George D. Magoulas

156 papers A* 1A 10B 23C 11Misc 3Journal 67Unranked 38

Year	Rank	Type	Title / Venue / Authors
2022	J	`jnl`	Convolutional Neural Networks-Based Framework for Early Identification of Dementia Using MRI of Brain Asymmetry. Int. J. Neural Syst. Nitsa J. Herzog, George D. Magoulas
2022	C	`conf`	Predicting Seriousness of Injury in a Traffic Accident: A New Imbalanced Dataset and Benchmark. EANN Paschalis Lagias, George D. Magoulas, Ylli Prifti, Alessandro Provetti
2022	J	`jnl`	Predicting Seriousness of Injury in a Traffic Accident: A New Imbalanced Dataset and Benchmark. CoRR Paschalis Lagias, George D. Magoulas, Ylli Prifti, Alessandro Provetti
2021	J	`jnl`	Brain Asymmetry Detection and Machine Learning Classification for Diagnosis of Early Dementia. Sensors Nitsa J. Herzog, George D. Magoulas
2021	C	`conf`	Creating Ensembles of Generative Adversarial Network Discriminators for One-Class Classification. EANN Mihai Ermaliuc, Daniel Stamate, George D. Magoulas, Ida M. Pu
2021	C	`conf`	Deep Learning Topology-Preserving EEG-Based Images for Autism Detection in Infants. EANN Cosmin Stamate, George D. Magoulas, Michael S. C. Thomas
2021	C	`conf`	Deep Learning of Brain Asymmetry Images and Transfer Learning for Early Diagnosis of Dementia. EANN Nitsa J. Herzog, George D. Magoulas
2021	J	`jnl`	Neural adaptive admission control framework: SLA-driven action termination for real-time application service management. Enterp. Inf. Syst. Tomasz D. Sikora, George D. Magoulas
2021	—	`conf`	Transfer Learning and Magnetic Resonance Imaging Techniques for the Deep Neural Network-Based Diagnosis of Early Cognitive Decline and Dementia. CIBB Nitsa J. Herzog, George D. Magoulas
2020	J	`jnl`	Evolving Connectionist Models to Capture Population Variability across Language Development: Modeling Children's Past Tense Formation. Artif. Life Maitrei Kohli, George D. Magoulas, Michael S. C. Thomas
2019	B	`conf`	Challenging the Alignment of Learning Design Tools with HE Lecturers' Learning Design Practice. EC-TEL Dilek Çelik, George D. Magoulas
2019	J	`jnl`	Customised ensemble methodologies for deep learning: Boosted Residual Networks and related approaches. Neural Comput. Appl. Alan Mosca, George D. Magoulas
2018	J	`jnl`	Hardening against adversarial examples with the smooth gradient method. Soft Comput. Alan Mosca, George D. Magoulas
2018	J	`jnl`	The cloudUPDRS app: A medical device for the clinical assessment of Parkinson's Disease. Pervasive Mob. Comput. 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
2018	J	`jnl`	Users' perceptions of e-learning environments and services effectiveness: The emergence of the concept functionality model. J. Enterp. Inf. Manag. Anwar Ul Haq, George D. Magoulas, Arshad Jamal, Asim Majeed, Diane Sloan
2017	C	`conf`	Boosted Residual Networks. EANN Alan Mosca, George D. Magoulas
2017	J	`jnl`	Deep Incremental Boosting. CoRR Alan Mosca, George D. Magoulas
2017	A*	`conf`	Deep learning Parkinson's from smartphone data. PerCom Cosmin Stamate, George D. Magoulas, Stefan Küppers, Effrosyni Nomikou, Ioannis Daskalopoulos, Marco U. Luchini, Theano Moussouri, George Roussos
2017	—	`conf`	Design and Evaluation of Adaptive Feedback to Foster ICT Information Processing Skills in Young Adults. WWW (Companion Volume) Beate Grawemeyer, Konstantinos Karoudis, George D. Magoulas, Marta Pinto, Alexandra Poulovassilis
