Expectation Maximization Based PCA and Hessian LLE with Suitable Post Classifiers for Epilepsy Classification from EEG Signals. - Sunil Kumar Prabhakar; Harikumar Rajaguru (SoCPaR, 2016)

Conceptual analysis of epilepsy classification using probabilistic mixture models. - Sunil Kumar Prabhakar; Harikumar Rajaguru (BCI, 2017)

A Comprehensive Analysis of Alcoholic EEG Signals with Detrend Fluctuation Analysis and Post Classifiers. - Sunil Kumar Prabhakar; Harikumar Rajaguru; Seong-Whan Lee (BCI, 2019)

Metaheuristic-Based Dimensionality Reduction and Classification Analysis of PPG Signals for Interpreting Cardiovascular Disease. - Sunil Kumar Prabhakar; Harikumar Rajaguru; Seong-Whan Lee (IEEE Access, 2019)

Eigen Vector Method with Swarm and Non Swarm Intelligence Techniques for Epileptic Seizure Classification. - Sunil Kumar Prabhakar; Harikumar Rajaguru; Seong-Whan Lee (BCI, 2020)

Transformation Based Tri-Level Feature Selection Approach Using Wavelets and Swarm Computing for Prostate Cancer Classification. - Sunil Kumar Prabhakar; Seong-Whan Lee (IEEE Access, 2020)

An Integrated Approach for Ovarian Cancer Classification With the Application of Stochastic Optimization. - Sunil Kumar Prabhakar; Seong-Whan Lee (IEEE Access, 2020)

A Framework for Schizophrenia EEG Signal Classification With Nature Inspired Optimization Algorithms. - Sunil Kumar Prabhakar; Harikumar Rajaguru; Seong-Whan Lee (IEEE Access, 2020)

Schizophrenia EEG Signal Classification Based on Swarm Intelligence Computing. - Sunil Kumar Prabhakar; Harikumar Rajaguru; Sun-Hee Kim (Comput. Intell. Neurosci., 2020)

Medical Text Classification Using Hybrid Deep Learning Models with Multihead Attention. - Sunil Kumar Prabhakar; Dong-Ok Won (Comput. Intell. Neurosci., 2021)

Performance Analysis of Hybrid Deep Learning Models with Attention Mechanism Positioning and Focal Loss for Text Classification. - Sunil Kumar Prabhakar; Harikumar Rajaguru; Dong-Ok Won (Sci. Program., 2021)

ENIC: Ensemble and Nature Inclined Classification with Sparse Depiction based Deep and Transfer Learning for Biosignal Classification. - Sunil Kumar Prabhakar; Seong-Whan Lee (Appl. Soft Comput., 2022)

Improved Sparse Representation based Robust Hybrid Feature Extraction Models with Transfer and Deep Learning for EEG Classification. - Sunil Kumar Prabhakar; Seong-Whan Lee (Expert Syst. Appl., 2022)

Sparse measures with swarm-based pliable hidden Markov model and deep learning for EEG classification. - Sunil Kumar Prabhakar; Young-Gi Ju; Harikumar Rajaguru; Dong-Ok Won (Frontiers Comput. Neurosci., 2022)

A Framework for Text Classification Using Evolutionary Contiguous Convolutional Neural Network and Swarm Based Deep Neural Network. - Sunil Kumar Prabhakar; Harikumar Rajaguru; Kwangsub So; Dong-Ok Won (Frontiers Comput. Neurosci., 2022)

A Holistic Strategy for Classification of Sleep Stages with EEG. - Sunil Kumar Prabhakar; Harikumar Rajaguru; Semin Ryu; In Cheol Jeong; Dong-Ok Won (Sensors, 2022)

WeDea: A New EEG-Based Framework for Emotion Recognition. - Sun-Hee Kim; Hyung-Jeong Yang; Thi Anh Ngoc Nguyen; Sunil Kumar Prabhakar; Seong-Whan Lee (IEEE J. Biomed. Health Informatics, 2022)

Holistic Approaches to Music Genre Classification using Efficient Transfer and Deep Learning Techniques. - Sunil Kumar Prabhakar; Seong-Whan Lee (Expert Syst. Appl., 2023)

Performance comparison of bio-inspired and learning-based clustering analysis with machine learning techniques for classification of EEG signals. - Sunil Kumar Prabhakar; Dong-Ok Won (Frontiers Artif. Intell., 2023)

Phonocardiogram signal classification for the detection of heart valve diseases using robust conglomerated models. - Sunil Kumar Prabhakar; Dong-Ok Won (Expert Syst. Appl., 2023)

Multiple robust approaches for EEG-based driving fatigue detection and classification. - Sunil Kumar Prabhakar; Dong-Ok Won (Array, 2023)

SCMs: Systematic Conglomerated Models for Audio Cough Signal Classification. - Sunil Kumar Prabhakar; Dong-Ok Won (Algorithms, 2024)

HM-GDM: Hybrid Measures and Graph-Dependent Modeling for Environmental Sound Classification. - Sunil Kumar Prabhakar; Young-Gi Ju; Dong-Ok Won (Int. J. Comput. Intell. Syst., 2024)

Parameter Pliable Variational Mode Decomposition and Clustering Based Gravitational Search Algorithm Techniques for Bird Sound Classification. - Sunil Kumar Prabhakar; Dogeun Park; Young-Gi Ju; Dong-Ok Won (ICACT, 2025)