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)

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 (EMBC, 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 (DSP, 2015)

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 (EMBC, 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)

CHRONOS: a time-varying method for microRNA-mediated subpathway enrichment analysis. - Aristidis G. Vrahatis; Konstantina Dimitrakopoulou; Panos Balomenos; Athanasios K. Tsakalidis; Anastasios Bezerianos (Bioinform., 2016)

Driving Mental Fatigue Classification Based on Brain Functional Connectivity. - Georgios N. Dimitrakopoulos; Ioannis Kakkos; Aristidis G. Vrahatis; Kyriakos N. Sgarbas; Junhua Li; Yu Sun 014; Anastasios Bezerianos (EANN, 2017)

Tensor-Based Semantically-Aware Topic Clustering of Biomedical Documents. - Georgios Drakopoulos; Andreas Kanavos; Ioannis Karydis; Spyros Sioutas; Aristidis G. Vrahatis (Comput., 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)

Biomedical Data Ensemble Classification using Random Projections. - Sotiris K. Tasoulis; Aristidis G. Vrahatis; Spiros V. Georgakopoulos; Vassilis P. Plagianakos (IEEE BigData, 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 (IEEE BigData, 2018)

Real Time Sentiment Change Detection of Twitter Data Streams. - Sotiris K. Tasoulis; Aristidis G. Vrahatis; Spiros V. Georgakopoulos; Vassilis P. Plagianakos (INISTA, 2018)

Pathway analysis using XGBoost classification in Biomedical Data. - Georgios N. Dimitrakopoulos; Aristidis G. Vrahatis; Vassilis P. Plagianakos; Kyriakos N. Sgarbas (SETN, 2018)

Convolutional Neural Networks for Toxic Comment Classification. - Spiros V. Georgakopoulos; Sotiris K. Tasoulis; Aristidis G. Vrahatis; Vassilis P. Plagianakos (SETN, 2018)

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 (BIBE, 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 (IEEE BigData, 2019)

A single-cell Systems Biology approach for disease-specific subpathway extraction. - Aristidis G. Vrahatis; Georgios N. Dimitrakopoulos; Sotiris K. Tasoulis; Vassilis P. Plagianakos (CIBCB, 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 (CIBCB, 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 (EANN, 2019)

Convolutional Neural Networks for Twitter Text Toxicity Analysis. - Spiros V. Georgakopoulos; Sotiris K. Tasoulis; Aristidis G. Vrahatis; Vassilis P. Plagianakos (INNSBDDL, 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)

Approximate kNN Classification for Biomedical Data. - Panagiotis Anagnostou; Petros T. Barbas; Aristidis G. Vrahatis; Sotiris K. Tasoulis (IEEE BigData, 2020)

Pathway Analysis for unraveling Complex Diseases: Current State and Future Perpectives. - Aristidis G. Vrahatis; Panagiotis Vlamos; Antigoni Avramouli; Themis P. Exarchos; Maria Gonidi (SEEDA-CECNSM, 2020)

Network Biomarkers for Alzheimer's Disease via a Graph-based Approach. - Aristidis G. Vrahatis; Panagiotis Vlamos; Maria Gonidi; Maria Sagiadinou; Antigoni Avramouli (SEEDA-CECNSM, 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)

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)

Recent Machine Learning Approaches for Single-Cell RNA-seq Data Analysis. - Aristidis G. Vrahatis; Sotiris K. Tasoulis; Ilias Maglogiannis; Vassilis P. Plagianakos (Advanced Computational Intelligence in Healthcare (7), 2020)

RLAC: Random Line Approximation Clustering. - Petros T. Barbas; Aristidis G. Vrahatis; Sotiris K. Tasoulis (IEEE BigData, 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 (IEEE BigData, 2021)

Recent Dimensionality Reduction Techniques for High-Dimensional COVID-19 Data. - Ioannis L. Dallas; Aristidis G. Vrahatis; Sotiris K. Tasoulis; Vassilis P. Plagianakos (CIBB, 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 (LION, 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; et al. (Appl. Artif. Intell., 2021)

Feature Selection For High Dimensional Data Using Supervised Machine Learning Techniques. - Konstantinos Lazaros; Sotiris K. Tasoulis; Aristidis G. Vrahatis; Vassilis P. Plagianakos (IEEE Big Data, 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 (IJCNN, 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 (SETN, 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; et al. (Health Inf. Sci. Syst., 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)

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 (BIBM, 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 (IEEE Big Data, 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 (IEEE Big Data, 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 (AIAI (Workshops), 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)

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)

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., 2023)

Methods for cell-type annotation on scRNA-seq data: A recent overview. - Konstantinos Lazaros; Panagiotis Vlamos; Aristidis G. Vrahatis (J. Bioinform. Comput. Biol., 2023)

Optimization of Healthcare Process Management Using Machine Learning. - Andreas Avgoustis; Themis P. Exarchos; Aristidis G. Vrahatis; Panagiotis Vlamos (AIAI (1), 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 (AIAI (Workshops), 2024)

Advancing ScRNA-Seq Data Integration via a Novel Gene Selection Method. - Konstantinos Lazaros; Themis P. Exarchos; Ilias Maglogiannis; Panagiotis Vlamos; Aristidis G. Vrahatis (AIAI (1), 2024)

A comprehensive review on zero-shot-learning techniques. - Konstantinos Lazaros; Dimitris E. Koumadorakis; Aristidis G. Vrahatis; Sotiris Kotsiantis (Intell. Decis. Technol., 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)

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., 2024)

Graph Attention Networks: A Comprehensive Review of Methods and Applications. - Aristidis G. Vrahatis; Konstantinos Lazaros; Sotiris Kotsiantis (Future Internet, 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., 2024)