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Panayiotis M. Vlamos
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- affiliation: Ionian University, Corfu, Greece
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2020 – today
- 2024
- [j23]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) - [j22]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) - [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
- [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) - [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 - [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) - 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) - [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
- [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) - [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 - [i2]Spyridon Doukakis
, Panagiotis Vlamos:
Enhancement Programming Skills and Transforming Knowledge of Programming through Neuroeducation Approaches. CoRR abs/2105.09779 (2021) - 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 - [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]
2010 – 2019
- 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) - [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 - 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) - [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
- [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) - [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
- [j4]Athanasios Alexiou
, Panayiotis M. Vlamos
:
A Cultural Algorithm for the Representation of Mitochondrial Population. Adv. Artif. Intell. 2012: 457351:1-457351:7 (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
2000 – 2009
- 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) - [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
- [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) - [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 - [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) - 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
Coauthor Index
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last updated on 2024-08-05 20:19 CEST by the dblp team
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