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Krishna P. Miyapuram
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2020 – today
- 2024
- [c36]Saher Soni, Shivam Chaudhary, Krishna Prasad Miyapuram:
Enhancing Motor Imagery based Brain Computer Interfaces for Stroke Rehabilitation. COMAD/CODS 2024: 439-443 - [c35]Prajwal Singh, Dwip Dalal, Gautam Vashishtha, Krishna P. Miyapuram, Shanmuganathan Raman:
Learning Robust Deep Visual Representations from EEG Brain Recordings. WACV 2024: 7538-7547 - 2023
- [c34]Vridhi Rohira, Shivam Chaudhary, Sudip Das, Krishna Prasad Miyapuram:
Automatic Epilepsy Detection from EEG signals. COMAD/CODS 2023: 272-273 - [c33]Shivam Chaudhary, Krishna Prasad Miyapuram, Derek Lomas:
Predicting drum beats from high-density Brain Rhythms. COMAD/CODS 2023: 291-292 - [c32]Prajwal Singh, Pankaj Pandey, Krishna P. Miyapuram, Shanmuganathan Raman:
EEG2IMAGE: Image Reconstruction from EEG Brain Signals. ICASSP 2023: 1-5 - [c31]Riddhi Johri, Pankaj Pandey, Krishna Prasad Miyapuram, James Derek Lomas:
Decoding Individual and Shared Experiences of Media Perception Using CNN Architectures. MIUA 2023: 182-196 - [i12]Prajwal Singh, Pankaj Pandey, Krishna P. Miyapuram, Shanmuganathan Raman:
EEG2IMAGE: Image Reconstruction from EEG Brain Signals. CoRR abs/2302.10121 (2023) - [i11]Prajwal Singh, Dwip Dalal, Gautam Vashishtha, Krishna P. Miyapuram, Shanmuganathan Raman:
Learning Robust Deep Visual Representations from EEG Brain Recordings. CoRR abs/2310.16532 (2023) - 2022
- [j5]Pankaj Pandey, Richa Tripathi, Krishna Prasad Miyapuram:
Classifying oscillatory brain activity associated with Indian Rasas using network metrics. Brain Informatics 9(1): 15 (2022) - [j4]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:
Resonance as a Design Strategy for AI and Social Robots. Frontiers Neurorobotics 16: 850489 (2022) - [c30]Shivam Chaudhary, Pankaj Pandey, Krishna Prasad Miyapuram, Derek Lomas:
Classifying EEG Signals of Mind-Wandering Across Different Styles of Meditation. BI 2022: 152-163 - [c29]Pankaj Pandey, Gulshan Sharma, Krishna P. Miyapuram, Ramanathan Subramanian, Derek Lomas:
Music Identification Using Brain Responses to Initial Snippets. ICASSP 2022: 1246-1250 - [c28]Gulshan Sharma, Pankaj Pandey, Ramanathan Subramanian, Krishna Prasad Miyapuram, Abhinav Dhall:
Neural Encoding of Songs is Modulated by Their Enjoyment. ICMI 2022: 414-419 - [c27]Pankaj Pandey, Richa Tripathi, Gayatri Nerpagar, Krishna Prasad Miyapuram:
Identifying Dominant Emotion in Positive and Negative Groups of Navarasa Using Functional Brain Connectivity Patterns. ICONIP (2) 2022: 123-135 - [c26]Manisha Chawla, Krishna P. Miyapuram:
Temporal Dynamics of Value Integration in Perceptual Decisions: An EEG Study. ICONIP (5) 2022: 385-394 - [c25]Shruti Singh, Pankaj Pandey, Shivam Chaudhary, Krishna P. Miyapuram, James Derek Lomas:
Towards the development of personalized and generalized interfaces for brain signals across different styles of meditation. ICVGIP 2022: 54:1-54:9 - [i10]Sudip Das, Pankaj Pandey, Krishna Prasad Miyapuram:
