Georgios N. Dimitrakopoulos

Orcid: 0000-0002-7817-9552

According to our database1, Georgios N. Dimitrakopoulos authored at least 32 papers between 2012 and 2024.

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

Timeline

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PhD thesis 
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Bibliography

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

Editorial: Bioinformatics for modern neuroscience.
Frontiers Comput. Neurosci., 2024

Integrating Machine Learning and Biological Context for Single-Cell Gene Regulatory Network Inference.
Proceedings of the Artificial Intelligence Applications and Innovations. AIAI 2024 IFIP WG 12.5 International Workshops, 2024

2023
Challenges and limitations in computational prediction of protein misfolding in neurodegenerative diseases.
Frontiers Comput. Neurosci., 2023

Advanced Big Data Analysis for Deciphering the Role of Protein Misfolding and Interactions in the Pathogenesis of Alzheimer's Disease.
Proceedings of the IEEE International Conference on Big Data, 2023

A Graph-Based Approach to Integrate Large-Scale Drug and Protein Data for Alzheimer's Disease Drug Repurposing.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
A Sensor-Based Perspective in Early-Stage Parkinson's Disease: Current State and the Need for Machine Learning Processes.
Sensors, 2022

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

XGRN: Reconstruction of Biological Networks Based on Boosted Trees Regression.
Comput., 2021

PICKLE 3.0: enriching the human meta-database with the mouse protein interactome extended via mouse-human orthology.
Bioinform., 2021

Recent Dimensionality Reduction Techniques for Visualizing High-Dimensional Parkinson's Disease Omics Data.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

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

2019
What Are Spectral and Spatial Distributions of EEG-EMG Correlations in Overground Walking? An Exploratory Study.
IEEE Access, 2019

Visualizing High-Dimensional Single-Cell RNA-seq Data via Random Projections and Geodesic Distances.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2019

A single-cell Systems Biology approach for disease-specific subpathway extraction.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2019

Single-cell regulatory network inference and clustering from high-dimensional sequencing data.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Enhancing Clustering of Single-Cell RNA-Seq Data by Proximity Learning on Random Projected Spaces.
Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019

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
PhD thesis, 2018

Pathway analysis using XGBoost classification in Biomedical Data.
Proceedings of the 10th Hellenic Conference on Artificial Intelligence, 2018

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

2016
Identifying disease network perturbations through regression on gene expression and pathway topology analysis.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
Age-related subpathway detection through meta-analysis of multiple gene expression datasets.
Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015

Identifying miRNA-mediated signaling subpathways by integrating paired miRNA/mRNA expression data with pathway topology.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
A Clustering based Method Accelerating Gene Regulatory Network Reconstruction.
Proceedings of the International Conference on Computational Science, 2014

Supervised method for construction of microRNA-mRNA networks: Application in cardiac tissue aging dataset.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2012
Gene Ontology Semi-supervised Possibilistic Clustering of Gene Expression Data.
Proceedings of the Artificial Intelligence: Theories and Applications, 2012

Revealing the dynamic modularity of composite biological networks in breast cancer treatment.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Multi-scale modeling of gene regulatory networks via integration of temporal and topological biological data.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012


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