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D-Index & Metrics

Computer Science

D-Index
38
Citations
6869
World Ranking
10157
National Ranking
636

Overview

George D. Magoulas is affiliated with Birkbeck, University of London in the United Kingdom. Their research spans multiple fields of study, primarily Neuroscience, Engineering, and Medicine, with a focus on a variety of subfields including Cognitive Neuroscience, Artificial Intelligence, Psychiatry and Mental Health, Neurology, and Safety, Risk, Reliability and Quality.

Their work covers several main topics, which include Functional Brain Connectivity Studies, Dementia and Cognitive Impairment Research, Brain Tumor Detection and Classification, Imbalanced Data Classification Techniques, Traffic and Road Safety, Traffic Prediction and Management Techniques, and Morphological Variations and Asymmetry.

Recent scholarly publications by George D. Magoulas include the following:

  • Brain Asymmetry Detection and Machine Learning Classification for Diagnosis of Early Dementia, 2021, Sensors
  • Convolutional Neural Networks-Based Framework for Early Identification of Dementia Using MRI of Brain Asymmetry, 2022, International Journal of Neural Systems
  • Evolving Connectionist Models to Capture Population Variability across Language Development: Modeling Children's Past Tense Formation, 2020, Artificial Life
  • Predicting Seriousness of Injury in a Traffic Accident: A New Imbalanced Dataset and Benchmark, 2022, BIROn (Birkbeck, University of London)

Frequent coauthors collaborating with George D. Magoulas include:

  • Nitsa J. Herzog
  • Michael S. C. Thomas
  • Paschalis Lagias
  • Alessandro Provetti
  • Mihai Ermaliuc

The researcher has published articles in several venues, highlighted by these frequent publication sources:

  • Sensors
  • International Journal of Neural Systems
  • Artificial Life
  • BIROn (Birkbeck, University of London)

Best Publications

  • Personalizing the Interaction in a Web-based Educational Hypermedia System: the case of INSPIRE

    Kyparisia A. Papanikolaou;Maria Grigoriadou;Harry Kornilakis;George D. Magoulas

  • Learning as immersive experiences: Using the four-dimensional framework for designing and evaluating immersive learning experiences in a virtual world

    Sara de Freitas;Genaro Rebolledo-Mendez;Fotis Liarokapis;George D. Magoulas

  • INSPIRE: An INtelligent system for personalized instruction in a remote environment

    Kyparisia A. Papanikolaou;Maria Grigoriadou;Harry Kornilakis;George D. Magoulas

  • Effective backpropagation training with variable stepsize

    George D. Magoulas;Michael N. Vrahatis;George S. Androulakis

  • A constructionist learning environment for teachers to model learning designs

    D. Laurillard;P. Charlton;B. Craft;D. Dimakopoulos

  • Towards new forms of knowledge communication: the adaptive dimension of a web-based learning environment

    Kyparisia A. Papanikolaou;Maria Grigoriadou;George D. Magoulas;Harry Kornilakis

  • New globally convergent training scheme based on the resilient propagation algorithm

    Aristoklis D. Anastasiadis;George D. Magoulas;Michael N. Vrahatis

  • Improving the convergence of the backpropagation algorithm using learning rate adaptation methods

    G. D. Magoulas;M. N. Vrahatis;G. S. Androulakis

  • Adaptive web-based learning: accommodating individual differences through system's adaptation

    George D. Magoulas;Yparisia Papanikolaou;Maria Grigoriadou

  • A class of gradient unconstrained minimization algorithms with adaptive stepsize

    M. N. Vrahatis;G. S. Androulakis;J. N. Lambrinos;G. D. Magoulas

  • Objective function “stretching” to alleviate convergence to local minima

    K.E. Parsopoulos;V.P. Plagianakos;G.D. Magoulas;M.N. Vrahatis

  • Modeling human behavior in user-adaptive systems: Recent advances using soft computing techniques

    E. Frias-Martinez;G. Magoulas;S. Chen;R. Macredie

  • Machine Learning in Medical Applications

    George D. Magoulas;Andriana Prentza

  • Improving the Particle Swarm Optimizer by Function “Stretching”

    K. E. Parsopoulos;V. P. Plagianakos;G. D. Magoulas;M. N. Vrahatis

  • Neural network-based colonoscopic diagnosis using on-line learning and differential evolution

    George D. Magoulas;Vassilis P. Plagianakos;Michael N. Vrahatis

  • Automated user modeling for personalized digital libraries

    E. Frias-Martinez;G. Magoulas;S. Chen;R. Macredie

  • Neuro-fuzzy knowledge processing in intelligent learning environments for improved student diagnosis

    Regina Stathacopoulou;George D. Magoulas;Maria Grigoriadou;Maria Samarakou

  • Adaptable and Adaptive Hypermedia Systems

    Sherry Y. Chen;George D. Magoulas

  • Neural network-based fuzzy modeling of the student in intelligent tutoring systems

    R. Stathacopoulou;G.D. Magoulas;M. Grigoriadou

  • A flexible interface design for Web directories to accommodate different cognitive styles

    Sherry Y. Chen;George D. Magoulas;Dionisios Dimakopoulos

  • Model-based design and evaluation of interactive applications

    George D. Magoulas

Frequent Co-Authors

Michael N. Vrahatis
Michael N. Vrahatis University of Patras
Alexandra Poulovassilis
Alexandra Poulovassilis Birkbeck, University of London
Sherry Y. Chen
Sherry Y. Chen National Central University
Martin Oliver
Martin Oliver University College London
Michael S.C. Thomas
Michael S.C. Thomas Birkbeck, University of London
Gheorghita Ghinea
Gheorghita Ghinea Brunel University London
Xiaohui Liu
Xiaohui Liu Brunel University London
Robert D. Macredie
Robert D. Macredie Brunel University London
George Roussos
George Roussos Birkbeck, University of London
Ray J. Paul
Ray J. Paul Brunel University London

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