2017	J	`jnl`	Design and Evaluation of a Case-Based System for Modelling Exploratory Learning Behavior of Math Generalization. IEEE Trans. Learn. Technol. Mihaela Cocea, George D. Magoulas
2017	C	`conf`	Massive open online courses in software engineering education. FIE Aracele Garcia de Oliveira Fassbinder, Marcelo Fassbinder, Ellen Francine Barbosa, George D. Magoulas
2017	B	`conf`	Training convolutional networks with weight-wise adaptive learning rates. ESANN Alan Mosca, George D. Magoulas
2016	—	`conf`	A Review, Timeline, and Categorization of Learning Design Tools. ICWL Dilek Çelik, George D. Magoulas
2016	A	`conf`	Analysing engagement in an online management programme and implications for course design. LAK Marc Wells, Alex Wollenschlaeger, David Lefevre, George D. Magoulas, Alexandra Poulovassilis
2016	—	`conf`	Approaches to Design for Learning. ICWL Dilek Çelik, George D. Magoulas
2016	J	`jnl`	Bounding the Search Space for Global Optimization of Neural Networks Learning Error: An Interval Analysis Approach. J. Mach. Learn. Res. Stavros P. Adam, George D. Magoulas, Dimitrios A. Karras, Michael N. Vrahatis
2016	—	`conf`	Deep Incremental Boosting. GCAI Alan Mosca, George D. Magoulas
2016	J	`jnl`	Evolutionary approaches to signal decomposition in an application service management system. Soft Comput. Tomasz D. Sikora, George D. Magoulas
2016	—	`conf`	Initialising Deep Neural Networks: An Approach Based on Linear Interval Tolerance. IntelliSys (2) Cosmin Stamate, George D. Magoulas, Michael S. C. Thomas
2016	—	`conf`	Learning Input Features Representations in Deep Learning. UKCI Alan Mosca, George D. Magoulas
2016	J	`jnl`	Synthesizing Technological and Pedagogical Knowledge in Learning Design: A Case Study in Teacher Training on Technology Enhanced Learning. Int. J. Digit. Lit. Digit. Competence Kyparisia A. Papanikolaou, Katerina Makrh, George D. Magoulas, Dionisia Chinou, Athanasios Georgalas, Petros Roussos
2016	—	`conf`	Teachers' Perspectives on Design for Learning using Computer based Information Systems: a Systematic literature Review. UKAIS Dilek Çelik, George D. Magoulas
2016	J	`jnl`	Ubiquitous Learning Architecture to Enable Learning Path Design across the Cumulative Learning Continuum. Informatics Konstantinos Karoudis, George D. Magoulas
2015	J	`jnl`	Adapting Resilient Propagation for Deep Learning. CoRR Alan Mosca, George D. Magoulas
2015	J	`jnl`	Participatory Learner Modelling Design: A methodology for iterative learner models development. Inf. Sci. Mihaela Cocea, George D. Magoulas
2015	B	`conf`	Reliable estimation of a neural network's domain of validity through interval analysis based inversion. IJCNN Stavros P. Adam, Dimitris A. Karras, George D. Magoulas, Michael N. Vrahatis
2015	J	`jnl`	Transfer learning approach for financial applications. CoRR Cosmin Stamate, George D. Magoulas, Michael S. C. Thomas
2014	—	`conf`	Search-guided activity signals extraction in application service management control. UKCI Tomasz D. Sikora, George D. Magoulas
2014	J	`jnl`	Solving the linear interval tolerance problem for weight initialization of neural networks. Neural Networks Stavros P. Adam, Dimitrios A. Karras, George D. Magoulas, Michael N. Vrahatis
