On a Certain Class of Algorithms for Noise Removal in Image Processing: A Comparative Study. - Catalina Cocianu; Luminita State; Panayiotis M. Vlamos (ITCC, 2002)

On the Efficiency of a Certain Class of Noise Removal Algorithms in Solving Image Processing Tasks. - Catalina Cocianu; Luminita State; Panayiotis M. Vlamos; Viorica Stefanescu (ICINCO (3), 2004)

A Neural Network Framework for Implementing the Bayesian Learning. - Luminita State; Catalina Cocianu; Viorica Stefanescu; Panayiotis M. Vlamos (ICINCO (3), 2004)

PCA-based data mining probabilistic and fuzzy approaches with applications in pattern recognition. - Luminita State; Catalina Cocianu; Panayiotis M. Vlamos; Viorica Stefanescu (ICSOFT (2), 2006)

A Connectionist Approach in Bayesian Classification. - Luminita State; Catalina Cocianu; Panayiotis M. Vlamos; Viorica Stefanescu (ICEIS (2), 2007)

Stochastic packet reconstruction for subjectively improved audio delivery over WLANs. - Andreas Floros 001; Markos Avlonitis; Panayiotis M. Vlamos (MobiMedia, 2007)

A New Adaptive Classification Scheme Based on Skeleton Information. - Catalina Cocianu; Luminita State; Ion Rosca; Panayiotis M. Vlamos (SIGMAP, 2007)

Principal Directions-Based Algorithm for Classification Tasks. - Luminita State; Catalina Cocianu; Panayiotis M. Vlamos; Doru Constantin (SYNASC, 2007)

A New Learning Algorithm for Classification in the Reduced Space. - Luminita State; Catalina Cocianu; Ion Rosca; Panayiotis M. Vlamos (ICEIS (2), 2008)

Neural Approaches to Image Compression/Decompression Using PCA based Learning Algorithms. - Luminita State; Catalina Cocianu; Panayiotis M. Vlamos; Doru Constantin (PRIS, 2008)

An unsupervised skeleton based method to discover the structure of the class system. - Luminita State; Catalina Cocianu; Panayiotis M. Vlamos (RCIS, 2008)

Decorrelation Techniques in Image Restoration. - Catalina Cocianu; Luminita State; Panayiotis M. Vlamos; Doru Constantin (SIGMAP, 2008)

Meandric polygons. - A. Panayotopoulos; Panayiotis M. Vlamos (Ars Comb., 2008)

A New Approach on the Canonical k-vertex Polygon Retrieval Problem on the Plane - Spyros Sioutas; Dimitrios Sofotassios; Kostas Tsichlas; Dimitrios Sotiropoulos; Panayiotis M. Vlamos (CoRR, 2008)

Frequency-Domain Stochastic Error Concealment for Wireless Audio Applications. - Andreas Floros 001; Markos Avlonitis; Panayiotis M. Vlamos (Mob. Networks Appl., 2008)

PCA Supervised and Unsupervised Classifiers in Signal Processing. - Catalina Cocianu; Luminita State; Panayiotis M. Vlamos; Doru Constantin; Corina Sararu (PRIS, 2009)

Toward a Semi-supervised Approach in Classification based on Principal Directions. - Luminita State; Catalina Cocianu; Doru Constantin; Corina Sararu; Panayiotis M. Vlamos (SIGMAP, 2009)

Canonical Polygon Queries on the Plane: A New Approach. - Spyros Sioutas; Dimitrios Sofotassios; Kostas Tsichlas; Dimitrios Sotiropoulos; Panayiotis M. Vlamos (J. Comput., 2009)

Comparing a well designed webcast with traditional learning. - Michail N. Giannakos; Panayiotis M. Vlamos (SIGITE Conference, 2010)

A New Method for Learning the Support Vector Machines. - Catalina-Lucia Cocianu; Luminita State; Panayiotis M. Vlamos (ICSOFT (2), 2011)

Ethical Issues of Artificial Biomedical Applications. - Athanasios Alexiou; Maria Psixa; Panagiotis Vlamos (AIAI, 2011)

Programming in secondary education: benefits and perspectives. - Michail N. Giannakos; Spyros Doukakis; Panayiotis M. Vlamos; Christos Koilias (ITiCSE, 2011)

Identifying the predictors of educational webcasts' adoption. - Michail N. Giannakos; Panayiotis M. Vlamos (ITiCSE, 2011)

Square AR: Using Augmented Reality for Urban Planning. - Kostas Anagnostou; Panagiotis Vlamos (VS-GAMES, 2011)

