George D. Magoulas

ORCID

Publication Activity (10 Years)

Years Active: 1995-2022
Publications (10 Years): 33

Top Venues

Publications

Paschalis Lagias, George D. Magoulas, Ylli Prifti, Alessandro Provetti
Predicting Seriousness of Injury in a Traffic Accident: A New Imbalanced Dataset and Benchmark. EANN (2022)
Nitsa J. Herzog, George D. Magoulas
Convolutional Neural Networks-Based Framework for Early Identification of Dementia Using MRI of Brain Asymmetry. Int. J. Neural Syst. 32 (12) (2022)
Paschalis Lagias, George D. Magoulas, Ylli Prifti, Alessandro Provetti
Predicting Seriousness of Injury in a Traffic Accident: A New Imbalanced Dataset and Benchmark. CoRR (2022)
Nitsa J. Herzog, George D. Magoulas
Brain Asymmetry Detection and Machine Learning Classification for Diagnosis of Early Dementia. Sensors 21 (3) (2021)
Nitsa J. Herzog, George D. Magoulas
Transfer Learning and Magnetic Resonance Imaging Techniques for the Deep Neural Network-Based Diagnosis of Early Cognitive Decline and Dementia. CIBB (2021)
Cosmin Stamate, George D. Magoulas, Michael S. C. Thomas
Deep Learning Topology-Preserving EEG-Based Images for Autism Detection in Infants. EANN (2021)
Mihai Ermaliuc, Daniel Stamate, George D. Magoulas, Ida M. Pu
Creating Ensembles of Generative Adversarial Network Discriminators for One-Class Classification. EANN (2021)
Tomasz D. Sikora, George D. Magoulas
Neural adaptive admission control framework: SLA-driven action termination for real-time application service management. Enterp. Inf. Syst. 15 (2) (2021)
Nitsa J. Herzog, George D. Magoulas
Deep Learning of Brain Asymmetry Images and Transfer Learning for Early Diagnosis of Dementia. EANN (2021)
Maitrei Kohli, George D. Magoulas, Michael S. C. Thomas
Evolving Connectionist Models to Capture Population Variability across Language Development: Modeling Children's Past Tense Formation. Artif. Life 26 (2) (2020)
Dilek Çelik, George D. Magoulas
Challenging the Alignment of Learning Design Tools with HE Lecturers' Learning Design Practice. EC-TEL (2019)
Alan Mosca, George D. Magoulas
Customised ensemble methodologies for deep learning: Boosted Residual Networks and related approaches. Neural Comput. Appl. 31 (6) (2019)
Alan Mosca, George D. Magoulas
Hardening against adversarial examples with the smooth gradient method. Soft Comput. 22 (10) (2018)
Anwar Ul Haq, George D. Magoulas, Arshad Jamal, Asim Majeed, Diane Sloan
Users' perceptions of e-learning environments and services effectiveness: The emergence of the concept functionality model. J. Enterp. Inf. Manag. 31 (1) (2018)
Cosmin Stamate, George D. Magoulas, Stefan Küppers, Effrosyni Nomikou, Ioannis Daskalopoulos, Ashwani Jha, Joan Saez-Pons, John C. Rothwell, Marco U. Luchini, Theano Moussouri, Marco Iannone, George Roussos
The cloudUPDRS app: A medical device for the clinical assessment of Parkinson's Disease. Pervasive Mob. Comput. 43 (2018)
Alan Mosca, George D. Magoulas
Boosted Residual Networks. EANN (2017)
Alan Mosca, George D. Magoulas
Deep Incremental Boosting. CoRR (2017)
Beate Grawemeyer, Konstantinos Karoudis, George D. Magoulas, Marta Pinto, Alexandra Poulovassilis
Design and Evaluation of Adaptive Feedback to Foster ICT Information Processing Skills in Young Adults. WWW (Companion Volume) (2017)
Cosmin Stamate, George D. Magoulas, Stefan Küppers, Effrosyni Nomikou, Ioannis Daskalopoulos, Marco U. Luchini, Theano Moussouri, George Roussos