2013	J	`jnl`	A constructionist learning environment for teachers to model learning designs. J. Comput. Assist. Learn. Diana Laurillard, Patricia Charlton, Brock R. Craft, Dionisios Dimakopoulos, Dejan Ljubojevic, George D. Magoulas, E. Masterman, Roser Pujadas, Edgar A. Whitley, Kim David Whittlestone
2013	J	`jnl`	Neural Adaptive Control in Application Service Management Environment. Evol. Syst. Tomasz D. Sikora, George D. Magoulas
2013	—	`conf`	Transfer learning across heterogeneous tasks using behavioural genetic principles. UKCI Maitrei Kohli, George D. Magoulas, Michael S. C. Thomas
2012	C	`conf`	Direct Zero-Norm Minimization for Neural Network Pruning and Training. EANN Stavros P. Adam, George D. Magoulas, Michael N. Vrahatis
2012	C	`conf`	Hybrid Computational Model for Producing English Past Tense Verbs. EANN Maitrei Kohli, George D. Magoulas, Michael S. C. Thomas
2012	B	`conf`	Learning Task-Related Strategies from User Data through Clustering. ICALT Mihaela Cocea, George D. Magoulas
2012	C	`conf`	Neural Adaptive Control in Application Service Management Environment. EANN Tomasz D. Sikora, George D. Magoulas
2012	J	`jnl`	The design of a system to support exploratory learning of algebraic generalisation. Comput. Educ. Richard Noss, Alexandra Poulovassilis, Eirini Geraniou, Sergio Gutiérrez Santos, Celia Hoyles, Ken Kahn, George D. Magoulas, Manolis Mavrikis
2012	J	`jnl`	User behaviour-driven group formation through case-based reasoning and clustering. Expert Syst. Appl. Mihaela Cocea, George D. Magoulas
2011	A	`conf`	Context-Dependent Feedback Prioritisation in Exploratory Learning Revisited. UMAP Mihaela Cocea, George D. Magoulas
2011	—	`conf`	Identifying similarities in TMBL programs with alignment to quicken their compilation for GPUs: computational intelligence on consumer games and graphics hardware. GECCO (Companion) Tony E. Lewis, George D. Magoulas
2011	J	`jnl`	Nonmonotone BFGS-trained recurrent neural networks for temporal sequence processing. Appl. Math. Comput. Chun-Cheng Peng, George D. Magoulas
2011	J	`jnl`	Nonmonotone Levenberg-Marquardt training of recurrent neural architectures for processing symbolic sequences. Neural Comput. Appl. Chun-Cheng Peng, George D. Magoulas
2011	—	`conf`	TMBL kernels for CUDA GPUs compile faster using PTX: computational intelligence on consumer games and graphics hardware. GECCO (Companion) Tony E. Lewis, George D. Magoulas
2010	B	`conf`	A Case-Based Reasoning Approach to Provide Adaptive Feedback in Microworlds. Intelligent Tutoring Systems (2) Sergio Gutiérrez Santos, Mihaela Cocea, George D. Magoulas
2010	—	`conf`	Adaptive Modelling of Users' Strategies in Exploratory Learning Using Case-Based Reasoning. KES (2) Mihaela Cocea, Sergio Gutiérrez Santos, George D. Magoulas
2010	—	`conf`	Autonomic Computing and Ontologies to Enable Context-aware Learning Design. ICTAI (2) Patricia Charlton, George D. Magoulas
2010	—	`conf`	Group Formation for Collaboration in Exploratory Learning Using Group Technology Techniques. KES (2) Mihaela Cocea, George D. Magoulas
2010	J	`jnl`	Human behavior in ubiquitous environments: Experience and interaction design. Pervasive Mob. Comput. George Roussos, Mirco Musolesi, George D. Magoulas
2010	—	`conf`	Identifying user strategies in exploratory learning with evolving task modelling. IEEE Conf. of Intelligent Systems Mihaela Cocea, George D. Magoulas
