Georgios N. Dimitrakopoulos

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 21

Top Topics

Biomedical Data

Dimensionality Reduction

Saccharomyces Cerevisiae

Learning Process

Top Venues

Publications

Dimitris E. Koumadorakis, Georgios N. Dimitrakopoulos, Themis P. Exarchos, Panagiotis Vlamos, Aristidis G. Vrahatis
Integrating Machine Learning and Biological Context for Single-Cell Gene Regulatory Network Inference. AIAI Workshops (2024)
Olympia Giannakopoulou, Ioannis Kakkos, Georgios N. Dimitrakopoulos, Marilena Tarousi, Yu Sun, Anastasios Bezerianos, Dimitrios D. Koutsouris, George K. Matsopoulos
Individual Variability in Brain Connectivity Patterns and Driving-Fatigue Dynamics. Sensors 24 (12) (2024)
Marios G. Krokidis, Georgios N. Dimitrakopoulos, Themis P. Exarchos, Aristidis G. Vrahatis, Panagiotis Vlamos
Advanced Big Data Analysis for Deciphering the Role of Protein Misfolding and Interactions in the Pathogenesis of Alzheimer's Disease. BigData (2023)
Georgios N. Dimitrakopoulos, Konstantinos Lazaros, Marios G. Krokidis, Themis P. Exarchos, Aristidis G. Vrahatis, Panagiotis Vlamos
A Graph-Based Approach to Integrate Large-Scale Drug and Protein Data for Alzheimer's Disease Drug Repurposing. BigData (2023)
Marios G. Krokidis, Georgios N. Dimitrakopoulos, Aristidis G. Vrahatis, Christos Tzouvelekis, Dimitrios Drakoulis, Foteini Papavassileiou, Themis P. Exarchos, Panayiotis M. Vlamos
A Sensor-Based Perspective in Early-Stage Parkinson's Disease: Current State and the Need for Machine Learning Processes. Sensors 22 (2) (2022)
Marios G. Krokidis, Georgios N. Dimitrakopoulos, Aristidis G. Vrahatis, Themis P. Exarchos, Panagiotis Vlamos
Recent Dimensionality Reduction Techniques for Visualizing High-Dimensional Parkinson's Disease Omics Data. IEEE BigData (2021)
Georgios N. Dimitrakopoulos
XGRN: Reconstruction of Biological Networks Based on Boosted Trees Regression. Comput. 9 (4) (2021)
Georgios N. Dimitrakopoulos, Maria I. Klapa, Nicholas K. Moschonas
PICKLE 3.0: enriching the human meta-database with the mouse protein interactome extended via mouse-human orthology. Bioinform. 37 (1) (2021)
Ioannis Kakkos, Georgios N. Dimitrakopoulos, Yi Sun, Jingjia Yuan, George K. Matsopoulos, Anastasios Bezerianos, Yu Sun
EEG Fingerprints of Task-Independent Mental Workload Discrimination. IEEE J. Biomed. Health Informatics 25 (10) (2021)
Aikaterini Karampasi, Ioannis Kakkos, Stavros Theofanis Miloulis, Ioannis Zorzos, Georgios N. Dimitrakopoulos, Kostakis Gkiatis, Panteleimon Asvestas, George K. Matsopoulos
A Machine Learning fMRI Approach in the Diagnosis of Autism. IEEE BigData (2020)
Stavros Theofanis Miloulis, Ioannis Kakkos, Georgios N. Dimitrakopoulos, Yu Sun, Irene S. Karanasiou, Panteleimon Asvestas, Errikos-Chaim Ventouras, George K. Matsopoulos
Evaluating Memory and Cognition via a Wearable EEG System: A Preliminary Study. MobiHealth (2020)
Aristidis G. Vrahatis, Sotiris K. Tasoulis, Georgios N. Dimitrakopoulos, Vassilis P. Plagianakos
Visualizing High-Dimensional Single-Cell RNA-seq Data via Random Projections and Geodesic Distances. CIBCB (2019)
Aristidis G. Vrahatis, Georgios N. Dimitrakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos
A single-cell Systems Biology approach for disease-specific subpathway extraction. CIBCB (2019)
Junhua Li, Georgios N. Dimitrakopoulos, Pavithra Thangavel, Gong Chen, Yu Sun, Zhao Guo, Haoyong Yu, Nitish V. Thakor, Anastasios Bezerianos
What Are Spectral and Spatial Distributions of EEG-EMG Correlations in Overground Walking? An Exploratory Study. IEEE Access 7 (2019)
Aristidis G. Vrahatis, Georgios N. Dimitrakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos
Enhancing Clustering of Single-Cell RNA-Seq Data by Proximity Learning on Random Projected Spaces. BIBE (2019)
Aristidis G. Vrahatis, Georgios N. Dimitrakopoulos, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos
Single-cell regulatory network inference and clustering from high-dimensional sequencing data. IEEE BigData (2019)
Georgios N. Dimitrakopoulos, Aristidis G. Vrahatis, Vassilis P. Plagianakos, Kyriakos N. Sgarbas
Pathway analysis using XGBoost classification in Biomedical Data. SETN (2018)
Jingwen Chai, Gong Chen, Pavithra Thangavel, Georgios N. Dimitrakopoulos, Ioannis Kakkos, Yu Sun, Zhongxiang Dai, Haoyong Yu, Nitish V. Thakor, Anastasios Bezerianos, Junhua Li
Identification of gait-related brain activity using electroencephalographic signals. NER (2017)
Georgios N. Dimitrakopoulos, Ioannis Kakkos, Aristidis G. Vrahatis, Kyriakos N. Sgarbas, Junhua Li, Yu Sun, Anastasios Bezerianos
Driving Mental Fatigue Classification Based on Brain Functional Connectivity. EANN (2017)
Georgios N. Dimitrakopoulos, Ioannis Kakkos, Nitish V. Thakor, Anastasios Bezerianos, Yu Sun
A mental fatigue index based on regression using mulitband EEG features with application in simulated driving. EMBC (2017)
Georgios N. Dimitrakopoulos, Panos Balomenos, Aristidis G. Vrahatis, Kyriakos N. Sgarbas, Anastasios Bezerianos
Identifying disease network perturbations through regression on gene expression and pathway topology analysis. EMBC (2016)
Aristidis G. Vrahatis, Georgios N. Dimitrakopoulos, Athanasios K. Tsakalidis, Anastasios Bezerianos
Identifying miRNA-mediated signaling subpathways by integrating paired miRNA/mRNA expression data with pathway topology. EMBC (2015)
Georgios N. Dimitrakopoulos, Konstantina Dimitrakopoulou, Ioannis A. Maraziotis, Kyriakos N. Sgarbas, Anastasios Bezerianos
Supervised method for construction of microRNA-mRNA networks: Application in cardiac tissue aging dataset. EMBC (2014)