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ORCIDPanayiotis M. Vlamos
Panagiotis Vlamos
Person information
- affiliation: Ionian University, Corfu, Greece
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Journal Articles
- 2024
[j26]Gerasimos Grammenos, Aristidis G. Vrahatis
, Panagiotis Vlamos, Dean Palejev, Themis P. Exarchos, Alzheimer's Disease Neuroimaging Initiative:
Predicting the Conversion from Mild Cognitive Impairment to Alzheimer's Disease Using an Explainable AI Approach. Inf. 15(5): 249 (2024)- [j25]Panagiotis Karanikolaos, Marios G. Krokidis, Themis P. Exarchos, Panagiotis Vlamos:
Computational Analysis of Marker Genes in Alzheimer's Disease across Multiple Brain Regions. Inf. 15(9): 523 (2024) - [j24]Konstantinos Lazaros, Dimitris E. Koumadorakis, Panagiotis Vlamos, Aristidis G. Vrahatis:
Graph neural network approaches for single-cell data: a recent overview. Neural Comput. Appl. 36(17): 9963-9987 (2024) - 2023
- [j23]Marios G. Krokidis, Georgios N. Dimitrakopoulos, Aristidis G. Vrahatis, Themis P. Exarchos, Panagiotis Vlamos:
Challenges and limitations in computational prediction of protein misfolding in neurodegenerative diseases. Frontiers Comput. Neurosci. 17 (2023) - [j22]Konstantina Skolariki, Panagiotis Vlamos:
Exploring gene-drug interactions for personalized treatment of post-traumatic stress disorder. Frontiers Comput. Neurosci. 17 (2023) - [j21]Panagiota Giannopoulou, Panayiotis M. Vlamos, Mary-Angela Papalaskari:
Evaluation of a Mobile Application for Cognitive Training in Healthy Adults. Int. J. Interact. Mob. Technol. 17(15): 84-102 (2023) - [j20]Spyridon Doukakis, Aristidis G. Vrahatis, Themis P. Exarchos, Maria Hadjinicolaou, Panagiotis Vlamos, Chrystalla Mouza:
Design, Implementation, and Evaluation of Online Bioinformatics and Neuroinformatics Labs. Int. J. Online Biomed. Eng. 19(1): 21-37 (2023) - [j19]Panagiota Giannopoulou, Panayiotis M. Vlamos, Mary-Angela Papalaskari:
Enhancing Cognitive Performance and Monitoring through a Mobile App: Insights from the Rodi Study. Int. J. Online Biomed. Eng. 19(18): 31-52 (2023) - [j18]Konstantinos Lazaros, Panagiotis Vlamos, Aristidis G. Vrahatis:
Methods for cell-type annotation on scRNA-seq data: A recent overview. J. Bioinform. Comput. Biol. 21(5): 2340002:1-2340002:34 (2023) - [j17]Aristidis G. Vrahatis, Konstantina Skolariki, Marios G. Krokidis, Konstantinos Lazaros, Themis P. Exarchos, Panagiotis Vlamos:
Revolutionizing the Early Detection of Alzheimer's Disease through Non-Invasive Biomarkers: The Role of Artificial Intelligence and Deep Learning. Sensors 23(9): 4184 (2023) - 2022
- [j16]Marios G. Krokidis, Georgios N. Dimitrakopoulos, Aristidis G. Vrahatis, Christos Tzouvelekis, Dimitrios Drakoulis, Foteini Papavassileiou, Themis P. Exarchos, Panayiotis M. Vlamos:
A Sensor-Based Perspective in Early-Stage Parkinson's Disease: Current State and the Need for Machine Learning Processes. Sensors 22(2): 409 (2022) - 2021
- [j15]Dimitrios Vlachakis, Panayiotis M. Vlamos:
Mathematical Multidimensional Modelling and Structural Artificial Intelligence Pipelines Provide Insights for the Designing of Highly Specific AntiSARS-CoV2 Agents. Math. Comput. Sci. 15(4): 877-888 (2021) - 2019
- [j14]Panagiotis Vlamos, Ilias S. Kotsireas, Dimitrios Vlachakis:
Complexity in Medical Informatics. Complex. 2019: 8658124:1-8658124:2 (2019) - [j13]Dimitris Spathis, Panayiotis M. Vlamos:
Diagnosing asthma and chronic obstructive pulmonary disease with machine learning. Health Informatics J. 25(3) (2019) - 2018
- [j12]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:
