Panayiotis M. Vlamos

Orcid: 0000-0003-0053-7847

Affiliations:
  • Ionian University, Corfu, Greece


According to our database1, Panayiotis M. Vlamos authored at least 70 papers between 2002 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Computational Analysis of Marker Genes in Alzheimer's Disease across Multiple Brain Regions.
Inf., September, 2024

Predicting the Conversion from Mild Cognitive Impairment to Alzheimer's Disease Using an Explainable AI Approach.
Inf., May, 2024

Graph neural network approaches for single-cell data: a recent overview.
Neural Comput. Appl., 2024

Advancing ScRNA-Seq Data Integration via a Novel Gene Selection Method.
Proceedings of the Artificial Intelligence Applications and Innovations, 2024

Integrating Machine Learning and Biological Context for Single-Cell Gene Regulatory Network Inference.
Proceedings of the Artificial Intelligence Applications and Innovations. AIAI 2024 IFIP WG 12.5 International Workshops, 2024

Optimization of Healthcare Process Management Using Machine Learning.
Proceedings of the Artificial Intelligence Applications and Innovations, 2024

2023
Methods for cell-type annotation on scRNA-seq data: A recent overview.
J. Bioinform. Comput. Biol., October, 2023

Evaluation of a Mobile Application for Cognitive Training in Healthy Adults.
Int. J. Interact. Mob. Technol., August, 2023

Design, Implementation, and Evaluation of Online Bioinformatics and Neuroinformatics Labs.
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.
Sensors, 2023

Enhancing Cognitive Performance and Monitoring through a Mobile App: Insights from the Rodi Study.
Int. J. Online Biomed. Eng., 2023

Exploring gene-drug interactions for personalized treatment of post-traumatic stress disorder.
Frontiers Comput. Neurosci., 2023

Challenges and limitations in computational prediction of protein misfolding in neurodegenerative diseases.
Frontiers Comput. Neurosci., 2023

Applying SCALEX scRNA-Seq Data Integration for Precise Alzheimer's Disease Biomarker Discovery.
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.
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.
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.
Sensors, 2022

A Hybrid Deep Learning model for predicting the early Alzheimer's Disease stages using MRI.
Proceedings of the SETN 2022: 12th Hellenic Conference on Artificial Intelligence, Corfu, Greece, September 7, 2022

Exhaled Breath Condensate Study for Biomarkers Discovery.
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.
Math. Comput. Sci., 2021

Enhancement Programming Skills and Transforming Knowledge of Programming through Neuroeducation Approaches.
CoRR, 2021

Recent Dimensionality Reduction Techniques for Visualizing High-Dimensional Parkinson's Disease Omics Data.
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.
Proceedings of the 5th South-East Europe Design Automation, 2020

Pathway Analysis for unraveling Complex Diseases: Current State and Future Perpectives.
Proceedings of the 5th South-East Europe Design Automation, 2020

Contributing factors to Alzheimer's Disease and biomarker identification techniques.
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.
Proceedings of the 5th South-East Europe Design Automation, 2020

2019
Diagnosing asthma and chronic obstructive pulmonary disease with machine learning.
Health Informatics J., 2019

Complexity in Medical Informatics.
Complex., 2019

2018
Automated shape-based clustering of 3D immunoglobulin protein structures in chronic lymphocytic leukemia.
BMC Bioinform., 2018

Assessing attention in visual and textual programming using neuroeducation approaches.
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.
Eng. Appl. Artif. Intell., 2016

2015
Partitioning the Meandering Curves.
Math. Comput. Sci., 2015

Molecular basis of Huntington's disease and brain imaging evidence.
Proceedings of the IEEE International Symposium on Signal Processing and Information Technology, 2015

Detection of oxidative stress in neurodegenerative diseases.
Proceedings of the IEEE International Symposium on Signal Processing and Information Technology, 2015

Cognitive science: From molecular biology to brain function.
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.
Informatics Educ., 2013

Using webcasts in education: Evaluation of its effectiveness.
Br. J. Educ. Technol., 2013

Educational webcasts' acceptance: Empirical examination and the role of experience.
Br. J. Educ. Technol., 2013

