Aristidis G. Vrahatis

62 papers B 4C 8Journal 25Unranked 24

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Boosting neural network performance for high dimensional data through random projections. Pattern Recognit. Lett. Panagiotis Anagnostou, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos
2026	—	`conf`	From Poison to Antidote: Advancing Cybersecurity Education with AI Attack and Defense Training. ICISSP (1) Angelos Spyridon Kourtesis, Christian Leka, Konstantinos Lazaros, Aristidis G. Vrahatis, Christoforos Ntantogian
2025	J	`jnl`	Computational analysis of transcriptome data and mapping of functional networks in Parkinson's disease. Frontiers Bioinform. Konstantinos Perperidis, Themis P. Exarchos, Aristidis G. Vrahatis, Panagiotis Vlamos, Marios G. Krokidis
2025	—	`conf`	Neurocognitive Approaches to Fraction Learning: Integrating EEG, fMRI, and Eye Tracking in Mathematics Education. ICETASI Eleni Lekati, Konstantinos Lazaros, Aristidis G. Vrahatis, Spyridon Doukakis
2025	C	`conf`	SwarmICB: A Multi-Agent AI System for Immune Checkpoint Blockage Literature Mining and Research Synthesis and Analysis. BIBE Chrysoula Bourtzinakou, Marios G. Krokidis, Themis P. Exarchos, Panagiotis Vlamos, Aristidis G. Vrahatis
2025	C	`conf`	Uncovering Molecular Insights into Blood-Brain Barrier Dysfunction in Alzheimer's Disease. BIBE Konstantinos Lazaros, Marios G. Krokidis, Gerasimos Grammenos, Styliani Adam, Themis P. Exarchos, Panagiotis Vlamos, Aristidis G. Vrahatis
2024	J	`jnl`	A comprehensive review on zero-shot-learning techniques. Intell. Decis. Technol. Konstantinos Lazaros, Dimitris E. Koumadorakis, Aristidis G. Vrahatis, Sotiris Kotsiantis
2024	—	`conf`	Advancing ScRNA-Seq Data Integration via a Novel Gene Selection Method. AIAI (1) Konstantinos Lazaros, Themis P. Exarchos, Ilias Maglogiannis, Panagiotis Vlamos, Aristidis G. Vrahatis
2024	J	`jnl`	Graph Attention Networks: A Comprehensive Review of Methods and Applications. Future Internet Aristidis G. Vrahatis, Konstantinos Lazaros, Sotiris Kotsiantis
2024	J	`jnl`	Graph neural network approaches for single-cell data: a recent overview. Neural Comput. Appl. Konstantinos Lazaros, Dimitris E. Koumadorakis, Panagiotis Vlamos, Aristidis G. Vrahatis
2024	J	`jnl`	How natural language processing derived techniques are used on biological data: a systematic review. Netw. Model. Anal. Health Informatics Bioinform. Emmanouil D. Oikonomou, Petros S. Karvelis, Nikolaos Giannakeas, Aristidis G. Vrahatis, Evripidis Glavas, Alexandros T. Tzallas
2024	—	`conf`	Integrating Machine Learning and Biological Context for Single-Cell Gene Regulatory Network Inference. AIAI (Workshops) Dimitris E. Koumadorakis, Georgios N. Dimitrakopoulos, Themis P. Exarchos, Panagiotis Vlamos, Aristidis G. Vrahatis
2024	—	`conf`	Optimization of Healthcare Process Management Using Machine Learning. AIAI (1) Andreas Avgoustis, Themis P. Exarchos, Aristidis G. Vrahatis, Panagiotis Vlamos
2024	J	`jnl`	Predicting the Conversion from Mild Cognitive Impairment to Alzheimer's Disease Using an Explainable AI Approach. Inf. Gerasimos Grammenos, Aristidis G. Vrahatis, Panagiotis Vlamos, Dean Palejev, Themis P. Exarchos, Alzheimer's Disease Neuroimaging Initiative
2023	B	`conf`	A Graph-Based Approach to Integrate Large-Scale Drug and Protein Data for Alzheimer's Disease Drug Repurposing. IEEE Big Data Georgios N. Dimitrakopoulos, Konstantinos Lazaros, Marios G. Krokidis, Themis P. Exarchos, Aristidis G. Vrahatis, Panagiotis Vlamos