Automated shape-based clustering of 3D immunoglobulin protein structures in chronic lymphocytic leukemia. BMC Bioinform. 19-S(14): 67-81 (2018) - 2016
- [j11]Konstantinos Giannakis, Georgia Theocharopoulou, Christos Papalitsas, Theodore Andronikos, Panayiotis M. Vlamos:
Associating ω-automata to path queries on Webs of Linked Data. Eng. Appl. Artif. Intell. 51: 115-123 (2016) - 2015
- [j10]A. Panayotopoulos, Panayiotis M. Vlamos:
Partitioning the Meandering Curves. Math. Comput. Sci. 9(3): 355-364 (2015) - 2013
- [j9]Panayiotis M. Vlamos, Konstantinos Lefkimmiatis, Catalina Cocianu, Luminita State, Zhiyuan Luo:
Artificial Intelligence Applications in Biomedicine. Adv. Artif. Intell. 2013: 219137:1-219137:2 (2013) - [j8]Michail N. Giannakos, Konstantinos Chorianopoulos, Konstantinos K. Giotopoulos, Panayiotis M. Vlamos:
Using Facebook out of habit. Behav. Inf. Technol. 32(6): 594-602 (2013) - [j7]Michail N. Giannakos, Panayiotis M. Vlamos:
Educational webcasts' acceptance: Empirical examination and the role of experience. Br. J. Educ. Technol. 44(1): 125-143 (2013) - [j6]Michail N. Giannakos, Panayiotis M. Vlamos:
Using webcasts in education: Evaluation of its effectiveness. Br. J. Educ. Technol. 44(3): 432-441 (2013) - [j5]Spyros Doukakis, Michail N. Giannakos, Christos Koilias, Panayiotis M. Vlamos:
Measuring Students' Acceptance and Confidence on Algorithms and Programming: The Impact of the Engagement with CS on Secondary Education. Informatics Educ. 12(2): 207-219 (2013) - 2012
- [j4]Athanasios Alexiou, Panayiotis M. Vlamos:
A Cultural Algorithm for the Representation of Mitochondrial Population. Adv. Artif. Intell. 2012: 457351:1-457351:7 (2012) - 2009
- [j3]Spyros Sioutas, Dimitrios Sofotassios, Kostas Tsichlas, Dimitrios Sotiropoulos, Panayiotis M. Vlamos:
Canonical Polygon Queries on the Plane: A New Approach. J. Comput. 4(9): 913-919 (2009) - 2008
- [j2]A. Panayotopoulos, Panayiotis M. Vlamos:
Meandric polygons. Ars Comb. 87 (2008) - [j1]Andreas Floros, Markos Avlonitis, Panayiotis M. Vlamos:
Frequency-Domain Stochastic Error Concealment for Wireless Audio Applications. Mob. Networks Appl. 13(3-4): 357-365 (2008)
Conference and Workshop Papers
- 2024
- [c42]Konstantinos Lazaros, Themis P. Exarchos, Ilias Maglogiannis, Panagiotis Vlamos, Aristidis G. Vrahatis:
Advancing ScRNA-Seq Data Integration via a Novel Gene Selection Method. AIAI (1) 2024: 31-41 - [c41]Andreas Avgoustis, Themis P. Exarchos, Aristidis G. Vrahatis, Panagiotis Vlamos:
Optimization of Healthcare Process Management Using Machine Learning. AIAI (1) 2024: 187-200 - [c40]Dimitris E. Koumadorakis, Georgios N. Dimitrakopoulos, Themis P. Exarchos, Panagiotis Vlamos, Aristidis G. Vrahatis:
Integrating Machine Learning and Biological Context for Single-Cell Gene Regulatory Network Inference. AIAI Workshops 2024: 250-260 - 2023
- [c39]Georgios N. Dimitrakopoulos, Konstantinos Lazaros, Marios G. Krokidis, Themis P. Exarchos, Aristidis G. Vrahatis, Panagiotis Vlamos:
A Graph-Based Approach to Integrate Large-Scale Drug and Protein Data for Alzheimer's Disease Drug Repurposing. IEEE Big Data 2023: 4584-4587 - [c38]Marios G. Krokidis, Georgios N. Dimitrakopoulos, Themis P. Exarchos, Aristidis G. Vrahatis, Panagiotis Vlamos:
Advanced Big Data Analysis for Deciphering the Role of Protein Misfolding and Interactions in the Pathogenesis of Alzheimer's Disease. IEEE Big Data 2023: 4614-4617 - [c37]Aristidis G. Vrahatis, Konstantinos Lazaros, Petros Paplomatas, Marios G. Krokidis, Themis P. Exarchos, Panagiotis Vlamos:
Applying SCALEX scRNA-Seq Data Integration for Precise Alzheimer's Disease Biomarker Discovery. AIAI Workshops 2023: 294-302 - 2022
