Comparative analysis of evolutionary algorithms for image enhancement. - Anupriya Gogna; Akash Tayal (Int. J. Metaheuristics, 2012)

Metaheuristics: review and application. - Anupriya Gogna; Akash Tayal (J. Exp. Theor. Artif. Intell., 2013)

Distributed Elastic Net Regularized Blind Compressive Sensing for Recommender System Design. - Anupriya Gogna; Angshul Majumdar (COMAD, 2014)

Split Bregman algorithms for sparse / joint-sparse and low-rank signal recovery: Application in compressive hyperspectral imaging. - Anupriya Gogna; Ankita Shukla; Hemant Kumar Aggarwal; Angshul Majumdar (ICIP, 2014)

Matrix Recovery Using Split Bregman. - Anupriya Gogna; Ankita Shukla; Angshul Majumdar (ICPR, 2014)

A Low-Rank Matrix Recovery Approach for Energy Efficient EEG Acquisition for a Wireless Body Area Network. - Angshul Majumdar; Anupriya Gogna; Rabab K. Ward (Sensors, 2014)

SVD free matrix completion with online bias correction for Recommender systems. - Anupriya Gogna; Angshul Majumdar (ICAPR, 2015)

Design of signal-matched critically sampled FIR rational filterbank. - Anupriya Gogna; Sri Harsha Gade; Anubha Gupta (ICASSP, 2015)

Matrix factorization model using Kacmarz algorithm: Application in sensor localization. - Anupriya Gogna; Angshul Majumdar (DSP, 2015)

A Comprehensive Recommender System Model: Improving Accuracy for Both Warm and Cold Start Users. - Anupriya Gogna; Angshul Majumdar (IEEE Access, 2015)

Blind Compressive Sensing Framework for Collaborative Filtering. - Anupriya Gogna; Angshul Majumdar (CoRR, 2015)

Matrix completion incorporating auxiliary information for recommender system design. - Anupriya Gogna; Angshul Majumdar (Expert Syst. Appl., 2015)

Supervised Learning in Matrix Completion Framework for Recommender System Design. - Anupriya Gogna; Angshul Majumdar (COMAD, 2016)

Fast Acquisition for Quantitative MRI Maps: Sparse Recovery from Non-Linear Measurements. - Anupriya Gogna; Angshul Majumdar (DCC, 2016)

Semi Supervised Autoencoder. - Anupriya Gogna; Angshul Majumdar (ICONIP (2), 2016)

Kernel L1-Minimization: Application to Kernel Sparse Representation Based Classification. - Anupriya Gogna; Angshul Majumdar (ICONIP (2), 2016)

Nuclear Norm Regularized Randomized Neural Network. - Anupriya Gogna; Angshul Majumdar (ICONIP (2), 2016)

Stacked Robust Autoencoder for Classification. - Janki Mehta; Kavya Gupta; Anupriya Gogna; Angshul Majumdar; Saket Anand (ICONIP (3), 2016)

Deep Dictionary Learning vs Deep Belief Network vs Stacked Autoencoder: An Empirical Analysis. - Vanika Singhal; Anupriya Gogna; Angshul Majumdar (ICONIP (4), 2016)

DiABlO: Optimization based design for improving diversity in recommender system. - Anupriya Gogna; Angshul Majumdar (Inf. Sci., 2017)

Balancing accuracy and diversity in recommendations using matrix completion framework. - Anupriya Gogna; Angshul Majumdar (Knowl. Based Syst., 2017)

Semi-supervised Stacked Label Consistent Autoencoder for Reconstruction and Analysis of Biomedical Signals. - Anupriya Gogna; Angshul Majumdar; Rabab Kreidieh Ward (IEEE Trans. Biomed. Eng., 2017)

Discriminative Autoencoder for Feature Extraction: Application to Character Recognition. - Anupriya Gogna; Angshul Majumdar (Neural Process. Lett., 2019)