Aristidis G. Vrahatis

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 52

Top Topics

Ensemble Classification

Top Venues

Publications

Konstantinos Lazaros, Dimitris E. Koumadorakis, Panagiotis Vlamos, Aristidis G. Vrahatis
Graph neural network approaches for single-cell data: a recent overview. Neural Comput. Appl. 36 (17) (2024)
Konstantinos Lazaros, Themis P. Exarchos, Ilias Maglogiannis, Panagiotis Vlamos, Aristidis G. Vrahatis
Advancing ScRNA-Seq Data Integration via a Novel Gene Selection Method. AIAI (1) (2024)
Gerasimos Grammenos, Aristidis G. Vrahatis, Panagiotis Vlamos, Dean Palejev, Themis P. Exarchos, Alzheimer's Disease Neuroimaging Initiative
Predicting the Conversion from Mild Cognitive Impairment to Alzheimer's Disease Using an Explainable AI Approach. Inf. 15 (5) (2024)
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)
Konstantinos Lazaros, Dimitris E. Koumadorakis, Aristidis G. Vrahatis, Sotiris Kotsiantis
A comprehensive review on zero-shot-learning techniques. Intell. Decis. Technol. 18 (2) (2024)
Andreas Avgoustis, Themis P. Exarchos, Aristidis G. Vrahatis, Panagiotis Vlamos
Optimization of Healthcare Process Management Using Machine Learning. AIAI (1) (2024)
Pantelis Papageorgiou, Aigli Korfiati, Aristotelis Misios, Aristidis G. Vrahatis, Alexandros A. Pittis, Bogdan Tanasa, Konstantinos Mavrommatis, Yilin Zhao, Tao Yang, Vassilis Pitsikalis
pCCI: A machine learning patient-centric cell-cell interactions framework for cancer subtype classification. BIBM (2023)
Konstantinos Lazaros, Dimitris E. Koumadorakis, Panagiotis Vlamos, Aristidis G. Vrahatis
Graph Neural Network approaches for single-cell data: A recent overview. CoRR (2023)
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)
Spyridon Doukakis, Aristidis G. Vrahatis, Themis P. Exarchos, Maria Hadjinicolaou, Panagiotis Vlamos, Chrystalla Mouza
Design, Implementation, and Evaluation of Online Bioinformatics and Neuroinformatics Labs. Int. J. Online Biomed. Eng. 19 (1) (2023)
Konstantinos Lazaros, Panagiotis Vlamos, Aristidis G. Vrahatis
Methods for cell-type annotation on scRNA-seq data: A recent overview. J. Bioinform. Comput. Biol. 21 (5) (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)
Eugenia Papadaki, Themis P. Exarchos, Panagiotis Vlamos, Aristidis G. Vrahatis
A Hybrid Deep Learning model for predicting the early Alzheimer's Disease stages using MRI. SETN (2022)
Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Serafeim P. Moustakidis, Dimitrios Tsaopoulos, Vassilis P. Plagianakos
Deep Hybrid Learning for Anomaly Detection in Behavioral Monitoring. IJCNN (2022)
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
A divisive hierarchical clustering methodology for enhancing the ensemble prediction power in large scale population studies: the ATHLOS project. Health Inf. Sci. Syst. 10 (1) (2022)
Lazaros K, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Vassilis P. Plagianakos
Feature Selection For High Dimensional Data Using Supervised Machine Learning Techniques. Big Data (2022)
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)
Ioannis L. Dallas, Aristidis G. Vrahatis, Sotiris K. Tasoulis, Vassilis P. Plagianakos
Recent Dimensionality Reduction Techniques for High-Dimensional COVID-19 Data. CIBB (2021)
Panagiotis Anagnostou, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Spiros V. Georgakopoulos, M. Prina, Jose L. Ayuso-Mateos, Joachim Bickenbach, I. Bayes-Marin, F. F. Caballero, L. Egea-Cortés, E. García-Esquinas, M. Leonardi, S. Scherbov, A. Tamosiunas, A. Galas, Josep Maria Haro, A. Sánchez-Martínez, Vassilis P. Plagianakos, D. Panagiotakos
Enhancing the Human Health Status Prediction: The ATHLOS Project. Appl. Artif. Intell. 35 (11) (2021)
Petros T. Barbas, Aristidis G. Vrahatis, Sotiris K. Tasoulis
RLAC: Random Line Approximation Clustering. IEEE BigData (2021)
Konstantinos I. Chatzilygeroudis, Aristidis G. Vrahatis, Sotiris K. Tasoulis, Michael N. Vrahatis
Feature Selection in Single-Cell RNA-seq Data via a Genetic Algorithm. LION (2021)
Panagiotis Anagnostou, Petros T. Barbas, Aristidis G. Vrahatis, Sotiris K. Tasoulis
Approximate kNN Classification for Biomedical Data. CoRR (2020)
Aristidis G. Vrahatis, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos
Ensemble Classification through Random Projections for Single-Cell RNA-Seq Data. Inf. 11 (11) (2020)
Aristidis G. Vrahatis, Panagiotis Vlamos, Antigoni Avramouli, Themis P. Exarchos, Maria Gonidi
Pathway Analysis for unraveling Complex Diseases: Current State and Future Perpectives. SEEDA-CECNSM (2020)
Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Georgios I. Mallis, Aristidis G. Vrahatis, Vassilis P. Plagianakos, Ilias G. Maglogiannis
Change detection and convolution neural networks for fall recognition. Neural Comput. Appl. 32 (23) (2020)
Panagiotis Anagnostou, Petros T. Barbas, Aristidis G. Vrahatis, Sotiris K. Tasoulis
Approximate kNN Classification for Biomedical Data. IEEE BigData (2020)
Aristidis G. Vrahatis, Panagiotis Vlamos, Maria Gonidi, Maria Sagiadinou, Antigoni Avramouli
Network Biomarkers for Alzheimer's Disease via a Graph-based Approach. SEEDA-CECNSM (2020)
Andrei Dragomir, Aristidis G. Vrahatis, Anastasios Bezerianos
A Network-Based Perspective in Alzheimer's Disease: Current State and an Integrative Framework. IEEE J. Biomed. Health Informatics 23 (1) (2019)
Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Vassilis P. Plagianakos
Convolutional Neural Networks for Twitter Text Toxicity Analysis. INNSBDDL (2019)
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)
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)
Sotiris K. Tasoulis, Georgios I. Mallis, Spiros V. Georgakopoulos, Aristidis G. Vrahatis, Vassilis P. Plagianakos, Ilias G. Maglogiannis
Deep Learning and Change Detection for Fall Recognition. EANN (2019)
Sotiris K. Tasoulis, Aristidis G. Vrahatis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos
Biomedical Data Ensemble Classification using Random Projections. IEEE BigData (2018)
Sotiris K. Tasoulis, Aristidis G. Vrahatis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos
Real Time Sentiment Change Detection of Twitter Data Streams. CoRR (2018)
Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Vassilis P. Plagianakos
Convolutional Neural Networks for Toxic Comment Classification. SETN (2018)
Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Vassilis P. Plagianakos
Convolutional Neural Networks for Toxic Comment Classification. CoRR (2018)
Sotiris K. Tasoulis, Aristidis G. Vrahatis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos
Real Time Sentiment Change Detection of Twitter Data Streams. INISTA (2018)
Georgios N. Dimitrakopoulos, Aristidis G. Vrahatis, Vassilis P. Plagianakos, Kyriakos N. Sgarbas
Pathway analysis using XGBoost classification in Biomedical Data. SETN (2018)
Sotiris K. Tasoulis, Aristidis G. Vrahatis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos
Visualizing High-dimensional single-cell RNA-sequencing data through multiple Random Projections. IEEE BigData (2018)
Aristidis G. Vrahatis, Konstantina Dimitrakopoulou, Andreas Kanavos, Spyros Sioutas, Athanasios K. Tsakalidis
Detecting Perturbed Subpathways towards Mouse Lung Regeneration Following H1N1 Influenza Infection. Comput. 5 (2) (2017)
Georgios Drakopoulos, Andreas Kanavos, Ioannis Karydis, Spyros Sioutas, Aristidis G. Vrahatis
Tensor-Based Semantically-Aware Topic Clustering of Biomedical Documents. Comput. 5 (3) (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, 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, Konstantina Dimitrakopoulou, Panos Balomenos, Athanasios K. Tsakalidis, Anastasios Bezerianos
: a time-varying method for microRNA-mediated subpathway enrichment analysis. Bioinform. 32 (6) (2016)
Aristidis G. Vrahatis, Panos Balomenos, Athanasios K. Tsakalidis, Anastasios Bezerianos
DEsubs: an R package for flexible identification of differentially expressed subpathways using RNA-seq experiments. Bioinform. 32 (24) (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)
George Dimitrakopoulos, Aristidis G. Vrahatis, Panos Balomenos, Kyriakos N. Sgarbas, Anastasios Bezerianos
Age-related subpathway detection through meta-analysis of multiple gene expression datasets. DSP (2015)
Konstantina Dimitrakopoulou, Aristidis G. Vrahatis, Esther Wilk, Athanasios K. Tsakalidis, Anastasios Bezerianos
OLYMPUS: An automated hybrid clustering method in time series gene expression. Case study: Host response after Influenza A (H1N1) infection. Comput. Methods Programs Biomed. 111 (3) (2013)