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Computers in Biology and Medicine|November 29, 2021
A deep learning framework with an embedded-based feature selection approach for the early detection of the Alzheimer's diseaseNivedhitha Mahendran, Durai Raj Vincent P MComputational and Structural Biotechnology Journal|March 6, 2023
Deep belief network-based approach for detecting Alzheimer's disease using the multi-omics dataNivedhitha Mahendran, Durai Raj Vincent P MFrontiers in Genetics|December 16, 2021
Low-Light Image Enhancement Based on Generative Adversarial NetworkNandhini Abirami R, Durai Raj Vincent P MFrontiers in Genetics|December 28, 2020
Machine Learning Based Computational Gene Selection Models: A Survey, Performance Evaluation, Open Issues, and Future Research DirectionsNivedhitha Mahendran, P M Durai Raj Vincent, Kathiravan Srinivasan, et al.Frontiers in Genetics|December 6, 2021
Improving the Classification of Alzheimer's Disease Using Hybrid Gene Selection Pipeline and Deep LearningNivedhitha Mahendran, P M Durai Raj Vincent, Kathiravan Srinivasan, et al.Peerj. Computer Science|November 26, 2021
ResMem-Net: memory based deep CNN for image memorability estimationArockia Praveen, Abdulfattah Noorwali, Duraimurugan Samiayya, et al.Computational Intelligence and Neuroscience|May 17, 2021
Performance Assessment of Certain Machine Learning Models for Predicting the Major Depressive Disorder among IT Professionals during Pandemic timesP M Durai Raj Vincent, Nivedhitha Mahendran, Jamel Nebhen, et al.Sensors (Basel, Switzerland)|November 9, 2019
Sensor-Assisted Weighted Average Ensemble Model for Detecting Major Depressive DisorderNivedhitha Mahendran, Durai Raj Vincent, Kathiravan Srinivasan, et al.Pageof 1