Deep learning Parkinson's from smartphone data. PerCom (2017)
Mihaela Cocea, George D. Magoulas
Design and Evaluation of a Case-Based System for Modelling Exploratory Learning Behavior of Math Generalization. IEEE Trans. Learn. Technol. 10 (4) (2017)
Alan Mosca, George D. Magoulas
Training convolutional networks with weight-wise adaptive learning rates. ESANN (2017)
Aracele Garcia de Oliveira Fassbinder, Marcelo Fassbinder, Ellen Francine Barbosa, George D. Magoulas
Massive open online courses in software engineering education. FIE (2017)
Dilek Çelik, George D. Magoulas
Teachers' Perspectives on Design for Learning using Computer based Information Systems: a Systematic literature Review. UKAIS (2016)
Alan Mosca, George D. Magoulas
Deep Incremental Boosting. GCAI (2016)
Kyparisia A. Papanikolaou, Katerina Makrh, George D. Magoulas, Dionisia Chinou, Athanasios Georgalas, Petros Roussos
Synthesizing Technological and Pedagogical Knowledge in Learning Design: A Case Study in Teacher Training on Technology Enhanced Learning. Int. J. Digit. Lit. Digit. Competence 7 (1) (2016)
Marc Wells, Alex Wollenschlaeger, David Lefevre, George D. Magoulas, Alexandra Poulovassilis
Analysing engagement in an online management programme and implications for course design. LAK (2016)
Dilek Çelik, George D. Magoulas
A Review, Timeline, and Categorization of Learning Design Tools. ICWL (2016)
Alan Mosca, George D. Magoulas
Learning Input Features Representations in Deep Learning. UKCI (2016)
Dilek Çelik, George D. Magoulas
Approaches to Design for Learning. ICWL (2016)
Tomasz D. Sikora, George D. Magoulas
Evolutionary approaches to signal decomposition in an application service management system. Soft Comput. 20 (8) (2016)
Konstantinos Karoudis, George D. Magoulas
Ubiquitous Learning Architecture to Enable Learning Path Design across the Cumulative Learning Continuum. Informatics 3 (4) (2016)
Cosmin Stamate, George D. Magoulas, Michael S. C. Thomas
Initialising Deep Neural Networks: An Approach Based on Linear Interval Tolerance. IntelliSys (2) (2016)
Stavros P. Adam, George D. Magoulas, Dimitrios A. Karras, Michael N. Vrahatis
Bounding the Search Space for Global Optimization of Neural Networks Learning Error: An Interval Analysis Approach. J. Mach. Learn. Res. 17 (2016)
Mihaela Cocea, George D. Magoulas
Participatory Learner Modelling Design: A methodology for iterative learner models development. Inf. Sci. 321 (2015)
Stavros P. Adam, Dimitris A. Karras, George D. Magoulas, Michael N. Vrahatis
Reliable estimation of a neural network's domain of validity through interval analysis based inversion. IJCNN (2015)
Alan Mosca, George D. Magoulas
Adapting Resilient Propagation for Deep Learning. CoRR (2015)
Cosmin Stamate, George D. Magoulas, Michael S. C. Thomas
Transfer learning approach for financial applications. CoRR (2015)
Stavros P. Adam, Dimitrios A. Karras, George D. Magoulas, Michael N. Vrahatis
Solving the linear interval tolerance problem for weight initialization of neural networks. Neural Networks 54 (2014)
Tomasz D. Sikora, George D. Magoulas
Search-guided activity signals extraction in application service management control. UKCI (2014)
Diana Laurillard, Patricia Charlton, Brock Craft, Dionisios Dimakopoulos, Dejan Ljubojevic, George D. Magoulas, E. Masterman, Roser Pujadas, Edgar A. Whitley, Kim David Whittlestone
A constructionist learning environment for teachers to model learning designs. J. Comput. Assist. Learn. 29 (1) (2013)
