Anupriya Gogna

According to our database, Anupriya Gogna authored at least 23 papers between 2012 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

Discriminative Autoencoder for Feature Extraction: Application to Character Recognition.

Anupriya Gogna, Angshul Majumdar

Neural Process. Lett., 2019

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

Balancing accuracy and diversity in recommendations using matrix completion framework.

Anupriya Gogna, Angshul Majumdar

Knowl. Based Syst., 2017

DiABlO: Optimization based design for improving diversity in recommender system.

Anupriya Gogna, Angshul Majumdar

Inf. Sci., 2017

2016

Deep Dictionary Learning vs Deep Belief Network vs Stacked Autoencoder: An Empirical Analysis.

Vanika Singhal, Anupriya Gogna, Angshul Majumdar

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Stacked Robust Autoencoder for Classification.

Janki Mehta, Kavya Gupta, Anupriya Gogna, Angshul Majumdar, Saket Anand

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Nuclear Norm Regularized Randomized Neural Network.

Anupriya Gogna, Angshul Majumdar

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Kernel L1-Minimization: Application to Kernel Sparse Representation Based Classification.

Anupriya Gogna, Angshul Majumdar

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Semi Supervised Autoencoder.

Anupriya Gogna, Angshul Majumdar

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Fast Acquisition for Quantitative MRI Maps: Sparse Recovery from Non-Linear Measurements.

Anupriya Gogna, Angshul Majumdar

Proceedings of the 2016 Data Compression Conference, 2016

Supervised Learning in Matrix Completion Framework for Recommender System Design.

Anupriya Gogna, Angshul Majumdar

Proceedings of the 21st International Conference on Management of Data, 2016

2015

Matrix completion incorporating auxiliary information for recommender system design.

Anupriya Gogna, Angshul Majumdar

Expert Syst. Appl., 2015

Blind Compressive Sensing Framework for Collaborative Filtering.

Anupriya Gogna, Angshul Majumdar

CoRR, 2015

A Comprehensive Recommender System Model: Improving Accuracy for Both Warm and Cold Start Users.

Anupriya Gogna, Angshul Majumdar

IEEE Access, 2015

Matrix factorization model using Kacmarz algorithm: Application in sensor localization.

Anupriya Gogna, Angshul Majumdar

Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015

Design of signal-matched critically sampled FIR rational filterbank.

Anupriya Gogna, Sri Harsha Gade, Anubha Gupta

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

SVD free matrix completion with online bias correction for Recommender systems.

Anupriya Gogna, Angshul Majumdar

Proceedings of the Eighth International Conference on Advances in Pattern Recognition, 2015

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

Matrix Recovery Using Split Bregman.

Anupriya Gogna, Ankita Shukla, Angshul Majumdar

Proceedings of the 22nd International Conference on Pattern Recognition, 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

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Distributed Elastic Net Regularized Blind Compressive Sensing for Recommender System Design.

Anupriya Gogna, Angshul Majumdar

Proceedings of the 20th International Conference on Management of Data, 2014

2013

Metaheuristics: review and application.

Anupriya Gogna, Akash Tayal

J. Exp. Theor. Artif. Intell., 2013

2012

Comparative analysis of evolutionary algorithms for image enhancement.

Anupriya Gogna, Akash Tayal

Int. J. Metaheuristics, 2012