Anupriya Gogna

Publication Activity (10 Years)

Years Active: 2012-2020
Publications (10 Years): 14

Top Topics

Bias Correction

Matrix Completion

Character Recognition

Compressive Sensing

Top Venues

Publications

Anupriya Gogna, Angshul Majumdar
Balancing Accuracy and Diversity in Recommendations using Matrix Completion Framework. CoRR (2020)
Anupriya Gogna, Angshul Majumdar
Discriminative Autoencoder for Feature Extraction: Application to Character Recognition. Neural Process. Lett. 49 (3) (2019)
Anupriya Gogna, Angshul Majumdar, Rabab Ward
Semi-supervised Stacked Label Consistent Autoencoder for Reconstruction and Analysis of Biomedical Signals. CoRR (2019)
Anupriya Gogna, Angshul Majumdar
Discriminative Autoencoder for Feature Extraction: Application to Character Recognition. CoRR (2019)
Anupriya Gogna, Angshul Majumdar
DiABlO: Optimization based design for improving diversity in recommender system. Inf. Sci. 378 (2017)
Anupriya Gogna, Angshul Majumdar, Rabab Kreidieh Ward
Semi-supervised Stacked Label Consistent Autoencoder for Reconstruction and Analysis of Biomedical Signals. IEEE Trans. Biomed. Eng. 64 (9) (2017)
Anupriya Gogna, Angshul Majumdar
Balancing accuracy and diversity in recommendations using matrix completion framework. Knowl. Based Syst. 125 (2017)
Janki Mehta, Kavya Gupta, Anupriya Gogna, Angshul Majumdar, Saket Anand
Stacked Robust Autoencoder for Classification. ICONIP (3) (2016)
Anupriya Gogna, Angshul Majumdar
Fast Acquisition for Quantitative MRI Maps: Sparse Recovery from Non-Linear Measurements. DCC (2016)
Anupriya Gogna, Angshul Majumdar
Nuclear Norm Regularized Randomized Neural Network. ICONIP (2) (2016)
Anupriya Gogna, Angshul Majumdar
Supervised Learning in Matrix Completion Framework for Recommender System Design. COMAD (2016)
Anupriya Gogna, Angshul Majumdar
Semi Supervised Autoencoder. ICONIP (2) (2016)
Anupriya Gogna, Angshul Majumdar
Kernel L1-Minimization: Application to Kernel Sparse Representation Based Classification. ICONIP (2) (2016)
Vanika Singhal, Anupriya Gogna, Angshul Majumdar
Deep Dictionary Learning vs Deep Belief Network vs Stacked Autoencoder: An Empirical Analysis. ICONIP (4) (2016)
Anupriya Gogna, Angshul Majumdar
Fast Acquisition for Quantitative MRI Maps: Sparse Recovery from Non-linear Measurements. CoRR (2015)
Anupriya Gogna, Angshul Majumdar
Matrix completion incorporating auxiliary information for recommender system design. Expert Syst. Appl. 42 (14) (2015)
Anupriya Gogna, Sri Harsha Gade, Anubha Gupta
Design of signal-matched critically sampled FIR rational filterbank. ICASSP (2015)
Anupriya Gogna, Angshul Majumdar
Matrix factorization model using Kacmarz algorithm: Application in sensor localization. DSP (2015)
Anupriya Gogna, Angshul Majumdar
A Comprehensive Recommender System Model: Improving Accuracy for Both Warm and Cold Start Users. IEEE Access 3 (2015)
Anupriya Gogna, Angshul Majumdar
Blind Compressive Sensing Framework for Collaborative Filtering. CoRR (2015)
Anupriya Gogna, Angshul Majumdar
SVD free matrix completion with online bias correction for Recommender systems. ICAPR (2015)
Anupriya Gogna, Ankita Shukla, Hemant Kumar Aggarwal, Angshul Majumdar
Split Bregman algorithms for sparse / joint-sparse and low-rank signal recovery: Application in compressive hyperspectral imaging. ICIP (2014)
Anupriya Gogna, Ankita Shukla, Angshul Majumdar
Matrix Recovery Using Split Bregman. ICPR (2014)
Angshul Majumdar, Anupriya Gogna, Rabab K. Ward
A Low-Rank Matrix Recovery Approach for Energy Efficient EEG Acquisition for a Wireless Body Area Network. Sensors 14 (9) (2014)
Anupriya Gogna, Angshul Majumdar
Distributed Elastic Net Regularized Blind Compressive Sensing for Recommender System Design. COMAD (2014)
Anupriya Gogna, Akash Tayal
Comparative analysis of evolutionary algorithms for image enhancement. CoRR (2013)
Anupriya Gogna, Ankita Shukla, Angshul Majumdar
Matrix recovery using Split Bregman. CoRR (2013)
Anupriya Gogna, Akash Tayal
Metaheuristics: review and application. J. Exp. Theor. Artif. Intell. 25 (4) (2013)
Anupriya Gogna, Akash Tayal
Comparative analysis of evolutionary algorithms for image enhancement. Int. J. Metaheuristics 2 (1) (2012)