Jac Fredo Agastinose Ronickom

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 19

Top Topics

Functional Connectivity

Decomposition Method

Emotion Recognition

Top Venues

Neural Comput. Appl.

Publications

Chetan Rakshe, Suja Kunneth, Soumya Sundaram, Murugappan Murugappan, Jac Fredo Agastinose Ronickom
Correction: Autism spectrum disorder diagnosis using fractal and non-fractal-based functional connectivity analysis and machine learning methods. Neural Comput. Appl. 36 (20) (2024)
Chetan Rakshe, Suja Kunneth, Soumya Sundaram, Murugappan Murugappan, Jac Fredo Agastinose Ronickom
Autism spectrum disorder diagnosis using fractal and non-fractal-based functional connectivity analysis and machine learning methods. Neural Comput. Appl. 36 (20) (2024)
Sriram Kumar P, Jac Fredo Agastinose Ronickom
Optimal Electrodermal Activity Segment for Enhanced Emotion Recognition Using Spectrogram-Based Feature Extraction and Machine Learning. Int. J. Neural Syst. 34 (5) (2024)
Praveen Kumar Govarthan, Sriram Kumar P, Nagarajan Ganapathy, Jac Fredo Agastinose Ronickom
Emotion classification using electrocardiogram and machine learning: A study on the effect of windowing techniques. Expert Syst. Appl. 254 (2024)
Vaibhavi Gupta, Gokul Manoj, Aditi Bhattacharya, Sandeep Singh Sengar, Rakesh Mishra, Bhoomika R. Kar, Chhitij Srivastava, Jac Fredo Agastinose Ronickom
A Framework to Diagnose Autism Spectrum Disorder Using Morphological Connectivity of sMRI and XGBoost. EFMI-STC (2023)
Jahanvi Jeswani, Praveen Kumar Govarthan, Abirami Selvaraj, A. Amalin Prince, John Thomas, Mohanavelu Kalathe, Venkat Sreeraj V. Se Subramaniam, Jac Fredo Agastinose Ronickom
Low Valence Low Arousal Stimuli: An Effective Candidate for EEG-Based Biometrics Authentication System. MIE (2023)
Vaibhav Jain, Sandeep Singh Sengar, Jac Fredo Agastinose Ronickom
Age-Specific Diagnostic Classification of ASD Using Deep Learning Approaches. EFMI-STC (2023)
Praveen Kumar Pragyaa Govarthan, Kshitij Sinha, Sudip Mukherjee, Jac Fredo Agastinose Ronickom
Differential Gene Expression Data Analysis of ASD Using Random Forest. MIE (2023)
Lokesh Naidu Lebaka, Praveen Kumar Sriram Kumar Pa Govarthan, Priya Rani, Nagarajan Ganapathy, Jac Fredo Agastinose Ronickom
Automated Emotion Recognition System Using Blood Volume Pulse and XGBoost Learning. ICIMTH (2023)
Abirami Selvaraj, Swarubini PJ, John Thomas, Yuvaraj Rajamanickam, Ramshekhar N. Menon, Jac Fredo Agastinose Ronickom
Multi-Class Seizure Type Classification Using Features Extracted from the EEG. ICIMTH (2023)
Gokul Manoj, Sandeep Singh Sengar, Jac Fredo Agastinose Ronickom
Age-Stratified Differences in Morphological Connectivity Patterns in ASD: An sMRI and Machine Learning Approach. CoRR (2023)
Praveen Kumar Govarthan, Nagarajan Sriram Kumar Pa Ganapathy, Jac Fredo Agastinose Ronickom
Deep Learning Framework for Categorical Emotional States Assessment Using Electrodermal Activity Signals. ICIMTH (2023)
Abdul Aleem Shaik Gadda, Dhanvi Vedantham, John Thomas, Yuvaraj Rajamanickam, Ramshekhar N. Menon, Jac Fredo Agastinose Ronickom
Optimization of Pre-Ictal Interval Time Period for Epileptic Seizure Prediction Using Temporal and Frequency Features. MIE (2023)
Ravi Ratnaik, Chetan Rakshe, Manoj Kumar, Jac Fredo Agastinose Ronickom
Diagnostic Classification of ASD Improves with Structural Connectivity of DTI and Logistic Regression. ICIMTH (2023)
Chetan Rakshe, Suja Kunneth, Soumya Sundaram, Jac Fredo Agastinose Ronickom
Diagnostic Classification of ASD Using Fractal Functional Connectivity of fMRI and Logistic Regression. ICIMTH (2023)
Praveen Kumar Sriram Kumar Pa Govarthan, Swarubini PJ, Mythili Aasaithambi, Nagarajan Ganapathy, Karthik Pa, Deepesh Kumar, Jac Fredo Agastinose Ronickom
Identifying the Optimal Location of Facial EMG for Emotion Detection Using Logistic Regression. ICIMTH (2023)
Sriram Kumar P, Praveen Kumar Govarthan, Nagarajan Ganapathy, Jac Fredo Agastinose Ronickom
Comparative Analysis of Electrodermal Activity Decomposition Methods in Emotion Detection Using Machine Learning. MIE (2023)
Vaibhav Jain, Abirami Selvaraj, Rakshit Mittal, Priya Rani, Anandh Kilpattu Ramaniharan, Jac Fredo Agastinose Ronickom
Automated Diagnosis of Autism Spectrum Disorder Condition Using Shape Based Features Extracted from Brainstem. MIE (2022)
Sreelakshmi Shaji, Jac Fredo Agastinose Ronickom, Anandh Kilpattu Ramaniharan, Ramakrishnan Swaminathan
Study on the effect of extreme learning machine and its variants in differentiating Alzheimer conditions from selective regions of brain MR images. Expert Syst. Appl. 209 (2022)