Tomasz D. Sikora, George D. Magoulas
Neural Adaptive Control in Application Service Management Environment. Evol. Syst. 4 (4) (2013)
Maitrei Kohli, George D. Magoulas, Michael S. C. Thomas
Transfer learning across heterogeneous tasks using behavioural genetic principles. UKCI (2013)
Stavros P. Adam, George D. Magoulas, Michael N. Vrahatis
Direct Zero-Norm Minimization for Neural Network Pruning and Training. EANN (2012)
Richard Noss, Alexandra Poulovassilis, Eirini Geraniou, Sergio Gutiérrez Santos, Celia Hoyles, Ken Kahn, George D. Magoulas, Manolis Mavrikis
The design of a system to support exploratory learning of algebraic generalisation. Comput. Educ. 59 (1) (2012)
Mihaela Cocea, George D. Magoulas
User behaviour-driven group formation through case-based reasoning and clustering. Expert Syst. Appl. 39 (10) (2012)
Maitrei Kohli, George D. Magoulas, Michael S. C. Thomas
Hybrid Computational Model for Producing English Past Tense Verbs. EANN (2012)
Mihaela Cocea, George D. Magoulas
Learning Task-Related Strategies from User Data through Clustering. ICALT (2012)
Tomasz D. Sikora, George D. Magoulas
Neural Adaptive Control in Application Service Management Environment. EANN (2012)
Chun-Cheng Peng, George D. Magoulas
Nonmonotone BFGS-trained recurrent neural networks for temporal sequence processing. Appl. Math. Comput. 217 (12) (2011)
Tony E. Lewis, George D. Magoulas
Identifying similarities in TMBL programs with alignment to quicken their compilation for GPUs: computational intelligence on consumer games and graphics hardware. GECCO (Companion) (2011)
Mihaela Cocea, George D. Magoulas
Context-Dependent Feedback Prioritisation in Exploratory Learning Revisited. UMAP (2011)
Chun-Cheng Peng, George D. Magoulas
Nonmonotone Levenberg-Marquardt training of recurrent neural architectures for processing symbolic sequences. Neural Comput. Appl. 20 (6) (2011)
Tony E. Lewis, George D. Magoulas
TMBL kernels for CUDA GPUs compile faster using PTX: computational intelligence on consumer games and graphics hardware. GECCO (Companion) (2011)
Sergio Gutiérrez Santos, Mihaela Cocea, George D. Magoulas
A Case-Based Reasoning Approach to Provide Adaptive Feedback in Microworlds. Intelligent Tutoring Systems (2) (2010)
Sergio Gutiérrez Santos, Manolis Mavrikis, George D. Magoulas
Sequence Detection for Adaptive Feedback Generation in an Exploratory Environment for Mathematical Generalisation. AIMSA (2010)
Sergio Gutiérrez Santos, Manolis Mavrikis, George D. Magoulas
Layered Development and Evaluation for Intelligent Support in Exploratory Environments: The Case of Microworlds. Intelligent Tutoring Systems (1) (2010)
Mihaela Cocea, Sergio Gutiérrez Santos, George D. Magoulas
Adaptive Modelling of Users' Strategies in Exploratory Learning Using Case-Based Reasoning. KES (2) (2010)
George Roussos, Mirco Musolesi, George D. Magoulas
Human behavior in ubiquitous environments: Experience and interaction design. Pervasive Mob. Comput. 6 (5) (2010)
Mihaela Cocea, George D. Magoulas
Group Formation for Collaboration in Exploratory Learning Using Group Technology Techniques. KES (2) (2010)
Sara de Freitas, Genaro Rebolledo-Mendez, Fotis Liarokapis, George D. Magoulas, Alexandra Poulovassilis
Learning as immersive experiences: Using the four-dimensional framework for designing and evaluating immersive learning experiences in a virtual world. Br. J. Educ. Technol. 41 (1) (2010)
