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ORCIDGeorge D. Magoulas
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- affiliation: Birkbeck, University of London, UK
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Journal Articles
- 2022
[j62]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): 2250053:1-2250053:15 (2022)- 2021
- [j61]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): 133-173 (2021) - [j60]Nitsa J. Herzog, George D. Magoulas:
Brain Asymmetry Detection and Machine Learning Classification for Diagnosis of Early Dementia. Sensors 21(3): 778 (2021) - 2020
- [j59]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): 217-241 (2020) - 2019
- [j58]Alan Mosca, George D. Magoulas:
Customised ensemble methodologies for deep learning: Boosted Residual Networks and related approaches. Neural Comput. Appl. 31(6): 1713-1731 (2019) - 2018
- [j57]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): 89-111 (2018) - [j56]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: 146-166 (2018) - [j55]Alan Mosca, George D. Magoulas:
Hardening against adversarial examples with the smooth gradient method. Soft Comput. 22(10): 3203-3213 (2018) - 2017
- [j54]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): 436-449 (2017) - 2016
- [j53]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): 19-32 (2016) - [j52]Konstantinos Karoudis, George D. Magoulas:
Ubiquitous Learning Architecture to Enable Learning Path Design across the Cumulative Learning Continuum. Informatics 3(4): 19 (2016) - [j51]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: 169:1-169:40 (2016) - [j50]Tomasz D. Sikora, George D. Magoulas:
Evolutionary approaches to signal decomposition in an application service management system. Soft Comput. 20(8): 3063-3084 (2016) - 2015
- [j49]Mihaela Cocea, George D. Magoulas:
Participatory Learner Modelling Design: A methodology for iterative learner models development. Inf. Sci. 321: 48-70 (2015) - 2014
- [j48]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: 17-37 (2014) - 2013
- [j47]Tomasz D. Sikora, George D. Magoulas:
Neural Adaptive Control in Application Service Management Environment. Evol. Syst. 4(4): 267-287 (2013) - [j46]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): 15-30 (2013) - 2012
- [j45]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): 63-81 (2012) - [j44]Mihaela Cocea, George D. Magoulas:
User behaviour-driven group formation through case-based reasoning and clustering. Expert Syst. Appl. 39(10): 8756-8768 (2012) - 2011
- [j43]Chun-Cheng Peng, George D. Magoulas:
Nonmonotone BFGS-trained recurrent neural networks for temporal sequence processing. Appl. Math. Comput. 217(12): 5421-5441 (2011) - [j42]Chun-Cheng Peng, George D. Magoulas:
Nonmonotone Levenberg-Marquardt training of recurrent neural architectures for processing symbolic sequences. Neural Comput. Appl. 20(6): 897-908 (2011) - 2010
- [j41]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): 69-85 (2010) - [j40]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): 399-400 (2010) - [j39]George Roussos, Mirco Musolesi, George D. Magoulas:
Human behavior in ubiquitous environments: Experience and interaction design. Pervasive Mob. Comput. 6(5): 497-498 (2010) - 2009
- [j38]Mihaela Cocea, George D. Magoulas:
Hybrid model for learner modelling and feedback prioritisation in exploratory learning. Int. J. Hybrid Intell. Syst. 6(4): 211-230 (2009) - [j37]Dionisios Dimakopoulos, George D. Magoulas:
Interface design and evaluation of a personal information space for mobile learners. Int. J. Mob. Learn. Organisation 3(4): 440-463 (2009) - 2008
- [j36]Chun-Cheng Peng, George D. Magoulas:
Advanced Adaptive Nonmonotone Conjugate Gradient Training Algorithm for Recurrent Neural Networks. Int. J. Artif. Intell. Tools 17(5): 963-984 (2008) - 2007
- [j35]George D. Magoulas, Georgios Dounias:
Computational intelligence in medicine and biology. Appl. Intell. 27(3): 189-192 (2007) - [j34]George D. Magoulas, George Ghinea:
Intelligence-based adaptation for ubiquitous multimedia communications. J. Netw. Comput. Appl. 30(3): 955-957 (2007) - [j33]George D. Magoulas, Giorgos Lepouras, Costas Vassilakis:
Virtual reality in the e-Society. Virtual Real. 11(2-3): 71-73 (2007) - 2006
- [j32]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): 867-880 (2006) - [j31]George D. Magoulas, Georgios Dounias:
Introduction to the special issue on intelligent technologies in medicine and bioinformatics. Comput. Biol. Medicine 36(10): 1045-1048 (2006) - [j30]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): 228-235 (2006) - [j29]George D. Magoulas, Georgios Dounias, Derek A. Linkens:
Preface. Int. J. Artif. Intell. Tools 15(3): 331-334 (2006) - [j28]George D. Magoulas, Michael N. Vrahatis:
Adaptive Algorithms for Neural Network Supervised Learning: a Deterministic Optimization Approach. Int. J. Bifurc. Chaos 16(7): 1929-1950 (2006) - [j27]George D. Magoulas, Aristoklis D. Anastasiadis:
Approaches to Adaptive Stochastic Search Based on the Nonextensive Q-Distribution. Int. J. Bifurc. Chaos 16(7): 2081-2091 (2006) - [j26]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): 234-248 (2006) - [j25]George D. Magoulas, Sherry Y. Chen:
Human factors in personalised systems and services. Interact. Comput. 18(3): 327-330 (2006) - [j24]Vassilis P. Plagianakos, George D. Magoulas, Michael N. Vrahatis:
Evolutionary training of hardware realizable multilayer perceptrons. Neural Comput. Appl. 15(1): 33-40 (2006) - [j23]Aristoklis D. Anastasiadis, George D. Magoulas:
Analysing the localisation sites of proteins through neural networks ensembles. Neural Comput. Appl. 15(3-4): 277-288 (2006) - 2005
- [j22]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): 320-329 (2005) - [j21]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): 405-422 (2005) - [j20]Aristoklis D. Anastasiadis, George D. Magoulas, Michael N. Vrahatis:
New globally convergent training scheme based on the resilient propagation algorithm. Neurocomputing 64: 253-270 (2005) - [j19]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): 273-307 (2005) - [j18]Sherry Y. Chen, George D. Magoulas, Dionisios Dimakopoulos:
A flexible interface design for Web directories to accommodate different cognitive styles. J. Assoc. Inf. Sci. Technol. 56(1): 70-83 (2005) - [j17]Aristoklis D. Anastasiadis, George D. Magoulas, Michael N. Vrahatis:
Sign-based learning schemes for pattern classification. Pattern Recognit. Lett. 26(12): 1926-1936 (2005) - [j16]George Ghinea, George D. Magoulas, Christos Siamitros:
Intelligent synthesis mechanism for deriving streaming priorities of multimedia content. IEEE Trans. Multim. 7(6): 1047-1053 (2005) - [j15]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): 855-866 (2005) - 2004
- [j14]George D. Magoulas, Vassilis P. Plagianakos, Michael N. Vrahatis:
Neural network-based colonoscopic diagnosis using on-line learning and differential evolution. Appl. Soft Comput. 4(4): 369-379 (2004) - [j13]Gheorghita Ghinea, George D. Magoulas, Andrew O. Frank:
Intelligent protocol adaptation in a medical e-collaboration environment. Int. J. Artif. Intell. Tools 13(1): 199-218 (2004) - [j12]Sherry Y. Chen, George D. Magoulas, Robert D. Macredie:
Cognitive styles and users' responses to structured information representation. Int. J. Digit. Libr. 4(2): 93-107 (2004) - 2003
- [j11]George D. Magoulas, Kyparisia A. Papanikolaou, Maria Grigoriadou:
Adaptive web-based learning: accommodating individual differences through system's adaptation. Br. J. Educ. Technol. 34(4): 511-527 (2003) - [j10]Kyparisia A. Papanikolaou, Maria Grigoriadou, Harry Kornilakis, George D. Magoulas:
Personalizing the Interaction in a Web-based Educational Hypermedia System: the case of INSPIRE. User Model. User Adapt. Interact. 13(3): 213-267 (2003) - 2002
- [j9]Kyparisia A. Papanikolaou, Maria Grigoriadou, George D. Magoulas, Harry Kornilakis:
Towards new forms of knowledge communication: the adaptive dimension of a web-based learning environment. Comput. Educ. 39(4): 333-360 (2002) - [j8]George D. Magoulas, Vassilis P. Plagianakos, Michael N. Vrahatis:
