Meghna Ayyar

Orcid: 0000-0002-3428-6831

According to our database1, Meghna Ayyar authored at least 13 papers between 2018 and 2023.

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

Timeline

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Bibliography

2023
Leveraging Explainability methods in Spectral Domain for Data Augmentation and efficient training of CNN classifiers for Covid-19 Detection.
Proceedings of the Twelfth International Conference on Image Processing Theory, 2023

Entropy-based Sampling for Streaming learning with Move-to-Data approach on Video.
Proceedings of the 20th International Conference on Content-based Multimedia Indexing, 2023

2021
Review of white box methods for explanations of convolutional neural networks in image classification tasks.
J. Electronic Imaging, 2021

White Box Methods for Explanations of Convolutional Neural Networks in Image Classification Tasks.
CoRR, 2021

Explaining 3D CNNs for Alzheimer's Disease Classification on sMRI Images with Multiple ROIs.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

A Hierarchical Classification System for the Detection of Covid-19 from Chest X-Ray Images.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2019
Exploring Classification of Histological Disease Biomarkers From Renal Biopsy Images.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Automating Car Insurance Claims Using Deep Learning Techniques.
Proceedings of the Fifth IEEE International Conference on Multimedia Big Data, 2019

Facefetch: An Efficient and Scalable Face Retrieval System That uses Your Visual Memory.
Proceedings of the Fifth IEEE International Conference on Multimedia Big Data, 2019

2018
Harnessing AI for Kidney Glomeruli Classification.
Proceedings of the 2018 IEEE International Symposium on Multimedia, 2018

raiden11@IECSIL-FIRE-2018 : Named Entity Recognition for Indian Languages.
Proceedings of the Working Notes of FIRE 2018, 2018

Multilingual Author Profiling from SMS.
Proceedings of the Working Notes of FIRE 2018, 2018

Did you offend me? Classification of Offensive Tweets in Hinglish Language.
Proceedings of the 2nd Workshop on Abusive Language Online, 2018


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