Ioannis Kakkos

Orcid: 0000-0001-8365-2140

According to our database1, Ioannis Kakkos authored at least 22 papers between 2017 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
A feasible machine learning framework for diagnosing stroke patients versus mimic conditions incorporating extracellular vesicle characterization and EHR features fusion.
Netw. Model. Anal. Health Informatics Bioinform., December, 2026

Enhanced sleep staging via cuckoo search optimized deep forest with grouped learning based on gender and age.
Biomed. Signal Process. Control., 2026

2025
Explaining E/MEG Source Imaging and Beyond: An Updated Review.
IEEE J. Biomed. Health Informatics, December, 2025

Rad-EfficientNet: Improving Breast MRI Diagnosis Through Integration of Radiomics and Deep Learning.
IEEE J. Biomed. Health Informatics, August, 2025

FBCPM: A Filter Bank Connectome-Based Predictive Modeling Framework for EEG Signals.
IEEE J. Biomed. Health Informatics, July, 2025

Brain Network Reorganization in Response to Multilevel Mental Workload in Simulated Flight Tasks.
IEEE Trans. Cogn. Dev. Syst., June, 2025

Symphy-Ten: A Hybrid Deep Learning Model for Automated Whole Spine Bone Marrow Segmentation in Whole-Body MRI.
Proceedings of the 2025 5th International Conference on Electrical, 2025

Feature-Level Explainability in EEG-Based Fatigue Detection Using LASSO and Functional Connectivity.
Proceedings of the IEEE International Conference on Big Data, 2025

2024
Individual Variability in Brain Connectivity Patterns and Driving-Fatigue Dynamics.
Sensors, June, 2024

2023
μ-STAR: A novel framework for spatio-temporal M/EEG source imaging optimized by microstates.
NeuroImage, November, 2023

Individualized Prediction of Task Performance Decline Using Pre-Task Resting-State Functional Connectivity.
IEEE J. Biomed. Health Informatics, October, 2023

A Review of ARIMA vs. Machine Learning Approaches for Time Series Forecasting in Data Driven Networks.
Future Internet, 2023

A computational and experimental mechanical study of nanocomposites for 3D printed scaffolds with a new geometry.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022
Inferring the Individual Psychopathologic Deficits With Structural Connectivity in a Longitudinal Cohort of Schizophrenia.
IEEE J. Biomed. Health Informatics, 2022

2021
EEG Fingerprints of Task-Independent Mental Workload Discrimination.
IEEE J. Biomed. Health Informatics, 2021

2020
Human-Machine Interfaces for Motor Rehabilitation.
Proceedings of the Advanced Computational Intelligence in Healthcare - 7, 2020

A condition-independent framework for the classification of error-related brain activity.
Medical Biol. Eng. Comput., 2020

Evaluating Memory and Cognition via a Wearable EEG System: A Preliminary Study.
Proceedings of the Wireless Mobile Communication and Healthcare, 2020

A Machine Learning fMRI Approach in the Diagnosis of Autism.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2017
Identification of gait-related brain activity using electroencephalographic signals.
Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering, 2017

A mental fatigue index based on regression using mulitband EEG features with application in simulated driving.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Driving Mental Fatigue Classification Based on Brain Functional Connectivity.
Proceedings of the Engineering Applications of Neural Networks, 2017


  Loading...