Aristidis G. Vrahatis

发表

Real Time Sentiment Change Detection of Twitter Data Streams

Vassilis P. Plagianakos, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, 2018, 2018 Innovations in Intelligent Systems and Applications (INISTA).

Identifying miRNA-mediated signaling subpathways by integrating paired miRNA/mRNA expression data with pathway topology

Athanasios K. Tsakalidis, Anastasios Bezerianos, Aristidis G. Vrahatis, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

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

Aristidis G. Vrahatis, Panagiotis Vlamos, Maria Gonidi, 2020, 2020 5th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM).

A single-cell Systems Biology approach for disease-specific subpathway extraction

Vassilis P. Plagianakos, Sotiris K. Tasoulis, Aristidis G. Vrahatis, 2019, 2019 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB).

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

Aristidis G. Vrahatis, Panagiotis Vlamos, Maria Gonidi, 2020, 2020 5th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM).

Pathway analysis using XGBoost classification in Biomedical Data

Vassilis P. Plagianakos, Aristidis G. Vrahatis, Kyriakos N. Sgarbas, 2018, SETN.

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

Vassilis P. Plagianakos, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, 2018, 2018 IEEE International Conference on Big Data (Big Data).

Driving Mental Fatigue Classification Based on Brain Functional Connectivity

Yu Sun, Anastasios Bezerianos, Junhua Li, 2017, EANN.

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

Vassilis P. Plagianakos, Sotiris K. Tasoulis, Aristidis G. Vrahatis, 2020, Advanced Computational Intelligence in Healthcare.

Biomedical Data Ensemble Classification using Random Projections

Vassilis P. Plagianakos, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, 2018, 2018 IEEE International Conference on Big Data (Big Data).

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

Anastasios Bezerianos, Aristidis G. Vrahatis, Andrei Dragomir, 2019, IEEE Journal of Biomedical and Health Informatics.

Ensemble Classification through Random Projections for single-cell RNA-seq data

Aristidis G. Vrahatis, Vassilis Plagianakos, Sotiris Tasoulis, 2020, bioRxiv.

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

Vassilis P. Plagianakos, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, 2020, Inf..

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

Athanasios K. Tsakalidis, Anastasios Bezerianos, Aristidis G. Vrahatis, 2016, Bioinform..

Deep Learning and Change Detection for Fall Recognition

Vassilis P. Plagianakos, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, 2019, EANN.

Detecting Perturbed Subpathways towards Mouse Lung Regeneration Following H1N1 Influenza Infection

Athanasios K. Tsakalidis, Spyros Sioutas, Aristidis G. Vrahatis, 2017, Comput..

Convolutional Neural Networks for Toxic Comment Classification

Vassilis P. Plagianakos, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, 2018, SETN.

George Dimitrakopoulos, Anastasios Bezerianos, Aristidis G. Vrahatis, 2015, 2015 IEEE International Conference on Digital Signal Processing (DSP).

Approximate kNN Classification for Biomedical Data pdf

Sotiris K. Tasoulis, Aristidis G. Vrahatis, Panagiotis Anagnostou, 2020, 2020 IEEE International Conference on Big Data (Big Data).

Single-cell regulatory network inference and clustering from high-dimensional sequencing data

Vassilis P. Plagianakos, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, 2019, 2019 IEEE International Conference on Big Data (Big Data).

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

Athanasios K. Tsakalidis, Anastasios Bezerianos, Aristidis G. Vrahatis, 2013, Comput. Methods Programs Biomed..

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

Vassilis P. Plagianakos, Sotiris K. Tasoulis, Aristidis G. Vrahatis, 2019, 2019 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB).

Change detection and convolution neural networks for fall recognition

Vassilis P. Plagianakos, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, 2020, Neural Computing and Applications.

Convolutional Neural Networks for Twitter Text Toxicity Analysis

Vassilis P. Plagianakos, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, 2019, INNSBDDL.

Tensor-Based Semantically-Aware Topic Clustering of Biomedical Documents

Spyros Sioutas, Aristidis G. Vrahatis, Ioannis Karydis, 2017, Comput..