Improving self-supervised pretraining models for epileptic seizure detection from EEG data. CoRR abs/2207.06911 (2022) - [i9]Gulshan Sharma, Pankaj Pandey, Ramanathan Subramanian, Krishna P. Miyapuram, Abhinav Dhall:
Neural Encoding of Songs is Modulated by Their Enjoyment. CoRR abs/2208.06679 (2022) - 2021
- [c24]Pankaj Pandey, Krishna Prasad Miyapuram:
Nonlinear EEG analysis of mindfulness training using interpretable machine learning. BIBM 2021: 3051-3057 - [c23]Pankaj Pandey, Nashra Ahmad, Krishna Prasad Miyapuram, Derek J. Lomas:
Predicting Dominant Beat Frequency from Brain Responses While Listening to Music. BIBM 2021: 3058-3064 - [c22]Ishita Arun, Pankaj Pandey, Goldy Yadav, Krishna Prasad Miyapuram:
Predicting learning stages during the serial reaction time task using event-related potentials. BIBM 2021: 3592-3598 - [c21]Pankaj Pandey, Pragati Gupta, Krishna Prasad Miyapuram:
Brain Connectivity Based Classification of Meditation Expertise. BI 2021: 89-98 - [c20]Dhananjay Sonawane, Pankaj Pandey, Dyutiman Mukhopadhyay, Krishna Prasad Miyapuram:
Movie Identification from Electroencephalography Response Using Convolutional Neural Network. BI 2021: 267-276 - [c19]Kushpal Singh Yadav, Krishna Prasad Miyapuram:
A Novel Approach Towards Early Detection of Alzheimer's Disease Using Deep Learning on Magnetic Resonance Images. BI 2021: 486-495 - [c18]Dhananjay Sonawane, Krishna Prasad Miyapuram, Bharatesh RS, Derek J. Lomas:
GuessTheMusic: Song Identification from Electroencephalography response. COMAD/CODS 2021: 154-162 - [c17]Pankaj Pandey, Krishna Prasad Miyapuram:
BRAIN2DEPTH: Lightweight CNN Model for Classification of Cognitive States from EEG Recordings. MIUA 2021: 394-407 - [i8]Pankaj Pandey, Krishna Prasad Miyapuram:
BRAIN2DEPTH: Lightweight CNN Model for Classification of Cognitive States from EEG Recordings. CoRR abs/2106.06688 (2021) - [i7]Krishna Prasad Miyapuram, Wolfram Schultz, Philippe N. Tobler:
Predicting the imagined contents using brain activation. CoRR abs/2106.07355 (2021) - 2020
- [c16]Raunak Swarnkar, Krishna P. Miyapuram:
Temporal EEG Neural Activity Predicts Visuo-Spatial Motor Sequence Learning. ICONIP (5) 2020: 204-211 - [c15]Pankaj Pandey, Krishna Prasad Miyapuram:
Classifying Oscillatory Signatures of Expert vs NonExpert Meditators. IJCNN 2020: 1-7 - [c14]Prakash Rajan, Krishna P. Miyapuram:
PsychFM: Predicting your next gamble. IJCNN 2020: 1-6 - [i6]Prakash Rajan, Krishna P. Miyapuram:
PsychFM: Predicting your next gamble. CoRR abs/2007.01833 (2020) - [i5]Pankaj Pandey, Raunak Swarnkar, Shobhit Kakaria, Krishna Prasad Miyapuram:
Understanding Consumer Preferences for Movie Trailers from EEG using Machine Learning. CoRR abs/2007.10756 (2020) - [i4]Dhananjay Sonawane, Krishna Prasad Miyapuram, Bharatesh RS, Derek J. Lomas:
GuessTheMusic: Song Identification from Electroencephalography response. CoRR abs/2009.08793 (2020) - [i3]Prashant Lawhatre, Bharatesh R. Shiraguppi, Esha Sharma, Krishna Prasad Miyapuram, Derek J. Lomas:
Classifying Songs with EEG. CoRR abs/2010.04087 (2020)
2010 – 2019
- 2019
- [c13]Surabhi S. Nath, Dyutiman Mukhopadhyay, Krishna P. Miyapuram:
Emotive Stimuli-triggered Participant-based Clustering Using a Novel Split-and-Merge Algorithm. COMAD/CODS 2019: 277-280 - [c12]Richa Tripathi, Dyutiman Mukhopadhyay, Chakresh Kumar Singh, Krishna Prasad Miyapuram, Shivakumar Jolad:
Characterization of Functional Brain Networks and Emotional Centers Using the Complex Networks Techniques. COMPLEX NETWORKS (2) 2019: 854-867 - [i2]Shubham Kumar Singh, Krishna P. Miyapuram, Shanmuganathan Raman:
DeepPFCN: Deep Parallel Feature Consensus Network For Person Re-Identification. CoRR abs/1911.07776 (2019) - 2017
- [c11]Viraj Mavani, Shanmuganathan Raman, Krishna P. Miyapuram:
Facial Expression Recognition Using Visual Saliency and Deep Learning. ICCV Workshops 2017: 2783-2788 - [i1]Viraj Mavani, Shanmuganathan Raman, Krishna P. Miyapuram:
Facial Expression Recognition using Visual Saliency and Deep Learning. CoRR abs/1708.08016 (2017) - 2016
- [c10]Devu Mahesan, Manisha Chawla, Krishna P. Miyapuram:
The Effect of Reward Information on Perceptual Decision-Making. ICONIP (4) 2016: 156-163 - 2015
- [c9]Manisha Chawla, Krishna P. Miyapuram:
Influence of Previous Choice and Outcome in a Two-Alternative Decision-Making Task. ICONIP (2) 2015: 467-474 - [c8]Manisha Chawla, Krishna P. Miyapuram:
Comparison of meta-analysis approaches for neuroimaging studies of reward processing: A case study. IJCNN 2015: 1-5 - [c7]Manisha Chawla, Mounika Mesa, Krishna P. Miyapuram:
Graph Clustering for Large-Scale Text-Mining of Brain Imaging Studies. WCI 2015: 163-168 - 2014
- [c6]Krishna P. Miyapuram, Ujjval Pamnani, Kenji Doya, Raju S. Bapi:
Inter Subject Correlation of Brain Activity during Visuo-Motor Sequence Learning. ICONIP (1) 2014: 35-41 - 2013
- [c5]Krishna Prasad Miyapuram, Wolfram Schultz, Philippe N. Tobler:
Predicting the imagined contents using brain activation. NCVPRIPG 2013: 1-3 - 2012
- [j3]Chandrasekhar V. S. Pammi, Krishna P. Miyapuram, Ahmed, Kazuyuki Samejima, Raju S. Bapi, Kenji Doya:
Changing the structure of complex visuo-motor sequences selectively activates the fronto-parietal network. NeuroImage 59(2): 1180-1189 (2012) - [j2]Krishna P. Miyapuram, Philippe N. Tobler, Lucy Gregorios-Pippas, Wolfram Schultz:
BOLD responses in reward regions to hypothetical and imaginary monetary rewards. NeuroImage 59(2): 1692-1699 (2012) - [c4]Neeraj Kumar, Jaison A. Manjaly, Krishna P. Miyapuram:
Role of Error Monitoring Mechanisms in Attribution of Sense of Self-Agency. CogSci 2012
2000 – 2009
- 2007
- [c3]Vishwajeet Singh, Krishna P. Miyapuram, Raju S. Bapi:
Detection of Cognitive States from fMRI Data Using Machine Learning Techniques. IJCAI 2007: 587-592 - 2006
- [j1]Raju S. Bapi, Krishna P. Miyapuram, F. X. Graydon, Kenji Doya:
fMRI investigation of cortical and subcortical networks in the learning of abstract and effector-specific representations of motor sequences. NeuroImage 32(2): 714-727 (2006) - [c2]Krishna P. Miyapuram, Raju S. Bapi, Chandrasekhar V. S. Pammi, Ahmed, Kenji Doya:
Hierarchical Chunking during Learning of Visuomotor Sequences. IJCNN 2006: 249-253 - 2004
- [c1]Chandrasekhar V. S. Pammi, Krishna P. Miyapuram, Raju S. Bapi, Kenji Doya:
Chunking Phenomenon in Complex Sequential Skill Learning in Humans. ICONIP 2004: 294-299
Coauthor Index
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