- [c36]S. Patsiris, Themis P. Exarchos, Panayiotis M. Vlamos:
Exhaled Breath Condensate Study for Biomarkers Discovery. IWBBIO (2) 2022: 83-89 - [c35]Eugenia Papadaki, Themis P. Exarchos, Panagiotis Vlamos, Aristidis G. Vrahatis:
A Hybrid Deep Learning model for predicting the early Alzheimer's Disease stages using MRI. SETN 2022: 38:1-38:6 - 2021
- [c34]Marios G. Krokidis, Georgios N. Dimitrakopoulos, Aristidis G. Vrahatis, Themis P. Exarchos, Panagiotis Vlamos:
Recent Dimensionality Reduction Techniques for Visualizing High-Dimensional Parkinson's Disease Omics Data. IEEE BigData 2021: 4460-4463 - 2020
- [c33]Panagiota Giannopoulou, Panayiotis M. Vlamos:
Analysis and design of an information system for cognitive training of patients with mild cognitive impairment using mobile devices. SEEDA-CECNSM 2020: 1-6 - [c32]Konstantina Skolariki, Themis P. Exarchos, Panagiotis Vlamos:
Contributing factors to Alzheimer's Disease and biomarker identification techniques. SEEDA-CECNSM 2020: 1-8 - [c31]Aristidis G. Vrahatis, Panagiotis Vlamos, Antigoni Avramouli, Themis P. Exarchos, Maria Gonidi:
Pathway Analysis for unraveling Complex Diseases: Current State and Future Perpectives. SEEDA-CECNSM 2020: 1-8 - [c30]Aristidis G. Vrahatis, Panagiotis Vlamos, Maria Gonidi, Maria Sagiadinou, Antigoni Avramouli:
Network Biomarkers for Alzheimer's Disease via a Graph-based Approach. SEEDA-CECNSM 2020: 1-7 - 2018
- [c29]Spyridon Doukakis, Mary-Angela Papalaskari, Panayiotis M. Vlamos, Antonia Plerou, Panagiota Giannopoulou:
Assessing attention in visual and textual programming using neuroeducation approaches. ITiCSE 2018: 392 - 2015
- [c28]Antonia Plerou, Catherine Bobori, Panayiotis M. Vlamos:
Cognitive science: From molecular biology to brain function. IISA 2015: 1-6 - [c27]Antonia Plerou, Catherine Bobori, Panayiotis M. Vlamos:
Molecular basis of Huntington's disease and brain imaging evidence. ISSPIT 2015: 387-391 - [c26]Antigoni Avramouli, Georgia Theocharopoulou, Panayiotis M. Vlamos:
Detection of oxidative stress in neurodegenerative diseases. ISSPIT 2015: 392-396 - 2013
- [c25]Athanasios Alexiou, Maria Psiha, Georgia Theocharopoulou, Panayiotis M. Vlamos:
Automated prediction procedure for Charcot-Marie-Tooth disease. BIBE 2013: 1-4 - [c24]Antonia Plerou, Panayiotis M. Vlamos:
Algorithmic Problem Solving Using Interactive Virtual Environment: A Case Study. EANN (1) 2013: 433-445 - [c23]Athanasios Alexiou, Georgia Theocharopoulou, Panayiotis M. Vlamos:
Ethical Issues in Neuroinformatics. AIAI 2013: 700-705 - 2012
- [c22]Athanasios Alexiou, Maria Psixa, Panayiotis M. Vlamos:
An Integrated Ontology-Based Model for the Early Diagnosis of Parkinson's Disease. AIAI (2) 2012: 442-450 - [c21]A. Panayotopoulos, Panayiotis M. Vlamos:
Cutting Degree of Meanders. AIAI (2) 2012: 480-489 - 2011
- [c20]Catalina-Lucia Cocianu, Luminita State, Panayiotis M. Vlamos:
A New Method for Learning the Support Vector Machines. ICSOFT (2) 2011: 365-370 - [c19]Athanasios Alexiou, Maria Psixa, Panagiotis Vlamos:
Ethical Issues of Artificial Biomedical Applications. EANN/AIAI (2) 2011: 297-302 - [c18]Michail N. Giannakos, Spyros Doukakis, Panayiotis M. Vlamos, Christos Koilias:
Programming in secondary education: benefits and perspectives. ITiCSE 2011: 349 - [c17]Michail N. Giannakos, Panayiotis M. Vlamos:
Identifying the predictors of educational webcasts' adoption. ITiCSE 2011: 376 - [c16]Kostas Anagnostou, Panagiotis Vlamos:
Square AR: Using Augmented Reality for Urban Planning. VS-GAMES 2011: 128-131 - 2010
- [c15]Michail N. Giannakos, Panayiotis M. Vlamos:
Comparing a well designed webcast with traditional learning. SIGITE Conference 2010: 65-68 - 2009