Globally convergent algorithms with local learning rates. IEEE Trans. Neural Networks 13(3): 774-779 (2002) - [j7]Vassilis P. Plagianakos, George D. Magoulas, Michael N. Vrahatis:
Deterministic nonmonotone strategies for effective training of multilayer perceptrons. IEEE Trans. Neural Networks 13(6): 1268-1284 (2002) - 2001
- [j6]George D. Magoulas:
Model-based design and evaluation of interactive applications. Eur. J. Inf. Syst. 10(3): 175 (2001) - [j5]George D. Magoulas, Kyparisia A. Papanikolaou, Maria Grigoriadou:
Neuro-fuzzy synergism for planning the content in a web-based course. Informatica (Slovenia) 25(1) (2001) - 2000
- [j4]Michael N. Vrahatis, George D. Magoulas, Vassilis P. Plagianakos:
Globally Convergent Modification of the Quickprop Method. Neural Process. Lett. 12(2): 159-170 (2000) - [j3]George D. Magoulas, Michael N. Vrahatis:
A class of adaptive learning rate algorithms derived by one-dimensional subminimization methods. Neural Parallel Sci. Comput. 8(2): 147-168 (2000) - 1999
- [j2]George D. Magoulas, Michael N. Vrahatis, George S. Androulakis:
Improving the Convergence of the Backpropagation Algorithm Using Learning Rate Adaptation Methods. Neural Comput. 11(7): 1769-1796 (1999) - 1997
- [j1]George D. Magoulas, Michael N. Vrahatis, George S. Androulakis:
Effective Backpropagation Training with Variable Stepsize. Neural Networks 10(1): 69-82 (1997)
Conference and Workshop Papers
- 2022
- [c85]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: 412-423 - 2021
- [c84]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: 53-66 - [c83]Mihai Ermaliuc, Daniel Stamate, George D. Magoulas, Ida M. Pu:
Creating Ensembles of Generative Adversarial Network Discriminators for One-Class Classification. EANN 2021: 13-23 - [c82]Nitsa J. Herzog, George D. Magoulas:
Deep Learning of Brain Asymmetry Images and Transfer Learning for Early Diagnosis of Dementia. EANN 2021: 57-70 - [c81]Cosmin Stamate, George D. Magoulas, Michael S. C. Thomas:
Deep Learning Topology-Preserving EEG-Based Images for Autism Detection in Infants. EANN 2021: 71-82 - 2019
- [c80]Dilek Çelik, George D. Magoulas:
Challenging the Alignment of Learning Design Tools with HE Lecturers' Learning Design Practice. EC-TEL 2019: 142-157 - 2017
- [c79]Alan Mosca, George D. Magoulas:
Boosted Residual Networks. EANN 2017: 137-148 - [c78]Alan Mosca, George D. Magoulas:
Training convolutional networks with weight-wise adaptive learning rates. ESANN 2017 - [c77]Aracele Garcia de Oliveira Fassbinder, Marcelo Fassbinder, Ellen Francine Barbosa, George D. Magoulas:
Massive open online courses in software engineering education. FIE 2017: 1-9 - [c76]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: 31-40 - [c75]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: 369-377 - 2016
- [c74]Alan Mosca, George D. Magoulas:
Deep Incremental Boosting. GCAI 2016: 293-302 - [c73]Dilek Çelik, George D. Magoulas:
A Review, Timeline, and Categorization of Learning Design Tools. ICWL 2016: 3-13 - [c72]Dilek Çelik, George D. Magoulas:
Approaches to Design for Learning. ICWL 2016: 14-19 - [c71]Cosmin Stamate, George D. Magoulas, Michael S. C. Thomas:
Initialising Deep Neural Networks: An Approach Based on Linear Interval Tolerance. IntelliSys (2) 2016: 477-485 - [c70]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: 236-240 - [c69]Dilek Çelik, George D. Magoulas:
Teachers' Perspectives on Design for Learning using Computer based Information Systems: a Systematic literature Review. UKAIS 2016: 13 - [c68]Alan Mosca, George D. Magoulas:
Learning Input Features Representations in Deep Learning. UKCI 2016: 433-445 - 2015
- [c67]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: 1-8 - 2014
- [c66]Tomasz D. Sikora, George D. Magoulas:
Search-guided activity signals extraction in application service management control. UKCI 2014: 1-8 - 2013
- [c65]Maitrei Kohli, George D. Magoulas, Michael S. C. Thomas:
Transfer learning across heterogeneous tasks using behavioural genetic principles. UKCI 2013: 151-158 - 2012
- [c64]Tomasz D. Sikora, George D. Magoulas:
Neural Adaptive Control in Application Service Management Environment. EANN 2012: 223-233 - [c63]Stavros P. Adam, George D. Magoulas, Michael N. Vrahatis:
Direct Zero-Norm Minimization for Neural Network Pruning and Training. EANN 2012: 295-304 - [c62]Maitrei Kohli, George D. Magoulas, Michael S. C. Thomas:
Hybrid Computational Model for Producing English Past Tense Verbs. EANN 2012: 315-324 - [c61]Mihaela Cocea, George D. Magoulas:
Learning Task-Related Strategies from User Data through Clustering. ICALT 2012: 400-404 - 2011
- [c60]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: 447-454 - [c59]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: 455-462 - [c58]Mihaela Cocea, George D. Magoulas:
Context-Dependent Feedback Prioritisation in Exploratory Learning Revisited. UMAP 2011: 62-74 - 2010
- [c57]Sergio Gutiérrez Santos, Manolis Mavrikis, George D. Magoulas:
Sequence Detection for Adaptive Feedback Generation in an Exploratory Environment for Mathematical Generalisation. AIMSA 2010: 181-190 - [c56]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: 1-8 - [c55]Patricia Charlton, George D. Magoulas:
Autonomic Computing and Ontologies to Enable Context-aware Learning Design. ICTAI (2) 2010: 286-291 - [c54]Patricia Charlton, George D. Magoulas:
Self-configurable framework for enabling context-aware learning design. IEEE Conf. of Intelligent Systems 2010: 1-6 - [c53]Mihaela Cocea, George D. Magoulas:
Identifying user strategies in exploratory learning with evolving task modelling. IEEE Conf. of Intelligent Systems 2010: 13-18 - [c52]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: 105-114 - [c51]Sergio Gutiérrez Santos, Mihaela Cocea, George D. Magoulas:
A Case-Based Reasoning Approach to Provide Adaptive Feedback in Microworlds. Intelligent Tutoring Systems (2) 2010: 330-333 - [c50]Mihaela Cocea, George D. Magoulas:
Group Formation for Collaboration in Exploratory Learning Using Group Technology Techniques. KES (2) 2010: 103-113 - [c49]Mihaela Cocea, Sergio Gutiérrez Santos, George D. Magoulas:
Adaptive Modelling of Users' Strategies in Exploratory Learning Using Case-Based Reasoning. KES (2) 2010: 124-134 - 2009
- [c48]Mihaela Cocea, George D. Magoulas:
Identifying strategies in user's exploratory learning behaviour for mathematical generalisation. AIED 2009: 626-628 - [c47]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: 804 - [c46]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: 813 - [c45]Chun-Cheng Peng, George D. Magoulas:
Nonmonotone Learning of Recurrent Neural Networks in Symbolic Sequence Processing Applications. EANN 2009: 325-335 - [c44]Nicolas van Labeke, George D. Magoulas, Alexandra Poulovassilis:
Searching for "People Like Me" in a Lifelong Learning System. EC-TEL 2009: 106-111 - [c43]Tony E. Lewis, George D. Magoulas:
Strategies to minimise the total run time of cyclic graph based genetic programming with GPUs. GECCO 2009: 1379-1386 - [c42]Mihaela Cocea, George D. Magoulas:
Context-Dependent Personalised Feedback Prioritisation in Exploratory Learning for Mathematical Generalisation. UMAP 2009: 271-282 - [c41]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: 43-50 - 2008
- [c40]Tony E. Lewis, George D. Magoulas:
TREAD: a new genetic programming representation aimed at research of long term complexity growth. GECCO 2008: 1339-1340 - [c39]Nicolas van Labeke, Alexandra Poulovassilis, George D. Magoulas:
Using Similarity Metrics for Matching Lifelong Learners. Intelligent Tutoring Systems 2008: 142-151 - 2007
- [c38]Aristoklis D. Anastasiadis, George D. Georgoulas, George D. Magoulas, Anthony Tzes:
Adaptive particle swarm optimizer with nonextensive schedule. GECCO 2007: 168 - [c37]Chun-Cheng Peng, George D. Magoulas:
Adaptive Self-scaling Non-monotone BFGS Training Algorithm for Recurrent Neural Networks. ICANN (1) 2007: 259-268 - [c36]Chun-Cheng Peng, George D. Magoulas:
