Aristidis G. Vrahatis

According to our database, Aristidis G. Vrahatis authored at least 53 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

How natural language processing derived techniques are used on biological data: a systematic review.

Emmanouil D. Oikonomou, Petros S. Karvelis, Nikolaos Giannakeas, Aristidis G. Vrahatis, Evripidis Glavas, Alexandros T. Tzallas

Netw. Model. Anal. Health Informatics Bioinform., December, 2024

Graph Attention Networks: A Comprehensive Review of Methods and Applications.

Aristidis G. Vrahatis, Konstantinos Lazaros, Sotiris Kotsiantis

Future Internet, September, 2024

Predicting the Conversion from Mild Cognitive Impairment to Alzheimer's Disease Using an Explainable AI Approach.

Gerasimos Grammenos, Aristidis G. Vrahatis, Panagiotis Vlamos, Dean Palejev, Themis P. Exarchos, Alzheimer's Disease Neuroimaging Initiative

Inf., May, 2024

Graph neural network approaches for single-cell data: a recent overview.

Konstantinos Lazaros, Dimitris E. Koumadorakis, Panagiotis Vlamos, Aristidis G. Vrahatis

Neural Comput. Appl., 2024

A comprehensive review on zero-shot-learning techniques.

Konstantinos Lazaros, Dimitris E. Koumadorakis, Aristidis G. Vrahatis, Sotiris Kotsiantis

Intell. Decis. Technol., 2024

Advancing ScRNA-Seq Data Integration via a Novel Gene Selection Method.

Konstantinos Lazaros, Themis P. Exarchos, Ilias Maglogiannis, Panagiotis Vlamos, Aristidis G. Vrahatis

Proceedings of the Artificial Intelligence Applications and Innovations, 2024

Integrating Machine Learning and Biological Context for Single-Cell Gene Regulatory Network Inference.

Dimitris E. Koumadorakis, Georgios N. Dimitrakopoulos, Themis P. Exarchos, Panagiotis Vlamos, Aristidis G. Vrahatis

Proceedings of the Artificial Intelligence Applications and Innovations. AIAI 2024 IFIP WG 12.5 International Workshops, 2024

Optimization of Healthcare Process Management Using Machine Learning.

Andreas Avgoustis, Themis P. Exarchos, Aristidis G. Vrahatis, Panagiotis Vlamos

Proceedings of the Artificial Intelligence Applications and Innovations, 2024

2023

Methods for cell-type annotation on scRNA-seq data: A recent overview.

Konstantinos Lazaros, Panagiotis Vlamos, Aristidis G. Vrahatis

J. Bioinform. Comput. Biol., October, 2023

Design, Implementation, and Evaluation of Online Bioinformatics and Neuroinformatics Labs.

Spyridon Doukakis, Aristidis G. Vrahatis, Themis P. Exarchos, Maria Hadjinicolaou, Panagiotis Vlamos, Chrystalla Mouza

Int. J. Online Biomed. Eng., January, 2023

Revolutionizing the Early Detection of Alzheimer's Disease through Non-Invasive Biomarkers: The Role of Artificial Intelligence and Deep Learning.

Aristidis G. Vrahatis, Konstantina Skolariki, Marios G. Krokidis, Konstantinos Lazaros, Themis P. Exarchos, Panagiotis Vlamos

Sensors, 2023

Challenges and limitations in computational prediction of protein misfolding in neurodegenerative diseases.

Marios G. Krokidis, Georgios N. Dimitrakopoulos, Aristidis G. Vrahatis, Themis P. Exarchos, Panagiotis Vlamos

Frontiers Comput. Neurosci., 2023

Applying SCALEX scRNA-Seq Data Integration for Precise Alzheimer's Disease Biomarker Discovery.

Aristidis G. Vrahatis, Konstantinos Lazaros, Petros Paplomatas, Marios G. Krokidis, Themis P. Exarchos, Panagiotis Vlamos

Proceedings of the Artificial Intelligence Applications and Innovations. AIAI 2023 IFIP WG 12.5 International Workshops, 2023

Advanced Big Data Analysis for Deciphering the Role of Protein Misfolding and Interactions in the Pathogenesis of Alzheimer's Disease.

Marios G. Krokidis, Georgios N. Dimitrakopoulos, Themis P. Exarchos, Aristidis G. Vrahatis, Panagiotis Vlamos

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.

Georgios N. Dimitrakopoulos, Konstantinos Lazaros, Marios G. Krokidis, Themis P. Exarchos, Aristidis G. Vrahatis, Panagiotis Vlamos

Proceedings of the IEEE International Conference on Big Data, 2023

pCCI: A machine learning patient-centric cell-cell interactions framework for cancer subtype classification.

