Y. Nancy Jane

According to our database, Y. Nancy Jane authored at least 14 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Clinical Dataset Classification Using Feature Ranking And Satin Bower Bird Optimized SVMs.

K. S. Navin, H. Khannah Nehemiah, Y. Nancy Jane, Kannan Arputharaj

Comput. J., 2024

2023

Forecasting Covid-19 outbreak using CLR optimized stacked generalization computational models.

Saranya Devi Jeyabalan, Nancy Jane Yesudhas, Jayashree Sathyanarayanan, Khanna Nehemiah Harichandran

J. Intell. Fuzzy Syst., October, 2023

A classification framework using filter-wrapper based feature selection approach for the diagnosis of congenital heart failure.

K. S. Navin, H. Khanna Nehemiah, Y. Nancy Jane, H. Veena Saroji

J. Intell. Fuzzy Syst., 2023

Multimodal spatiotemporal skeletal kinematic gait feature fusion for vision-based fall detection.

M. Amsaprabhaa, Nancy Jane Yesudhas, Khanna Nehemiah Harichandran

Expert Syst. Appl., 2023

2-HDCNN: A two-tier hybrid dual convolution neural network feature fusion approach for diagnosing malignant melanoma.

Y. Nancy Jane, S. K. Charanya, M. Amsaprabhaa, Preetiha Jayashanker, H. Khannah Nehemiah

Comput. Biol. Medicine, 2023

2022

Multivariate temporal data classification framework for ozone level prediction.

Saranya Devi Jeyabalan, Nancy Jane Yesudhas, Khanna Nehemiah Harichandran, Gayathri Sridharan

J. Intell. Fuzzy Syst., 2022

2021

A survey on spatio-temporal framework for kinematic gait analysis in RGB videos.

M. Amsaprabhaa, Y. Nancy Jane, H. Khanna Nehemiah

J. Vis. Commun. Image Represent., 2021

Deep spatio-temporal emotion analysis of geo-tagged tweets for predicting location based communal emotion during COVID-19 Lock-down.

M. Amsaprabhaa, Y. Nancy Jane, H. Khanna Nehemiah

J. Intell. Fuzzy Syst., 2021

Feature Selection and Classification of Clinical Datasets Using Bioinspired Algorithms and Super Learner.

S. Murugesan, R. S. Bhuvaneswaran, H. Khanna Nehemiah, S. Keerthana Sankari, Y. Nancy Jane

Comput. Math. Methods Medicine, 2021

Classifying unevenly spaced clinical time series data using forecast error approximation based bottom-up (FeAB) segmented time delay neural network.

Y. Nancy Jane, H. Khanna Nehemiah, Arputharaj Kannan

Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2021

2017

A bio-statistical mining approach for classifying multivariate clinical time series data observed at irregular intervals.

Y. Nancy Jane, Harichandran Khanna Nehemiah, Arputharaj Kannan

Expert Syst. Appl., 2017

Imputing missing values in unevenly spaced clinical time series data to build an effective temporal classification framework.

Y. Nancy Jane, Harichandran Khanna Nehemiah, Arputharaj Kannan

Comput. Stat. Data Anal., 2017

2016

A Q-backpropagated time delay neural network for diagnosing severity of gait disturbances in Parkinson's disease.

Y. Nancy Jane, Harichandran Khanna Nehemiah, Arputharaj Kannan

J. Biomed. Informatics, 2016

A Temporal Mining Framework for Classifying Un-Evenly Spaced Clinical Data.

Y. Nancy Jane, Kannan Arputharaj, H. Khanna Nehemiah

Appl. Clin. Inform., 2016