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Dr Sreeja S R
Dr Sreeja S R
Assistant Professor, Department of Computer Science and Engineering, IIIT Sri City
Verified email at iiits.in - Homepage
Title
Cited by
Cited by
Year
Removal of Eye Blink Artifacts from EEG Signals using Sparsity
SR Sreeja, RR Sahay, D Samanta, P Mitra
IEEE Journal of Biomedical and Health Informatics 22 (5), 1362 - 1372, 2017
722017
Motor Imagery EEG Signal Processing and Classification using Machine Learning Approach
SR Sreeja, D Samanta, P Mitra, M Sarma
Jordanian Journal of Computers and Information Technology (JJCIT) 4 (02), 80-93, 2018
592018
Motor imagery EEG signal processing and classification using machine learning approach
Sreeja SR, J Rabha, KY Nagarjuna, D Samanta, P Mitra, M Sarma
2017 International Conference on New Trends in Computing Sciences (ICTCS), 61-66, 2017
592017
Classification of multiclass motor imagery EEG signal using sparsity approach
SR Sreeja, D Samanta
Neurocomputing 368, 133-145, 2019
482019
Classification of motor imagery based EEG signals using sparsity approach
SR Sreeja, J Rabha, D Samanta, P Mitra, M Sarma
Intelligent Human Computer Interaction: 9th International Conference, IHCI …, 2017
382017
Classification of EEG signals for cognitive load estimation using deep learning architectures
A Saha, V Minz, S Bonela, SR Sreeja, R Chowdhury, D Samanta
Intelligent Human Computer Interaction: 10th International Conference, IHCI …, 2018
362018
Distance-based weighted sparse representation to classify motor imagery EEG signals for BCI applications
SR Sreeja, Himanshu, D Samanta
Multimedia Tools and Applications, 2020
342020
Multi-cohort whale optimization with search space tightening for engineering optimization problems
S Rajmohan, E Elakkiya, SR Sreeja
Neural Computing and Applications 35 (12), 8967-8986, 2023
152023
BCI augmented text entry mechanism for people with special needs
SR Sreeja, V Joshi, S Samima, A Saha, J Rabha, BS Cheema, ...
Intelligent Human Computer Interaction: 8th International Conference, IHCI …, 2017
14*2017
A deep learning approach to automated sleep stages classification using Multi-Modal Signals
SK Satapathy, HK Kondaveeti, SR Sreeja, H Madhani, N Rajput, D Swain
Procedia Computer Science 218, 867-876, 2023
132023
Weighted sparse representation for classification of motor imagery EEG signals
SR Sreeja, Himanshu, D Samanta, M Sarma
2019 41st Annual International Conference of the IEEE Engineering in …, 2019
82019
An automated approach for task evaluation using EEG signals
V Anand, SR Sreeja, D Samanta
arXiv preprint arXiv:1911.02966, 2019
52019
An automated system for sleep staging using EEG brain signals based on a machine learning approach
SK Satapathy, HK Kondaveeti, SR Sreeja
IEEE INDICON 2022, 1-6, 2022
42022
Opinion mining on COVID-19 vaccines in India using deep and machine learning approaches
TK Balaji, A Bablani, SR Sreeja
2022 International Conference on Innovative Trends in Information Technology …, 2022
42022
Dictionary Learning and Greedy Algorithms for removing Eye Blink Artifacts from EEG Signals
SR Sreeja, S Rajmohan, MS Sodhi, D Samanta, P Mitra
Circuits, Systems, and Signal Processing, 2023
32023
Emotion Recognition from Brain Signals While Subjected to Music Videos
PYK Apparasu, SR Sreeja
International Conference on Intelligent Human Computer Interaction, 772-782, 2021
32021
Dictionary Reduction in Sparse Representation-based Classification of Motor Imagery EEG Signals
SR Sreeja, D Samanta
Multimedia Tools and Applications, 2023
22023
Development of Efficient Ensemble Model based on Stacking Learning for Automated Sleep Staging
S S. K, K H. K, SR Sreeja
2022 International Conference on Innovation and Intelligence for Informatics …, 2022
22022
Classification of Motor Imagery based EEG signals using Ensemble model
S Bandi, SR Sreeja, A Bablani
2024 3rd International Conference for Innovation in Technology (INOCON), 1-6, 2024
12024
Sensecor: A framework for COVID-19 variants severity classification and symptoms detection
TK Balaji, A Bablani, SR Sreeja, H Misra
Evolving Systems 15 (1), 65-82, 2024
12024
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