Jac Fredo Agastinose Ronickom
Orcid: 0000-0001-5759-6632Affiliations:
- Nanyang Technological University, Singapore
According to our database1,
Jac Fredo Agastinose Ronickom
authored at least 28 papers
between 2014 and 2025.
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Bibliography
2025
Emotion Classification Through Optimal Segments of EDA and Texture Analysis of Time-Encoded Images With Artificial Intelligence.
IEEE Trans. Instrum. Meas., 2025
Evaluating the effectiveness of machine learning in identifying the optimal facial electromyography location for emotion detection.
Biomed. Signal Process. Control., 2025
2024
Correction: Autism spectrum disorder diagnosis using fractal and non-fractal-based functional connectivity analysis and machine learning methods.
Neural Comput. Appl., July, 2024
Autism spectrum disorder diagnosis using fractal and non-fractal-based functional connectivity analysis and machine learning methods.
Neural Comput. Appl., July, 2024
Optimal Electrodermal Activity Segment for Enhanced Emotion Recognition Using Spectrogram-Based Feature Extraction and Machine Learning.
Int. J. Neural Syst., May, 2024
Deep Learning-Based Automated Emotion Recognition Using Multimodal Physiological Signals and Time-Frequency Methods.
IEEE Trans. Instrum. Meas., 2024
Emotion classification using electrocardiogram and machine learning: A study on the effect of windowing techniques.
Expert Syst. Appl., 2024
Automated Multi-Class Seizure-Type Classification System Using EEG Signals and Machine Learning Algorithms.
IEEE Access, 2024
2023
Age-Stratified Differences in Morphological Connectivity Patterns in ASD: An sMRI and Machine Learning Approach.
CoRR, 2023
Low Valence Low Arousal Stimuli: An Effective Candidate for EEG-Based Biometrics Authentication System.
Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023
Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023
Comparative Analysis of Electrodermal Activity Decomposition Methods in Emotion Detection Using Machine Learning.
Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023
Optimization of Pre-Ictal Interval Time Period for Epileptic Seizure Prediction Using Temporal and Frequency Features.
Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023
Proceedings of the Healthcare Transformation with Informatics and Artificial Intelligence, 2023
Diagnostic Classification of ASD Improves with Structural Connectivity of DTI and Logistic Regression.
Proceedings of the Healthcare Transformation with Informatics and Artificial Intelligence, 2023
Diagnostic Classification of ASD Using Fractal Functional Connectivity of fMRI and Logistic Regression.
Proceedings of the Healthcare Transformation with Informatics and Artificial Intelligence, 2023
Proceedings of the Healthcare Transformation with Informatics and Artificial Intelligence, 2023
Identifying the Optimal Location of Facial EMG for Emotion Detection Using Logistic Regression.
Proceedings of the Healthcare Transformation with Informatics and Artificial Intelligence, 2023
Deep Learning Framework for Categorical Emotional States Assessment Using Electrodermal Activity Signals.
Proceedings of the Healthcare Transformation with Informatics and Artificial Intelligence, 2023
Proceedings of the Telehealth Ecosystems in Practice, 2023
A Framework to Diagnose Autism Spectrum Disorder Using Morphological Connectivity of sMRI and XGBoost.
Proceedings of the Telehealth Ecosystems in Practice, 2023
2022
Time-Sliced Architecture for Efficient Accelerator to Detrend High-Definition Electroencephalograms.
IEEE Trans. Instrum. Meas., 2022
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., 2022
Automated Diagnosis of Autism Spectrum Disorder Condition Using Shape Based Features Extracted from Brainstem.
Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022
2021
IEEE Trans. Instrum. Meas., 2021
Performance of machine learning classification models of autism using resting-state fMRI is contingent on sample heterogeneity.
Neural Comput. Appl., 2021
Modified-MaMeMi filter bank for efficient extraction of brainwaves from electroencephalograms.
Biomed. Signal Process. Control., 2021
2014
Segmentation and analysis of brain subcortical regions using regularized multiphase level set in autistic MR images.
Int. J. Imaging Syst. Technol., 2014