- [c14]Catalina Cocianu, Luminita State, Panayiotis M. Vlamos, Doru Constantin, Corina Sararu:
PCA Supervised and Unsupervised Classifiers in Signal Processing. PRIS 2009: 61-70 - [c13]Luminita State, Catalina Cocianu, Doru Constantin, Corina Sararu, Panayiotis M. Vlamos:
Toward a Semi-supervised Approach in Classification based on Principal Directions. SIGMAP 2009: 68-73 - 2008
- [c12]Luminita State, Catalina Cocianu, Ion Rosca, Panayiotis M. Vlamos:
A New Learning Algorithm for Classification in the Reduced Space. ICEIS (2) 2008: 155-160 - [c11]Luminita State, Catalina Cocianu, Panayiotis M. Vlamos, Doru Constantin:
Neural Approaches to Image Compression/Decompression Using PCA based Learning Algorithms. PRIS 2008: 187-192 - [c10]Luminita State, Catalina Cocianu, Panayiotis M. Vlamos:
An unsupervised skeleton based method to discover the structure of the class system. RCIS 2008: 169-178 - [c9]Catalina Cocianu, Luminita State, Panayiotis M. Vlamos, Doru Constantin:
Decorrelation Techniques in Image Restoration. SIGMAP 2008: 193-196 - 2007
- [c8]Luminita State, Catalina Cocianu, Panayiotis M. Vlamos, Viorica Stefanescu:
A Connectionist Approach in Bayesian Classification. ICEIS (2) 2007: 185-190 - [c7]Andreas Floros, Markos Avlonitis, Panayiotis M. Vlamos:
Stochastic packet reconstruction for subjectively improved audio delivery over WLANs. MobiMedia 2007: 33 - [c6]Catalina Cocianu, Luminita State, Ion Rosca, Panayiotis M. Vlamos:
A New Adaptive Classification Scheme Based on Skeleton Information. SIGMAP 2007: 85-92 - [c5]Luminita State, Catalina Cocianu, Panayiotis M. Vlamos, Doru Constantin:
Principal Directions-Based Algorithm for Classification Tasks. SYNASC 2007: 137-143 - 2006
- [c4]Luminita State, Catalina Cocianu, Panayiotis M. Vlamos, Viorica Stefanescu:
PCA-based data mining probabilistic and fuzzy approaches with applications in pattern recognition. ICSOFT (2) 2006: 55-60 - 2004
- [c3]Catalina Cocianu, Luminita State, Panayiotis M. Vlamos, Viorica Stefanescu:
On the Efficiency of a Certain Class of Noise Removal Algorithms in Solving Image Processing Tasks. ICINCO (3) 2004: 320-323 - [c2]Luminita State, Catalina Cocianu, Viorica Stefanescu, Panayiotis M. Vlamos:
A Neural Network Framework for Implementing the Bayesian Learning. ICINCO (3) 2004: 328-331 - 2002
- [c1]Catalina Cocianu, Luminita State, Panayiotis M. Vlamos:
On a Certain Class of Algorithms for Noise Removal in Image Processing: A Comparative Study. ITCC 2002: 111-116
Editorship
- 2020
- [e1]Claude Frasson, Panagiotis D. Bamidis, Panagiotis Vlamos:
Brain Function Assessment in Learning - Second International Conference, BFAL 2020, Heraklion, Crete, Greece, October 9-11, 2020, Proceedings. Lecture Notes in Computer Science 12462, Springer 2020, ISBN 978-3-030-60734-0 [contents]
Informal and Other Publications
- 2023
- [i3]Konstantinos Lazaros, Dimitris E. Koumadorakis, Panagiotis Vlamos, Aristidis G. Vrahatis:
Graph Neural Network approaches for single-cell data: A recent overview. CoRR abs/2310.09561 (2023) - 2021
- [i2]Spyridon Doukakis, Panagiotis Vlamos:
Enhancement Programming Skills and Transforming Knowledge of Programming through Neuroeducation Approaches. CoRR abs/2105.09779 (2021) - 2008
- [i1]Spyros Sioutas, Dimitrios Sofotassios, Kostas Tsichlas, Dimitrios Sotiropoulos, Panayiotis M. Vlamos:
A New Approach on the Canonical k-vertex Polygon Retrieval Problem on the Plane. CoRR abs/0805.2681 (2008)
Coauthor Index
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last updated on 2024-10-23 21:23 CEST by the dblp team
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