Jayaraman Sivaraman

According to our database, Jayaraman Sivaraman authored at least 11 papers between 2016 and 2026.

Collaborative distances:

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

2026

CAF-DNet: A class aware attention fusion network with multi-scale dilated convolutions for acute lymphoblastic leukemia classification.

Rushikesh T. Gaikwad, Nalla Maheswararao, Soumyajit Gayen, Deepak Kumar Sahu, Jayaraman Sivaraman, Kunal Pal, Bala Chakravarthy Neelapu

Expert Syst. Appl., 2026

SPHE-Match: Semi-supervised Prototype-aware Hierarchical Embedding Matching approach for classifying Sleep Apnea events using single-lead Electrocardiogram.

Soumyajit Gayen, Nalla Maheswara Rao, Deepak Kumar Sahu, Arya Bhardwaj, Pradeep Kumar, Jayaraman Sivaraman, Kunal Pal, Bala Chakravarthy Neelapu

Eng. Appl. Artif. Intell., 2026

2025

SmartMatch: A semi-supervised framework for obstructive sleep apnea classification using single-lead electrocardiogram signals with limited annotations.

Soumyajit Gayen, Nalla Maheswara Rao, Deepak Kumar Sahu, Jayaraman Sivaraman, Kunal Pal, Srikanth Vasamsetti, Bala Chakravarthy Neelapu

Eng. Appl. Artif. Intell., 2025

2024

Atrial lead system for enhanced P-wave recording: A comparative study on optimal leads using gradient boosting and deep learning algorithms.

N. Prasanna Venkatesh, R. Pradeep Kumar, Bala Chakravarthy Neelapu, Kunal Pal, Jayaraman Sivaraman

Biomed. Signal Process. Control., 2024

Automated atrial arrhythmia classification using 1D-CNN-BiLSTM: A deep network ensemble model.

N. Prasanna Venkatesh, R. Pradeep Kumar, Bala Chakravarthy Neelapu, Kunal Pal, Jayaraman Sivaraman

Biomed. Signal Process. Control., 2024

Analyzing the Effect of Coffee Consumption on Visual Pathway Using Visual Evoked Potential (VEP) Signals and Machine Learning Algorithms.

Garima Singhal, Nalla Maheswara Rao, C. S. Amit, Srushti Badge, Jayaraman Sivaraman, Kunal Pal, Bala Chakravarthy Neelapu

Proceedings of the Computational Intelligence in Communications and Business Analytics, 2024

2023

A Review of Methods and Applications for a Heart Rate Variability Analysis.

Suraj Kumar Nayak, Bikash K. Pradhan, Biswaranjan Mohanty, Jayaraman Sivaraman, Sirsendu Sekhar Ray, Jolanta Wawrzyniak, Maciej Jarzebski, Kunal Pal

Algorithms, 2023

Atrial Features-Based Prediction of Sinus Tachycardia Using LSTM-RNN Model.

N. Prasanna Venkatesh, R. Pradeep Kumar, Bala Chakravarthy Neelapu, Kunal Pal, Jayaraman Sivaraman

Proceedings of the Computing in Cardiology, 2023

2022

Machine Learning-based Classification of Ischemic and Non-Ischemic Exercise Stress Test ECG.

Dibya Chowdhury, Bala Chakravarthy Neelapu, Kunal Pal, Jayaraman Sivaraman

Proceedings of the Computing in Cardiology, 2022

Exaggerated Amplitude and Peak Location of Ta Wave in Tachycardia as an Indicator for Atrial Disorders.

Arya Bhardwaj, Bala Chakravarthy Neelapu, Kunal Pal, Jayaraman Sivaraman

Proceedings of the Computing in Cardiology, 2022

2016

A study on stability analysis of atrial repolarization variability using ARX model in sinus rhythm and atrial tachycardia ECGs.

Jayaraman Sivaraman, Uma Gandhi, Philip Langley, Mangalanathan Umapathy, S. Venkatesan, G. Palanikumar

Comput. Methods Programs Biomed., 2016