2010	J	`jnl`	Introduction to the special issue on "Human Behavior in Ubiquitous Environments: Modeling of Human Mobility Patterns". Pervasive Mob. Comput. George Roussos, Mirco Musolesi, George D. Magoulas
2010	B	`conf`	Layered Development and Evaluation for Intelligent Support in Exploratory Environments: The Case of Microworlds. Intelligent Tutoring Systems (1) Sergio Gutiérrez Santos, Manolis Mavrikis, George D. Magoulas
2010	J	`jnl`	Learning as immersive experiences: Using the four-dimensional framework for designing and evaluating immersive learning experiences in a virtual world. Br. J. Educ. Technol. Sara de Freitas, Genaro Rebolledo-Mendez, Fotis Liarokapis, George D. Magoulas, Alexandra Poulovassilis
2010	—	`conf`	Self-configurable framework for enabling context-aware learning design. IEEE Conf. of Intelligent Systems Patricia Charlton, George D. Magoulas
2010	Misc	`conf`	Sequence Detection for Adaptive Feedback Generation in an Exploratory Environment for Mathematical Generalisation. AIMSA Sergio Gutiérrez Santos, Manolis Mavrikis, George D. Magoulas
2010	B	`conf`	Tweaking a tower of blocks leads to a TMBL: Pursuing long term fitness growth in program evolution. IEEE Congress on Evolutionary Computation Tony E. Lewis, George D. Magoulas
2009	A	`conf`	An Eco-Friendly Intelligent Environment for Exploring Mathematical Generalisation. AIED Darren Pearce, Eirini Geraniou, Sergio Gutiérrez Santos, Manolis Mavrikis, Mihaela Cocea, Celia Hoyles, Ken Kahn, George D. Magoulas, Richard Noss, Alexandra Poulovassilis, Niall Winters
2009	A	`conf`	Context-Dependent Personalised Feedback Prioritisation in Exploratory Learning for Mathematical Generalisation. UMAP Mihaela Cocea, George D. Magoulas
2009	—	`conf`	Developing an Evaluation Methodology for Immersive Learning Experiences in a Virtual World. VS-GAMES Sara de Freitas, Genaro Rebolledo-Mendez, Fotis Liarokapis, George D. Magoulas, Alexandra Poulovassilis
2009	A	`conf`	Enabling creative learning design: how HCI, User Modelling and Human Factors help. AIED Patricia Charlton, Maria Grigoriadou, Diana Laurillard, George D. Magoulas, Kyparisia A. Papanikolaou
2009	J	`jnl`	Hybrid model for learner modelling and feedback prioritisation in exploratory learning. Int. J. Hybrid Intell. Syst. Mihaela Cocea, George D. Magoulas
2009	A	`conf`	Identifying strategies in user's exploratory learning behaviour for mathematical generalisation. AIED Mihaela Cocea, George D. Magoulas
2009	J	`jnl`	Interface design and evaluation of a personal information space for mobile learners. Int. J. Mob. Learn. Organisation Dionisios Dimakopoulos, George D. Magoulas
2009	C	`conf`	Nonmonotone Learning of Recurrent Neural Networks in Symbolic Sequence Processing Applications. EANN Chun-Cheng Peng, George D. Magoulas
2009	B	`conf`	Searching for "People Like Me" in a Lifelong Learning System. EC-TEL Nicolas van Labeke, George D. Magoulas, Alexandra Poulovassilis
2009	—	`ch.`	Sequence Processing with Recurrent Neural Networks. Encyclopedia of Artificial Intelligence Chun-Cheng Peng, George D. Magoulas
2009	A	`conf`	Strategies to minimise the total run time of cyclic graph based genetic programming with GPUs. GECCO Tony E. Lewis, George D. Magoulas