2023	B	`conf`	Advanced Big Data Analysis for Deciphering the Role of Protein Misfolding and Interactions in the Pathogenesis of Alzheimer's Disease. IEEE Big Data Marios G. Krokidis, Georgios N. Dimitrakopoulos, Themis P. Exarchos, Aristidis G. Vrahatis, Panagiotis Vlamos
2023	—	`conf`	Applying SCALEX scRNA-Seq Data Integration for Precise Alzheimer's Disease Biomarker Discovery. AIAI (Workshops) Aristidis G. Vrahatis, Konstantinos Lazaros, Petros Paplomatas, Marios G. Krokidis, Themis P. Exarchos, Panagiotis Vlamos
2023	J	`jnl`	Challenges and limitations in computational prediction of protein misfolding in neurodegenerative diseases. Frontiers Comput. Neurosci. Marios G. Krokidis, Georgios N. Dimitrakopoulos, Aristidis G. Vrahatis, Themis P. Exarchos, Panagiotis Vlamos
2023	J	`jnl`	Design, Implementation, and Evaluation of Online Bioinformatics and Neuroinformatics Labs. Int. J. Online Biomed. Eng. Spyridon Doukakis, Aristidis G. Vrahatis, Themis P. Exarchos, Maria Hadjinicolaou, Panagiotis Vlamos, Chrystalla Mouza
2023	J	`jnl`	Graph Neural Network approaches for single-cell data: A recent overview. CoRR Konstantinos Lazaros, Dimitris E. Koumadorakis, Panagiotis Vlamos, Aristidis G. Vrahatis
2023	J	`jnl`	Methods for cell-type annotation on scRNA-seq data: A recent overview. J. Bioinform. Comput. Biol. Konstantinos Lazaros, Panagiotis Vlamos, Aristidis G. Vrahatis
2023	J	`jnl`	Revolutionizing the Early Detection of Alzheimer's Disease through Non-Invasive Biomarkers: The Role of Artificial Intelligence and Deep Learning. Sensors Aristidis G. Vrahatis, Konstantina Skolariki, Marios G. Krokidis, Konstantinos Lazaros, Themis P. Exarchos, Panagiotis Vlamos
2023	—	`conf`	pCCI: A machine learning patient-centric cell-cell interactions framework for cancer subtype classification. BIBM Pantelis Papageorgiou, Aigli Korfiati, Aristotelis Misios, Aristidis G. Vrahatis, Alexandros A. Pittis, Bogdan Tanasa, Konstantinos Mavrommatis, Yilin Zhao, Tao Yang, Vassilis Pitsikalis
2022	—	`conf`	A Hybrid Deep Learning model for predicting the early Alzheimer's Disease stages using MRI. SETN Eugenia Papadaki, Themis P. Exarchos, Panagiotis Vlamos, Aristidis G. Vrahatis
2022	J	`jnl`	A Sensor-Based Perspective in Early-Stage Parkinson's Disease: Current State and the Need for Machine Learning Processes. Sensors Marios G. Krokidis, Georgios N. Dimitrakopoulos, Aristidis G. Vrahatis, Christos Tzouvelekis, Dimitrios Drakoulis, Foteini Papavassileiou, Themis P. Exarchos, Panayiotis M. Vlamos
2022	J	`jnl`	A divisive hierarchical clustering methodology for enhancing the ensemble prediction power in large scale population studies: the ATHLOS project. Health Inf. Sci. Syst. 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, Laia Egea-Cortés, Esther García-Esquinas, Matilde Leonardi, Seppo Koskinen, Ilona Koupil, Andrzej Pajak, Martin Prince, Warren Sanderson, Sergei Scherbov, Abdonas Tamosiunas, Aleksander Galas, Josep Maria Haro, Albert Sanchez-Niubo, Vassilis P. Plagianakos, Demosthenes Panagiotakos
2022	B	`conf`	Deep Hybrid Learning for Anomaly Detection in Behavioral Monitoring. IJCNN Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Serafeim P. Moustakidis, Dimitrios Tsaopoulos, Vassilis P. Plagianakos
2022	B	`conf`	Feature Selection For High Dimensional Data Using Supervised Machine Learning Techniques. IEEE Big Data Konstantinos Lazaros, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Vassilis P. Plagianakos
