Ioannis Kakkos

According to our database, Ioannis Kakkos authored at least 13 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

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

Zhao Feng, Sujie Wang, Linze Qian, Mengru Xu, Kuijun Wu, Ioannis Kakkos, Cuntai Guan, Yu Sun

NeuroImage, November, 2023

Individualized Prediction of Task Performance Decline Using Pre-Task Resting-State Functional Connectivity.

Peng Qi, Xiaobing Zhang, Ioannis Kakkos, Kuijun Wu, Sujie Wang, Jingjia Yuan, Lingyun Gao, George K. Matsopoulos, Yu Sun

IEEE J. Biomed. Health Informatics, October, 2023

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

Vaia I. Kontopoulou, Athanasios D. Panagopoulos, Ioannis Kakkos, George K. Matsopoulos

Future Internet, 2023

A computational and experimental mechanical study of nanocomposites for 3D printed scaffolds with a new geometry.

Spyridon V. Kallivokas, Lykouros Kontaxis, Ioannis Kakkos, Deligianni Deligianni, Vassilis Kostopoulos, Matsopoulos K. Matsopoulos

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.

Yi Sun, Zhe Zhang, Ioannis Kakkos, George K. Matsopoulos, Jingjia Yuan, John Suckling, Luoyi Xu, Shuxia Cao, Wenjuan Chen, Xingyue Hu, Tao Li, Kang Sim, Peng Qi, Yu Sun

IEEE J. Biomed. Health Informatics, 2022

2021

EEG Fingerprints of Task-Independent Mental Workload Discrimination.

Ioannis Kakkos, Georgios N. Dimitrakopoulos, Yi Sun, Jingjia Yuan, George K. Matsopoulos, Anastasios Bezerianos, Yu Sun

IEEE J. Biomed. Health Informatics, 2021

2020

Human-Machine Interfaces for Motor Rehabilitation.

Ioannis Kakkos, Stavros Theofanis Miloulis, Kostakis Gkiatis, Georgios N. Dimitrakopoulos, George K. Matsopoulos

Proceedings of the Advanced Computational Intelligence in Healthcare - 7, 2020

A condition-independent framework for the classification of error-related brain activity.

Ioannis Kakkos, Errikos M. Ventouras, Pantelis A. Asvestas, Irene S. Karanasiou, George K. Matsopoulos

Medical Biol. Eng. Comput., 2020

Evaluating Memory and Cognition via a Wearable EEG System: A Preliminary Study.

Stavros Theofanis Miloulis, Ioannis Kakkos, Georgios N. Dimitrakopoulos, Yu Sun, Irene S. Karanasiou, Panteleimon Asvestas, Errikos-Chaim Ventouras, George K. Matsopoulos

Proceedings of the Wireless Mobile Communication and Healthcare, 2020

A Machine Learning fMRI Approach in the Diagnosis of Autism.

Aikaterini Karampasi, Ioannis Kakkos, Stavros Theofanis Miloulis, Ioannis Zorzos, Georgios N. Dimitrakopoulos, Kostakis Gkiatis, Panteleimon Asvestas, George K. Matsopoulos

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2017

Identification of gait-related brain activity using electroencephalographic signals.

Jingwen Chai, Gong Chen, Pavithra Thangavel, Georgios N. Dimitrakopoulos, Ioannis Kakkos, Yu Sun, Zhongxiang Dai, Haoyong Yu, Nitish V. Thakor, Anastasios Bezerianos, Junhua Li

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.

Georgios N. Dimitrakopoulos, Ioannis Kakkos, Nitish V. Thakor, Anastasios Bezerianos, Yu Sun

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.

Georgios N. Dimitrakopoulos, Ioannis Kakkos, Aristidis G. Vrahatis, Kyriakos N. Sgarbas, Junhua Li, Yu Sun, Anastasios Bezerianos

Proceedings of the Engineering Applications of Neural Networks, 2017