2008	J	`jnl`	Advanced Adaptive Nonmonotone Conjugate Gradient Training Algorithm for Recurrent Neural Networks. Int. J. Artif. Intell. Tools Chun-Cheng Peng, George D. Magoulas
2008	—	`ch.`	L4All, a Web-Service Based System for Lifelong Learners. The Learning Grid Handbook Sara de Freitas, Ian Harrison, George D. Magoulas, George Papamarkos, Alexandra Poulovassilis, Nicolas van Labeke, Adrian Mee, Martin Oliver
2008	A	`conf`	TREAD: a new genetic programming representation aimed at research of long term complexity growth. GECCO Tony E. Lewis, George D. Magoulas
2008	B	`conf`	Using Similarity Metrics for Matching Lifelong Learners. Intelligent Tutoring Systems Nicolas van Labeke, Alexandra Poulovassilis, George D. Magoulas
2007	—	`conf`	Adaptive Nonmonotone Conjugate Gradient Training Algorithm for Recurrent Neural Networks. ICTAI (2) Chun-Cheng Peng, George D. Magoulas
2007	—	`conf`	Adaptive Self-scaling Non-monotone BFGS Training Algorithm for Recurrent Neural Networks. ICANN (1) Chun-Cheng Peng, George D. Magoulas
2007	A	`conf`	Adaptive particle swarm optimizer with nonextensive schedule. GECCO Aristoklis D. Anastasiadis, George D. Georgoulas, George D. Magoulas, Anthony Tzes
2007	J	`jnl`	Computational intelligence in medicine and biology. Appl. Intell. George D. Magoulas, Georgios Dounias
2007	J	`jnl`	Intelligence-based adaptation for ubiquitous multimedia communications. J. Netw. Comput. Appl. George D. Magoulas, George Ghinea
2007	—	`ch.`	User Modeling in Information Portals. Encyclopedia of Portal Technologies and Applications George D. Magoulas
2007	J	`jnl`	Virtual reality in the e-Society. Virtual Real. George D. Magoulas, Giorgos Lepouras, Costas Vassilakis
2006	J	`jnl`	Adaptive Algorithms for Neural Network Supervised Learning: a Deterministic Optimization Approach. Int. J. Bifurc. Chaos George D. Magoulas, Michael N. Vrahatis
2006	J	`jnl`	Analysing the localisation sites of proteins through neural networks ensembles. Neural Comput. Appl. Aristoklis D. Anastasiadis, George D. Magoulas
2006	J	`jnl`	Approaches to Adaptive Stochastic Search Based on the Nonextensive Q-Distribution. Int. J. Bifurc. Chaos George D. Magoulas, Aristoklis D. Anastasiadis
2006	J	`jnl`	Automated user modeling for personalized digital libraries. Int. J. Inf. Manag. Enrique Frías-Martínez, George D. Magoulas, Sherry Y. Chen, Robert D. Macredie
2006	J	`jnl`	Distributed computing methodology for training neural networks in an image-guided diagnostic application. Comput. Methods Programs Biomed. Vassilis P. Plagianakos, George D. Magoulas, Michael N. Vrahatis
2006	J	`jnl`	Evolutionary training of hardware realizable multilayer perceptrons. Neural Comput. Appl. Vassilis P. Plagianakos, George D. Magoulas, Michael N. Vrahatis
2006	J	`jnl`	Human factors in personalised systems and services. Interact. Comput. George D. Magoulas, Sherry Y. Chen
2006	J	`jnl`	Introduction to the special issue on intelligent technologies in medicine and bioinformatics. Comput. Biol. Medicine George D. Magoulas, Georgios Dounias
2006	J	`jnl`	Preface. Int. J. Artif. Intell. Tools George D. Magoulas, Georgios Dounias, Derek A. Linkens
2006	J	`jnl`	The development of a system for supporting the lifelong learner. Br. J. Educ. Technol. Sara de Freitas, Ian Harrison, George D. Magoulas, Adrian Mee, Fitri Mohamad, Martin Oliver, George Papamarkos, Alexandra Poulovassilis
