Tapabrata Maiti

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 26

Top Topics

Feature Selection

Top Venues

Stat. Anal. Data Min.

Neural Networks

Publications

Arkaprabha Ganguli, Tapabrata Maiti, David Todem
Error-controlled feature selection for ultrahigh-dimensional and highly correlated feature space using deep learning. Stat. Anal. Data Min. 17 (2) (2024)
Minwoo Kim, Shrijita Bhattacharya, Tapabrata Maiti
Statistically Valid Variational Bayes Algorithm for Ising Model Parameter Estimation. J. Comput. Graph. Stat. 33 (1) (2024)
Zihuan Liu, Shrijita Bhattacharya, Tapabrata Maiti
Variational Bayes Ensemble Learning Neural Networks With Compressed Feature Space. IEEE Trans. Neural Networks Learn. Syst. 35 (1) (2024)
Shrijita Bhattacharya, Zihuan Liu, Tapabrata Maiti
Comprehensive study of variational Bayes classification for dense deep neural networks. Stat. Comput. 34 (1) (2024)
Pratim Guha Niyogi, Martin A. Lindquist, Tapabrata Maiti
A Tensor Based Varying-Coefficient Model for Multi-Modal Neuroimaging Data Analysis. IEEE Trans. Signal Process. 72 (2024)
Abdullah Karaaslanli, Satabdi Saha, Tapabrata Maiti, Selin Aviyente
Kernelized multiview signed graph learning for single-cell RNA sequencing data. BMC Bioinform. 24 (1) (2023)
Abdullah Karaaslanli, Satabdi Saha, Tapabrata Maiti, Selin Aviyente
Multiple Signed Graph Learning for Gene Regulatory Network Inference. ICASSP (2023)
Sanket R. Jantre, Shrijita Bhattacharya, Tapabrata Maiti
Layer adaptive node selection in Bayesian neural networks: Statistical guarantees and implementation details. Neural Networks 167 (2023)
Vojtech Kejzlar, Tapabrata Maiti
Variational inference with vine copulas: an efficient approach for Bayesian computer model calibration. Stat. Comput. 33 (1) (2023)
Sanket R. Jantre, Shrijita Bhattacharya, Tapabrata Maiti
A comprehensive study of spike and slab shrinkage priors for structurally sparse Bayesian neural networks. CoRR (2023)
Peide Li, Seyyid Emre Sofuoglu, Selin Aviyente, Tapabrata Maiti
Coupled support tensor machine classification for multimodal neuroimaging data. Stat. Anal. Data Min. 15 (6) (2022)
Peide Li, Seyyid Emre Sofuoglu, Tapabrata Maiti, Selin Aviyente
Coupled Support Tensor Machine Classification for Multimodal Neuroimaging Data. CoRR (2022)
Sanket Jantre, Sandeep Madireddy, Shrijita Bhattacharya, Tapabrata Maiti, Prasanna Balaprakash
Sequential Bayesian Neural Subnetwork Ensembles. CoRR (2022)
Abdullah Karaaslanli, Satabdi Saha, Selin Aviyente, Tapabrata Maiti
scSGL: kernelized signed graph learning for single-cell gene regulatory network inference. Bioinform. 38 (11) (2022)
Arkaprabha Ganguli, Tapabrata Maiti
Feature Selection integrated Deep Learning for Ultrahigh Dimensional and Highly Correlated Feature Space. CoRR (2022)
Peide Li, Rejaul Karim, Tapabrata Maiti
TEC: Tensor Ensemble Classifier for Big Data. CoRR (2021)
Shrijita Bhattacharya, Tapabrata Maiti
Statistical foundation of Variational Bayes neural networks. Neural Networks 137 (2021)
Vojtech Kejzlar, Mookyong Son, Shrijita Bhattacharya, Tapabrata Maiti
A fast and calibrated computer model emulator: an empirical Bayes approach. Stat. Comput. 31 (4) (2021)
Sanket Jantre, Shrijita Bhattacharya, Tapabrata Maiti
Layer Adaptive Node Selection in Bayesian Neural Networks: Statistical Guarantees and Implementation Details. CoRR (2021)
Shrijita Bhattacharya, Tapabrata Maiti
Statistical Foundation of Variational Bayes Neural Networks. CoRR (2020)
Kaixu Yang, Tapabrata Maiti
Statistical Aspects of High-Dimensional Sparse Artificial Neural Network Models. Mach. Learn. Knowl. Extr. 2 (1) (2020)
Shrijita Bhattacharya, Zihuan Liu, Tapabrata Maiti
Variational Bayes Neural Network: Posterior Consistency, Classification Accuracy and Computational Challenges. CoRR (2020)
Zihuan Liu, Tapabrata Maiti, Andrew R. Bender
A Role for Prior Knowledge in Statistical Classification of the Transition from MCI to Alzheimer's Disease. CoRR (2020)
Guiling Shi, Chae Young Lim, Tapabrata Maiti
Bayesian model selection for generalized linear models using non-local priors. Comput. Stat. Data Anal. 133 (2019)
Liangliang Zhang, Zhenxiang Jiang, Jongeun Choi, Chae Young Lim, Tapabrata Maiti, Seungik Baek
Patient-Specific Prediction of Abdominal Aortic Aneurysm Expansion Using Bayesian Calibration. IEEE J. Biomed. Health Informatics 23 (6) (2019)
Wenning Feng, Chae Young Lim, Tapabrata Maiti, Zhen Zhang
Spatial regression and estimation of disease risks: A clustering-based approach. Stat. Anal. Data Min. 9 (6) (2016)
Huan N. Do, Jongeun Choi, Chae Young Lim, Tapabrata Maiti
Appearance-based localization using Group LASSO regression with an indoor experiment. AIM (2015)
Yunfei Xu, Jongeun Choi, Sarat C. Dass, Tapabrata Maiti
Efficient Bayesian spatial prediction with mobile sensor networks using Gaussian Markov random fields. Autom. 49 (12) (2013)
Yunfei Xu, Jongeun Choi, Sarat C. Dass, Tapabrata Maiti
Sequential Bayesian Prediction and Adaptive Sampling Algorithms for Mobile Sensor Networks. IEEE Trans. Autom. Control. 57 (8) (2012)
Yunfei Xu, Jongeun Choi, Sarat C. Dass, Tapabrata Maiti
A unified Bayesian approach for prediction and detection using mobile sensor networks. CDC (2012)
Yunfei Xu, Jongeun Choi, Sarat C. Dass, Tapabrata Maiti
Efficient Bayesian spatial prediction with mobile sensor networks using Gaussian Markov random fields. ACC (2012)
Martin J. Aryee, José A. Gutiérrez-Pabello, Igor Kramnik, Tapabrata Maiti, John Quackenbush
An improved empirical bayes approach to estimating differential gene expression in microarray time-course data: BETR (Bayesian Estimation of Temporal Regulation). BMC Bioinform. 10 (2009)
Tathagata Banerjee, Tapabrata Maiti, Pushpal Mukhopadhyay
Classification of pathological stage of prostate cancer patients using penalized splines. Comput. Stat. Data Anal. 51 (2) (2006)