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ANUPRIYA GOGNA
Author Info
Open Visualization
Name
Affiliation
Papers
ANUPRIYA GOGNA
ECE Department, Indira Gandhi Institute of Technology, GGSIP University, Kashmere Gate, Delhi-110006, India.
22
Collaborators
Citations
PageRank
12
123
9.90
Referers
Referees
References
364
666
358
Search Limit
100
666
Publications (22 rows)
Collaborators (12 rows)
Referers (100 rows)
Referees (100 rows)
Title
Citations
PageRank
Year
Discriminative Autoencoder for Feature Extraction: Application to Character Recognition
1
0.36
2019
Balancing accuracy and diversity in recommendations using matrix completion framework.
6
0.42
2017
Semi-supervised Stacked Label Consistent Autoencoder for Reconstruction and Analysis of Biomedical Signals.
14
0.69
2017
DiABlO: Optimization based design for improving diversity in recommender system.
9
0.44
2017
Deep Dictionary Learning vs Deep Belief Network vs Stacked Autoencoder: An Empirical Analysis.
4
0.42
2016
Kernel L1-Minimization: Application to Kernel Sparse Representation Based Classification.
0
0.34
2016
Nuclear Norm Regularized Randomized Neural Network.
0
0.34
2016
Supervised Learning in Matrix Completion Framework for Recommender System Design.
0
0.34
2016
Stacked Robust Autoencoder for Classification.
1
0.36
2016
Semi Supervised Autoencoder.
3
0.44
2016
A Comprehensive Recommender System Model: Improving Accuracy for Both Warm and Cold Start Users.
10
0.50
2015
Matrix completion incorporating auxiliary information for recommender system design
12
0.48
2015
Design Of Signal-Matched Critically Sampled Fir Rational Filterbank
0
0.34
2015
SVD free matrix completion with online bias correction for Recommender systems
2
0.39
2015
Matrix factorization model using Kacmarz algorithm: Application in sensor localization
0
0.34
2015
Blind Compressive Sensing Framework for Collaborative Filtering
1
0.35
2015
Fast Acquisition for Quantitative MRI Maps: Sparse Recovery from Non-Linear Measurements
0
0.34
2015
Distributed Elastic Net Regularized Blind Compressive Sensing for Recommender System Design.
0
0.34
2014
Split Bregman algorithms for sparse / joint-sparse and low-rank signal recovery: Application in compressive hyperspectral imaging
14
0.63
2014
Matrix Recovery Using Split Bregman
7
0.51
2013
Metaheuristics: review and application.
37
1.20
2013
Comparative analysis of evolutionary algorithms for image enhancement
2
0.37
2012
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