Jac Fredo Agastinose Ronickom

28 papers Journal 14Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Artificial Intelligence Driven Virtual Screening and Molecular Docking Approaches Identified LIFR, BTG2, EPHX2, and PAK3 as Targets and BI-2536, AP-24534, and AZ-628 as Repurposed Drugs for PDAC. IEEE Trans. Comput. Biol. Bioinform. Pragya, Jac Fredo Agastinose Ronickom
2025	—	`conf`	Age-Associated Differential Gene Expression in Early-Stage Cervical Cancer Patients. ICACDS Praveen Kumar Govarthan, Jac Fredo Agastinose Ronickom, Ramakrishnan Swaminathan
2025	J	`jnl`	Binding Affinity Prediction for Pancreatic Ductal Adenocarcinoma Using Drug-Target Descriptors and Artificial Intelligence. IEEE Access Pragya, A. Amalin Prince, Jac Fredo Agastinose Ronickom
2025	J	`jnl`	Diagnostic classification of autism spectrum disorder using sMRI improves with the morphological distance-related features compared to morphological features. Multim. Tools Appl. Gokul Manoj, Vaibhavi Gupta, Aditi Bhattacharya, Abdul Aleem Shaik Gadda, Dhanvi Vedantham, A. Amalin Prince, Jac Fredo Agastinose Ronickom
2025	J	`jnl`	Emotion Classification Through Optimal Segments of EDA and Texture Analysis of Time-Encoded Images With Artificial Intelligence. IEEE Trans. Instrum. Meas. Sriram Kumar P, Jac Fredo Agastinose Ronickom
2025	J	`jnl`	Evaluating the effectiveness of machine learning in identifying the optimal facial electromyography location for emotion detection. Biomed. Signal Process. Control. Vinay Kumar Barigala, Swarubini PJ, Sriram Kumar P, Nagarajan Ganapathy, Karthik P. A., Deepesh Kumar, Jac Fredo Agastinose Ronickom
2025	J	`jnl`	Fine-Tuning EEG Channel Utilization for Emotionally Stimulated Biometric Authentication. IEEE Access Chetan Rakshe, Christy Bobby Thomas, Mohanavelu Kalathe, Vanteemar S. Sreeraj, Ganesan Venkatasubramanian, Deepesh Kumar, A. Amalin Prince, Jac Fredo Agastinose Ronickom
2024	J	`jnl`	Autism spectrum disorder diagnosis using fractal and non-fractal-based functional connectivity analysis and machine learning methods. Neural Comput. Appl. Chetan Rakshe, Suja Kunneth, Soumya Sundaram, Murugappan Murugappan, Jac Fredo Agastinose Ronickom
2024	J	`jnl`	Automated Multi-Class Seizure-Type Classification System Using EEG Signals and Machine Learning Algorithms. IEEE Access Abirami Selvaraj, Tikaram, M. Kathiravan, Yuvaraj Rajamanickam, Ramshekhar N. Menon, John Thomas, Periyamolapalayam Allimuthu Karthick, A. Amalin Prince, Jac Fredo Agastinose Ronickom
2024	J	`jnl`	Correction: Autism spectrum disorder diagnosis using fractal and non-fractal-based functional connectivity analysis and machine learning methods. Neural Comput. Appl. Chetan Rakshe, Suja Kunneth, Soumya Sundaram, Murugappan Murugappan, Jac Fredo Agastinose Ronickom
2024	J	`jnl`	Deep Learning-Based Automated Emotion Recognition Using Multimodal Physiological Signals and Time-Frequency Methods. IEEE Trans. Instrum. Meas. Sriram Kumar P, Praveen Kumar Govarthan, Abdul Aleem Shaik Gadda, Nagarajan Ganapathy, Jac Fredo Agastinose Ronickom
2024	J	`jnl`	Emotion classification using electrocardiogram and machine learning: A study on the effect of windowing techniques. Expert Syst. Appl. Praveen Kumar Govarthan, Sriram Kumar P, Nagarajan Ganapathy, Jac Fredo Agastinose Ronickom
2024	J	`jnl`	Optimal Electrodermal Activity Segment for Enhanced Emotion Recognition Using Spectrogram-Based Feature Extraction and Machine Learning. Int. J. Neural Syst. Sriram Kumar P, Jac Fredo Agastinose Ronickom
