Vassilis Plagianakos

@uth.gr

Department of Computer Science and Biomedical Informatics
University of Thessaly

Vassilis Plagianakos


            Download Compact PDF  
https://researchid.co/plagianakos
7220

Scholar Citations

36

Scholar h-index

103

Scholar i10-index

RECENT SCHOLAR PUBLICATIONS

  • Binary black hole parameter estimation with hybrid CNN-Transformer Neural Networks
    PN Sakellariou, SV Georgakopoulos, S Tasoulis, VP Plagianakos
    Astronomy and Computing, 101027 , 2025
    2025
  • Reducing Artifact Preprocessing in Heart Rate Variability-Based Personalized Psychosis Prediction Using Adaptive Long Short-Term Memory Models.
    PV Tsakmaki, S Tasoulis, SV Georgakopoulos, VP Plagianakos
    International Journal of Neural Systems 35 (12), 2550064-2550064 , 2025
    2025
  • Correction: Large language models for efficient topic modeling
    PC Theocharopoulos, P Anagnostou, SV Georgakopoulos, SK Tasoulis, ...
    Neural Computing and Applications, 1-2 , 2025
    2025
  • Efficient Hybrid Hierarchical Clustering with Incremental Silhouette Score for Large, Noisy Datasets.
    P Barmpas, P Anagnostou, S Tasoulis, V Plagianakos, S Georgakopoulos
    International Journal of Neural Systems 35 (12), 2550076-2550076 , 2025
    2025
  • Boosting neural network performance for high dimensional data through random projections
    P Anangnostou, SK Tasoulis, AG Vrahatis, SV Georgakopoulos, ...
    Pattern Recognition Letters , 2025
    2025
    Citations: 1
  • Large language models for efficient topic modeling
    PC Theocharopoulos, P Anagnostou, SV Georgakopoulos, SK Tasoulis, ...
    Neural Computing and Applications 37 (29), 24421-24439 , 2025
    2025
    Citations: 2
  • Short-term impacts of weather conditions on biomarkers among urban adults in Greece
    K Tsiaktani, P Anagnostou, SK Tasoulis, SV Georgakopoulos, JA Gittings, ...
    2025 IEEE Conference on Computational Intelligence in Bioinformatics and … , 2025
    2025
  • Enhancing Machine Learning Models for Medical Coding: Diagnostic Codes Mapping and Synthetic Clinical Notes
    A Bilioni, P Anagnostou, SK Tasoulis, SV Georgakopoulos, ...
    2025 IEEE Conference on Computational Intelligence in Bioinformatics and … , 2025
    2025
  • Lstm-based classification of psychiatric disorders using ultra-short raw ecg signals
    PV Tsakmaki, S Tasoulis, SV Georgakopoulos, VP Plagianakos
    2025 IEEE Symposium on Computational Intelligence in Health and Medicine … , 2025
    2025
  • Transforming Medical Practice: Harnessing the Power of Big Data and Machine Learning for Predictive Precision Medicine
    PC Theocharopoulos, S Bersimis, SV Georgakopoulos, VP Plagianakos, ...
    2025 IEEE Symposium on Computational Intelligence in Health and Medicine … , 2025
    2025
  • The role of ChatGPT in junior high school physics education: Insights from teachers and students and guidelines for optimal use
    N Bessas, E Tzanaki, D Vavougios, VP Plagianakos
    Social Sciences & Humanities Open 11, 101610 , 2025
    2025
    Citations: 7
  • Comparative analysis of chatgpt and gemini; implications for junior high school physics education: opportunities and ethical challenges
    N Bessas, E Tzanaki, D Vavougios, VP Plagianakos
    International Journal of Advanced Multidisciplinary Research and Studies 5 … , 2025
    2025
    Citations: 11
  • Diagnosing students’ misconception in Hydrostatic Pressure through a 4-tier test
    N Bessas, E Tzanaki, D Vavougios, VP Plagianakos
    Heliyon 10 (23) , 2024
    2024
    Citations: 11
  • Inquiring Students' Alternative Conceptions about Floating and Sinking Objects.
    N Bessas, E Tzanaki, D Vavougios, VP Plagianakos
    International Journal of Engineering Pedagogy 14 (7) , 2024
    2024
    Citations: 1
  • A critical view on blockchain rollups
    A Katsika, L Negka, G Spathoulas, V Plagianakos
    Security and Privacy in Smart Environments, 204-239 , 2024
    2024
    Citations: 6
  • Developing predictive precision medicine models by exploiting real-world data using machine learning methods
    PC Theocharopoulos, S Bersimis, SV Georgakopoulos, A Karaminas, ...
    Journal of Applied Statistics 51 (14), 2980-3003 , 2024
    2024
    Citations: 4
  • Creating a Postcard Puzzle for Educational Purposes in Junior High School Science
    N Bessas, E Tzanaki, D Vavougios, VP Plagianakos
    International Conference on Interactive Collaborative Learning, 3-13 , 2024
    2024
    Citations: 1
  • Leveraging Large Language Models for Information Extraction: Identifying microRNA-Gene Interactions in Biomedical Literature
    S Stavropoulos, E Zacharopoulou, S Georgakopoulos, S Tasoulis, ...
    2024 IEEE Conference on Computational Intelligence in Bioinformatics and … , 2024
    2024
    Citations: 1
  • Hyperdimensional computing approaches in single cell RNA sequencing classification
    P Barmpas, SK Tasoulis, SV Georgakopoulos, VP Plagianakos
    2024 IEEE Congress on Evolutionary Computation (CEC), 1-8 , 2024
    2024
    Citations: 1
  • Harnessing lstms for enhanced prediction of psychotic episodes in schizophrenia spectrum
    PV Tsakmaki, S Tasoulis, SV Georgakopoulos, VP Plagianakos
    2024 IEEE Congress on Evolutionary Computation (CEC), 1-8 , 2024
    2024
    Citations: 1