Pantelis Papageorgiou, Aigli Korfiati, Aristotelis Misios, Aristidis G. Vrahatis, Alexandros A. Pittis, Bogdan Tanasa, Konstantinos Mavrommatis, Yilin Zhao, Tao Yang, Vassilis Pitsikalis

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

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

Marios G. Krokidis, Georgios N. Dimitrakopoulos, Aristidis G. Vrahatis, Christos Tzouvelekis, Dimitrios Drakoulis, Foteini Papavassileiou, Themis P. Exarchos, Panayiotis M. Vlamos

Sensors, 2022

A divisive hierarchical clustering methodology for enhancing the ensemble prediction power in large scale population studies: the ATHLOS project.

Petros Barmpas, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Spiros V. Georgakopoulos, Panagiotis Anagnostou, Matthew Prina, José Luis Ayuso-Mateos, Jerome Bickenbach, Ivet Bayes, Martin Bobak, Francisco Félix Caballero, Somnath Chatterji, Laia Egea-Cortés, Esther García-Esquinas, Matilde Leonardi, Seppo Koskinen, Ilona Koupil, Andrzej Pajak, Martin Prince, Warren Sanderson, Sergei Scherbov, Abdonas Tamosiunas, Aleksander Galas, Josep Maria Haro, Albert Sanchez-Niubo, Vassilis P. Plagianakos, Demosthenes Panagiotakos

Health Inf. Sci. Syst., 2022

A Hybrid Deep Learning model for predicting the early Alzheimer's Disease stages using MRI.

Eugenia Papadaki, Themis P. Exarchos, Panagiotis Vlamos, Aristidis G. Vrahatis

Proceedings of the SETN 2022: 12th Hellenic Conference on Artificial Intelligence, Corfu, Greece, September 7, 2022

Deep Hybrid Learning for Anomaly Detection in Behavioral Monitoring.

Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Serafeim P. Moustakidis, Dimitrios Tsaopoulos, Vassilis P. Plagianakos

Proceedings of the International Joint Conference on Neural Networks, 2022

Feature Selection For High Dimensional Data Using Supervised Machine Learning Techniques.

Konstantinos Lazaros, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Vassilis P. Plagianakos

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Enhancing the Human Health Status Prediction: The ATHLOS Project.

Panagiotis Anagnostou, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Spiros V. Georgakopoulos, Matthew Prina, José Luis Ayuso-Mateos, Joachim Bickenbach, I. Bayes-Marin, Francisco Félix Caballero, Laia Egea-Cortés, Esther García-Esquinas, Matilde Leonardi, Sergei Scherbov, Abdonas Tamosiunas, Aleksander Galas, Josep Maria Haro, A. Sánchez-Martínez, Vassilis P. Plagianakos, Demosthenes Panagiotakos

Appl. Artif. Intell., 2021

Feature Selection in Single-Cell RNA-seq Data via a Genetic Algorithm.

Konstantinos I. Chatzilygeroudis, Aristidis G. Vrahatis, Sotiris K. Tasoulis, Michael N. Vrahatis

Proceedings of the Learning and Intelligent Optimization - 15th International Conference, 2021

Recent Dimensionality Reduction Techniques for High-Dimensional COVID-19 Data.

Ioannis L. Dallas, Aristidis G. Vrahatis, Sotiris K. Tasoulis, Vassilis P. Plagianakos

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2021

Recent Dimensionality Reduction Techniques for Visualizing High-Dimensional Parkinson's Disease Omics Data.

Marios G. Krokidis, Georgios N. Dimitrakopoulos, Aristidis G. Vrahatis, Themis P. Exarchos, Panagiotis Vlamos

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

RLAC: Random Line Approximation Clustering.

Petros T. Barbas, Aristidis G. Vrahatis, Sotiris K. Tasoulis

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Recent Machine Learning Approaches for Single-Cell RNA-seq Data Analysis.

Aristidis G. Vrahatis, Sotiris K. Tasoulis, Ilias Maglogiannis, Vassilis P. Plagianakos

Proceedings of the Advanced Computational Intelligence in Healthcare - 7, 2020

Change detection and convolution neural networks for fall recognition.

Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Georgios I. Mallis, Aristidis G. Vrahatis, Vassilis P. Plagianakos, Ilias G. Maglogiannis

Neural Comput. Appl., 2020

Ensemble Classification through Random Projections for Single-Cell RNA-Seq Data.

Aristidis G. Vrahatis, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos

Inf., 2020

Network Biomarkers for Alzheimer's Disease via a Graph-based Approach.

Aristidis G. Vrahatis, Panagiotis Vlamos, Maria Gonidi, Maria Sagiadinou, Antigoni Avramouli

Proceedings of the 5th South-East Europe Design Automation, 2020

Pathway Analysis for unraveling Complex Diseases: Current State and Future Perpectives.

Aristidis G. Vrahatis, Panagiotis Vlamos, Antigoni Avramouli, Themis P. Exarchos, Maria Gonidi

Proceedings of the 5th South-East Europe Design Automation, 2020

Approximate kNN Classification for Biomedical Data.

