Noushath Shaffi

Orcid: 0000-0001-9243-8402

According to our database1, Noushath Shaffi authored at least 25 papers between 2006 and 2024.

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

Timeline

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Bibliography

2024
Interpreting artificial intelligence models: a systematic review on the application of LIME and SHAP in Alzheimer's disease detection.
Brain Informatics, December, 2024

Ensemble of vision transformer architectures for efficient Alzheimer's Disease classification.
Brain Informatics, December, 2024

Performance Evaluation of Deep, Shallow and Ensemble Machine Learning Methods for the Automated Classification of Alzheimer's Disease.
Int. J. Neural Syst., July, 2024

Explainable Artificial Intelligence in Alzheimer's Disease Classification: A Systematic Review.
Cogn. Comput., January, 2024

VisTAD: A Vision Transformer Pipeline for the Classification of Alzheimer's Disease.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
Four-way classification of Alzheimer's disease using deep Siamese convolutional neural network with triplet-loss function.
Brain Informatics, December, 2023

Multi-Planar MRI-Based Classification of Alzheimer's Disease Using Tree-Based Machine Learning Algorithms.
Proceedings of the IEEE International Conference on Web Intelligence and Intelligent Agent Technology, 2023

A Comparative Study of Pretrained Deep Neural Networks for Classifying Alzheimer's and Parkinson's Disease.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Towards Automated Classification of Parkinson's Disease: Comparison of Machine Learning Methods using MRI and Acoustic Data.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Bagging the Best: A Hybrid SVM-KNN Ensemble for Accurate and Early Detection of Alzheimer's and Parkinson's Diseases.
Proceedings of the Brain Informatics - 16th International Conference, 2023

2022
Triplet-Loss Based Siamese Convolutional Neural Network for 4-Way Classification of Alzheimer's Disease.
Proceedings of the Brain Informatics - 15th International Conference, 2022

Ensemble Classifiers for a 4-Way Classification of Alzheimer's Disease.
AII, 2022

2021
uTHCD: A New Benchmarking for Tamil Handwritten OCR.
IEEE Access, 2021

Few-Shot Learning for Tamil Handwritten Character Recognition Using Deep Siamese Convolutional Neural Network.
AII, 2021

2016
Kalanjiyam: Unconstrained Offline Tamil Handwritten Database.
Proceedings of the Computer Vision, Graphics, and Image Processing, 2016

2013
Multimodal biometric fusion of face and palmprint at various levels.
Proceedings of the International Conference on Advances in Computing, 2013

2012
Some Issues on Choices of Modalities for Multimodal Biometric Systems.
Proceedings of the Second International Conference on Soft Computing for Problem Solving, 2012

2010
e-PCP: A robust skew detection method for scanned document images.
Pattern Recognit., 2010

Subspace methods for face recognition.
Comput. Sci. Rev., 2010

Real-time embedded skew detection and frame removal.
Proceedings of the International Conference on Image Processing, 2010

2008
Fisher Linear Discriminant Analysis and Connectionist Model for Efficient Image Recognition.
Proceedings of the Speech, 2008

Multilingual OCR system for South Indian scripts and English documents: An approach based on Fourier transform and principal component analysis.
Eng. Appl. Artif. Intell., 2008

PaperDiff: A Script Independent Automatic Method for Finding the Text Differences Between Two Document Images.
Proceedings of the Eighth IAPR International Workshop on Document Analysis Systems, 2008

2006
(2D)<sup>2</sup>LDA: An efficient approach for face recognition.
Pattern Recognit., 2006

Diagonal Fisher linear discriminant analysis for efficient face recognition.
Neurocomputing, 2006


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