activity
20172021
most citedUnderstanding Consumer Preferences for Movie Trailers from EEG using Machine Learning

4 citations · 4 across the 3 of their papers we have counts for

collaborators

6 papers

q-bio.NC2021

Predicting the imagined contents using brain activation

Krishna Prasad Miyapuram, Wolfram Schultz, Philippe N. Tobler

Mental imagery refers to percept-like experiences in the absence of sensory input. Brain imaging studies suggest common, modality-specific, neural correlates imagery and perception…

q-bio.NC2020

GuessTheMusic: Song Identification from Electroencephalography response

Dhananjay Sonawane, Krishna Prasad Miyapuram, Bharatesh RS +1

The music signal comprises of different features like rhythm, timbre, melody, harmony. Its impact on the human brain has been an exciting research topic for the past several decade…

cs.LG20204 cited

Understanding Consumer Preferences for Movie Trailers from EEG using Machine Learning

Pankaj Pandey, Raunak Swarnkar, Shobhit Kakaria +1

Neuromarketing aims to understand consumer behavior using neuroscience. Brain imaging tools such as EEG have been used to better understand consumer behavior that goes beyond self-…

cs.LG2020

PsychFM: Predicting your next gamble

Prakash Rajan, Krishna P. Miyapuram

There is a sudden surge to model human behavior due to its vast and diverse applications which includes modeling public policies, economic behavior and consumer behavior. Most of t…

cs.CV2019

DeepPFCN: Deep Parallel Feature Consensus Network For Person Re-Identification

Shubham Kumar Singh, Krishna P Miyapuram, Shanmuganathan Raman

Person re-identification aims to associate images of the same person over multiple non-overlapping camera views at different times. Depending on the human operator, manual re-ident…

cs.CV2017

Facial Expression Recognition using Visual Saliency and Deep Learning

Viraj Mavani, Shanmuganathan Raman, Krishna P Miyapuram

We have developed a convolutional neural network for the purpose of recognizing facial expressions in human beings. We have fine-tuned the existing convolutional neural network mod…