Підписатись
Rig Das
Rig Das
Instructor and Research Scientist, University of Nebraska Medical Center (UNMC)
Підтверджена електронна адреса в unmc.edu - Домашня сторінка
Назва
Посилання
Посилання
Рік
Convolutional neural network for finger-vein-based biometric identification
R Das, E Piciucco, E Maiorana, P Campisi
IEEE Transactions on Information Forensics and Security 14 (2), 360-373, 2018
1642018
A survey on deep learning advances on different 3D data representations
E Ahmed, A Saint, AER Shabayek, K Cherenkova, R Das, G Gusev, ...
arXiv preprint arXiv:1808.01462, 2018
1012018
A novel steganography method for image based on Huffman Encoding
R Das, T Tuithung
2012 3rd National Conference on Emerging Trends and Applications in Computer …, 2012
982012
EEG Biometrics Using Visual Stimuli: A Longitudinal Study
R Das, E Maiorana, P Campisi
IEEE Signal Processing Letters 23 (3), 341-345, 2016
602016
Review on motor imagery based BCI systems for upper limb post-stroke neurorehabilitation: From designing to application
MA Khan, R Das, HK Iversen, S Puthusserypady
Computers in Biology and Medicine 123, 103843, 2020
452020
Visually Evoked Potential for EEG Biometrics using Convolutional Neural Network
R Das, E Maiorana, P Campisi
25th European Signal Processing Conference (EUSIPCO), 2017, 951-955, 2017
352017
EEG biometrics for user recognition using visually evoked potentials
R Das, E Maiorana, D La Rocca, P Campisi
2015 International Conference of the Biometrics Special Interest Group …, 2015
352015
Motor imagery for EEG biometrics using convolutional neural network
R Das, E Maiorana, P Campisi
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
282018
Visually evoked potentials for EEG biometric recognition
R Das, E Piciucco, E Maiorana, P Campisi
Sensing, Processing and Learning for Intelligent Machines (SPLINE), 2016 …, 2016
122016
Fbcsp and adaptive boosting for multiclass motor imagery bci data classification: A machine learning approach
R Das, PS Lopez, MA Khan, HK Iversen, S Puthusserypady
2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2020
82020
A novel distributed image steganography method based on block-dct
R Koikara, DJ Deka, M Gogoi, R Das
Advanced Computer and Communication Engineering Technology, 423-435, 2015
82015
A novel steganalysis method based on histogram analysis
B Choudhury, R Das, A Baruah
Advanced Computer and Communication Engineering Technology, 779-789, 2015
72015
Deep learning advances on different 3D data representations: A survey. arXiv 2018
E Ahmed, A Saint, AER Shabayek, K Cherenkova, R Das, G Gusev, ...
arXiv preprint arXiv:1808.01462, 0
7
A review on “A Novel Technique for Image Steganography Based on Block-DCT and Huffman Encoding”
R Das, T Tuithung
Proc. SPIE 8768, 87687D-87687D-5, 2013
62013
Hybrid EEG-EOG-based BCI system for Vehicle Control
SDT Olesen, R Das, MD Olsson, MA Khan, S Puthusserypady
2021 9th International Winter Conference on Brain-Computer Interface (BCI), 1-6, 2021
52021
Facial landmark point localization using coarse-to-fine deep recurrent neural network
S Mahpod, R Das, E Maiorana, Y Keller, P Campisi
52019
Facial landmarks localization using cascaded neural networks
S Mahpod, R Das, E Maiorana, Y Keller, P Campisi
Computer Vision and Image Understanding 205, 103171, 2021
42021
Hyperspectral image classification based on quadratic Fisher's discriminant analysis and multi-class support vector machine
R Das, R Dash, B Majhi
IETE Journal of Research 60 (6), 406-413, 2014
22014
EEG-based BCI systems for neurorehabilitation applications
MA Khan, R Das, JP Hansen, S Puthusserypady
Brain and Behavior Computing, 189-219, 2021
12021
Motor Imagery EEG Signal Classification for Stroke Survivors Rehabilitation
AE Voinas, R Das, MA Khan, I Brunner, S Puthusserypady
2022 10th International Winter Conference on Brain-Computer Interface (BCI), 1-5, 2022
2022
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