40 citations · 85 across the 12 of their papers we have counts for
12 papers
Can Legal AI Know When It Is Wrong? And Do Students Know When It Is?
Angel Mary John, Vipin Kumar Singh, Jerrin Thomas Panachakel
Integrating Large Language Models (LLMs) into the Indian judiciary promises access to justice but introduces severe risks. We identify the 'inertia of confidence'--an overconfidenc…
Ethical Challenges of Using Artificial Intelligence in Judiciary
Angel Mary John, Aiswarya M. U., Jerrin Thomas Panachakel
Artificial intelligence (AI) has emerged as a ubiquitous concept in numerous domains, including the legal system. AI has the potential to revolutionize the functioning of the judic…
Navigating AI Policy Landscapes: Insights into Human Rights Considerations Across IEEE Regions
Angel Mary John, Jerrin Thomas Panachakel, Anusha S. P
This paper explores the integration of human rights considerations into AI regulatory frameworks across different IEEE regions - specifically the United States (Region 1-6), Europe…
Subject-independent Classification of Meditative State from the Resting State using EEG
Jerrin Thomas Panachakel, Pradeep Kumar G., Suryaa Seran +2
While it is beneficial to objectively determine whether a subject is meditating, most research in the literature reports good results only in a subject-dependent manner. This study…
Advancements in Myocardial Infarction Detection and Classification Using Wearable Devices: A Comprehensive Review
Abhijith S, Arjun Rajesh, Mansi Manoj +3
Myocardial infarction (MI), commonly known as a heart attack, is a critical health condition caused by restricted blood flow to the heart. Early-stage detection through continuous…
Emotion Detection from EEG using Transfer Learning
Sidharth Sidharth, Ashish Abraham Samuel, Ranjana H +2
The detection of emotions using an Electroencephalogram (EEG) is a crucial area in brain-computer interfaces and has valuable applications in fields such as rehabilitation and medi…
Decoding Imagined Speech using Wavelet Features and Deep Neural Networks
Jerrin Thomas Panachakel, A. G. Ramakrishnan
This paper proposes a novel approach that uses deep neural networks for classifying imagined speech, significantly increasing the classification accuracy. The proposed approach emp…
A Novel Deep Learning Architecture for Decoding Imagined Speech from EEG
Jerrin Thomas Panachakel, A. G. Ramakrishnan, T. V. Ananthapadmanabha
The recent advances in the field of deep learning have not been fully utilised for decoding imagined speech primarily because of the unavailability of sufficient training samples t…
Two Tier Prediction of Stroke Using Artificial Neural Networks and Support Vector Machines
Jerrin Thomas Panachakel, Jeena R. S
Cerebrovascular accident (CVA) or stroke is the rapid loss of brain function due to disturbance in the blood supply to the brain. Statistically, stroke is the second leading cause…
An Improved EEG Acquisition Protocol Facilitates Localized Neural Activation
Jerrin Thomas Panachakel, Nandagopal Netrakanti Vinayak, Maanvi Nunna +2
This work proposes improvements in the electroencephalogram (EEG) recording protocols for motor imagery through the introduction of actual motor movement and/or somatosensory cues.…
High Resilience Diverse Domain Multilevel Audio Watermarking with Adaptive Threshold
Jerrin Thomas Panachakel, Anurenjan P. R
A novel diverse domain (DCT-SVD & DWT-SVD) watermarking scheme is proposed in this paper. Here, the watermark is embedded simultaneously onto the two domains. It is shown that an a…
Multi-level SVM Based CAD Tool for Classifying Structural MRIs
Jerrin Thomas Panachakel, Jeena R. S.
The revolutionary developments in the field of supervised machine learning have paved way to the development of CAD tools for assisting doctors in diagnosis. Recently, the former h…