Vibha Gupta

According to our database, Vibha Gupta authored at least 16 papers between 2014 and 2023.

Collaborative distances:

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

2023

Performance of data-driven inner speech decoding with same-task EEG-fMRI data fusion and bimodal models.

Holly Wilson, Scott Wellington, Foteini Simistira Liwicki, Vibha Gupta, Rajkumar Saini, Kanjar De, Nosheen Abid, Sumit Rakesh, Johan Gunnar Eriksson, Oliver Watts, Xi Chen, Mohammad Golbabaee, Michael J. Proulx, Marcus Liwicki, Eamonn O'Neill, Benjamin Metcalfe

CoRR, 2023

2022

Emotions Classification Using EEG in Health Care.

Sumit Rakesh, Foteini Liwicki, Hamam Mokayed, Richa Upadhyay, Prakash Chandra Chhipa, Vibha Gupta, Kanjar De, György Kovács, Dinesh Singh, Rajkumar Saini

Proceedings of the Computer Vision and Machine Intelligence, 2022

2021

Heterogeneous ensemble with information theoretic diversity measure for human epithelial cell image classification.

Vibha Gupta, Arnav Bhavsar

Medical Biol. Eng. Comput., 2021

2019

An Integrated Multi-scale Model for Breast Cancer Histopathological Image Classification Using CNN-Pooling and Color-Texture Features.

Vibha Gupta, Arnav Bhavsar

Proceedings of the Digital Pathology - 15th European Congress, 2019

Partially-Independent Framework for Breast Cancer Histopathological Image Classification.

Vibha Gupta, Arnav Bhavsar

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Feature Importance for Human Epithelial (HEp-2) Cell Image Classification.

Vibha Gupta, Arnav Bhavsar

J. Imaging, 2018

Role of Class-specific Features in Various Classification Frameworks for Human Epithelial (HEp-2) Cell Images.

Vibha Gupta, Arnav Bhavsar

CoRR, 2018

Sequential Modeling of Deep Features for Breast Cancer Histopathological Image Classification.

Vibha Gupta, Arnav Bhavsar

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017

Random Forest-Based Feature Importance for HEp-2 Cell Image Classification.

Vibha Gupta, Arnav Bhavsar

Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

Automated Classification for Breast Cancer Histopathology Images: Is Stain Normalization Important?

Vibha Gupta, Apurva Singh, Kartikeya Sharma, Arnav Bhavsar

Proceedings of the Computer Assisted and Robotic Endoscopy and Clinical Image-Based Procedures, 2017

Breast Cancer Histopathological Image Classification: Is Magnification Important?

Vibha Gupta, Arnav Bhavsar

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

An Integrated Multi-scale Model for Breast Cancer Histopathological Image Classification with Joint Colour-Texture Features.

Vibha Gupta, Arnav Bhavsar

Proceedings of the Computer Analysis of Images and Patterns, 2017

2016

Hierarchical classification of HEP-2 cell images using class-specific features.

Vibha Gupta, Krati Gupta, Arnav Bhavsar, Anil Kumar Sao

Proceedings of the 6th European Workshop on Visual Information Processing, 2016

2015

Class-specific hierarchical classification for HEP-2 specimen images.

Krati Gupta, Vibha Gupta, Arnav Bhavsar, Anil Kumar Sao

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014

Class-Specific Hierarchical Classification of HEp-2 Cell Images: The Case of Two Classes.

Krati Gupta, Vibha Gupta, Anil Kumar Sao, Arnav Bhavsar, Aroor Dinesh Dileep

Proceedings of the 1st Workshop on Pattern Recognition Techniques for Indirect Immunofluorescence Images, 2014

Pattern matching algorithms for intrusion detection and prevention system: A comparative analysis.

Vibha Gupta, Maninder Singh, Vinod K. Bhalla

Proceedings of the 2014 International Conference on Advances in Computing, 2014