An Integrated Ontology-Based Model for the Early Diagnosis of Parkinson's Disease. - Athanasios Alexiou; Maria Psixa; Panayiotis M. Vlamos (AIAI (2), 2012)

Cutting Degree of Meanders. - A. Panayotopoulos; Panayiotis M. Vlamos (AIAI (2), 2012)

A Cultural Algorithm for the Representation of Mitochondrial Population. - Athanasios Alexiou; Panayiotis M. Vlamos (Adv. Artif. Intell., 2012)

Automated prediction procedure for Charcot-Marie-Tooth disease. - Athanasios Alexiou; Maria Psiha; Georgia Theocharopoulou; Panayiotis M. Vlamos (BIBE, 2013)

Algorithmic Problem Solving Using Interactive Virtual Environment: A Case Study. - Antonia Plerou; Panayiotis M. Vlamos (EANN (1), 2013)

Ethical Issues in Neuroinformatics. - Athanasios Alexiou; Georgia Theocharopoulou; Panayiotis M. Vlamos (AIAI, 2013)

Artificial Intelligence Applications in Biomedicine. - Panayiotis M. Vlamos; Konstantinos Lefkimmiatis; Catalina Cocianu; Luminita State; Zhiyuan Luo 001 (Adv. Artif. Intell., 2013)

Using Facebook out of habit. - Michail N. Giannakos; Konstantinos Chorianopoulos; Konstantinos K. Giotopoulos; Panayiotis M. Vlamos (Behav. Inf. Technol., 2013)

Educational webcasts' acceptance: Empirical examination and the role of experience. - Michail N. Giannakos; Panayiotis M. Vlamos (Br. J. Educ. Technol., 2013)

Using webcasts in education: Evaluation of its effectiveness. - Michail N. Giannakos; Panayiotis M. Vlamos (Br. J. Educ. Technol., 2013)

Measuring Students' Acceptance and Confidence on Algorithms and Programming: The Impact of the Engagement with CS on Secondary Education. - Spyros Doukakis; Michail N. Giannakos; Christos Koilias; Panayiotis M. Vlamos (Informatics Educ., 2013)

Cognitive science: From molecular biology to brain function. - Antonia Plerou; Catherine Bobori; Panayiotis M. Vlamos (IISA, 2015)

Detection of oxidative stress in neurodegenerative diseases. - Antigoni Avramouli; Georgia Theocharopoulou; Panayiotis M. Vlamos (ISSPIT, 2015)

Molecular basis of Huntington's disease and brain imaging evidence. - Antonia Plerou; Catherine Bobori; Panayiotis M. Vlamos (ISSPIT, 2015)

Partitioning the Meandering Curves. - A. Panayotopoulos; Panayiotis M. Vlamos (Math. Comput. Sci., 2015)

Associating ω-automata to path queries on Webs of Linked Data. - Konstantinos Giannakis; Georgia Theocharopoulou; Christos Papalitsas; Theodore Andronikos; Panayiotis M. Vlamos (Eng. Appl. Artif. Intell., 2016)

Assessing attention in visual and textual programming using neuroeducation approaches. - Spyridon Doukakis; Mary-Angela Papalaskari; Panayiotis M. Vlamos; Antonia Plerou; Panagiota Giannopoulou (ITiCSE, 2018)

Automated shape-based clustering of 3D immunoglobulin protein structures in chronic lymphocytic leukemia. - Eleftheria Polychronidou; Ilias Kalamaras; Andreas Agathangelidis; Lesley Ann Sutton; Xiao-Jie Yan; Vasilis Bikos; Anna Vardi; Konstantinos Mochament; Nicholas Chiorazzi; Chrysoula Belessi; Richard Rosenquist; Paolo Ghia; et al. (BMC Bioinform., 2018)

Complexity in Medical Informatics. - Panagiotis Vlamos; Ilias S. Kotsireas; Dimitrios Vlachakis (Complex., 2019)

Diagnosing asthma and chronic obstructive pulmonary disease with machine learning. - Dimitris Spathis; Panayiotis M. Vlamos (Health Informatics J., 2019)

Analysis and design of an information system for cognitive training of patients with mild cognitive impairment using mobile devices. - Panagiota Giannopoulou; Panayiotis M. Vlamos (SEEDA-CECNSM, 2020)

Contributing factors to Alzheimer's Disease and biomarker identification techniques. - Konstantina Skolariki; Themis P. Exarchos; Panagiotis Vlamos (SEEDA-CECNSM, 2020)

Pathway Analysis for unraveling Complex Diseases: Current State and Future Perpectives. - Aristidis G. Vrahatis; Panagiotis Vlamos; Antigoni Avramouli; Themis P. Exarchos; Maria Gonidi (SEEDA-CECNSM, 2020)