2005	J	`jnl`	A flexible interface design for Web directories to accommodate different cognitive styles. J. Assoc. Inf. Sci. Technol. Sherry Y. Chen, George D. Magoulas, Dionisios Dimakopoulos
2005	J	`jnl`	Adaptation as a premise for perceptual-based multimedia communications. Int. J. Inf. Technol. Manag. Gheorghita Ghinea, Johnson P. Thomas, George D. Magoulas, Saeed Heravi
2005	J	`jnl`	Evolving Stochastic Learning Algorithm Based on Tsallis Entropic Index CoRR Aristoklis D. Anastasiadis, George D. Magoulas
2005	J	`jnl`	Intelligent synthesis mechanism for deriving streaming priorities of multimedia content. IEEE Trans. Multim. George Ghinea, George D. Magoulas, Christos Siamitros
2005	J	`jnl`	Modeling human behavior in user-adaptive systems: Recent advances using soft computing techniques. Expert Syst. Appl. Enrique Frías-Martínez, George D. Magoulas, Sherry Y. Chen, Robert D. Macredie
2005	J	`jnl`	Multicriteria decision making for enhanced perception-based multimedia communication. IEEE Trans. Syst. Man Cybern. Part A George Ghinea, George D. Magoulas, Christos Siamitros
2005	J	`jnl`	Neuro-fuzzy knowledge processing in intelligent learning environments for improved student diagnosis. Inf. Sci. Regina Stathacopoulou, George D. Magoulas, Maria Grigoriadou, Maria Samarakou
2005	J	`jnl`	New globally convergent training scheme based on the resilient propagation algorithm. Neurocomputing Aristoklis D. Anastasiadis, George D. Magoulas, Michael N. Vrahatis
2005	J	`jnl`	Sign-based learning schemes for pattern classification. Pattern Recognit. Lett. Aristoklis D. Anastasiadis, George D. Magoulas, Michael N. Vrahatis
2004	B	`conf`	A Neuro-Fuzzy Approach to Detect Student's Motivation. ICALT Regina Stathacopoulou, Maria Samarakou, Maria Grigoriadou, George D. Magoulas
2004	B	`conf`	A New Learning Rates Adaptation Strategy for the Resilient Propagation Algorithm. ESANN Aristoklis D. Anastasiadis, George D. Magoulas, Michael N. Vrahatis
2004	—	`conf`	A Personalised Interface for Web Directories Based on Cognitive Styles. User Interfaces for All George D. Magoulas, Sherry Y. Chen, Dionisios Dimakopoulos
2004	J	`jnl`	Cognitive styles and users' responses to structured information representation. Int. J. Digit. Libr. Sherry Y. Chen, George D. Magoulas, Robert D. Macredie
2004	—	`conf`	Integrating Perceptech Requirements in Multimedia Streaming. EWIMT George Ghinea, George D. Magoulas
2004	B	`conf`	Intelligent Learning Objects: An Agent Based Approach of Learning Objects. Intelligent Tutoring Systems Ricardo Azambuja Silveira, Eduardo Rodrigues Gomes, Vinicius Heidrich Pinto, George D. Magoulas
2004	J	`jnl`	Intelligent protocol adaptation in a medical e-collaboration environment. Int. J. Artif. Intell. Tools Gheorghita Ghinea, George D. Magoulas, Andrew O. Frank
2004	J	`jnl`	Neural network-based colonoscopic diagnosis using on-line learning and differential evolution. Appl. Soft Comput. George D. Magoulas, Vassilis P. Plagianakos, Michael N. Vrahatis
2004	B	`conf`	Nonextensive entropy and regularization for adaptive learning. IJCNN Aristoklis D. Anastasiadis, George D. Magoulas
2004	—	`conf`	Quality Processing of Microarray Image Data through Image Inpainting and Texture Synthesis. ISBI Paul O'Neill, George D. Magoulas, Xiaohui Liu