George Roussos, Mirco Musolesi, George D. Magoulas
Introduction to the special issue on "Human Behavior in Ubiquitous Environments: Modeling of Human Mobility Patterns". Pervasive Mob. Comput. 6 (4) (2010)
Patricia Charlton, George D. Magoulas
Self-configurable framework for enabling context-aware learning design. IEEE Conf. of Intelligent Systems (2010)
Tony E. Lewis, George D. Magoulas
Tweaking a tower of blocks leads to a TMBL: Pursuing long term fitness growth in program evolution. IEEE Congress on Evolutionary Computation (2010)
Patricia Charlton, George D. Magoulas
Autonomic Computing and Ontologies to Enable Context-aware Learning Design. ICTAI (2) (2010)
Mihaela Cocea, George D. Magoulas
Identifying user strategies in exploratory learning with evolving task modelling. IEEE Conf. of Intelligent Systems (2010)
Chun-Cheng Peng, George D. Magoulas
Nonmonotone Learning of Recurrent Neural Networks in Symbolic Sequence Processing Applications. EANN (2009)
Tony E. Lewis, George D. Magoulas
Strategies to minimise the total run time of cyclic graph based genetic programming with GPUs. GECCO (2009)
Mihaela Cocea, George D. Magoulas
Identifying strategies in user's exploratory learning behaviour for mathematical generalisation. AIED (2009)
Dionisios Dimakopoulos, George D. Magoulas
Interface design and evaluation of a personal information space for mobile learners. Int. J. Mob. Learn. Organisation 3 (4) (2009)
Sara de Freitas, Genaro Rebolledo-Mendez, Fotis Liarokapis, George D. Magoulas, Alexandra Poulovassilis
Developing an Evaluation Methodology for Immersive Learning Experiences in a Virtual World. VS-GAMES (2009)
Patricia Charlton, Maria Grigoriadou, Diana Laurillard, George D. Magoulas, Kyparisia A. Papanikolaou
Enabling creative learning design: how HCI, User Modelling and Human Factors help. AIED (2009)
Darren Pearce, Eirini Geraniou, Sergio Gutiérrez Santos, Manolis Mavrikis, Mihaela Cocea, Celia Hoyles, Ken Kahn, George D. Magoulas, Richard Noss, Alexandra Poulovassilis, Niall Winters
An Eco-Friendly Intelligent Environment for Exploring Mathematical Generalisation. AIED (2009)
Mihaela Cocea, George D. Magoulas
Hybrid model for learner modelling and feedback prioritisation in exploratory learning. Int. J. Hybrid Intell. Syst. 6 (4) (2009)
Mihaela Cocea, George D. Magoulas
Context-Dependent Personalised Feedback Prioritisation in Exploratory Learning for Mathematical Generalisation. UMAP (2009)
Nicolas van Labeke, George D. Magoulas, Alexandra Poulovassilis
Searching for "People Like Me" in a Lifelong Learning System. EC-TEL (2009)
Tony E. Lewis, George D. Magoulas
TREAD: a new genetic programming representation aimed at research of long term complexity growth. GECCO (2008)
Chun-Cheng Peng, George D. Magoulas
Advanced Adaptive Nonmonotone Conjugate Gradient Training Algorithm for Recurrent Neural Networks. Int. J. Artif. Intell. Tools 17 (5) (2008)
Nicolas van Labeke, Alexandra Poulovassilis, George D. Magoulas
Using Similarity Metrics for Matching Lifelong Learners. Intelligent Tutoring Systems (2008)
George D. Magoulas, George Ghinea
Intelligence-based adaptation for ubiquitous multimedia communications. J. Netw. Comput. Appl. 30 (3) (2007)
George D. Magoulas, Georgios Dounias
Computational intelligence in medicine and biology. Appl. Intell. 27 (3) (2007)
Aristoklis D. Anastasiadis, George D. Georgoulas, George D. Magoulas, Anthony Tzes
