| 2022 | EANN | Predicting Seriousness of Injury in a Traffic Accident: A New Imbalanced Dataset and Benchmark. | Paschalis Lagias, George D. Magoulas, Ylli Prifti, Alessandro Provetti |
| 2021 | EANN | Creating Ensembles of Generative Adversarial Network Discriminators for One-Class Classification. | Mihai Ermaliuc, Daniel Stamate, George D. Magoulas, Ida M. Pu |
| 2021 | EANN | Deep Learning of Brain Asymmetry Images and Transfer Learning for Early Diagnosis of Dementia. | Nitsa J. Herzog, George D. Magoulas |
| 2021 | EANN | Deep Learning Topology-Preserving EEG-Based Images for Autism Detection in Infants. | Cosmin Stamate, George D. Magoulas, Michael S. C. Thomas |
| 2017 | EANN | Boosted Residual Networks. | Alan Mosca, George D. Magoulas |
| 2017 | ESANN | Training convolutional networks with weight-wise adaptive learning rates. | Alan Mosca, George D. Magoulas |
| 2017 | FIE | Massive open online courses in software engineering education. | Aracele Garcia de Oliveira Fassbinder, Marcelo Fassbinder, Ellen Francine Barbosa, George D. Magoulas |
| 2017 | PERCOM | Deep learning Parkinson's from smartphone data. | Cosmin Stamate, George D. Magoulas, Stefan Kppers, Effrosyni Nomikou, Ioannis Daskalopoulos, Marco U. Luchini, Theano Moussouri, George Roussos |
| 2017 | WWW | Design and Evaluation of Adaptive Feedback to Foster ICT Information Processing Skills in Young Adults. | Beate Grawemeyer, Konstantinos Karoudis, George D. Magoulas, Marta Pinto, Alexandra Poulovassilis |
| 2016 | LAK | Analysing engagement in an online management programme and implications for course design. | Marc Wells, Alex Wollenschlaeger, David Lefevre, George D. Magoulas, Alexandra Poulovassilis |
| 2015 | IJCNN | Reliable estimation of a neural network's domain of validity through interval analysis based inversion. | Stavros P. Adam, Dimitris A. Karras, George D. Magoulas, Michael N. Vrahatis |
| 2012 | EANN | Direct Zero-Norm Minimization for Neural Network Pruning and Training. | Stavros P. Adam, George D. Magoulas, Michael N. Vrahatis |
| 2012 | EANN | Hybrid Computational Model for Producing English Past Tense Verbs. | Maitrei Kohli, George D. Magoulas, Michael S. C. Thomas |
| 2012 | EANN | Neural Adaptive Control in Application Service Management Environment. | Tomasz D. Sikora, George D. Magoulas |
| 2012 | ICALT | Learning Task-Related Strategies from User Data through Clustering. | Mihaela Cocea, George D. Magoulas |
| 2011 | GECCO | Identifying similarities in TMBL programs with alignment to quicken their compilation for GPUs: computational intelligence on consumer games and graphics hardware. | Tony E. Lewis, George D. Magoulas |
| 2011 | GECCO | TMBL kernels for CUDA GPUs compile faster using PTX: computational intelligence on consumer games and graphics hardware. | Tony E. Lewis, George D. Magoulas |
| 2010 | AIMSA | Sequence Detection for Adaptive Feedback Generation in an Exploratory Environment for Mathematical Generalisation. | Sergio Gutirrez Santos, Manolis Mavrikis, George D. Magoulas |
| 2010 | CEC | Tweaking a tower of blocks leads to a TMBL: Pursuing long term fitness growth in program evolution. | Tony E. Lewis, George D. Magoulas |
| 2010 | ICTAI | Autonomic Computing and Ontologies to Enable Context-aware Learning Design. | Patricia Charlton, George D. Magoulas |
| 2010 | ITS | A Case-Based Reasoning Approach to Provide Adaptive Feedback in Microworlds. | Sergio Gutirrez Santos, Mihaela Cocea, George D. Magoulas |
| 2010 | ITS | Layered Development and Evaluation for Intelligent Support in Exploratory Environments: The Case of Microworlds. | Sergio Gutirrez Santos, Manolis Mavrikis, George D. Magoulas |
| 2010 | KES | Group Formation for Collaboration in Exploratory Learning Using Group Technology Techniques. | Mihaela Cocea, George D. Magoulas |
| 2010 | KES | Adaptive Modelling of Users' Strategies in Exploratory Learning Using Case-Based Reasoning. | Mihaela Cocea, Sergio Gutirrez Santos, George D. Magoulas |
| 2009 | AIED | Enabling creative learning design: how HCI, User Modelling and Human Factors help. | Patricia Charlton, Maria Grigoriadou, Diana Laurillard, George D. Magoulas, Kyparisia A. Papanikolaou |
| 2009 | AIED | Identifying strategies in user's exploratory learning behaviour for mathematical generalisation. | Mihaela Cocea, George D. Magoulas |
