17 citations · 49 across the 5 of their papers we have counts for
5 papers
Multi-resolution Interpretation and Diagnostics Tool for Natural Language Classifiers
Peyman Jalali, Nengfeng Zhou, Yufei Yu
Developing explainability methods for Natural Language Processing (NLP) models is a challenging task, for two main reasons. First, the high dimensionality of the data (large number…
Model Explainability in Deep Learning Based Natural Language Processing
Shafie Gholizadeh, Nengfeng Zhou
Machine learning (ML) model explainability has received growing attention, especially in the area related to model risk and regulations. In this paper, we reviewed and compared som…
Survey of Imbalanced Data Methodologies
Lian Yu, Nengfeng Zhou
Imbalanced data set is a problem often found and well-studied in financial industry. In this paper, we reviewed and compared some popular methodologies handling data imbalance. We…
Sparse regulatory networks
Gareth M. James, Chiara Sabatti, Nengfeng Zhou +1
In many organisms the expression levels of each gene are controlled by the activation levels of known "Transcription Factors" (TF). A problem of considerable interest is that of es…
Group Variable Selection via a Hierarchical Lasso and Its Oracle Property
Nengfeng Zhou, Ji Zhu
In many engineering and scientific applications, prediction variables are grouped, for example, in biological applications where assayed genes or proteins can be grouped by biologi…