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Georgios N. Dimitrakopoulos
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2020 – today
- 2024
- [j8]Georgios N. Dimitrakopoulos, Mathieu Di Miceli:
Editorial: Bioinformatics for modern neuroscience. Frontiers Comput. Neurosci. 18 (2024) - [j7]Olympia Giannakopoulou, Ioannis Kakkos
, Georgios N. Dimitrakopoulos
Individual Variability in Brain Connectivity Patterns and Driving-Fatigue Dynamics. Sensors 24(12): 3894 (2024) - [c22]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: 250-260 - 2023
- [j6]Marios G. Krokidis, Georgios N. Dimitrakopoulos, Aristidis G. Vrahatis, Themis P. Exarchos, Panagiotis Vlamos:
Challenges and limitations in computational prediction of protein misfolding in neurodegenerative diseases. Frontiers Comput. Neurosci. 17 (2023) - [c21]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. IEEE Big Data 2023: 4584-4587 - [c20]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. IEEE Big Data 2023: 4614-4617 - 2022
- [j5]Marios G. Krokidis, Georgios N. Dimitrakopoulos
A Sensor-Based Perspective in Early-Stage Parkinson's Disease: Current State and the Need for Machine Learning Processes. Sensors 22(2): 409 (2022) - 2021
- [j4]Georgios N. Dimitrakopoulos
PICKLE 3.0: enriching the human meta-database with the mouse protein interactome extended via mouse-human orthology. Bioinform. 37(1): 145-146 (2021) - [j3]Georgios N. Dimitrakopoulos
XGRN: Reconstruction of Biological Networks Based on Boosted Trees Regression. Comput. 9(4): 48 (2021) - [j2]Ioannis Kakkos, Georgios N. Dimitrakopoulos
EEG Fingerprints of Task-Independent Mental Workload Discrimination. IEEE J. Biomed. Health Informatics 25(10): 3824-3833 (2021) - [c19]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: 4460-4463 - 2020
- [c18]Aikaterini Karampasi
A Machine Learning fMRI Approach in the Diagnosis of Autism. IEEE BigData 2020: 3628-3631 - [c17]Stavros Theofanis Miloulis
Evaluating Memory and Cognition via a Wearable EEG System: A Preliminary Study. MobiHealth 2020: 52-66 - [p1]Ioannis Kakkos, Stavros Theofanis Miloulis
Human-Machine Interfaces for Motor Rehabilitation. Advanced Computational Intelligence in Healthcare (7) 2020: 1-16
2010 – 2019
- 2019
- [j1]Junhua Li
What Are Spectral and Spatial Distributions of EEG-EMG Correlations in Overground Walking? An Exploratory Study. IEEE Access 7: 143935-143946 (2019) - [c16]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: 846-849 - [c15]Aristidis G. Vrahatis, Georgios N. Dimitrakopoulos, Sotiris K. Tasoulis, Spiros V. Georgakopoulos
Single-cell regulatory network inference and clustering from high-dimensional sequencing data. IEEE BigData 2019: 2782-2789 - [c14]Aristidis G. Vrahatis, Georgios N. Dimitrakopoulos
A single-cell Systems Biology approach for disease-specific subpathway extraction. CIBCB 2019: 1-7 - [c13]Aristidis G. Vrahatis, Sotiris K. Tasoulis, Georgios N. Dimitrakopoulos
Visualizing High-Dimensional Single-Cell RNA-seq Data via Random Projections and Geodesic Distances. CIBCB 2019: 1-6 - 2018
- [b1]Georgios N. Dimitrakopoulos:
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. University of Patras, Greece, 2018 - [c12]Georgios N. Dimitrakopoulos
Pathway analysis using XGBoost classification in Biomedical Data. SETN 2018: 46:1-46:6 - 2017
- [c11]Georgios N. Dimitrakopoulos
Driving Mental Fatigue Classification Based on Brain Functional Connectivity. EANN 2017: 465-474 - [c10]Georgios N. Dimitrakopoulos
A mental fatigue index based on regression using mulitband EEG features with application in simulated driving. EMBC 2017: 3220-3223 - [c9]Jingwen Chai, Gong Chen, Pavithra Thangavel, Georgios N. Dimitrakopoulos
Identification of gait-related brain activity using electroencephalographic signals. NER 2017: 548-551 - 2016
- [c8]Georgios N. Dimitrakopoulos
Identifying disease network perturbations through regression on gene expression and pathway topology analysis. EMBC 2016: 5969-5972 - 2015
- [c7]Aristidis G. Vrahatis, Georgios N. Dimitrakopoulos
Identifying miRNA-mediated signaling subpathways by integrating paired miRNA/mRNA expression data with pathway topology. EMBC 2015: 3997-4000 - [c6]Georgios N. Dimitrakopoulos
Age-related subpathway detection through meta-analysis of multiple gene expression datasets. DSP 2015: 539-542 - 2014
- [c5]Georgios N. Dimitrakopoulos
Supervised method for construction of microRNA-mRNA networks: Application in cardiac tissue aging dataset. EMBC 2014: 318-321 - [c4]Georgios N. Dimitrakopoulos
A Clustering based Method Accelerating Gene Regulatory Network Reconstruction. ICCS 2014: 1993-2002 - 2012
- [c3]Georgios N. Dimitrakopoulos
Multi-scale modeling of gene regulatory networks via integration of temporal and topological biological data. EMBC 2012: 1242-1245 - [c2]Konstantina Dimitrakopoulou
Revealing the dynamic modularity of composite biological networks in breast cancer treatment. EMBC 2012: 5432-5436 - [c1]Ioannis A. Maraziotis, Georgios N. Dimitrakopoulos
Gene Ontology Semi-supervised Possibilistic Clustering of Gene Expression Data. SETN 2012: 262-269
Coauthor Index
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last updated on 2024-10-07 21:20 CEST by the dblp team
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