29 citations · 53 across the 12 of their papers we have counts for
13 papers
AI Generalisation Gap In Comorbid Sleep Disorder Staging
Saswata Bose, Suvadeep Maiti, Shivam Kumar Sharma +4
Accurate sleep staging is essential for diagnosing OSA and hypopnea in stroke patients. Although PSG is reliable, it is costly, labor-intensive, and manually scored. While deep lea…
Momentum Boosted Episodic Memory for Improving Learning in Long-Tailed RL Environments
Dolton Fernandes, Pramod Kaushik, Harsh Shukla +1
Traditional Reinforcement Learning (RL) algorithms assume the distribution of the data to be uniform or mostly uniform. However, this is not the case with most real-world applicati…
Deep Neural Networks and Brain Alignment: Brain Encoding and Decoding (Survey)
Subba Reddy Oota, Zijiao Chen, Manish Gupta +4
Can artificial intelligence unlock the secrets of the human brain? How do the inner mechanisms of deep learning models relate to our neural circuits? Is it possible to enhance AI b…
Cross-view Brain Decoding
Subba Reddy Oota, Jashn Arora, Manish Gupta +1
How the brain captures the meaning of linguistic stimuli across multiple views is still a critical open question in neuroscience. Consider three different views of the concept apar…
Visio-Linguistic Brain Encoding
Subba Reddy Oota, Jashn Arora, Vijay Rowtula +2
Enabling effective brain-computer interfaces requires understanding how the human brain encodes stimuli across modalities such as visual, language (or text), etc. Brain encoding ai…
IMLE-Net: An Interpretable Multi-level Multi-channel Model for ECG Classification
Likith Reddy, Vivek Talwar, Shanmukh Alle +2
Early detection of cardiovascular diseases is crucial for effective treatment and an electrocardiogram (ECG) is pivotal for diagnosis. The accuracy of Deep Learning based methods f…