2023	—	`conf`	A Framework to Diagnose Autism Spectrum Disorder Using Morphological Connectivity of sMRI and XGBoost. EFMI-STC Vaibhavi Gupta, Gokul Manoj, Aditi Bhattacharya, Sandeep Singh Sengar, Rakesh Mishra, Bhoomika R. Kar, Chhitij Srivastava, Jac Fredo Agastinose Ronickom
2023	—	`conf`	Age-Specific Diagnostic Classification of ASD Using Deep Learning Approaches. EFMI-STC Vaibhav Jain, Sandeep Singh Sengar, Jac Fredo Agastinose Ronickom
2023	J	`jnl`	Age-Stratified Differences in Morphological Connectivity Patterns in ASD: An sMRI and Machine Learning Approach. CoRR Gokul Manoj, Sandeep Singh Sengar, Jac Fredo Agastinose Ronickom
2023	—	`conf`	Automated Emotion Recognition System Using Blood Volume Pulse and XGBoost Learning. ICIMTH Lokesh Naidu Lebaka, Praveen Kumar Sriram Kumar Pa Govarthan, Priya Rani, Nagarajan Ganapathy, Jac Fredo Agastinose Ronickom
2023	—	`conf`	Comparative Analysis of Electrodermal Activity Decomposition Methods in Emotion Detection Using Machine Learning. MIE Sriram Kumar P, Praveen Kumar Govarthan, Nagarajan Ganapathy, Jac Fredo Agastinose Ronickom
2023	—	`conf`	Deep Learning Framework for Categorical Emotional States Assessment Using Electrodermal Activity Signals. ICIMTH Praveen Kumar Govarthan, Nagarajan Sriram Kumar Pa Ganapathy, Jac Fredo Agastinose Ronickom
2023	—	`conf`	Diagnostic Classification of ASD Improves with Structural Connectivity of DTI and Logistic Regression. ICIMTH Ravi Ratnaik, Chetan Rakshe, Manoj Kumar, Jac Fredo Agastinose Ronickom
2023	—	`conf`	Diagnostic Classification of ASD Using Fractal Functional Connectivity of fMRI and Logistic Regression. ICIMTH Chetan Rakshe, Suja Kunneth, Soumya Sundaram, Jac Fredo Agastinose Ronickom
2023	—	`conf`	Differential Gene Expression Data Analysis of ASD Using Random Forest. MIE Praveen Kumar Pragyaa Govarthan, Kshitij Sinha, Sudip Mukherjee, Jac Fredo Agastinose Ronickom
2023	—	`conf`	Identifying the Optimal Location of Facial EMG for Emotion Detection Using Logistic Regression. ICIMTH Praveen Kumar Sriram Kumar Pa Govarthan, Swarubini PJ, Mythili Aasaithambi, Nagarajan Ganapathy, Karthik P. A., Deepesh Kumar, Jac Fredo Agastinose Ronickom
2023	—	`conf`	Low Valence Low Arousal Stimuli: An Effective Candidate for EEG-Based Biometrics Authentication System. MIE Jahanvi Jeswani, Praveen Kumar Govarthan, Abirami Selvaraj, A. Amalin Prince, John Thomas, Mohanavelu Kalathe, Venkat Sreeraj V. Se Subramaniam, Jac Fredo Agastinose Ronickom
2023	—	`conf`	Multi-Class Seizure Type Classification Using Features Extracted from the EEG. ICIMTH Abirami Selvaraj, Swarubini PJ, John Thomas, Yuvaraj Rajamanickam, Ramshekhar N. Menon, Jac Fredo Agastinose Ronickom
2023	—	`conf`	Optimization of Pre-Ictal Interval Time Period for Epileptic Seizure Prediction Using Temporal and Frequency Features. MIE Abdul Aleem Shaik Gadda, Dhanvi Vedantham, John Thomas, Yuvaraj Rajamanickam, Ramshekhar N. Menon, Jac Fredo Agastinose Ronickom
2022	—	`conf`	Automated Diagnosis of Autism Spectrum Disorder Condition Using Shape Based Features Extracted from Brainstem. MIE Vaibhav Jain, Abirami Selvaraj, Rakshit Mittal, Priya Rani, Anandh Kilpattu Ramaniharan, Jac Fredo Agastinose Ronickom
2022	J	`jnl`	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. Sreelakshmi Shaji, Jac Fredo Agastinose Ronickom, Anandh Kilpattu Ramaniharan, Ramakrishnan Swaminathan