Krishna P. Miyapuram

According to our database, Krishna P. Miyapuram authored at least 45 papers between 2004 and 2024.

Collaborative distances:

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

2024

Learning Robust Deep Visual Representations from EEG Brain Recordings.

Prajwal Singh, Dwip Dalal, Gautam Vashishtha, Krishna P. Miyapuram, Shanmuganathan Raman

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Enhancing Motor Imagery based Brain Computer Interfaces for Stroke Rehabilitation.

Saher Soni, Shivam Chaudhary, Krishna Prasad Miyapuram

Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024

2023

Decoding Individual and Shared Experiences of Media Perception Using CNN Architectures.

Riddhi Johri, Pankaj Pandey, Krishna Prasad Miyapuram, James Derek Lomas

Proceedings of the Medical Image Understanding and Analysis - 27th Annual Conference, 2023

EEG2IMAGE: Image Reconstruction from EEG Brain Signals.

Prajwal Singh, Pankaj Pandey, Krishna P. Miyapuram, Shanmuganathan Raman

Proceedings of the IEEE International Conference on Acoustics, 2023

Automatic Epilepsy Detection from EEG signals.

Vridhi Rohira, Shivam Chaudhary, Sudip Das, Krishna Prasad Miyapuram

Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD), 2023

Predicting drum beats from high-density Brain Rhythms.

Shivam Chaudhary, Krishna Prasad Miyapuram, Derek Lomas

Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD), 2023

2022

Resonance as a Design Strategy for AI and Social Robots.

James Derek Lomas, Albert Lin, Suzanne Dikker, Deborah Forster, Maria Luce Lupetti, Gijs Huisman, Julika Habekost, Caiseal Beardow, Pankaj Pandey, Nashra Ahmad, Krishna P. Miyapuram, Tim Mullen, Patrick Cooper, Willem van der Maden, Emily S. Cross

Frontiers Neurorobotics, 2022

Improving self-supervised pretraining models for epileptic seizure detection from EEG data.

Sudip Das, Pankaj Pandey, Krishna Prasad Miyapuram

CoRR, 2022

Classifying oscillatory brain activity associated with Indian Rasas using network metrics.

Pankaj Pandey, Richa Tripathi, Krishna Prasad Miyapuram

Brain Informatics, 2022

Towards the development of personalized and generalized interfaces for brain signals across different styles of meditation.

Shruti Singh, Pankaj Pandey, Shivam Chaudhary, Krishna P. Miyapuram, James Derek Lomas

Proceedings of the Thirteenth Indian Conference on Computer Vision, 2022

Identifying Dominant Emotion in Positive and Negative Groups of Navarasa Using Functional Brain Connectivity Patterns.

Pankaj Pandey, Richa Tripathi, Gayatri Nerpagar, Krishna Prasad Miyapuram

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Temporal Dynamics of Value Integration in Perceptual Decisions: An EEG Study.

Manisha Chawla, Krishna P. Miyapuram

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Neural Encoding of Songs is Modulated by Their Enjoyment.

Gulshan Sharma, Pankaj Pandey, Ramanathan Subramanian, Krishna Prasad Miyapuram, Abhinav Dhall

Proceedings of the International Conference on Multimodal Interaction, 2022

Music Identification Using Brain Responses to Initial Snippets.

Pankaj Pandey, Gulshan Sharma, Krishna P. Miyapuram, Ramanathan Subramanian, Derek Lomas

Proceedings of the IEEE International Conference on Acoustics, 2022

Classifying EEG Signals of Mind-Wandering Across Different Styles of Meditation.

Shivam Chaudhary, Pankaj Pandey, Krishna Prasad Miyapuram, Derek Lomas

Proceedings of the Brain Informatics - 15th International Conference, 2022

2021

BRAIN2DEPTH: Lightweight CNN Model for Classification of Cognitive States from EEG Recordings.

Pankaj Pandey, Krishna Prasad Miyapuram

Proceedings of the Medical Image Understanding and Analysis - 25th Annual Conference, 2021

GuessTheMusic: Song Identification from Electroencephalography response.

Dhananjay Sonawane, Krishna Prasad Miyapuram, Bharatesh RS, Derek J. Lomas

Proceedings of the CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, 2021

A Novel Approach Towards Early Detection of Alzheimer's Disease Using Deep Learning on Magnetic Resonance Images.

Kushpal Singh Yadav, Krishna Prasad Miyapuram

Proceedings of the Brain Informatics - 14th International Conference, 2021

Movie Identification from Electroencephalography Response Using Convolutional Neural Network.

Dhananjay Sonawane, Pankaj Pandey, Dyutiman Mukhopadhyay, Krishna Prasad Miyapuram

Proceedings of the Brain Informatics - 14th International Conference, 2021

Brain Connectivity Based Classification of Meditation Expertise.

Pankaj Pandey, Pragati Gupta, Krishna Prasad Miyapuram

Proceedings of the Brain Informatics - 14th International Conference, 2021

Nonlinear EEG analysis of mindfulness training using interpretable machine learning.

