181 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Dakota State UniversityUS4 papers
- North Dakota State UniversityUS4 papers
- Institute for Computational Science and TechnologyVN3 papers
- Leiden UniversityNL2 papers
- University of Hong KongHK2 papers
- University of Southern CaliforniaUS2 papers
- Accadis Hochschule Bad HomburgDE1 paper
- Alzahra UniversityIR1 paper
- Ames Research CenterUS1 paper
- Astrophysique, Instrumentation et ModélisationFR1 paper
- Athena Research and Innovation Center In Information Communication & Knowledge TechnologiesGR1 paper
- Australian Astronomical ObservatoryAU1 paper
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stat.ML2020★ 16 cited
GAMI-Net: An Explainable Neural Network based on Generalized Additive Models with Structured Interactions
Zebin Yang, Aijun Zhang, Agus Sudjianto
The lack of interpretability is an inevitable problem when using neural network models in real applications. In this paper, an explainable neural network based on generalized addit…
stat.ML2019★ 8 cited
Enhancing Explainability of Neural Networks through Architecture Constraints
Zebin Yang, Aijun Zhang, Agus Sudjianto
Prediction accuracy and model explainability are the two most important objectives when developing machine learning algorithms to solve real-world problems. The neural networks are…