Adaptive particle swarm optimizer with nonextensive schedule. GECCO (2007)
Chun-Cheng Peng, George D. Magoulas
Adaptive Nonmonotone Conjugate Gradient Training Algorithm for Recurrent Neural Networks. ICTAI (2) (2007)
George D. Magoulas, Giorgos Lepouras, Costas Vassilakis
Virtual reality in the e-Society. Virtual Real. 11 (2-3) (2007)
Chun-Cheng Peng, George D. Magoulas
Adaptive Self-scaling Non-monotone BFGS Training Algorithm for Recurrent Neural Networks. ICANN (1) (2007)
Aristoklis D. Anastasiadis, George D. Magoulas
Analysing the localisation sites of proteins through neural networks ensembles. Neural Comput. Appl. 15 (3-4) (2006)
Enrique Frías-Martínez, George D. Magoulas, Sherry Y. Chen, Robert D. Macredie
Automated user modeling for personalized digital libraries. Int. J. Inf. Manag. 26 (3) (2006)
George D. Magoulas, Georgios Dounias, Derek A. Linkens
Preface. Int. J. Artif. Intell. Tools 15 (3) (2006)
Vassilis P. Plagianakos, George D. Magoulas, Michael N. Vrahatis
Distributed computing methodology for training neural networks in an image-guided diagnostic application. Comput. Methods Programs Biomed. 81 (3) (2006)
George D. Magoulas, Sherry Y. Chen
Human factors in personalised systems and services. Interact. Comput. 18 (3) (2006)
Vassilis P. Plagianakos, George D. Magoulas, Michael N. Vrahatis
Evolutionary training of hardware realizable multilayer perceptrons. Neural Comput. Appl. 15 (1) (2006)
George D. Magoulas, Aristoklis D. Anastasiadis
Approaches to Adaptive Stochastic Search Based on the Nonextensive Q-Distribution. Int. J. Bifurc. Chaos 16 (7) (2006)
George D. Magoulas, Georgios Dounias
Introduction to the special issue on intelligent technologies in medicine and bioinformatics. Comput. Biol. Medicine 36 (10) (2006)
George D. Magoulas, Michael N. Vrahatis
Adaptive Algorithms for Neural Network Supervised Learning: a Deterministic Optimization Approach. Int. J. Bifurc. Chaos 16 (7) (2006)
Sara de Freitas, Ian Harrison, George D. Magoulas, Adrian Mee, Fitri Mohamad, Martin Oliver, George Papamarkos, Alexandra Poulovassilis
The development of a system for supporting the lifelong learner. Br. J. Educ. Technol. 37 (6) (2006)
George Ghinea, George D. Magoulas, Christos Siamitros
Multicriteria decision making for enhanced perception-based multimedia communication. IEEE Trans. Syst. Man Cybern. Part A 35 (6) (2005)
Enrique Frías-Martínez, George D. Magoulas, Sherry Y. Chen, Robert D. Macredie
Modeling human behavior in user-adaptive systems: Recent advances using soft computing techniques. Expert Syst. Appl. 29 (2) (2005)
Aristoklis D. Anastasiadis, George D. Magoulas, Michael N. Vrahatis
New globally convergent training scheme based on the resilient propagation algorithm. Neurocomputing 64 (2005)
Gheorghita Ghinea, Johnson P. Thomas, George D. Magoulas, Saeed Heravi
Adaptation as a premise for perceptual-based multimedia communications. Int. J. Inf. Technol. Manag. 4 (4) (2005)
Regina Stathacopoulou, George D. Magoulas, Maria Grigoriadou, Maria Samarakou
Neuro-fuzzy knowledge processing in intelligent learning environments for improved student diagnosis. Inf. Sci. 170 (2-4) (2005)
Aristoklis D. Anastasiadis, George D. Magoulas
Evolving Stochastic Learning Algorithm Based on Tsallis Entropic Index CoRR (2005)

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Publication Activity (10 Years)

Top Topics

Top Venues

George D. Magoulas