Marios G. Krokidis

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 6

Top Topics

Learning Process

Machine Learning

Biomarker Discovery

Data Integration

Top Venues

Publications

Aristidis G. Vrahatis, Konstantina Skolariki, Marios G. Krokidis, Konstantinos Lazaros, Themis P. Exarchos, Panagiotis Vlamos
Revolutionizing the Early Detection of Alzheimer's Disease through Non-Invasive Biomarkers: The Role of Artificial Intelligence and Deep Learning. Sensors 23 (9) (2023)
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)
Aristidis G. Vrahatis, Konstantinos Lazaros, Petros Paplomatas, Marios G. Krokidis, Themis P. Exarchos, Panagiotis Vlamos
Applying SCALEX scRNA-Seq Data Integration for Precise Alzheimer's Disease Biomarker Discovery. AIAI Workshops (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)