2021	J	`jnl`	Enhancing the Human Health Status Prediction: The ATHLOS Project. Appl. Artif. Intell. 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, Sergei Scherbov, Abdonas Tamosiunas, Aleksander Galas, Josep Maria Haro, A. Sánchez-Martínez, Vassilis P. Plagianakos, Demosthenes Panagiotakos
2021	—	`conf`	Feature Selection in Single-Cell RNA-seq Data via a Genetic Algorithm. LION Konstantinos I. Chatzilygeroudis, Aristidis G. Vrahatis, Sotiris K. Tasoulis, Michael N. Vrahatis
2021	—	`conf`	RLAC: Random Line Approximation Clustering. IEEE BigData Petros T. Barbas, Aristidis G. Vrahatis, Sotiris K. Tasoulis
2021	—	`conf`	Recent Dimensionality Reduction Techniques for High-Dimensional COVID-19 Data. CIBB Ioannis L. Dallas, Aristidis G. Vrahatis, Sotiris K. Tasoulis, Vassilis P. Plagianakos
2021	—	`conf`	Recent Dimensionality Reduction Techniques for Visualizing High-Dimensional Parkinson's Disease Omics Data. IEEE BigData Marios G. Krokidis, Georgios N. Dimitrakopoulos, Aristidis G. Vrahatis, Themis P. Exarchos, Panagiotis Vlamos
2020	—	`conf`	Approximate kNN Classification for Biomedical Data. IEEE BigData Panagiotis Anagnostou, Petros T. Barbas, Aristidis G. Vrahatis, Sotiris K. Tasoulis
2020	J	`jnl`	Approximate kNN Classification for Biomedical Data. CoRR Panagiotis Anagnostou, Petros T. Barbas, Aristidis G. Vrahatis, Sotiris K. Tasoulis
2020	J	`jnl`	Change detection and convolution neural networks for fall recognition. Neural Comput. Appl. Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Georgios I. Mallis, Aristidis G. Vrahatis, Vassilis P. Plagianakos, Ilias G. Maglogiannis
2020	J	`jnl`	Ensemble Classification through Random Projections for Single-Cell RNA-Seq Data. Inf. Aristidis G. Vrahatis, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos
2020	—	`conf`	Network Biomarkers for Alzheimer's Disease via a Graph-based Approach. SEEDA-CECNSM Aristidis G. Vrahatis, Panagiotis Vlamos, Maria Gonidi, Maria Sagiadinou, Antigoni Avramouli
2020	—	`conf`	Pathway Analysis for unraveling Complex Diseases: Current State and Future Perpectives. SEEDA-CECNSM Aristidis G. Vrahatis, Panagiotis Vlamos, Antigoni Avramouli, Themis P. Exarchos, Maria Gonidi
2020	—	`ch.`	Recent Machine Learning Approaches for Single-Cell RNA-seq Data Analysis. Advanced Computational Intelligence in Healthcare (7) Aristidis G. Vrahatis, Sotiris K. Tasoulis, Ilias Maglogiannis, Vassilis P. Plagianakos
2019	J	`jnl`	A Network-Based Perspective in Alzheimer's Disease: Current State and an Integrative Framework. IEEE J. Biomed. Health Informatics Andrei Dragomir, Aristidis G. Vrahatis, Anastasios Bezerianos
2019	C	`conf`	A single-cell Systems Biology approach for disease-specific subpathway extraction. CIBCB Aristidis G. Vrahatis, Georgios N. Dimitrakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos
2019	—	`conf`	Convolutional Neural Networks for Twitter Text Toxicity Analysis. INNSBDDL Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Vassilis P. Plagianakos
2019	C	`conf`	Deep Learning and Change Detection for Fall Recognition. EANN Sotiris K. Tasoulis, Georgios I. Mallis, Spiros V. Georgakopoulos, Aristidis G. Vrahatis, Vassilis P. Plagianakos, Ilias G. Maglogiannis
2019	C	`conf`	Enhancing Clustering of Single-Cell RNA-Seq Data by Proximity Learning on Random Projected Spaces. BIBE Aristidis G. Vrahatis, Georgios N. Dimitrakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos
2019	—	`conf`	Single-cell regulatory network inference and clustering from high-dimensional sequencing data. IEEE BigData Aristidis G. Vrahatis, Georgios N. Dimitrakopoulos, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos
2019	C	`conf`	Visualizing High-Dimensional Single-Cell RNA-seq Data via Random Projections and Geodesic Distances. CIBCB Aristidis G. Vrahatis, Sotiris K. Tasoulis, Georgios N. Dimitrakopoulos, Vassilis P. Plagianakos
2018	—	`conf`	Biomedical Data Ensemble Classification using Random Projections. IEEE BigData Sotiris K. Tasoulis, Aristidis G. Vrahatis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos
2018	—	`conf`	Convolutional Neural Networks for Toxic Comment Classification. SETN Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Vassilis P. Plagianakos
2018	J	`jnl`	Convolutional Neural Networks for Toxic Comment Classification. CoRR Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Vassilis P. Plagianakos
2018	—	`conf`	Pathway analysis using XGBoost classification in Biomedical Data. SETN Georgios N. Dimitrakopoulos, Aristidis G. Vrahatis, Vassilis P. Plagianakos, Kyriakos N. Sgarbas
2018	C	`conf`	Real Time Sentiment Change Detection of Twitter Data Streams. INISTA Sotiris K. Tasoulis, Aristidis G. Vrahatis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos
2018	J	`jnl`	Real Time Sentiment Change Detection of Twitter Data Streams. CoRR Sotiris K. Tasoulis, Aristidis G. Vrahatis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos
2018	—	`conf`	Visualizing High-dimensional single-cell RNA-sequencing data through multiple Random Projections. IEEE BigData Sotiris K. Tasoulis, Aristidis G. Vrahatis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos
2017	J	`jnl`	Detecting Perturbed Subpathways towards Mouse Lung Regeneration Following H1N1 Influenza Infection. Comput. Aristidis G. Vrahatis, Konstantina Dimitrakopoulou, Andreas Kanavos, Spyros Sioutas, Athanasios K. Tsakalidis
2017	C	`conf`	Driving Mental Fatigue Classification Based on Brain Functional Connectivity. EANN Georgios N. Dimitrakopoulos, Ioannis Kakkos, Aristidis G. Vrahatis, Kyriakos N. Sgarbas, Junhua Li, Yu Sun, Anastasios Bezerianos
2017	J	`jnl`	Tensor-Based Semantically-Aware Topic Clustering of Biomedical Documents. Comput. Georgios Drakopoulos, Andreas Kanavos, Ioannis Karydis, Spyros Sioutas, Aristidis G. Vrahatis
2016	J	`jnl`	DEsubs: an R package for flexible identification of differentially expressed subpathways using RNA-seq experiments. Bioinform. Aristidis G. Vrahatis, Panos Balomenos, Athanasios K. Tsakalidis, Anastasios Bezerianos
2016	—	`conf`	Identifying disease network perturbations through regression on gene expression and pathway topology analysis. EMBC Georgios N. Dimitrakopoulos, Panos Balomenos, Aristidis G. Vrahatis, Kyriakos N. Sgarbas, Anastasios Bezerianos
2015	—	`conf`	Age-related subpathway detection through meta-analysis of multiple gene expression datasets. DSP Georgios N. Dimitrakopoulos, Aristidis G. Vrahatis, Panos Balomenos, Kyriakos N. Sgarbas, Anastasios Bezerianos
2015	—	`conf`	Identifying miRNA-mediated signaling subpathways by integrating paired miRNA/mRNA expression data with pathway topology. EMBC Aristidis G. Vrahatis, Georgios N. Dimitrakopoulos, Athanasios K. Tsakalidis, Anastasios Bezerianos
2013	J	`jnl`	OLYMPUS: An automated hybrid clustering method in time series gene expression. Case study: Host response after Influenza A (H1N1) infection. Comput. Methods Programs Biomed. Konstantina Dimitrakopoulou, Aristidis G. Vrahatis, Esther Wilk, Athanasios K. Tsakalidis, Anastasios Bezerianos