Panagiotis Anagnostou, Petros T. Barbas, Aristidis G. Vrahatis, Sotiris K. Tasoulis

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

A Network-Based Perspective in Alzheimer's Disease: Current State and an Integrative Framework.

Andrei Dragomir, Aristidis G. Vrahatis, Anastasios Bezerianos

IEEE J. Biomed. Health Informatics, 2019

Convolutional Neural Networks for Twitter Text Toxicity Analysis.

Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Vassilis P. Plagianakos

Proceedings of the Recent Advances in Big Data and Deep Learning, 2019

Deep Learning and Change Detection for Fall Recognition.

Sotiris K. Tasoulis, Georgios I. Mallis, Spiros V. Georgakopoulos, Aristidis G. Vrahatis, Vassilis P. Plagianakos, Ilias G. Maglogiannis

Proceedings of the Engineering Applications of Neural Networks, 2019

Visualizing High-Dimensional Single-Cell RNA-seq Data via Random Projections and Geodesic Distances.

Aristidis G. Vrahatis, Sotiris K. Tasoulis, Georgios N. Dimitrakopoulos, Vassilis P. Plagianakos

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.

Aristidis G. Vrahatis, Georgios N. Dimitrakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos

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.

Aristidis G. Vrahatis, Georgios N. Dimitrakopoulos, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos

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.

Aristidis G. Vrahatis, Georgios N. Dimitrakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos

Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019

2018

Convolutional Neural Networks for Toxic Comment Classification.

Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Vassilis P. Plagianakos

Proceedings of the 10th Hellenic Conference on Artificial Intelligence, 2018

Pathway analysis using XGBoost classification in Biomedical Data.

Georgios N. Dimitrakopoulos, Aristidis G. Vrahatis, Vassilis P. Plagianakos, Kyriakos N. Sgarbas

Proceedings of the 10th Hellenic Conference on Artificial Intelligence, 2018

Real Time Sentiment Change Detection of Twitter Data Streams.

Sotiris K. Tasoulis, Aristidis G. Vrahatis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos

Proceedings of the 2018 Innovations in Intelligent Systems and Applications, 2018

Visualizing High-dimensional single-cell RNA-sequencing data through multiple Random Projections.

Sotiris K. Tasoulis, Aristidis G. Vrahatis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Biomedical Data Ensemble Classification using Random Projections.

Sotiris K. Tasoulis, Aristidis G. Vrahatis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Detecting Perturbed Subpathways towards Mouse Lung Regeneration Following H1N1 Influenza Infection.

Aristidis G. Vrahatis, Konstantina Dimitrakopoulou, Andreas Kanavos, Spyros Sioutas, Athanasios K. Tsakalidis

Comput., 2017

Tensor-Based Semantically-Aware Topic Clustering of Biomedical Documents.

Georgios Drakopoulos, Andreas Kanavos, Ioannis Karydis, Spyros Sioutas, Aristidis G. Vrahatis

Comput., 2017

Driving Mental Fatigue Classification Based on Brain Functional Connectivity.

Georgios N. Dimitrakopoulos, Ioannis Kakkos, Aristidis G. Vrahatis, Kyriakos N. Sgarbas, Junhua Li, Yu Sun, Anastasios Bezerianos

Proceedings of the Engineering Applications of Neural Networks, 2017

2016

<i>CHRONOS</i>: a time-varying method for microRNA-mediated subpathway enrichment analysis.

Aristidis G. Vrahatis, Konstantina Dimitrakopoulou, Panos Balomenos, Athanasios K. Tsakalidis, Anastasios Bezerianos

Bioinform., 2016

DEsubs: an R package for flexible identification of differentially expressed subpathways using RNA-seq experiments.

Aristidis G. Vrahatis, Panos Balomenos, Athanasios K. Tsakalidis, Anastasios Bezerianos

Bioinform., 2016

Identifying disease network perturbations through regression on gene expression and pathway topology analysis.

Georgios N. Dimitrakopoulos, Panos Balomenos, Aristidis G. Vrahatis, Kyriakos N. Sgarbas, Anastasios Bezerianos

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.

Georgios N. Dimitrakopoulos, Aristidis G. Vrahatis, Panos Balomenos, Kyriakos N. Sgarbas, Anastasios Bezerianos

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.

Aristidis G. Vrahatis, Georgios N. Dimitrakopoulos, Athanasios K. Tsakalidis, Anastasios Bezerianos

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2013

OLYMPUS: An automated hybrid clustering method in time series gene expression. Case study: Host response after Influenza A (H1N1) infection.

Konstantina Dimitrakopoulou, Aristidis G. Vrahatis, Esther Wilk, Athanasios K. Tsakalidis, Anastasios Bezerianos

Comput. Methods Programs Biomed., 2013