Ankita Shukla

According to our database1, Ankita Shukla authored at least 25 papers between 2014 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 




GraCIAS: Grassmannian of Corrupted Images for Adversarial Security.
CoRR, 2020

Multimodal Device Clustering Using Mobile Agent for Correlation in Sensor-Based IoT.
Ad Hoc Sens. Wirel. Networks, 2020

Semi-Supervised Clustering with Neural Networks.
Proceedings of the 6th IEEE International Conference on Multimedia Big Data, 2020

Disease Biomarker Discovery.
Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 3, 2019

Gene Expression Studies to Identify Significant Genes in AR, MTOR, MAPK Pathways and their Overlapping Regulatory Role in Prostate Cancer.
J. Integr. Bioinform., 2019

Product of Orthogonal Spheres Parameterization for Disentangled Representation Learning.
CoRR, 2019

Primate Face Identification in the Wild.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

A Compact Filter Regularization Method for Solving Sideways Heat Equation.
Proceedings of the Numerical Computations: Theory and Algorithms, 2019

A Hybrid Approach to Tiger Re-Identification.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

PrOSe: Product of Orthogonal Spheres Parameterization for Disentangled Representation Learning.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

Network-based approach to understand dynamic behaviour of Wnt signaling pathway regulatory elements in colorectal cancer.
Netw. Model. Anal. Health Informatics Bioinform., 2018

Unique Identification of Macaques for Population Monitoring and Control.
CoRR, 2018

ClusterNet : Semi-Supervised Clustering using Neural Networks.
CoRR, 2018

Geometry of Deep Generative Models for Disentangled Representations.
Proceedings of the ICVGIP 2018: 11th Indian Conference on Computer Vision, 2018

Perturbation Robust Representations of Topological Persistence Diagrams.
Proceedings of the Computer Vision - ECCV 2018, 2018

Energy efficient EEG acquisition and reconstruction for a Wireless Body Area Network.
Integr., 2017

Metric learning on biological sequence embeddings.
Proceedings of the 18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2017

Metric learning based automatic segmentation of patterned species.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Row-sparse blind compressed sensing for reconstructing multi-channel EEG signals.
Biomed. Signal Process. Control., 2015

Exploiting inter-channel correlation in EEG signal reconstruction.
Biomed. Signal Process. Control., 2015

Combining sparsity with rank-deficiency for energy efficient EEG sensing and transmission over Wireless Body Area Network.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

A Kronecker Compressed Sensing formulation for energy efficient EEG sensing.
Proceedings of the Eighth International Conference on Advances in Pattern Recognition, 2015

Matrix Recovery Using Split Bregman.
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.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Energy efficient acquisition and reconstruction of EEG signals.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014