Konstantinos Lazaros

According to our database, Konstantinos Lazaros authored at least 9 papers between 2022 and 2024.

Collaborative distances:

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

2024

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

Aristidis G. Vrahatis, Konstantinos Lazaros, Sotiris Kotsiantis

Future Internet, September, 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

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

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

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

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

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