Sunil Kumar Prabhakar
Orcid: 0000-0003-4019-2345
According to our database1,
Sunil Kumar Prabhakar
authored at least 21 papers
between 2016 and 2023.
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Bibliography
2023
Multiple robust approaches for EEG-based driving fatigue detection and classification.
Array, September, 2023
Phonocardiogram signal classification for the detection of heart valve diseases using robust conglomerated models.
Expert Syst. Appl., July, 2023
Performance comparison of bio-inspired and learning-based clustering analysis with machine learning techniques for classification of EEG signals.
Frontiers Artif. Intell., February, 2023
Holistic Approaches to Music Genre Classification using Efficient Transfer and Deep Learning Techniques.
Expert Syst. Appl., 2023
2022
IEEE J. Biomed. Health Informatics, 2022
A Framework for Text Classification Using Evolutionary Contiguous Convolutional Neural Network and Swarm Based Deep Neural Network.
Frontiers Comput. Neurosci., 2022
Sparse measures with swarm-based pliable hidden Markov model and deep learning for EEG classification.
Frontiers Comput. Neurosci., 2022
Improved Sparse Representation based Robust Hybrid Feature Extraction Models with Transfer and Deep Learning for EEG Classification.
Expert Syst. Appl., 2022
ENIC: Ensemble and Nature Inclined Classification with Sparse Depiction based Deep and Transfer Learning for Biosignal Classification.
Appl. Soft Comput., 2022
2021
Performance Analysis of Hybrid Deep Learning Models with Attention Mechanism Positioning and Focal Loss for Text Classification.
Sci. Program., 2021
Medical Text Classification Using Hybrid Deep Learning Models with Multihead Attention.
Comput. Intell. Neurosci., 2021
2020
Comput. Intell. Neurosci., 2020
A Framework for Schizophrenia EEG Signal Classification With Nature Inspired Optimization Algorithms.
IEEE Access, 2020
An Integrated Approach for Ovarian Cancer Classification With the Application of Stochastic Optimization.
IEEE Access, 2020
Transformation Based Tri-Level Feature Selection Approach Using Wavelets and Swarm Computing for Prostate Cancer Classification.
IEEE Access, 2020
Eigen Vector Method with Swarm and Non Swarm Intelligence Techniques for Epileptic Seizure Classification.
Proceedings of the 8th International Winter Conference on Brain-Computer Interface, 2020
2019
Metaheuristic-Based Dimensionality Reduction and Classification Analysis of PPG Signals for Interpreting Cardiovascular Disease.
IEEE Access, 2019
A Comprehensive Analysis of Alcoholic EEG Signals with Detrend Fluctuation Analysis and Post Classifiers.
Proceedings of the 7th International Winter Conference on Brain-Computer Interface, 2019
2017
Proceedings of the 5th International Winter Conference on Brain-Computer Interface, 2017
2016
Expectation Maximization Based PCA and Hessian LLE with Suitable Post Classifiers for Epilepsy Classification from EEG Signals.
Proceedings of the Eighth International Conference on Soft Computing and Pattern Recognition, 2016