Panayiotis M. Vlamos

According to our database, Panayiotis M. Vlamos authored at least 62 papers between 2002 and 2023.

Collaborative distances:

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

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

Evaluation of a Mobile Application for Cognitive Training in Healthy Adults.

Panagiota Giannopoulou, Panayiotis M. Vlamos, Mary-Angela Papalaskari

Int. J. Interact. Mob. Technol., August, 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., January, 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

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

Konstantinos Lazaros, Dimitris E. Koumadorakis, Panagiotis Vlamos, Aristidis G. Vrahatis

CoRR, 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

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

Proceedings of the IEEE International Conference on Big Data, 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

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 Hybrid Deep Learning model for predicting the early Alzheimer's Disease stages using MRI.

Eugenia Papadaki, Themis P. Exarchos, Panagiotis Vlamos, Aristidis G. Vrahatis

Proceedings of the SETN 2022: 12th Hellenic Conference on Artificial Intelligence, Corfu, Greece, September 7, 2022

Exhaled Breath Condensate Study for Biomarkers Discovery.

S. Patsiris, Themis P. Exarchos, Panayiotis M. Vlamos

Proceedings of the Bioinformatics and Biomedical Engineering, 2022

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

Enhancement Programming Skills and Transforming Knowledge of Programming through Neuroeducation Approaches.

Spyridon Doukakis, Panagiotis Vlamos

CoRR, 2021

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

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

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

Aristidis G. Vrahatis, Panagiotis Vlamos, Maria Gonidi, Maria Sagiadinou, Antigoni Avramouli

Proceedings of the 5th South-East Europe Design Automation, 2020

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

Aristidis G. Vrahatis, Panagiotis Vlamos, Antigoni Avramouli, Themis P. Exarchos, Maria Gonidi

Proceedings of the 5th South-East Europe Design Automation, 2020

Contributing factors to Alzheimer's Disease and biomarker identification techniques.

Konstantina Skolariki, Themis P. Exarchos, Panagiotis Vlamos

Proceedings of the 5th South-East Europe Design Automation, 2020

Analysis and design of an information system for cognitive training of patients with mild cognitive impairment using mobile devices.

Panagiota Giannopoulou, Panayiotis M. Vlamos

Proceedings of the 5th South-East Europe Design Automation, 2020

2019

Diagnosing asthma and chronic obstructive pulmonary disease with machine learning.

Dimitris Spathis, Panayiotis M. Vlamos

Health Informatics J., 2019

Complexity in Medical Informatics.

Panagiotis Vlamos, Ilias S. Kotsireas, Dimitrios Vlachakis

Complex., 2019

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, Kostas Stamatopoulos, Panayiotis M. Vlamos, Anna Chailyan, Nanna Overby, Paolo Marcatili, Anastasia Hatzidimitriou, Dimitrios Tzovaras

BMC Bioinform., 2018

Assessing attention in visual and textual programming using neuroeducation approaches.

Spyridon Doukakis, Mary-Angela Papalaskari, Panayiotis M. Vlamos, Antonia Plerou, Panagiota Giannopoulou

Proceedings of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education, 2018

2016

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

2015

Partitioning the Meandering Curves.

A. Panayotopoulos, Panayiotis M. Vlamos

Math. Comput. Sci., 2015

Molecular basis of Huntington's disease and brain imaging evidence.

Antonia Plerou, Catherine Bobori, Panayiotis M. Vlamos

Proceedings of the IEEE International Symposium on Signal Processing and Information Technology, 2015

Detection of oxidative stress in neurodegenerative diseases.

Antigoni Avramouli, Georgia Theocharopoulou, Panayiotis M. Vlamos

Proceedings of the IEEE International Symposium on Signal Processing and Information Technology, 2015

Cognitive science: From molecular biology to brain function.

Antonia Plerou, Catherine Bobori, Panayiotis M. Vlamos

Proceedings of the 6th International Conference on Information, 2015

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

Using webcasts in education: Evaluation of its effectiveness.

Michail N. Giannakos, Panayiotis M. Vlamos

Br. J. Educ. Technol., 2013

Educational webcasts' acceptance: Empirical examination and the role of experience.

Michail N. Giannakos, Panayiotis M. Vlamos

Br. J. Educ. Technol., 2013

Using Facebook out of habit.

Michail N. Giannakos, Konstantinos Chorianopoulos, Konstantinos K. Giotopoulos, Panayiotis M. Vlamos

Behav. Inf. Technol., 2013

Artificial Intelligence Applications in Biomedicine.

Panayiotis M. Vlamos, Konstantinos Lefkimmiatis, Catalina Cocianu, Luminita State, Zhiyuan Luo

Adv. Artif. Intell., 2013

Ethical Issues in Neuroinformatics.

Athanasios Alexiou, Georgia Theocharopoulou, Panayiotis M. Vlamos

Proceedings of the Artificial Intelligence Applications and Innovations, 2013

Algorithmic Problem Solving Using Interactive Virtual Environment: A Case Study.

Antonia Plerou, Panayiotis M. Vlamos

Proceedings of the Engineering Applications of Neural Networks, 2013

Automated prediction procedure for Charcot-Marie-Tooth disease.

Athanasios Alexiou, Maria Psiha, Georgia Theocharopoulou, Panayiotis M. Vlamos

Proceedings of the 13th IEEE International Conference on BioInformatics and BioEngineering, 2013

2012

A Cultural Algorithm for the Representation of Mitochondrial Population.