Using Facebook out of habit.
Behav. Inf. Technol., 2013

Artificial Intelligence Applications in Biomedicine.
Adv. Artif. Intell., 2013

Ethical Issues in Neuroinformatics.
Proceedings of the Artificial Intelligence Applications and Innovations, 2013

Algorithmic Problem Solving Using Interactive Virtual Environment: A Case Study.
Proceedings of the Engineering Applications of Neural Networks, 2013

Automated prediction procedure for Charcot-Marie-Tooth disease.
Proceedings of the 13th IEEE International Conference on BioInformatics and BioEngineering, 2013

2012
A Cultural Algorithm for the Representation of Mitochondrial Population.
Adv. Artif. Intell., 2012

Cutting Degree of Meanders.
Proceedings of the Artificial Intelligence Applications and Innovations, 2012

An Integrated Ontology-Based Model for the Early Diagnosis of Parkinson's Disease.
Proceedings of the Artificial Intelligence Applications and Innovations, 2012

2011
Square AR: Using Augmented Reality for Urban Planning.
Proceedings of the Third International Conference on Games and Virtual Worlds for Serious Applications, 2011

Identifying the predictors of educational webcasts' adoption.
Proceedings of the 16th Annual SIGCSE Conference on Innovation and Technology in Computer Science Education, 2011

Programming in secondary education: benefits and perspectives.
Proceedings of the 16th Annual SIGCSE Conference on Innovation and Technology in Computer Science Education, 2011

Ethical Issues of Artificial Biomedical Applications.
Proceedings of the Artificial Intelligence Applications and Innovations, 2011

A New Method for Learning the Support Vector Machines.
Proceedings of the ICSOFT 2011, 2011

2010
Comparing a well designed webcast with traditional learning.
Proceedings of the 11th Conference on Information Technology Education, 2010

2009
Canonical Polygon Queries on the Plane: A New Approach.
J. Comput., 2009

Toward a Semi-supervised Approach in Classification based on Principal Directions.
Proceedings of the SIGMAP 2009, 2009

PCA Supervised and Unsupervised Classifiers in Signal Processing.
Proceedings of the Pattern Recognition in Information Systems, 2009

2008
Frequency-Domain Stochastic Error Concealment for Wireless Audio Applications.
Mob. Networks Appl., 2008

A New Approach on the Canonical k-vertex Polygon Retrieval Problem on the Plane
CoRR, 2008

Meandric polygons.
Ars Comb., 2008

Decorrelation Techniques in Image Restoration.
Proceedings of the SIGMAP 2008, 2008

An unsupervised skeleton based method to discover the structure of the class system.
Proceedings of the IEEE International Conference on Research Challenges in Information Science, 2008

Neural Approaches to Image Compression/Decompression Using PCA based Learning Algorithms.
Proceedings of the Pattern Recognition in Information Systems, 2008

A New Learning Algorithm for Classification in the Reduced Space.
Proceedings of the ICEIS 2008, 2008

2007
Principal Directions-Based Algorithm for Classification Tasks.
Proceedings of the Ninth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2007

A New Adaptive Classification Scheme Based on Skeleton Information.
Proceedings of the SIGMAP 2007, 2007

Stochastic packet reconstruction for subjectively improved audio delivery over WLANs.
Proceedings of the 3rd International Conference on Mobile Multimedia Communications, 2007

A Connectionist Approach in Bayesian Classification.
Proceedings of the ICEIS 2007, 2007

2006
PCA-based data mining probabilistic and fuzzy approaches with applications in pattern recognition.
Proceedings of the ICSOFT 2006, 2006

2004
A Neural Network Framework for Implementing the Bayesian Learning.
Proceedings of the ICINCO 2004, 2004

On the Efficiency of a Certain Class of Noise Removal Algorithms in Solving Image Processing Tasks.
Proceedings of the ICINCO 2004, 2004

2002
On a Certain Class of Algorithms for Noise Removal in Image Processing: A Comparative Study.
Proceedings of the 2002 International Symposium on Information Technology (ITCC 2002), 2002


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