Georgios N. Dimitrakopoulos

33 papers B 3C 4Misc 1Journal 8Unranked 15

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	Feature-Level Explainability in EEG-Based Fatigue Detection Using LASSO and Functional Connectivity. IEEE Big Data Stavros Theofanis Miloulis, Ioannis Kakkos, Christina Kaliampakou, Ioannis Zorzos, Georgios N. Dimitrakopoulos, Ioannis A. Vezakis, Ioannis N. Kouris, Athanasios Anastasiou, George K. Matsopoulos
2024	J	`jnl`	Editorial: Bioinformatics for modern neuroscience. Frontiers Comput. Neurosci. Georgios N. Dimitrakopoulos, Mathieu Di Miceli
2024	J	`jnl`	Individual Variability in Brain Connectivity Patterns and Driving-Fatigue Dynamics. Sensors Olympia Giannakopoulou, Ioannis Kakkos, Georgios N. Dimitrakopoulos, Marilena Tarousi, Yu Sun, Anastasios Bezerianos, Dimitrios D. Koutsouris, George K. Matsopoulos
2024	—	`conf`	Integrating Machine Learning and Biological Context for Single-Cell Gene Regulatory Network Inference. AIAI (Workshops) Dimitris E. Koumadorakis, Georgios N. Dimitrakopoulos, Themis P. Exarchos, Panagiotis Vlamos, Aristidis G. Vrahatis
2023	B	`conf`	A Graph-Based Approach to Integrate Large-Scale Drug and Protein Data for Alzheimer's Disease Drug Repurposing. IEEE Big Data Georgios N. Dimitrakopoulos, Konstantinos Lazaros, Marios G. Krokidis, Themis P. Exarchos, Aristidis G. Vrahatis, Panagiotis Vlamos
2023	B	`conf`	Advanced Big Data Analysis for Deciphering the Role of Protein Misfolding and Interactions in the Pathogenesis of Alzheimer's Disease. IEEE Big Data Marios G. Krokidis, Georgios N. Dimitrakopoulos, Themis P. Exarchos, Aristidis G. Vrahatis, Panagiotis Vlamos
2023	J	`jnl`	Challenges and limitations in computational prediction of protein misfolding in neurodegenerative diseases. Frontiers Comput. Neurosci. Marios G. Krokidis, Georgios N. Dimitrakopoulos, Aristidis G. Vrahatis, Themis P. Exarchos, Panagiotis Vlamos
2022	J	`jnl`	A Sensor-Based Perspective in Early-Stage Parkinson's Disease: Current State and the Need for Machine Learning Processes. Sensors Marios G. Krokidis, Georgios N. Dimitrakopoulos, Aristidis G. Vrahatis, Christos Tzouvelekis, Dimitrios Drakoulis, Foteini Papavassileiou, Themis P. Exarchos, Panayiotis M. Vlamos
2021	J	`jnl`	EEG Fingerprints of Task-Independent Mental Workload Discrimination. IEEE J. Biomed. Health Informatics Ioannis Kakkos, Georgios N. Dimitrakopoulos, Yi Sun, Jingjia Yuan, George K. Matsopoulos, Anastasios Bezerianos, Yu Sun
2021	J	`jnl`	PICKLE 3.0: enriching the human meta-database with the mouse protein interactome extended via mouse-human orthology. Bioinform. Georgios N. Dimitrakopoulos, Maria I. Klapa, Nicholas K. Moschonas
2021	—	`conf`	Recent Dimensionality Reduction Techniques for Visualizing High-Dimensional Parkinson's Disease Omics Data. IEEE BigData Marios G. Krokidis, Georgios N. Dimitrakopoulos, Aristidis G. Vrahatis, Themis P. Exarchos, Panagiotis Vlamos
2021	J	`jnl`	XGRN: Reconstruction of Biological Networks Based on Boosted Trees Regression. Comput. Georgios N. Dimitrakopoulos
2020	—	`conf`	A Machine Learning fMRI Approach in the Diagnosis of Autism. IEEE BigData Aikaterini Karampasi, Ioannis Kakkos, Stavros Theofanis Miloulis, Ioannis Zorzos, Georgios N. Dimitrakopoulos, Kostakis Gkiatis, Panteleimon Asvestas, George K. Matsopoulos
2020	—	`conf`	Evaluating Memory and Cognition via a Wearable EEG System: A Preliminary Study. MobiHealth Stavros Theofanis Miloulis, Ioannis Kakkos, Georgios N. Dimitrakopoulos, Yu Sun, Irene S. Karanasiou, Panteleimon Asvestas, Errikos-Chaim Ventouras, George K. Matsopoulos
2020	—	`ch.`	Human-Machine Interfaces for Motor Rehabilitation. Advanced Computational Intelligence in Healthcare (7) Ioannis Kakkos, Stavros Theofanis Miloulis, Kostakis Gkiatis, Georgios N. Dimitrakopoulos, George K. Matsopoulos
2019	C	`conf`	A single-cell Systems Biology approach for disease-specific subpathway extraction. CIBCB Aristidis G. Vrahatis, Georgios N. Dimitrakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos
2019	C	`conf`	Enhancing Clustering of Single-Cell RNA-Seq Data by Proximity Learning on Random Projected Spaces. BIBE Aristidis G. Vrahatis, Georgios N. Dimitrakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos
2019	—	`conf`	Single-cell regulatory network inference and clustering from high-dimensional sequencing data. IEEE BigData Aristidis G. Vrahatis, Georgios N. Dimitrakopoulos, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos
2019	C	`conf`	Visualizing High-Dimensional Single-Cell RNA-seq Data via Random Projections and Geodesic Distances. CIBCB Aristidis G. Vrahatis, Sotiris K. Tasoulis, Georgios N. Dimitrakopoulos, Vassilis P. Plagianakos
2019	J	`jnl`	What Are Spectral and Spatial Distributions of EEG-EMG Correlations in Overground Walking? An Exploratory Study. IEEE Access Junhua Li, Georgios N. Dimitrakopoulos, Pavithra Thangavel, Gong Chen, Yu Sun, Zhao Guo, Haoyong Yu, Nitish V. Thakor, Anastasios Bezerianos
2018	—	`—`	Machine learning methods on large scale data with application in network analysis in molecular biology and neuroscience, Μέθοδοι μηχανικής εκμάθησης από δεδομένα μεγάλης κλίμακας με εφαρμογή στην ανάλυση δικτύων της μοριακής βιολογίας και των νευροεπιστημών Georgios N. Dimitrakopoulos
2018	—	`conf`	Pathway analysis using XGBoost classification in Biomedical Data. SETN Georgios N. Dimitrakopoulos, Aristidis G. Vrahatis, Vassilis P. Plagianakos, Kyriakos N. Sgarbas
2017	—	`conf`	A mental fatigue index based on regression using mulitband EEG features with application in simulated driving. EMBC Georgios N. Dimitrakopoulos, Ioannis Kakkos, Nitish V. Thakor, Anastasios Bezerianos, Yu Sun
2017	C	`conf`	Driving Mental Fatigue Classification Based on Brain Functional Connectivity. EANN Georgios N. Dimitrakopoulos, Ioannis Kakkos, Aristidis G. Vrahatis, Kyriakos N. Sgarbas, Junhua Li, Yu Sun, Anastasios Bezerianos
2017	—	`conf`	Identification of gait-related brain activity using electroencephalographic signals. NER Jingwen Chai, Gong Chen, Pavithra Thangavel, Georgios N. Dimitrakopoulos, Ioannis Kakkos, Yu Sun, Zhongxiang Dai, Haoyong Yu, Nitish V. Thakor, Anastasios Bezerianos, Junhua Li
2016	—	`conf`	Identifying disease network perturbations through regression on gene expression and pathway topology analysis. EMBC Georgios N. Dimitrakopoulos, Panos Balomenos, Aristidis G. Vrahatis, Kyriakos N. Sgarbas, Anastasios Bezerianos
2015	—	`conf`	Age-related subpathway detection through meta-analysis of multiple gene expression datasets. DSP Georgios N. Dimitrakopoulos, Aristidis G. Vrahatis, Panos Balomenos, Kyriakos N. Sgarbas, Anastasios Bezerianos
2015	—	`conf`	Identifying miRNA-mediated signaling subpathways by integrating paired miRNA/mRNA expression data with pathway topology. EMBC Aristidis G. Vrahatis, Georgios N. Dimitrakopoulos, Athanasios K. Tsakalidis, Anastasios Bezerianos
2014	Misc	`conf`	A Clustering based Method Accelerating Gene Regulatory Network Reconstruction. ICCS Georgios N. Dimitrakopoulos, Ioannis A. Maraziotis, Kyriakos N. Sgarbas, Anastasios Bezerianos
2014	—	`conf`	Supervised method for construction of microRNA-mRNA networks: Application in cardiac tissue aging dataset. EMBC Georgios N. Dimitrakopoulos, Konstantina Dimitrakopoulou, Ioannis A. Maraziotis, Kyriakos N. Sgarbas, Anastasios Bezerianos
2012	—	`conf`	Gene Ontology Semi-supervised Possibilistic Clustering of Gene Expression Data. SETN Ioannis A. Maraziotis, Georgios N. Dimitrakopoulos, Anastasios Bezerianos
2012	—	`conf`	Multi-scale modeling of gene regulatory networks via integration of temporal and topological biological data. EMBC Georgios N. Dimitrakopoulos, Kyriakos N. Sgarbas, Konstantina Dimitrakopoulou, Andrei Dragomir, Anastasios Bezerianos, Ioannis A. Maraziotis
2012	—	`conf`	Revealing the dynamic modularity of composite biological networks in breast cancer treatment. EMBC Konstantina Dimitrakopoulou, Georgios N. Dimitrakopoulos, Evangelia I. Zacharaki, Ioannis A. Maraziotis, Kyriakos N. Sgarbas, Anastasios Bezerianos