Athanasios Alexiou, Panayiotis M. Vlamos

Adv. Artif. Intell., 2012

Cutting Degree of Meanders.

A. Panayotopoulos, Panayiotis M. Vlamos

Proceedings of the Artificial Intelligence Applications and Innovations, 2012

An Integrated Ontology-Based Model for the Early Diagnosis of Parkinson's Disease.

Athanasios Alexiou, Maria Psixa, Panayiotis M. Vlamos

Proceedings of the Artificial Intelligence Applications and Innovations, 2012

2011

Square AR: Using Augmented Reality for Urban Planning.

Kostas Anagnostou, Panagiotis Vlamos

Proceedings of the Third International Conference on Games and Virtual Worlds for Serious Applications, 2011

Identifying the predictors of educational webcasts' adoption.

Michail N. Giannakos, Panayiotis M. Vlamos

Proceedings of the 16th Annual SIGCSE Conference on Innovation and Technology in Computer Science Education, 2011

Programming in secondary education: benefits and perspectives.

Michail N. Giannakos, Spyros Doukakis, Panayiotis M. Vlamos, Christos Koilias

Proceedings of the 16th Annual SIGCSE Conference on Innovation and Technology in Computer Science Education, 2011

Ethical Issues of Artificial Biomedical Applications.

Athanasios Alexiou, Maria Psixa, Panagiotis Vlamos

Proceedings of the Artificial Intelligence Applications and Innovations, 2011

A New Method for Learning the Support Vector Machines.

Catalina-Lucia Cocianu, Luminita State, Panayiotis M. Vlamos

Proceedings of the ICSOFT 2011, 2011

2010

Comparing a well designed webcast with traditional learning.

Michail N. Giannakos, Panayiotis M. Vlamos

Proceedings of the 11th Conference on Information Technology Education, 2010

2009

Canonical Polygon Queries on the Plane: A New Approach.

Spyros Sioutas, Dimitrios Sofotassios, Kostas Tsichlas, Dimitrios Sotiropoulos, Panayiotis M. Vlamos

J. Comput., 2009

Toward a Semi-supervised Approach in Classification based on Principal Directions.

Luminita State, Catalina Cocianu, Doru Constantin, Corina Sararu, Panayiotis M. Vlamos

Proceedings of the SIGMAP 2009, 2009

PCA Supervised and Unsupervised Classifiers in Signal Processing.

Catalina Cocianu, Luminita State, Panayiotis M. Vlamos, Doru Constantin, Corina Sararu

Proceedings of the Pattern Recognition in Information Systems, 2009

2008

Frequency-Domain Stochastic Error Concealment for Wireless Audio Applications.

Andreas Floros, Markos Avlonitis, Panayiotis M. Vlamos

Mob. Networks Appl., 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

Meandric polygons.

A. Panayotopoulos, Panayiotis M. Vlamos

Ars Comb., 2008

Decorrelation Techniques in Image Restoration.

Catalina Cocianu, Luminita State, Panayiotis M. Vlamos, Doru Constantin

Proceedings of the SIGMAP 2008, 2008

An unsupervised skeleton based method to discover the structure of the class system.

Luminita State, Catalina Cocianu, Panayiotis M. Vlamos

Proceedings of the IEEE International Conference on Research Challenges in Information Science, 2008

Neural Approaches to Image Compression/Decompression Using PCA based Learning Algorithms.

Luminita State, Catalina Cocianu, Panayiotis M. Vlamos, Doru Constantin

Proceedings of the Pattern Recognition in Information Systems, 2008

A New Learning Algorithm for Classification in the Reduced Space.

Luminita State, Catalina Cocianu, Ion Rosca, Panayiotis M. Vlamos

Proceedings of the ICEIS 2008, 2008

2007

Principal Directions-Based Algorithm for Classification Tasks.

Luminita State, Catalina Cocianu, Panayiotis M. Vlamos, Doru Constantin

Proceedings of the Ninth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2007

A New Adaptive Classification Scheme Based on Skeleton Information.

Catalina Cocianu, Luminita State, Ion Rosca, Panayiotis M. Vlamos

Proceedings of the SIGMAP 2007, 2007

Stochastic packet reconstruction for subjectively improved audio delivery over WLANs.

Andreas Floros, Markos Avlonitis, Panayiotis M. Vlamos

Proceedings of the 3rd International Conference on Mobile Multimedia Communications, 2007

A Connectionist Approach in Bayesian Classification.

Luminita State, Catalina Cocianu, Panayiotis M. Vlamos, Viorica Stefanescu

Proceedings of the ICEIS 2007, 2007

2006

PCA-based data mining probabilistic and fuzzy approaches with applications in pattern recognition.

Luminita State, Catalina Cocianu, Panayiotis M. Vlamos, Viorica Stefanescu

Proceedings of the ICSOFT 2006, 2006

2004

A Neural Network Framework for Implementing the Bayesian Learning.

Luminita State, Catalina Cocianu, Viorica Stefanescu, Panayiotis M. Vlamos

Proceedings of the ICINCO 2004, 2004

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

Proceedings of the ICINCO 2004, 2004

2002

On a Certain Class of Algorithms for Noise Removal in Image Processing: A Comparative Study.

Catalina Cocianu, Luminita State, Panayiotis M. Vlamos

Proceedings of the 2002 International Symposium on Information Technology (ITCC 2002), 2002