Diagonal Fisher linear discriminant analysis for efficient face recognition. - Shaffi Noushath; G. Hemantha Kumar 001; P. Shivakumara (Neurocomputing, 2006)

(2D)2LDA: An efficient approach for face recognition. - Shaffi Noushath; G. Hemantha Kumar 001; P. Shivakumara (Pattern Recognit., 2006)

PaperDiff: A Script Independent Automatic Method for Finding the Text Differences Between Two Document Images. - Ramachandrula Sitaram; Gopal Datt Joshi; Shaffi Noushath; Pulkit Parikh; Vishal Gupta (Document Analysis Systems, 2008)

Multilingual OCR system for South Indian scripts and English documents: An approach based on Fourier transform and principal component analysis. - Aradhya V. N. Manjunath; G. Hemantha Kumar 001; Shaffi Noushath (Eng. Appl. Artif. Intell., 2008)

Fisher Linear Discriminant Analysis and Connectionist Model for Efficient Image Recognition. - Aradhya V. N. Manjunath; G. Hemantha Kumar 001; Shaffi Noushath (Speech, Audio, Image and Biomedical Signal Processing using Neural Networks, 2008)

Real-time embedded skew detection and frame removal. - Serene Banerjee; Shaffi Noushath; Pulkit Parikh; Ramachandrula Sitaram; Anjaneyulu Kuchibhotla; Avinash Sharma 002 (ICIP, 2010)

Subspace methods for face recognition. - Ashok Rao; Shaffi Noushath (Comput. Sci. Rev., 2010)

e-PCP: A robust skew detection method for scanned document images. - Prasenjit Dey; Shaffi Noushath (Pattern Recognit., 2010)

Some Issues on Choices of Modalities for Multimodal Biometric Systems. - Mohammad Imran; Ashok Rao; Shaffi Noushath; G. Hemantha Kumar 001 (SocProS, 2012)

Multimodal biometric fusion of face and palmprint at various levels. - Shaffi Noushath; Mohammad Imran; Karan Jetly; Ashok Rao; G. Hemantha Kumar 001 (ICACCI, 2013)

Kalanjiyam: Unconstrained Offline Tamil Handwritten Database. - Faizal Hajamohideen; Shaffi Noushath (ICVGIP Workshops, 2016)

Few-Shot Learning for Tamil Handwritten Character Recognition Using Deep Siamese Convolutional Neural Network. - Noushath Shaffi; Faizal Hajamohideen (AII, 2021)

uTHCD: A New Benchmarking for Tamil Handwritten OCR. - Noushath Shaffi; Faizal Hajamohideen (IEEE Access, 2021)

Ensemble Classifiers for a 4-Way Classification of Alzheimer's Disease. - Noushath Shaffi; Faizal Hajamohideen; Abdelhamid Abdesselam; Mufti Mahmud; Karthikeyan Subramanian (AII, 2022)

Triplet-Loss Based Siamese Convolutional Neural Network for 4-Way Classification of Alzheimer's Disease. - Noushath Shaffi; Faizal Hajamohideen; Mufti Mahmud; Abdelhamid Abdesselam; Karthikeyan Subramanian; Arwa Al Sariri (BI, 2022)

Bagging the Best: A Hybrid SVM-KNN Ensemble for Accurate and Early Detection of Alzheimer's and Parkinson's Diseases. - Noushath Shaffi; Viswan Vimbi; Mufti Mahmud; Karthikeyan Subramanian; Faizal Hajamohideen (BI, 2023)

Towards Automated Classification of Parkinson's Disease: Comparison of Machine Learning Methods using MRI and Acoustic Data. - Noushath Shaffi; Viswan Vimbi; Mufti Mahmud; Faizal Hajamohideen; Karthikeyan Subramanian (SSCI, 2023)

A Comparative Study of Pretrained Deep Neural Networks for Classifying Alzheimer's and Parkinson's Disease. - Viswan Vimbi; Noushath Shaffi; Mufti Mahmud; Karthikeyan Subramanian; Faizal Hajamohideen (SSCI, 2023)

Multi-Planar MRI-Based Classification of Alzheimer's Disease Using Tree-Based Machine Learning Algorithms. - Noushath Shaffi; Viswan Vimbi; Mufti Mahmud; Faizal Hajamohideen; Karthikeyan Subramanian (WI/IAT, 2023)

Four-way classification of Alzheimer's disease using deep Siamese convolutional neural network with triplet-loss function. - Faizal Hajamohideen; Noushath Shaffi; Mufti Mahmud; Karthikeyan Subramanian; Arwa Al Sariri; Viswan Vimbi; Abdelhamid Abdesselam (Brain Informatics, 2023)

VisTAD: A Vision Transformer Pipeline for the Classification of Alzheimer's Disease. - Noushath Shaffi; Viswan Vimbi; Mufti Mahmud (IJCNN, 2024)

Explainable Artificial Intelligence in Alzheimer's Disease Classification: A Systematic Review. - Viswan Vimbi; Noushath Shaffi; Mufti Mahmud; Karthikeyan Subramanian; Faizal Hajamohideen (Cogn. Comput., 2024)

Performance Evaluation of Deep, Shallow and Ensemble Machine Learning Methods for the Automated Classification of Alzheimer's Disease. - Noushath Shaffi; Karthikeyan Subramanian; Viswan Vimbi; Faizal Hajamohideen; Abdelhamid Abdesselam; Mufti Mahmud (Int. J. Neural Syst., 2024)

Ensemble of vision transformer architectures for efficient Alzheimer's Disease classification. - Noushath Shaffi; Viswan Vimbi; Mufti Mahmud (Brain Informatics, 2024)

Interpreting artificial intelligence models: a systematic review on the application of LIME and SHAP in Alzheimer's disease detection. - Viswan Vimbi; Noushath Shaffi; Mufti Mahmud (Brain Informatics, 2024)

Application of Explainable Artificial Intelligence in Autism Spectrum Disorder Detection. - Viswan Vimbi; Noushath Shaffi; Mohamed A. K. Sadiq; Srinivasa Rao Sirasanagandla; V. N. Manjunath Aradhya; M. Shamim Kaiser; Shuqiang Wang; Mufti Mahmud (Cogn. Comput., 2025)