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Anupriya Gogna
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2020 – today
- 2020
- [i7]Anupriya Gogna, Angshul Majumdar:
Balancing Accuracy and Diversity in Recommendations using Matrix Completion Framework. CoRR abs/2001.04349 (2020)
2010 – 2019
- 2019
- [j9]Anupriya Gogna, Angshul Majumdar
:
Discriminative Autoencoder for Feature Extraction: Application to Character Recognition. Neural Process. Lett. 49(3): 1723-1735 (2019) - [i6]Anupriya Gogna, Angshul Majumdar, Rabab Ward:
Semi-supervised Stacked Label Consistent Autoencoder for Reconstruction and Analysis of Biomedical Signals. CoRR abs/1912.12127 (2019) - [i5]Anupriya Gogna, Angshul Majumdar:
Discriminative Autoencoder for Feature Extraction: Application to Character Recognition. CoRR abs/1912.12131 (2019) - 2017
- [j8]Anupriya Gogna
DiABlO: Optimization based design for improving diversity in recommender system. Inf. Sci. 378: 59-74 (2017) - [j7]Anupriya Gogna, Angshul Majumdar:
Balancing accuracy and diversity in recommendations using matrix completion framework. Knowl. Based Syst. 125: 83-95 (2017) - [j6]Anupriya Gogna, Angshul Majumdar
Semi-supervised Stacked Label Consistent Autoencoder for Reconstruction and Analysis of Biomedical Signals. IEEE Trans. Biomed. Eng. 64(9): 2196-2205 (2017) - 2016
- [c13]Anupriya Gogna, Angshul Majumdar:
Supervised Learning in Matrix Completion Framework for Recommender System Design. COMAD 2016: 35-46 - [c12]Anupriya Gogna, Angshul Majumdar:
Fast Acquisition for Quantitative MRI Maps: Sparse Recovery from Non-Linear Measurements. DCC 2016: 597 - [c11]Anupriya Gogna, Angshul Majumdar:
Semi Supervised Autoencoder. ICONIP (2) 2016: 82-89 - [c10]Anupriya Gogna, Angshul Majumdar:
Kernel L1-Minimization: Application to Kernel Sparse Representation Based Classification. ICONIP (2) 2016: 136-143 - [c9]Anupriya Gogna, Angshul Majumdar:
Nuclear Norm Regularized Randomized Neural Network. ICONIP (2) 2016: 144-151 - [c8]Vanika Singhal, Anupriya Gogna, Angshul Majumdar:
Deep Dictionary Learning vs Deep Belief Network vs Stacked Autoencoder: An Empirical Analysis. ICONIP (4) 2016: 337-344 - [c7]Janki Mehta, Kavya Gupta, Anupriya Gogna, Angshul Majumdar, Saket Anand:
Stacked Robust Autoencoder for Classification. ICONIP (3) 2016: 600-607 - 2015
- [j5]Anupriya Gogna, Angshul Majumdar:
A Comprehensive Recommender System Model: Improving Accuracy for Both Warm and Cold Start Users. IEEE Access 3: 2803-2813 (2015) - [j4]Anupriya Gogna, Angshul Majumdar:
Matrix completion incorporating auxiliary information for recommender system design. Expert Syst. Appl. 42(14): 5789-5799 (2015) - [c6]Anupriya Gogna, Angshul Majumdar:
SVD free matrix completion with online bias correction for Recommender systems. ICAPR 2015: 1-5 - [c5]Anupriya Gogna, Sri Harsha Gade, Anubha Gupta
Design of signal-matched critically sampled FIR rational filterbank. ICASSP 2015: 3856-3860 - [c4]Anupriya Gogna, Angshul Majumdar:
Matrix factorization model using Kacmarz algorithm: Application in sensor localization. DSP 2015: 219-223 - [i4]Anupriya Gogna, Angshul Majumdar:
Blind Compressive Sensing Framework for Collaborative Filtering. CoRR abs/1505.01621 (2015) - [i3]Anupriya Gogna, Angshul Majumdar:
Fast Acquisition for Quantitative MRI Maps: Sparse Recovery from Non-linear Measurements. CoRR abs/1512.07712 (2015) - 2014
- [j3]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): 15729-15748 (2014) - [c3]Anupriya Gogna, Angshul Majumdar:
Distributed Elastic Net Regularized Blind Compressive Sensing for Recommender System Design. COMAD 2014: 29-37 - [c2]Anupriya Gogna, Ankita Shukla
Split Bregman algorithms for sparse / joint-sparse and low-rank signal recovery: Application in compressive hyperspectral imaging. ICIP 2014: 1302-1306 - [c1]Anupriya Gogna, Ankita Shukla, Angshul Majumdar:
Matrix Recovery Using Split Bregman. ICPR 2014: 1031-1036 - 2013
- [j2]Anupriya Gogna, Akash Tayal:
Metaheuristics: review and application. J. Exp. Theor. Artif. Intell. 25(4): 503-526 (2013) - [i2]Anupriya Gogna, Akash Tayal:
Comparative analysis of evolutionary algorithms for image enhancement. CoRR abs/1312.5045 (2013) - [i1]Anupriya Gogna, Ankita Shukla, Angshul Majumdar:
Matrix recovery using Split Bregman. CoRR abs/1312.6872 (2013) - 2012
- [j1]Anupriya Gogna, Akash Tayal:
Comparative analysis of evolutionary algorithms for image enhancement. Int. J. Metaheuristics 2(1): 80-100 (2012)
Coauthor Index
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