| 2009 | AIED | An Eco-Friendly Intelligent Environment for Exploring Mathematical Generalisation. | Darren Pearce, Eirini Geraniou, Sergio Gutirrez Santos, Manolis Mavrikis, Mihaela Cocea, Celia Hoyles, Ken Kahn, George D. Magoulas, Richard Noss, Alexandra Poulovassilis, Niall Winters |
| 2009 | EANN | Nonmonotone Learning of Recurrent Neural Networks in Symbolic Sequence Processing Applications. | Chun-Cheng Peng, George D. Magoulas |
| 2009 | GECCO | Strategies to minimise the total run time of cyclic graph based genetic programming with GPUs. | Tony E. Lewis, George D. Magoulas |
| 2008 | GECCO | TREAD: a new genetic programming representation aimed at research of long term complexity growth. | Tony E. Lewis, George D. Magoulas |
| 2008 | ITS | Using Similarity Metrics for Matching Lifelong Learners. | Nicolas van Labeke, Alexandra Poulovassilis, George D. Magoulas |
| 2007 | GECCO | Adaptive particle swarm optimizer with nonextensive schedule. | Aristoklis D. Anastasiadis, George D. Georgoulas, George D. Magoulas, Anthony Tzes |
| 2007 | ICANN | Adaptive Self-scaling Non-monotone BFGS Training Algorithm for Recurrent Neural Networks. | Chun-Cheng Peng, George D. Magoulas |
| 2007 | ICTAI | Adaptive Nonmonotone Conjugate Gradient Training Algorithm for Recurrent Neural Networks. | Chun-Cheng Peng, George D. Magoulas |
| 2004 | ESANN | A New Learning Rates Adaptation Strategy for the Resilient Propagation Algorithm. | Aristoklis D. Anastasiadis, George D. Magoulas, Michael N. Vrahatis |
| 2004 | ICALT | A Neuro-Fuzzy Approach to Detect Student's Motivation. | Regina Stathacopoulou, Maria Samarakou, Maria Grigoriadou, George D. Magoulas |
| 2004 | IJCNN | Nonextensive entropy and regularization for adaptive learning. | Aristoklis D. Anastasiadis, George D. Magoulas |
| 2004 | ITS | Intelligent Learning Objects: An Agent Based Approach of Learning Objects. | Ricardo Azambuja Silveira, Eduardo Rodrigues Gomes, Vinicius Heidrich Pinto, George D. Magoulas |
| 2004 | ITS | Using Simulated Students for Machine Learning. | Regina Stathacopoulou, Maria Grigoriadou, Maria Samarakou, George D. Magoulas |
| 2003 | FlAIRS | Intelligent Protocol Adaptation for Enhanced Medical e-Collaboration. | George Ghinea, George D. Magoulas, Andrew O. Frank |
| 2003 | IDA | Classification of Protein Localisation Patterns via Supervised Neural Network Learning. | Aristoklis D. Anastasiadis, George D. Magoulas, Xiaohui Liu |
| 2003 | IDA | Obtaining Quality Microarray Data via Image Reconstruction. | Paul O'Neill, George D. Magoulas, Xiaohui Liu |
| 2002 | WSC | General methodology 3: global search strategies for simulation optimisation. | George D. Magoulas, Tillal Eldabi, Ray J. Paul |
| 2001 | ICIP | Evaluation of textural feature extraction schemes for neural network-based interpretation of regions in medical images. | Stavros A. Karkanis, George D. Magoulas, Dimitrios K. Iakovidis, Dimitrios E. Maroulis, Dimitris A. Karras |
| 2001 | MMSP | Perceptual, considerations in a QoS framework: a fuzzy logic formulation. | Gheorghita Ghinea, George D. Magoulas, Christos Siamitros |
| 2000 | IJCNN | Development and Convergence Analysis of Training Algorithms with Local Learning Rate Adaptation. | George D. Magoulas, Vassilis P. Plagianakos, Michael N. Vrahatis |
| 2000 | IJCNN | Computational Intelligence in Adaptive Educational Hypermedia. | Kyparisia A. Papanikolaou, George D. Magoulas, Maria Grigoriadou |
| 1999 | IJCNN | Sign-methods for training with imprecise error function and gradient values. | George D. Magoulas, Vassilis P. Plagianakos, Michael N. Vrahatis |
| 1999 | IJCNN | Nonmonotone methods for backpropagation training with adaptive learning rate. | Vassilis P. Palgianakos, Michael N. Vrahatis, George D. Magoulas |
| 1999 | IJCNN | A connectionist approach for adaptive lesson presentation in a distance learning course. | Kyparisia A. Papanikolaou, George D. Magoulas, Maria Grigoriadou |
| 1999 | IJCNN | Neural network-based fuzzy modeling of the student in intelligent tutoring systems. | Regina Stathacopoulou, George D. Magoulas, Maria Grigoriadou |
| 1999 | IJCNN | Convergence analysis of the Quickprop method. | Michael N. Vrahatis, George D. Magoulas, Vassilis P. Plagianakos |
| 1999 | ICTAI | Towards a Computationally Intelligent Lesson Adaptation for a Distance Learning Course. | George D. Magoulas, Kyparisia A. Papanikolaou, Maria Grigoriadou |
| 1995 | ICTAI | A hybrid knowledge representation model in a natural language interface to MS-DOS. | Stephanos E. Michos, George D. Magoulas, Nikos Fakotakis |