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Featured Co-authors

Yu Su
56 publications
Rahul Singh
50 publications
Agus Sudjianto
24 publications
Aijun Zhang
18 publications
Hengtao Zhang
6 publications
YiFeng Guo
5 publications
Dennis K. J. Lin
4 publications
William Knauth
2 publications
Ningzhou Zeng
1 publication

∙ 05/07/2023

PiML Toolbox for Interpretable Machine Learning Model Development and Validation

PiML (read π-ML, /`pai.`em.`el/) is an integrated and open-access Python...

0 Agus Sudjianto, et al. ∙

∙ 12/15/2020

Explainable Recommendation Systems by Generalized Additive Models with Manifest and Latent Interactions

In recent years, the field of recommendation systems has attracted incre...

0 YiFeng Guo, et al. ∙

∙ 11/08/2020

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

The deep neural networks (DNNs) have achieved great success in learning ...

55 Agus Sudjianto, et al. ∙

∙ 09/08/2020

Hyperparameter Optimization via Sequential Uniform Designs

Hyperparameter tuning or optimization plays a central role in the automa...

0 Zebin Yang, et al. ∙

∙ 05/16/2020

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

Network initialization is the first and critical step for training neura...

0 Zebin Yang, et al. ∙

∙ 05/16/2020

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

Network initialization is the first and critical step for training neura...

0 Zebin Yang, et al. ∙

∙ 05/16/2020

An Effective and Efficient Training Algorithm for Multi-layer Feedforward Neural Networks

Network initialization is the first and critical step for training neura...

0 Zebin Yang, et al. ∙

∙ 03/16/2020

GAMI-Net: An Explainable Neural Network based on Generalized Additive Models with Structured Interactions

The lack of interpretability is an inevitable problem when using neural ...

0 Zebin Yang, et al. ∙

∙ 01/12/2019

Enhancing Explainability of Neural Networks through Architecture Constraints

Prediction accuracy and model explainability are the two most important ...

0 Zebin Yang, et al. ∙

∙ 08/21/2018

Interval-valued Data Prediction via Regularized Artificial Neural Network

A regularized artificial neural network (RANN) is proposed for interval-...

0 Zebin Yang, et al. ∙

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