosted Decision Trees through One-Hot Encoding and Regularization.
CoRR, 2023
2022
CoRR, 2022
2021
IEEE Trans. Neural Networks Learn. Syst., 2021
GAMI-Net: An explainable neural network based on generalized additive models with structured interactions.
Pattern Recognit., 2021
An effective SteinGLM initialization scheme for training multi-layer feedforward sigmoidal neural networks.
Neural Networks, 2021
Traversing the Local Polytopes of ReLU Neural Networks: A Unified Approach for Network Verification.
CoRR, 2021
CoRR, 2021
CoRR, 2021
2020
Unwrapping The Black Box of Deep ReLU Networks: Interpretability, Diagnostics, and Simplification.
CoRR, 2020
CoRR, 2020
CoRR, 2020
CoRR, 2020
An Effective and Efficient Initialization Scheme for Multi-layer Feedforward Neural Networks.
CoRR, 2020
2019
2018
Model Interpretation: A Unified Derivative-based Framework for Nonparametric Regression and Supervised Machine Learning.
CoRR, 2018
Locally Interpretable Models and Effects based on Supervised Partitioning (LIME-SUP).
CoRR, 2018
2016
Modelling credit grade migration in large portfolios using cumulative t-link transition models.
Eur. J. Oper. Res., 2016
2010
2008
Scalable and interactive visual analysis of financial wire transactions for fraud detection.
Inf. Vis., 2008
2007
Anomaly Detection in High-Dimensional Financial Databases.
Proceedings of the 2007 International Conference on Machine Learning; Models, 2007
WireVis: Visualization of Categorical, Time-Varying Data From Financial Transactions.
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.
Technometrics, 2005
2004
Selective Assembly in Manufacturing: Statistical Issues and Optimal Binning Strategies.
Technometrics, 2004
1997
IEEE Trans. Neural Networks, 1997
1996
Proceedings of International Conference on Neural Networks (ICNN'96), 1996
1995
Neural Networks, 1995