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

Anastasios Bezerianos, Aristidis G. Vrahatis, Kyriakos N. Sgarbas, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

CHRONOS: a time-varying method for microRNA-mediated subpathway enrichment analysis

Athanasios K. Tsakalidis, Anastasios Bezerianos, Aristidis G. Vrahatis, 2016, Bioinform..

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

Michael N. Vrahatis, Sotiris K. Tasoulis, Aristidis G. Vrahatis, 2021, LION.

Enhancing the Human Health Status Prediction: The ATHLOS Project

Vassilis P. Plagianakos, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, 2021, Appl. Artif. Intell..

Network-Based Modular Markers of Aging across Different Tissues

Athanasios K. Tsakalidis, Anastasios Bezerianos, Aristidis G. Vrahatis, 2014 .

Graph Neural Network approaches for single-cell data: A recent overview

Aristidis G. Vrahatis, Vlamos, Konstantinos Lazaros, 2023, Neural Comput. Appl..

COVID-19 Classification on Chest X-ray Images Using Deep Learning Methods

Aristidis G. Vrahatis, Vlamos, T. Exarchos, 2023, International journal of environmental research and public health.

An Ensemble Feature Selection Approach for Analysis and Modeling of Transcriptome Data in Alzheimer’s Disease

Aristidis G. Vrahatis, Vlamos, A. Vrahatis, 2023, Applied Sciences.

A Systems Biology Approach for the Identification of Active Molecular Pathways During the Progression of Alzheimer's Disease.

Aristidis G. Vrahatis, I. Kotsireas, P. Vlamos, 2020, Advances in experimental medicine and biology.

Lineage Plasticity and Stemness Phenotypes in Prostate Cancer: Harnessing the Power of Integrated “Omics” Approaches to Explore Measurable Metrics

Aristidis G. Vrahatis, V. Tzelepi, V. Zolota, 2023, Cancers.

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

Aristidis G. Vrahatis, Georgios N. Dimitrakopoulos, T. Exarchos, 2022, Sensors.

Drug and Protein Interaction Network Construction for Drug Repurposing in Alzheimer’s Disease

Aristidis G. Vrahatis, Georgios N. Dimitrakopoulos, T. Exarchos, 2023, Future Pharmacology.

Investigating the aetiology of adverse events following HPV vaccination with systems vaccinology

Aristidis G. Vrahatis, J. Mehlsen, K. Winther, 2018, Cellular and Molecular Life Sciences.

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

Aristidis G. Vrahatis, T. Exarchos, Vlamos, 2023, Sensors.

Enhancing the Human Health Status Prediction: The ATHLOS Project

Aristidis G. Vrahatis, F. F. Caballero, J. Ayuso-Mateos, 2021, medRxiv.

Detecting Common Pathways and Key Molecules of Neurodegenerative Diseases from the Topology of Molecular Networks.

Aristidis G. Vrahatis, I. Kotsireas, P. Vlamos, 2020, Advances in experimental medicine and biology.

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

Aristidis G. Vrahatis, F. F. Caballero, J. Ayuso-Mateos, 2022, Health Information Science and Systems.

Unsupervised Learning for Large Scale Data: The ATHLOS Project

Aristidis G. Vrahatis, J. Ayuso-Mateos, V. Plagianakos, 2021, medRxiv.

A Hybrid Machine Learning Framework for Enhancing the Prediction Power in Large Scale Population Studies: TheATHLOS Project

Aristidis G. Vrahatis, J. Ayuso-Mateos, V. Plagianakos, 2021, medRxiv.

Exploring Promising Biomarkers for Alzheimer’s Disease through the Computational Analysis of Peripheral Blood Single-Cell RNA Sequencing Data

Aristidis G. Vrahatis, Vlamos, A. Vrahatis, 2023, Applied Sciences.

Machine Learning Analysis of Alzheimer’s Disease Single-Cell RNA-Sequencing Data across Cortex and Hippocampus Regions

Aristidis G. Vrahatis, T. Exarchos, Vlamos, 2023, Current issues in molecular biology.

Enhancing Clustering of Single-Cell RNA-Seq Data by Proximity Learning on Random Projected Spaces

Aristidis G. Vrahatis, Georgios N. Dimitrakopoulos, Vassilis Plagianakos, 2019, 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE).