Vijay N. Nair

Affiliations:

University of Michigan, Ann Arbor, MI, USA

According to our database¹, Vijay N. Nair authored at least 40 papers between 1985 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Awards

IEEE Fellow

IEEE Fellow 2000, "For contributions to development of low-power device and integrated circuits.".

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2023

Monotone Tree-Based GAMI Models by Adapting XGBoost.

[BibT_eX]

[DOI]

CoRR, 2023

Document Automation Architectures: Updated Survey in Light of Large Language Models.

[BibT_eX]

[DOI]

Mohammad Ahmadi Achachlouei

Omkar Patil

Tarun Joshi

Vijayan N. Nair

CoRR, 2023

Interpretable Machine Learning based on Functional ANOVA Framework: Algorithms and Comparisons.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Behavior of Hyper-Parameters for Selected Machine Learning Algorithms: An Empirical Investigation.

[BibT_eX]

[DOI]

Anwesha Bhattacharyya

Joel Vaughan

Vijayan N. Nair

CoRR, 2022

Comparing Baseline Shapley and Integrated Gradients for Local Explanation: Some Additional Insights.

[BibT_eX]

[DOI]

CoRR, 2022

Using Model-Based Trees with Boosting to Fit Low-Order Functional ANOVA Models.

[BibT_eX]

[DOI]

Linwei Hu

Jie Chen

Vijayan N. Nair

CoRR, 2022

Quantifying Inherent Randomness in Machine Learning Algorithms.

[BibT_eX]

[DOI]

CoRR, 2022

Interpretable Feature Engineering for Time Series Predictors using Attention Networks.

[BibT_eX]

[DOI]

CoRR, 2022

Performance and Interpretability Comparisons of Supervised Machine Learning Algorithms: An Empirical Study.

[BibT_eX]

[DOI]

CoRR, 2022

Explaining Adverse Actions in Credit Decisions Using Shapley Decomposition.

[BibT_eX]

[DOI]

CoRR, 2022

2021

Document Automation Architectures and Technologies: A Survey.

[BibT_eX]

[DOI]

Mohammad Ahmadi Achachlouei

Omkar Patil

Tarun Joshi

Vijayan N. Nair

CoRR, 2021

Supervised Linear Dimension-Reduction Methods: Review, Extensions, and Comparisons.

[BibT_eX]

[DOI]

CoRR, 2021

Self-interpretable Convolutional Neural Networks for Text Classification.

[BibT_eX]

[DOI]

CoRR, 2021

Bias, Fairness, and Accountability with AI and ML Algorithms.

[BibT_eX]

[DOI]

CoRR, 2021

2020

Recent Trends in the Use of Deep Learning Models for Grammar Error Handling.

[BibT_eX]

[DOI]

Mina Naghshnejad

Tarun Joshi

Vijayan N. Nair

CoRR, 2020

SHAP values for Explaining CNN-based Text Classification Models.

[BibT_eX]

[DOI]

CoRR, 2020

Model Robustness with Text Classification: Semantic-preserving adversarial attacks.

[BibT_eX]

[DOI]

CoRR, 2020

Supervised Machine Learning Techniques: An Overview with Applications to Banking.

[BibT_eX]

[DOI]

CoRR, 2020

Surrogate Locally-Interpretable Models with Supervised Machine Learning Algorithms.

[BibT_eX]

[DOI]

CoRR, 2020

Adaptive Explainable Neural Networks (AxNNs).

[BibT_eX]

[DOI]

CoRR, 2020

2018

Model Interpretation: A Unified Derivative-based Framework for Nonparametric Regression and Supervised Machine Learning.

[BibT_eX]

[DOI]

CoRR, 2018

Explainable Neural Networks based on Additive Index Models.

[BibT_eX]

[DOI]

CoRR, 2018

Locally Interpretable Models and Effects based on Supervised Partitioning (LIME-SUP).

[BibT_eX]

[DOI]

CoRR, 2018

2017

3D stacked embedded component system-in-package for wearable electronic devices.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Radio and Wireless Symposium, 2017

2015

Editorial.

[BibT_eX]

[DOI]

Technometrics, 2015

2014

Discovering Functional Neuronal Connectivity from Serial Patterns in Spike Train Data.

[BibT_eX]

[DOI]

Neural Comput., 2014

2012

Noise Variable Settings in Robust Design Experiments.

[BibT_eX]

[DOI]

Derek Bingham

Vijayan N. Nair

Technometrics, 2012

2011

Predictive modeling of a radiative shock system.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2011

2009

Statistical Inference of Functional Connectivity in Neuronal Networks using Frequent Episodes.

[BibT_eX]

[DOI]

CoRR, 2009

2008

Bayesian Inference for Multivariate Ordinal Data Using Parameter Expansion.

[BibT_eX]

[DOI]

Technometrics, 2008

2007

Graphical Estimators From Probability Plots With Right-Censored Data.

[BibT_eX]

[DOI]

Anupap Somboonsavatdee

Vijayan N. Nair

Ananda Sen

Technometrics, 2007

Special Issue on Statistics in Information Technology.

[BibT_eX]

[DOI]

Vijay N. Nair

Technometrics, 2007

Statistical Aspects of the Analysis of Data Networks.

[BibT_eX]

[DOI]

Technometrics, 2007

2006

Extreme (X-)Testing With Binary Data and Applications to Reliability Demonstration.

[BibT_eX]

[DOI]

David Mease

Vijayan N. Nair

Technometrics, 2006

2005

Local area network analysis using end-to-end delay tomography.

[BibT_eX]

[DOI]

Earl Lawrence

George Michailidis

Vijay N. Nair

SIGMETRICS Perform. Evaluation Rev., 2005

2004

Discussion.

[BibT_eX]

[DOI]

Vijayan N. Nair

Xiao Wang

Technometrics, 2004

Selective Assembly in Manufacturing: Statistical Issues and Optimal Binning Strategies.

[BibT_eX]

[DOI]

David Mease

Vijayan N. Nair

Agus Sudjianto

Technometrics, 2004

2002

Proportional Integral Derivative Charts for Process Monitoring.

[BibT_eX]

[DOI]

Technometrics, 2002

2001

Methods for Identifying Dispersion Effects in Unreplicated Factorial Experiments - A Critical Analysis and Proposed Strategies.

[BibT_eX]

[DOI]

William A. Brenneman

Vijayan N. Nair

Technometrics, 2001

1985

Optimal Sequential Selection of Secretaries.

[BibT_eX]

[DOI]

Math. Oper. Res., 1985

Vijay N. Nair

Awards

IEEE Fellow

Timeline

Legend:

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Online presence:

On csauthors.net:

Bibliography

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