2004	—	`conf`	Recent Soft Computing Approaches to User Modeling in Adaptive Hypermedia. AH Enrique Frías-Martínez, George D. Magoulas, Sherry Y. Chen, Robert D. Macredie
2004	B	`conf`	Using Simulated Students for Machine Learning. Intelligent Tutoring Systems Regina Stathacopoulou, Maria Grigoriadou, Maria Samarakou, George D. Magoulas
2003	—	`conf`	A Neuro-fuzzy Approach in Student Modeling. User Modeling Regina Stathacopoulou, Maria Grigoriadou, George D. Magoulas, Denis Mitropoulos
2003	J	`jnl`	Adaptive web-based learning: accommodating individual differences through system's adaptation. Br. J. Educ. Technol. George D. Magoulas, Kyparisia A. Papanikolaou, Maria Grigoriadou
2003	B	`conf`	Classification of Protein Localisation Patterns via Supervised Neural Network Learning. IDA Aristoklis D. Anastasiadis, George D. Magoulas, Xiaohui Liu
2003	Misc	`conf`	Intelligent Protocol Adaptation for Enhanced Medical e-Collaboration. FLAIRS George Ghinea, George D. Magoulas, Andrew O. Frank
2003	B	`conf`	Obtaining Quality Microarray Data via Image Reconstruction. IDA Paul O'Neill, George D. Magoulas, Xiaohui Liu
2003	J	`jnl`	Personalizing the Interaction in a Web-based Educational Hypermedia System: the case of INSPIRE. User Model. User Adapt. Interact. Kyparisia A. Papanikolaou, Maria Grigoriadou, Harry Kornilakis, George D. Magoulas
2002	J	`jnl`	Deterministic nonmonotone strategies for effective training of multilayer perceptrons. IEEE Trans. Neural Networks Vassilis P. Plagianakos, George D. Magoulas, Michael N. Vrahatis
2002	—	`conf`	Fuzzy Inference for Student Diagnosis in Adaptive Educational Hypermedia. SETN Maria Grigoriadou, Harry Kornilakis, Kyparisia A. Papanikolaou, George D. Magoulas
2002	Misc	`conf`	General methodology 3: global search strategies for simulation optimisation. WSC George D. Magoulas, Tillal Eldabi, Ray J. Paul
2002	J	`jnl`	Globally convergent algorithms with local learning rates. IEEE Trans. Neural Networks George D. Magoulas, Vassilis P. Plagianakos, Michael N. Vrahatis
2002	J	`jnl`	Towards new forms of knowledge communication: the adaptive dimension of a web-based learning environment. Comput. Educ. Kyparisia A. Papanikolaou, Maria Grigoriadou, George D. Magoulas, Harry Kornilakis
2001	—	`conf`	Evaluation of textural feature extraction schemes for neural network-based interpretation of regions in medical images. ICIP (1) Stavros A. Karkanis, George D. Magoulas, Dimitrios K. Iakovidis, Dimitrios E. Maroulis, Dimitris A. Karras
2001	—	`conf`	INSPIRE: An INtelligent System for Personalized Instruction in a Remote Environment. OHS-7/SC-3/AH-3 Kyparisia A. Papanikolaou, Maria Grigoriadou, Harry Kornilakis, George D. Magoulas
2001	—	`conf`	Machine Learning in Medical Applications. Machine Learning and Its Applications George D. Magoulas, Andriana Prentza
2001	J	`jnl`	Model-based design and evaluation of interactive applications. Eur. J. Inf. Syst. George D. Magoulas
2001	J	`jnl`	Neuro-fuzzy synergism for planning the content in a web-based course. Informatica (Slovenia) George D. Magoulas, Kyparisia A. Papanikolaou, Maria Grigoriadou
2001	—	`conf`	Perceptual Considerations for Quality of Service Management: An Integrated Architecture. User Modeling George Ghinea, George D. Magoulas
2001	C	`conf`	Perceptual, considerations in a QoS framework: a fuzzy logic formulation. MMSP Gheorghita Ghinea, George D. Magoulas, Christos Siamitros