MOST CITED SCHOLAR PUBLICATIONS

  • Lecture notes in computer science
    S File
    2016
    Citations: 1589
  • Enhancing differential evolution utilizing proximity-based mutation operators
    MG Epitropakis, DK Tasoulis, NG Pavlidis, VP Plagianakos, MN Vrahatis
    IEEE Transactions on Evolutionary Computation 15 (1), 99-119 , 2011
    2011
    Citations: 383
  • Convolutional neural networks for toxic comment classification
    SV Georgakopoulos, SK Tasoulis, AG Vrahatis, VP Plagianakos
    Proceedings of the 10th hellenic conference on artificial intelligence, 1-6 , 2018
    2018
    Citations: 355
  • Parallel differential evolution.
    DK Tasoulis, NG Pavlidis, VP Plagianakos, MN Vrahatis
    IEEE Congress on Evolutionary Computation, 2023-2029 , 2004
    2004
    Citations: 311
  • Detecting and locating gastrointestinal anomalies using deep learning and iterative cluster unification
    DK Iakovidis, SV Georgakopoulos, M Vasilakakis, A Koulaouzidis, ...
    IEEE transactions on medical imaging 37 (10), 2196-2210 , 2018
    2018
    Citations: 233
  • Stretching technique for obtaining global minimizers through particle swarm optimization
    KE Parsopoulos, VP Plagianakos, GD Magoulas, MN Vrahatis
    Proceedings of the particle swarm optimization Workshop 29 (1), 1-8 , 2001
    2001
    Citations: 220
  • TarBase-v9. 0 extends experimentally supported miRNA–gene interactions to cell-types and virally encoded miRNAs
    G Skoufos, P Kakoulidis, S Tastsoglou, E Zacharopoulou, V Kotsira, ...
    Nucleic acids research 52 (D1), D304-D310 , 2024
    2024
    Citations: 181
  • Evolving cognitive and social experience in particle swarm optimization through differential evolution: a hybrid approach
    MG Epitropakis, VP Plagianakos, MN Vrahatis
    Information Sciences 216, 50-92 , 2012
    2012
    Citations: 167
  • Spiking neural network training using evolutionary algorithms
    NG Pavlidis, OK Tasoulis, VP Plagianakos, G Nikiforidis, MN Vrahatis
    Proceedings. 2005 IEEE International Joint Conference on Neural Networks … , 2005
    2005
    Citations: 166
  • Objective function" stretching" to alleviate convergence to local minima
    KE Parsopoulos, VP Plagianakos, GD Magoulas, MN Vrahatis
    Nonlinear Analysis-Theory Methods and Applications 47 (5), 3419-3424 , 2001
    2001
    Citations: 158
  • Vector evaluated differential evolution for multiobjective optimization
    KE Parsopoulos, DK Tasoulis, NG Pavlidis, VP Plagianakos, MN Vrahatis
    Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No … , 2004
    2004
    Citations: 143
  • A review of major application areas of differential evolution
    VP Plagianakos, DK Tasoulis, MN Vrahatis
    Advances in differential evolution, 197-238 , 2008
    2008
    Citations: 139
  • Neural network-based colonoscopic diagnosis using on-line learning and differential evolution
    GD Magoulas, VP Plagianakos, MN Vrahatis
    Applied Soft Computing 4 (4), 369-379 , 2004
    2004
    Citations: 137
  • Improving the particle swarm optimizer by function “stretching”
    KE Parsopoulos, VP Plagianakos, GD Magoulas, MN Vrahatis
    Advances in convex analysis and global optimization: Honoring the memory of … , 2001
    2001
    Citations: 136
  • Parallel evolutionary training algorithms for “hardware-friendly” neural networks
    VP Plagianakos, MN Vrahatis
    Natural Computing 1 (2), 307-322 , 2002
    2002
    Citations: 98
  • Finding multiple global optima exploiting differential evolution's niching capability
    MG Epitropakis, VP Plagianakos, MN Vrahatis
    2011 IEEE symposium on differential evolution (SDE), 1-8 , 2011
    2011
    Citations: 92
  • Financial forecasting through unsupervised clustering and neural networks
    NG Pavlidis, VP Plagianakos, DK Tasoulis, MN Vrahatis
    Operational Research 6 (2), 103-127 , 2006
    2006
    Citations: 78
  • Learning rate adaptation in stochastic gradient descent
    VP Plagianakos, GD Magoulas, MN Vrahatis
    Advances in Convex Analysis and Global Optimization: Honoring the Memory of … , 2001
    2001
    Citations: 78
  • From linear to nonlinear iterative methods
    MN Vrahatis, GD Magoulas, VP Plagianakos
    Applied Numerical Mathematics 45 (1), 59-77 , 2003
    2003
    Citations: 72
  • Training neural networks with threshold activation functions and constrained integer weights
    VP Plagianakos, MN Vrahatis
    Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural … , 2000
    2000
    Citations: 70