Vijayan N. Nair

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All published works

Action	Title	Year	Authors
+ PDF Chat	Assessing Robustness of Machine Learning Models using Covariate Perturbations	2024	Arun Prakash R Anwesha Bhattacharyya Joel Vaughan Vijayan N. Nair
+	Doksum, Kjell A.	2023	Vijayan N. Nair
+	Interpretable Machine Learning based on Functional ANOVA Framework: Algorithms and Comparisons	2023	Linwei Hu Vijayan N. Nair Agus Sudjianto Aijun Zhang Jie Chen
+	Using Markov Boundary Approach for Interpretable and Generalizable Feature Selection	2023	Anwesha Bhattacharyya Yaqun Wang Joel Vaughan Vijayan N. Nair
+	Document Automation Architectures: Updated Survey in Light of Large Language Models	2023	Mohammad Ahmadi Achachlouei Omkar Patil Tarun Joshi Vijayan N. Nair
+	Monotone Tree-Based GAMI Models by Adapting XGBoost	2023	Linwei Hu Soroush Aramideh Jie Chen Vijayan N. Nair
+	Explaining Adverse Actions in Credit Decisions Using Shapley Decomposition	2022	Vijayan N. Nair Tianshu Feng Linwei Hu Zach Zhang Jie Chen Agus Sudjianto
+	Performance and Interpretability Comparisons of Supervised Machine Learning Algorithms: An Empirical Study	2022	Alice J. Liu Linwei Hu Jie Chen Vijayan N. Nair
+	Quantifying Inherent Randomness in Machine Learning Algorithms	2022	Soham Raste Rahul Singh Joel Vaughan Vijayan N. Nair
+	Using Model-Based Trees with Boosting to Fit Low-Order Functional ANOVA Models	2022	Linwei Hu Jie Chen Vijayan N. Nair
+	Comparing Baseline Shapley and Integrated Gradients for Local Explanation: Some Additional Insights	2022	Tianshu Feng Zhipu Zhou Joshi Tarun Vijayan N. Nair
+	Interpretable Feature Engineering for Time Series Predictors using Attention Networks	2022	Tianjie Wang Jie Chen Joel Vaughan Vijayan N. Nair
+	Behavior of Hyper-Parameters for Selected Machine Learning Algorithms: An Empirical Investigation	2022	Anwesha Bhattacharyya Joel Vaughan Vijayan N. Nair
+ PDF Chat	Supervised Machine Learning Techniques: An Overview with Applications to Banking	2021	Linwei Hu Jie Chen Joel Vaughan Soroush Aramideh Hanyu Yang Kelly Wang Agus Sudjianto Vijayan N. Nair
+	Bias, Fairness, and Accountability with AI and ML Algorithms	2021	Nengfeng Zhou Zach Zhang Vijayan N. Nair Harsh Singhal Jie Chen Agus Sudjianto
+	Self-interpretable Convolutional Neural Networks for Text Classification	2021	Wei Zhao Rahul Singh Tarun Joshi Agus Sudjianto Vijayan N. Nair
+	Supervised Linear Dimension-Reduction Methods: Review, Extensions, and Comparisons	2021	Shaojie Xu Joel Vaughan Jie Chen Agus Sudjianto Vijayan N. Nair
+	Document Automation Architectures and Technologies: A Survey	2021	Mohammad Ahmadi Achachlouei Omkar Patil Tarun Joshi Vijayan N. Nair
+	Model Robustness with Text Classification: Semantic-preserving adversarial attacks.	2020	Rahul Singh Tarun Joshi Vijayan N. Nair Agus Sudjianto
+	Semantics-preserving adversarial attacks in NLP	2020	Rahul Singh Tarun Joshi Vijayan N. Nair Agus Sudjianto
+	Supervised Machine Learning Techniques: An Overview with Applications to Banking.	2020	Linwei Hu Jie Chen Joel Vaughan Hanyu Yang Kelly Wang Agus Sudjianto Vijayan N. Nair
+	Adaptive Explainable Neural Networks (AxNNs)	2020	Jie Chen Joel Vaughan Vijayan N. Nair Agus Sudjianto
+	Surrogate Locally-Interpretable Models with Supervised Machine Learning Algorithms	2020	Linwei Hu Jie Chen Vijayan N. Nair Agus Sudjianto
+	SHAP values for Explaining CNN-based Text Classification Models	2020	Wei Zhao Tarun Joshi Vijayan N. Nair Agus Sudjianto
+	Recent Trends in the Use of Deep Learning Models for Grammar Error Handling	2020	Mina Naghshnejad Tarun Joshi Vijayan N. Nair
+	Supervised Machine Learning Techniques: An Overview with Applications to Banking	2020	Linwei Hu Jie Chen Joel Vaughan Hanyu Yang Kelly Wang Agus Sudjianto Vijayan N. Nair
+	Model Robustness with Text Classification: Semantic-preserving adversarial attacks	2020	Rahul Singh Tarun Joshi Vijayan N. Nair Agus Sudjianto
+	Locally Interpretable Models and Effects based on Supervised Partitioning (LIME-SUP)	2018	Linwei Hu Jie Chen Vijayan N. Nair Agus Sudjianto
+	Explainable Neural Networks based on Additive Index Models	2018	Joel Vaughan Agus Sudjianto Erind Brahimi Jie Chen Vijayan N. Nair
+	Model Interpretation: A Unified Derivative-based Framework for Nonparametric Regression and Supervised Machine Learning	2018	Xiaoyu Liu Jie Chen Vijayan N. Nair Agus Sudjianto
+ PDF Chat	Extremal Depth for Functional Data and Applications	2015	Naveen N. Narisetty Vijayan N. Nair
+	Extremal Depth for Functional Data and Applications	2015	Naveen N. Narisetty Vijayan N. Nair
+	Extremal Depth for Functional Data and Applications	2015	Naveen N. Narisetty Vijayan N. Nair
+	Parametric inference for time‐to‐failure in multi‐state semi‐Markov models: A comparison of marginal and process approaches	2011	Yang Yang Vijayan N. Nair
+	Using high power lasers to create radiative shock waves	2009	R. P. Drake F. W. Doss B. Fryxell Michael Grosskopf James Paul Holloway B. van der Holst C. M. Huntington Carolyn Kuranz E. S. Myra Vijayan N. Nair
+	Bayesian Inference for Multivariate Ordinal Data Using Parameter Expansion	2008	Earl Lawrence Derek Bingham Chuanhai Liu Vijayan N. Nair
+	Graphical Estimators From Probability Plots With Right-Censored Data	2007	Anupap Somboonsavatdee Vijayan N. Nair Ananda Sen
+ PDF Chat	Statistical inverse problems in active network tomography	2007	Earl Lawrence George Michailidis Vijayan N. Nair
+ PDF Chat	Comment: Monitoring Networked Applications With Incremental Quantile Estimation	2006	Earl Lawrence George Michailidis Vijayan N. Nair
+ PDF Chat	Network Delay Tomography using Flexicast Experiments	2006	Earl Lawrence George Michailidis Vijayan N. Nair
+	Unique Optimal Partitions of Distributions and Connections to Hazard Rates and Stochastic Ordering	2006	David Mease Vijayan N. Nair
+	Edge Detection, Spatial Smoothing, and Image Reconstruction With Partially Observed Multivariate Data	2003	Sarat C. Dass Vijayan N. Nair
+	Methods for Identifying Dispersion Effects in Unreplicated Factorial Experiments	2001	William A. Brenneman Vijayan N. Nair
+	Bayesian Inference for Some Mixture Problems in Quality and Reliability	2001	Vijayan N. Nair Boxin Tang Li-An Xu
+	Monitoring Wafer Map Data from Integrated Circuit Fabrication Processes for Spatially Clustered Defects	1997	Mark Hansen Vijayan N. Nair David J. Friedman
+	Monitoring Wafer Map Data From Integrated Circuit Fabrication Processes for Spatially Clustered Defects	1997	Mark Hansen Vijayan N. Nair David J. Friedman
+	Model-free estimation of defect clustering in integrated circuit fabrication	1997	David J. Friedman Mark Hansen Vijayan N. Nair David A. James
+	Methods for Assessing Distributional Assumptions in One- and Two-Sample Problems	1994	Vijayan N. Nair Anne E. Freeny
+	Bounds for Reliability Estimation under Dependent Censoring	1993	Vijayan N. Nair
+ PDF Chat	Nonparametric Inference Under Biased Sampling from a Finite Population	1992	Peter J. Bickel Vijayan N. Nair Paul C. C. Wang
+	Discussion	1990	Vijayan N. Nair
+	Maximum Likelihood Estimation under a Successive Sampling Discovery Model	1989	Vijayan N. Nair Paul C. C. Wang
+	Maximum Likelihood Estimation Under a Successive Sampling Discovery Model	1989	Vijayan N. Nair Paul C. C. Wang
+	On a zero-crossing probability	1989	Colin L. Mallows Vijayan N. Nair
+	Testing in Industrial Experiments with Ordered Categorical Data	1989	Vijayan N. Nair
+	Analyzing Dispersion Effects from Replicated Factorial Experiments	1988	Vijayan N. Nair Daryl Pregibon
+	Analyzing Dispersion Effects From Replicated Factorial Experiments	1988	Vijayan N. Nair Daryl Pregibon
+	Discussion	1988	Vijayan N. Nair Daryl Pregibon
+	A Unique Unbiased Estimator with an Interesting Property	1987	Colin L. Mallows Vijayan N. Nair
+	A Unique Unbiased Estimator with an Interesting Property	1987	Colin L. Mallows Vijayan N. Nair
+	Chi-Squared-Type Tests for Ordered Alternatives in Contingency Tables	1987	Vijayan N. Nair
+	Chi-Squared-Type Tests for Ordered Alternatives in Contingency Tables	1987	Vijayan N. Nair
+ PDF Chat	On the Number of Crossings of Empirical Distribution Functions	1986	Vijayan N. Nair Lawrence A. Shepp Michael J. Klass
+	Some new ideas in the analysis of screening designs - Discussion	1985	Vijayan N. Nair Michael Frenklach
+	On the Behavior of Some Estimators from Probability Plots	1984	Vijayan N. Nair
+	On the Behavior of Some Estimators from Probability Plots	1984	Vijayan N. Nair
+	Confidence Bands for Survival Functions With Censored Data: A Comparative Study	1984	Vijayan N. Nair
+	Confidence Bands for Survival Functions with Censored Data: A Comparative Study	1984	Vijayan N. Nair
+	Some extensions of anova techniques to location-scale models	1982	Vijayan N. Nair
+	Plots and tests for goodness of fit with randomly censored data	1981	Vijayan N. Nair

Common Coauthors

Coauthor	Papers Together
Agus Sudjianto	17
Joel Vaughan	11
Linwei Hu	8
Tarun Joshi	7
Jie Chen	6
Earl Lawrence	4
Hanyu Yang	3
David J. Friedman	3
Daryl Pregibon	3
Naveen N. Narisetty	3
Kelly Wang	3
George Michailidis	3
Anwesha Bhattacharyya	3
Mark Hansen	3
Colin L. Mallows	3
Rahul Singh	2
Rahul Singh	2
Derek Bingham	2
Omkar Patil	2
Mohammad Ahmadi Achachlouei	2
Jie Chen	2
Tianshu Feng	2
Wei Zhao	2
Zach Zhang	2
Linwei Hu	2
Soroush Aramideh	2
Jie Chen	2
Paul C. C. Wang	2
Nengfeng Zhou	1
Marvin L. Adams	1
Sarat C. Dass	1
David Mease	1
Michael Frenklach	1
G. Tóth	1
Erind Brahimi	1
Zhipu Zhou	1
Bani K. Mallick	1
Carolyn Kuranz	1
И. В. Соколов	1
Jie Chen	1
Jie Chen	1
Jie Chen	1
Jie Chen	1
Yang Yang	1
Jie Chen	1
Xiaoyu Liu	1
Aijun Zhang	1
Rahul Singh	1
Tarun Joshi	1
Boxin Tang	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	A new derivative based importance criterion for groups of variables and its link with the global sensitivity indices	2010	I. M. Sobol Sergei Kucherenko	7
+ PDF Chat	Visualizing the Effects of Predictor Variables in Black Box Supervised Learning Models	2020	Daniel W. Apley Jingyu Zhu	6
+	Predictive learning via rule ensembles	2008	Jerome H. Friedman Bogdan Popescu	5
+ PDF Chat	Layer-Wise Relevance Propagation for Neural Networks with Local Renormalization Layers	2016	Alexander Binder Grégoire Montavon Sebastian Lapuschkin Klaus‐Robert Müller Wojciech Samek	4
+ PDF Chat	Distribution-Free Predictive Inference for Regression	2017	Jing Lei Max G’Sell Alessandro Rinaldo Ryan J. Tibshirani Larry Wasserman	4
+	Consistent Individualized Feature Attribution for Tree Ensembles.	2018	Scott Lundberg Gabriel Erion Su‐In Lee	4
+	Explainable Neural Networks based on Additive Index Models	2018	Joel Vaughan Agus Sudjianto Erind Brahimi Jie Chen Vijayan N. Nair	4
+	Axiomatic Attribution for Deep Networks	2017	Mukund Sundararajan Ankur Taly Qiqi Yan	4
+	Convolutional Neural Networks for Sentence Classification	2014	Yoon Kim	4
+ PDF Chat	Projection Pursuit Regression	1981	Jerome H. Friedman Werner Stuetzle	4
+ PDF Chat	Peeking Inside the Black Box: Visualizing Statistical Learning With Plots of Individual Conditional Expectation	2014	Alex Goldstein Adam Kapelner Justin Bleich Emil Pitkin	4
