Backfitting neural networks. - Anil Kumar Ghosh 001; Smarajit Bose (Comput. Stat., 2004)

Feature Extraction for Nonlinear Classification. - Anil Kumar Ghosh 001; Smarajit Bose (PReMI, 2005)

On Visualization and Aggregation of Nearest Neighbor Classifiers. - Anil Kumar Ghosh 001; Probal Chaudhuri; C. A. Murthy (IEEE Trans. Pattern Anal. Mach. Intell., 2005)

On optimum choice of k. - Anil Kumar Ghosh 001 (Comput. Stat. Data Anal., 2006)

Classification Using Kernel Density Estimates - Multiscale Analysis and Visualization. - Anil Kumar Ghosh 001; Probal Chaudhuri; Debasis Sengupta (Technometrics, 2006)

Multiscale Classification Using Nearest Neighbor Density Estimates. - Anil Kumar Ghosh 001; Probal Chaudhuri; C. A. Murthy (IEEE Trans. Syst. Man Cybern. Part B, 2006)

Feature Extraction for Classification Using Statistical Networks. - Anil Kumar Ghosh 001; Smarajit Bose (Int. J. Pattern Recognit. Artif. Intell., 2007)

Classification Based on Hybridization of Parametric and Nonparametric Classifiers. - Probal Chaudhuri; Anil Kumar Ghosh 001; Hannu Oja (IEEE Trans. Pattern Anal. Mach. Intell., 2009)

Secure Position Verification for Wireless Sensor Networks in Noisy Channels. - Partha Sarathi Mandal 001; Anil Kumar Ghosh 001 (ADHOC-NOW, 2011)

Bayesian multiscale smoothing in supervised and semi-supervised kernel discriminant analysis. - Subhadeep Mukhopadhyay 001; Anil Kumar Ghosh 001 (Comput. Stat. Data Anal., 2011)

On hybrid classification using model assisted posterior estimates. - Anil Kumar Ghosh 001; Fred Godtliebsen (Pattern Recognit., 2012)

A probabilistic approach for semi-supervised nearest neighbor classification. - Anil Kumar Ghosh 001 (Pattern Recognit. Lett., 2012)

Using Daikon to Prioritize and Group Unit Bugs. - Nehul Jain; Saikat Dutta 001; Ansuman Banerjee; Anil Kumar Ghosh 001; Lihua Xu; Huibiao Zhu (FACS, 2013)

A Statistical Approach towards Secure Location Verification in noisy Wireless channels. - Partha Sarathi Mandal 001; Anil Kumar Ghosh 001 (Int. J. Found. Comput. Sci., 2014)

A nonparametric two-sample test applicable to high dimensional data. - Munmun Biswas; Anil Kumar Ghosh 001 (J. Multivar. Anal., 2014)

On high dimensional two-sample tests based on nearest neighbors. - Pronoy K. Mondal; Munmun Biswas; Anil Kumar Ghosh 001 (J. Multivar. Anal., 2015)

Tests for statistical significance of a treatment effect in the presence of hidden sub-populations. - Bikram Karmakar; Kumaresh Dhara; Kushal Kumar Dey; Analabha Basu; Anil Kumar Ghosh 001 (Stat. Methods Appl., 2015)

Multi-scale Classification using Localized Spatial Depth. - Subhajit Dutta; Soham Sarkar; Anil Kumar Ghosh 001 (J. Mach. Learn. Res., 2016)

On some transformations of high dimension, low sample size data for nearest neighbor classification. - Subhajit Dutta; Anil Kumar Ghosh 001 (Mach. Learn., 2016)

High dimensional nearest neighbor classification based on mean absolute differences of inter-point distances. - Arnab K. Pal; Pronoy K. Mondal; Anil Kumar Ghosh 001 (Pattern Recognit. Lett., 2016)

Some high-dimensional one-sample tests based on functions of interpoint distances. - Enakshi Saha; Soham Sarkar; Anil Kumar Ghosh 001 (J. Multivar. Anal., 2017)

Some Multivariate Tests of Independence Based on Ranks of Nearest Neighbors. - Soham Sarkar; Anil Kumar Ghosh 001 (Technometrics, 2018)

On some graph-based two-sample tests for high dimension, low sample size data. - Soham Sarkar; Rahul Biswas; Anil Kumar Ghosh 001 (Mach. Learn., 2020)

On Perfect Clustering of High Dimension, Low Sample Size Data. - Soham Sarkar; Anil Kumar Ghosh 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

On some consistent tests of mutual independence among several random vectors of arbitrary dimensions. - Angshuman Roy; Soham Sarkar; Anil Kumar Ghosh 001; Alok Goswami (Stat. Comput., 2020)

On Generalizations of Some Distance Based Classifiers for HDLSS Data. - Sarbojit Roy; Soham Sarkar; Subhajit Dutta; Anil Kumar Ghosh 001 (J. Mach. Learn. Res., 2022)

Some clustering-based exact distribution-free k-sample tests applicable to high dimension, low sample size data. - Biplab Paul; Shyamal K. De; Anil Kumar Ghosh 001 (J. Multivar. Anal., 2022)

On high-dimensional modifications of the nearest neighbor classifier. - Annesha Ghosh; Bilol Banerjee; Anil Kumar Ghosh 001 (CoRR, 2024)

On Exact Feature Screening in Ultrahigh-Dimensional Binary Classification. - Sarbojit Roy; Soham Sarkar; Subhajit Dutta; Anil Kumar Ghosh 001 (J. Comput. Graph. Stat., 2024)

Classification using global and local Mahalanobis distances. - Annesha Ghosh; Anil Kumar Ghosh 001; Rita SahaRay; Soham Sarkar (J. Multivar. Anal., 2025)