2001	A	`conf`	Quality of Service for Perceptual Considerations: An Integrated Perspective. ICME George Ghinea, George D. Magoulas
2000	—	`conf`	A Connectionist Approach for Supporting Personalized Learning in a Web-Based Learning Environment. AH Kyparisia A. Papanikolaou, George D. Magoulas, Maria Grigoriadou
2000	J	`jnl`	A class of adaptive learning rate algorithms derived by one-dimensional subminimization methods. Neural Parallel Sci. Comput. George D. Magoulas, Michael N. Vrahatis
2000	—	`conf`	Computational Intelligence in Adaptive Educational Hypermedia. IJCNN (6) Kyparisia A. Papanikolaou, George D. Magoulas, Maria Grigoriadou
2000	—	`conf`	Development and Convergence Analysis of Training Algorithms with Local Learning Rate Adaptation. IJCNN (1) George D. Magoulas, Vassilis P. Plagianakos, Michael N. Vrahatis
2000	J	`jnl`	Globally Convergent Modification of the Quickprop Method. Neural Process. Lett. Michael N. Vrahatis, George D. Magoulas, Vassilis P. Plagianakos
2000	—	`conf`	Tumor Recognition in Endoscopic Video Images Using Artificial Neural Network Architectures. EUROMICRO S. A. Karkanis, Dimitrios K. Iakovidis, Dimitrios E. Maroulis, Nikiforos G. Theofanous, George D. Magoulas
1999	B	`conf`	A connectionist approach for adaptive lesson presentation in a distance learning course. IJCNN Kyparisia A. Papanikolaou, George D. Magoulas, Maria Grigoriadou
1999	B	`conf`	Convergence analysis of the Quickprop method. IJCNN Michael N. Vrahatis, George D. Magoulas, Vassilis P. Plagianakos
1999	—	`conf`	Effective neural network training with a different learning rate for each weight. ICECS George D. Magoulas, Vassilis P. Plagianakos, Michael N. Vrahatis
1999	J	`jnl`	Improving the Convergence of the Backpropagation Algorithm Using Learning Rate Adaptation Methods. Neural Comput. George D. Magoulas, Michael N. Vrahatis, George S. Androulakis
1999	—	`conf`	Neural Network based Textural Labeling of Images in Multimedia Applications. EUROMICRO S. A. Karkanis, George D. Magoulas, Maria Grigoriadou, Dimitris A. Karras
1999	B	`conf`	Neural network-based fuzzy modeling of the student in intelligent tutoring systems. IJCNN Regina Stathacopoulou, George D. Magoulas, Maria Grigoriadou
1999	—	`conf`	Nonmonotone learning rules for backpropagation networks. ICECS Vassilis P. Plagianakos, George D. Magoulas, Michael N. Vrahatis
1999	B	`conf`	Nonmonotone methods for backpropagation training with adaptive learning rate. IJCNN Vassilis P. Palgianakos, Michael N. Vrahatis, George D. Magoulas
1999	B	`conf`	Sign-methods for training with imprecise error function and gradient values. IJCNN George D. Magoulas, Vassilis P. Plagianakos, Michael N. Vrahatis
1999	B	`conf`	Towards a Computationally Intelligent Lesson Adaptation for a Distance Learning Course. ICTAI George D. Magoulas, Kyparisia A. Papanikolaou, Maria Grigoriadou
1997	J	`jnl`	Effective Backpropagation Training with Variable Stepsize. Neural Networks George D. Magoulas, Michael N. Vrahatis, George S. Androulakis
1996	—	`conf`	A new method in neural network supervised training with imprecision. ICECS George D. Magoulas, Michael N. Vrahatis, George S. Androulakis
1995	B	`conf`	A hybrid knowledge representation model in a natural language interface to MS-DOS. ICTAI Stephanos E. Michos, George D. Magoulas, Nikos Fakotakis