Aristidis G. Vrahatis
Zitiert von
Zitiert von
Convolutional neural networks for toxic comment classification
SV Georgakopoulos, SK Tasoulis, AG Vrahatis, VP Plagianakos
Proceedings of the 10th hellenic conference on artificial intelligence, 1-6, 2018
Pathway analysis using XGBoost classification in Biomedical Data
GN Dimitrakopoulos, AG Vrahatis, V Plagianakos, K Sgarbas
Proceedings of the 10th Hellenic conference on artificial intelligence, 1-6, 2018
CHRONOS: a time-varying method for microRNA-mediated subpathway enrichment analysis
AG Vrahatis, K Dimitrakopoulou, P Balomenos, AK Tsakalidis, ...
Bioinformatics 32 (6), 884-892, 2016
COVID-19 classification on chest X-ray images using deep learning methods
M Constantinou, T Exarchos, AG Vrahatis, P Vlamos
International Journal of Environmental Research and Public Health 20 (3), 2035, 2023
Revolutionizing the early detection of Alzheimer’s disease through non-invasive biomarkers: the role of artificial intelligence and deep learning
AG Vrahatis, K Skolariki, MG Krokidis, K Lazaros, TP Exarchos, P Vlamos
Sensors 23 (9), 4184, 2023
DEsubs: an R package for flexible identification of differentially expressed subpathways using RNA-seq experiments
AG Vrahatis, P Balomenos, AK Tsakalidis, A Bezerianos
Bioinformatics 32 (24), 3844-3846, 2016
A network-based perspective in Alzheimer's disease: current state and an integrative framework
A Dragomir, AG Vrahatis, A Bezerianos
IEEE journal of biomedical and health informatics 23 (1), 14-25, 2018
Integromics network meta-analysis on cardiac aging offers robust multi-layer modular signatures and reveals micronome synergism
K Dimitrakopoulou, AG Vrahatis, A Bezerianos
BMC genomics 16, 1-22, 2015
Real time sentiment change detection of twitter data streams
SK Tasoulis, AG Vrahatis, SV Georgakopoulos, VP Plagianakos
arXiv preprint arXiv:1804.00482, 2018
Tensor-Based Semantically-Aware Topic Clustering of Biomedical Documents
AG Drakopoulos, G., Kanavos, A., Karydis, I., Sioutas, S., & Vrahatis
Computation 5 (3), 34, 2017
A sensor-based perspective in early-stage parkinson’s disease: Current state and the need for machine learning processes
MG Krokidis, GN Dimitrakopoulos, AG Vrahatis, C Tzouvelekis, ...
Sensors 22 (2), 409, 2022
An ensemble feature selection approach for analysis and modeling of transcriptome data in alzheimer’s disease
P Paplomatas, MG Krokidis, P Vlamos, AG Vrahatis
Applied Sciences 13 (4), 2353, 2023
Driving mental fatigue classification based on brain functional connectivity
GN Dimitrakopoulos, I Kakkos, AG Vrahatis, K Sgarbas, J Li, Y Sun, ...
Engineering Applications of Neural Networks: 18th International Conference …, 2017
Approximate kNN Classification for Biomedical Data
SKT Panagiotis Anagnostou, Petros Barbas, Aristidis G. Vrahatis
2020 IEEE International Conference on Big Data (Big Data) 1, 3602-3607, 2020
Biomedical data ensemble classification using random projections
SK Tasoulis, AG Vrahatis, SV Georgakopoulos, VP Plagianakos
2018 IEEE International Conference on Big Data (Big Data), 166-172, 2018
Identifying miRNA-mediated signaling subpathways by integrating paired miRNA/mRNA expression data with pathway topology
AG Vrahatis, GN Dimitrakopoulos, AK Tsakalidis, A Bezerianos
2015 37th Annual International Conference of the IEEE Engineering in …, 2015
Convolutional neural networks for twitter text toxicity analysis
SV Georgakopoulos, SK Tasoulis, AG Vrahatis, VP Plagianakos
Recent Advances in Big Data and Deep Learning: Proceedings of the INNS Big …, 2020
Identifying disease network perturbations through regression on gene expression and pathway topology analysis
GN Dimitrakopoulos, P Balomenos, AG Vrahatis, K Sgarbas, ...
2016 38th Annual International Conference of the IEEE Engineering in …, 2016
Change detection and convolution neural networks for fall recognition
SV Georgakopoulos, SK Tasoulis, GI Mallis, AG Vrahatis, VP Plagianakos, ...
Neural Computing and Applications 32, 17245-17258, 2020
Investigating the aetiology of adverse events following HPV vaccination with systems vaccinology
J Campbell-Tofte, A Vrahatis, K Josefsen, J Mehlsen, K Winther
Cellular and molecular life sciences 76, 67-87, 2019
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