Network Biomarkers for Alzheimer's Disease via a Graph-based Approach. - Aristidis G. Vrahatis; Panagiotis Vlamos; Maria Gonidi; Maria Sagiadinou; Antigoni Avramouli (SEEDA-CECNSM, 2020)

Recent Dimensionality Reduction Techniques for Visualizing High-Dimensional Parkinson's Disease Omics Data. - Marios G. Krokidis; Georgios N. Dimitrakopoulos; Aristidis G. Vrahatis; Themis P. Exarchos; Panagiotis Vlamos (IEEE BigData, 2021)

Enhancement Programming Skills and Transforming Knowledge of Programming through Neuroeducation Approaches. - Spyridon Doukakis; Panagiotis Vlamos (CoRR, 2021)

Mathematical Multidimensional Modelling and Structural Artificial Intelligence Pipelines Provide Insights for the Designing of Highly Specific AntiSARS-CoV2 Agents. - Dimitrios Vlachakis; Panayiotis M. Vlamos (Math. Comput. Sci., 2021)

Exhaled Breath Condensate Study for Biomarkers Discovery. - S. Patsiris; Themis P. Exarchos; Panayiotis M. Vlamos (IWBBIO (2), 2022)

A Hybrid Deep Learning model for predicting the early Alzheimer's Disease stages using MRI. - Eugenia Papadaki; Themis P. Exarchos; Panagiotis Vlamos; Aristidis G. Vrahatis (SETN, 2022)

A Sensor-Based Perspective in Early-Stage Parkinson's Disease: Current State and the Need for Machine Learning Processes. - Marios G. Krokidis; Georgios N. Dimitrakopoulos; Aristidis G. Vrahatis; Christos Tzouvelekis; Dimitrios Drakoulis; Foteini Papavassileiou; Themis P. Exarchos; Panayiotis M. Vlamos (Sensors, 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)

Advanced Big Data Analysis for Deciphering the Role of Protein Misfolding and Interactions in the Pathogenesis of Alzheimer's Disease. - Marios G. Krokidis; Georgios N. Dimitrakopoulos; 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)

Challenges and limitations in computational prediction of protein misfolding in neurodegenerative diseases. - Marios G. Krokidis; Georgios N. Dimitrakopoulos; Aristidis G. Vrahatis; Themis P. Exarchos; Panagiotis Vlamos (Frontiers Comput. Neurosci., 2023)

Exploring gene-drug interactions for personalized treatment of post-traumatic stress disorder. - Konstantina Skolariki; Panagiotis Vlamos (Frontiers Comput. Neurosci., 2023)

Enhancing Cognitive Performance and Monitoring through a Mobile App: Insights from the Rodi Study. - Panagiota Giannopoulou; Panayiotis M. Vlamos; Mary-Angela Papalaskari (Int. J. Online Biomed. Eng., 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)

Design, Implementation, and Evaluation of Online Bioinformatics and Neuroinformatics Labs. - Spyridon Doukakis; Aristidis G. Vrahatis; Themis P. Exarchos; Maria Hadjinicolaou; Panagiotis Vlamos; Chrystalla Mouza (Int. J. Online Biomed. Eng., 2023)

Evaluation of a Mobile Application for Cognitive Training in Healthy Adults. - Panagiota Giannopoulou; Panayiotis M. Vlamos; Mary-Angela Papalaskari (Int. J. Interact. Mob. Technol., 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)

Optimization of Healthcare Process Management Using Machine Learning. - Andreas Avgoustis; Themis P. Exarchos; Aristidis G. Vrahatis; Panagiotis Vlamos (AIAI (1), 2024)

Integrating Machine Learning and Biological Context for Single-Cell Gene Regulatory Network Inference. - Dimitris E. Koumadorakis; Georgios N. Dimitrakopoulos; Themis P. Exarchos; Panagiotis Vlamos; Aristidis G. Vrahatis (AIAI (Workshops), 2024)

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)

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)

Predicting the Conversion from Mild Cognitive Impairment to Alzheimer's Disease Using an Explainable AI Approach. - Gerasimos Grammenos; Aristidis G. Vrahatis; Panagiotis Vlamos; Dean Palejev; Themis P. Exarchos; Alzheimer's Disease Neuroimaging Initiative (Inf., 2024)

Computational Analysis of Marker Genes in Alzheimer's Disease across Multiple Brain Regions. - Panagiotis Karanikolaos; Marios G. Krokidis; Themis P. Exarchos; Panagiotis Vlamos (Inf., 2024)