Pankaj Pandey, Krishna Prasad Miyapuram

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Predicting Dominant Beat Frequency from Brain Responses While Listening to Music.

Pankaj Pandey, Nashra Ahmad, Krishna Prasad Miyapuram, Derek J. Lomas

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Predicting learning stages during the serial reaction time task using event-related potentials.

Ishita Arun, Pankaj Pandey, Goldy Yadav, Krishna Prasad Miyapuram

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

Classifying Songs with EEG.

Prashant Lawhatre, Bharatesh R. Shiraguppi, Esha Sharma, Krishna Prasad Miyapuram, Derek J. Lomas

CoRR, 2020

Understanding Consumer Preferences for Movie Trailers from EEG using Machine Learning.

Pankaj Pandey, Raunak Swarnkar, Shobhit Kakaria, Krishna Prasad Miyapuram

CoRR, 2020

PsychFM: Predicting your next gamble.

Prakash Rajan, Krishna P. Miyapuram

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Classifying Oscillatory Signatures of Expert vs NonExpert Meditators.

Pankaj Pandey, Krishna Prasad Miyapuram

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Temporal EEG Neural Activity Predicts Visuo-Spatial Motor Sequence Learning.

Raunak Swarnkar, Krishna P. Miyapuram

Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019

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

Shubham Kumar Singh, Krishna P. Miyapuram, Shanmuganathan Raman

CoRR, 2019

Characterization of Functional Brain Networks and Emotional Centers Using the Complex Networks Techniques.

Richa Tripathi, Dyutiman Mukhopadhyay, Chakresh Kumar Singh, Krishna Prasad Miyapuram, Shivakumar Jolad

Proceedings of the Complex Networks and Their Applications VIII, 2019

Emotive Stimuli-triggered Participant-based Clustering Using a Novel Split-and-Merge Algorithm.

Surabhi S. Nath, Dyutiman Mukhopadhyay, Krishna P. Miyapuram

Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2019

2017

Facial Expression Recognition Using Visual Saliency and Deep Learning.

Viraj Mavani, Shanmuganathan Raman, Krishna P. Miyapuram

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016

The Effect of Reward Information on Perceptual Decision-Making.

Devu Mahesan, Manisha Chawla, Krishna P. Miyapuram

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

2015

Graph Clustering for Large-Scale Text-Mining of Brain Imaging Studies.

Manisha Chawla, Mounika Mesa, Krishna P. Miyapuram

Proceedings of the Third International Symposium on Women in Computing and Informatics, 2015

Comparison of meta-analysis approaches for neuroimaging studies of reward processing: A case study.

Manisha Chawla, Krishna P. Miyapuram

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Influence of Previous Choice and Outcome in a Two-Alternative Decision-Making Task.

Manisha Chawla, Krishna P. Miyapuram

Proceedings of the Neural Information Processing - 22nd International Conference, 2015

2014

Inter Subject Correlation of Brain Activity during Visuo-Motor Sequence Learning.

Krishna P. Miyapuram, Ujjval Pamnani, Kenji Doya, Raju S. Bapi

Proceedings of the Neural Information Processing - 21st International Conference, 2014

2013

Predicting the imagined contents using brain activation.

Krishna Prasad Miyapuram, Wolfram Schultz, Philippe N. Tobler

Proceedings of the Fourth National Conference on Computer Vision, 2013

2012

Changing the structure of complex visuo-motor sequences selectively activates the fronto-parietal network.

Chandrasekhar V. S. Pammi, Krishna P. Miyapuram, Ahmed, Kazuyuki Samejima, Raju S. Bapi, Kenji Doya

NeuroImage, 2012

BOLD responses in reward regions to hypothetical and imaginary monetary rewards.

Krishna P. Miyapuram, Philippe N. Tobler, Lucy Gregorios-Pippas, Wolfram Schultz

NeuroImage, 2012

Role of Error Monitoring Mechanisms in Attribution of Sense of Self-Agency.

Neeraj Kumar, Jaison A. Manjaly, Krishna P. Miyapuram

Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

2007

Detection of Cognitive States from fMRI Data Using Machine Learning Techniques.

Vishwajeet Singh, Krishna P. Miyapuram, Raju S. Bapi

Proceedings of the IJCAI 2007, 2007

2006

fMRI investigation of cortical and subcortical networks in the learning of abstract and effector-specific representations of motor sequences.

Raju S. Bapi, Krishna P. Miyapuram, F. X. Graydon, Kenji Doya

NeuroImage, 2006

Hierarchical Chunking during Learning of Visuomotor Sequences.

Krishna P. Miyapuram, Raju S. Bapi, Chandrasekhar V. S. Pammi, Ahmed, Kenji Doya

Proceedings of the International Joint Conference on Neural Networks, 2006

2004

Chunking Phenomenon in Complex Sequential Skill Learning in Humans.

Chandrasekhar V. S. Pammi, Krishna P. Miyapuram, Raju S. Bapi, Kenji Doya

Proceedings of the Neural Information Processing, 11th International Conference, 2004