+	Learning Important Features Through Propagating Activation Differences	2017	Avanti Shrikumar Peyton Greenside Anshul Kundaje	4
+	Locally Interpretable Models and Effects based on Supervised Partitioning (LIME-SUP)	2018	Linwei Hu Jie Chen Vijayan N. Nair Agus Sudjianto	4
+ PDF Chat	A Large Sample Study of the Life Table and Product Limit Estimates Under Random Censorship	1974	N. E. Breslow John Crowley	4
+	An Introduction to Probability Theory.	1986	Bert Fristedt P. A. P. Moran	3
+	Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm	1977	A. P. Dempster N. M. Laird Donald B. Rubin	3
+	The Analysis of Variance	1960	Henry Scheffe	3
+	Estimation of Finite Population Properties When Sampling is without Replacement and Proportional to Magnitude	1986	G. Andreatta Gordon M. Kaufman	3
+	Derivative based global sensitivity measures and their link with global sensitivity indices	2009	I. M. Sobol Sergei Kucherenko	3
+ PDF Chat	Empirical Probability Plots and Statistical Inference for Nonlinear Models in the Two-Sample Case	1974	Kjell A. Doksum	3
+	Learning Global Additive Explanations for Neural Nets Using Model Distillation	2018	Sarah Tan Rich Caruana Giles Hooker Paul Koch Albert Gordo	3
+ PDF Chat	Diagnostics for heteroscedasticity in regression	1983	R. Dennis Cook Sanford Weisberg	3
+	Confidence bands for a survival curve from censored data	1980	William J. Hall Jon A. Wellner	3
+	The Interpretation of Statistical Maps	1948	P. A. P. Moran	3
+	Regression Models for Ordinal Data	1980	Peter McCullagh	3
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	3
+	Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates	2001	I. M. Sobol	3
+ PDF Chat	Nonparametric Estimation in the Presence of Length Bias	1982	Y. Vardi	3
+	On the theory of order statistics	1953	A. Rényi	3
+ PDF Chat	Bootstrap Methods: Another Look at the Jackknife	1979	B. Efron	3
+	U-Statistics: Theory and Practice.	1992	Deborah Nolan A. J. Lee	3
+ PDF Chat	Numerical Inversion of Laplace Transforms Using a Fourier Series Approximation	1976	Kenny S. Crump	2
+	Double Exponential Families and Their Use in Generalized Linear Regression	1986	Bradley Efron	2
+	The Impact of Clustered Defect Distributions in IC Fabrication	1989	Susan L. Albin David J. Friedman	2
+ PDF Chat	On the Convergence Properties of the EM Algorithm	1983	Changbao Wu	2
+ PDF Chat	A half-region depth for functional data	2010	Sara López‐Pintado Juan Romo	2
+	A Poissonness Plot	1980	David C. Hoaglin	2
+	Notions of Limiting<i>P</i>Values Based on Data Depth and Bootstrap	1997	Regina Y. Liu Kesar Singh	2
+	Modelling Variance Heterogeneity in Normal Regression Using GLIM	1987	Murray Aitkin	2
+	The two sample problem with censored data	1967	B. Efron	2
+ PDF Chat	Accurate intelligible models with pairwise interactions	2013	Yin Lou Rich Caruana Johannes Gehrke Giles Hooker	2
+ PDF Chat	Multivariate functional outlier detection	2015	Mia Hubert Peter J. Rousseeuw Pieter Segaert	2
+	Stochastic gradient boosting	2002	Jerome H. Friedman	2
+	Use of Half-Normal Plots in Interpreting Factorial Two-Level Experiments	1959	Cuthbert Daniel	2
+	Size-Biased Sampling	1972	Richard L. Scheaffer	2
+	Robust Locally Weighted Regression and Smoothing Scatterplots	1979	William S. Cleveland	2
+ PDF Chat	Breakdown Properties of Location Estimates Based on Halfspace Depth and Projected Outlyingness	1992	David L. Donoho Miriam Gasko	2
+	On the use of the bootstrap for estimating functions with functional data	2005	Antonio Cuevas Manuel Febrero–Bande Ricardo Fraiman	2
+	Goodness of Link Tests for Generalized Linear Models	1980	Daryl Pregibon	2
+	Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images	1984	Stuart Geman Donald Geman	2