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)

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)

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)

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)

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

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)

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