Adaptive Nonmonotone Conjugate Gradient Training Algorithm for Recurrent Neural Networks. ICTAI (2) 2007: 374-381 - 2004
- [c35]Enrique Frías-Martínez, George D. Magoulas, Sherry Y. Chen, Robert D. Macredie:
Recent Soft Computing Approaches to User Modeling in Adaptive Hypermedia. AH 2004: 104-114 - [c34]Aristoklis D. Anastasiadis, George D. Magoulas, Michael N. Vrahatis:
A New Learning Rates Adaptation Strategy for the Resilient Propagation Algorithm. ESANN 2004: 1-6 - [c33]George Ghinea, George D. Magoulas:
Integrating Perceptech Requirements in Multimedia Streaming. EWIMT 2004 - [c32]Regina Stathacopoulou, Maria Samarakou, Maria Grigoriadou, George D. Magoulas:
A Neuro-Fuzzy Approach to Detect Student's Motivation. ICALT 2004 - [c31]Paul O'Neill, George D. Magoulas, Xiaohui Liu:
Quality Processing of Microarray Image Data through Image Inpainting and Texture Synthesis. ISBI 2004: 117-120 - [c30]Ricardo Azambuja Silveira, Eduardo Rodrigues Gomes, Vinicius Heidrich Pinto, George D. Magoulas:
Intelligent Learning Objects: An Agent Based Approach of Learning Objects. Intelligent Tutoring Systems 2004: 886-888 - [c29]Regina Stathacopoulou, Maria Grigoriadou, Maria Samarakou, George D. Magoulas:
Using Simulated Students for Machine Learning. Intelligent Tutoring Systems 2004: 889-891 - [c28]George D. Magoulas, Sherry Y. Chen, Dionisios Dimakopoulos:
A Personalised Interface for Web Directories Based on Cognitive Styles. User Interfaces for All 2004: 159-166 - 2003
- [c27]George Ghinea, George D. Magoulas, Andrew O. Frank:
Intelligent Protocol Adaptation for Enhanced Medical e-Collaboration. FLAIRS 2003: 276-280 - [c26]Paul O'Neill, George D. Magoulas, Xiaohui Liu:
Obtaining Quality Microarray Data via Image Reconstruction. IDA 2003: 364-375 - [c25]Aristoklis D. Anastasiadis, George D. Magoulas, Xiaohui Liu:
Classification of Protein Localisation Patterns via Supervised Neural Network Learning. IDA 2003: 430-439 - [c24]Regina Stathacopoulou, Maria Grigoriadou, George D. Magoulas, Denis Mitropoulos:
A Neuro-fuzzy Approach in Student Modeling. User Modeling 2003: 337-341 - 2002
- [c23]Maria Grigoriadou, Harry Kornilakis, Kyparisia A. Papanikolaou, George D. Magoulas:
Fuzzy Inference for Student Diagnosis in Adaptive Educational Hypermedia. SETN 2002: 191-202 - [c22]George D. Magoulas, Tillal Eldabi, Ray J. Paul:
General methodology 3: global search strategies for simulation optimisation. WSC 2002: 1978-1985 - 2001
- [c21]George D. Magoulas, Andriana Prentza:
Machine Learning in Medical Applications. Machine Learning and Its Applications 2001: 300-307 - [c20]Stavros A. Karkanis, George D. Magoulas, Dimitrios K. Iakovidis, Dimitrios E. Maroulis, Dimitris A. Karras:
Evaluation of textural feature extraction schemes for neural network-based interpretation of regions in medical images. ICIP (1) 2001: 281-284 - [c19]George Ghinea, George D. Magoulas:
Quality of Service for Perceptual Considerations: An Integrated Perspective. ICME 2001 - [c18]Gheorghita Ghinea, George D. Magoulas, Christos Siamitros:
Perceptual, considerations in a QoS framework: a fuzzy logic formulation. MMSP 2001: 353-358 - [c17]Kyparisia A. Papanikolaou, Maria Grigoriadou, Harry Kornilakis, George D. Magoulas:
INSPIRE: An INtelligent System for Personalized Instruction in a Remote Environment. OHS-7/SC-3/AH-3 2001: 215-225 - [c16]George Ghinea, George D. Magoulas:
Perceptual Considerations for Quality of Service Management: An Integrated Architecture. User Modeling 2001: 234-236 - 2000
- [c15]Kyparisia A. Papanikolaou, George D. Magoulas, Maria Grigoriadou:
A Connectionist Approach for Supporting Personalized Learning in a Web-Based Learning Environment. AH 2000: 189-201 - [c14]S. A. Karkanis, Dimitrios K. Iakovidis, Dimitrios E. Maroulis, Nikiforos G. Theofanous, George D. Magoulas:
Tumor Recognition in Endoscopic Video Images Using Artificial Neural Network Architectures. EUROMICRO 2000: 2423- - [c13]George D. Magoulas, Vassilis P. Plagianakos, Michael N. Vrahatis:
Development and Convergence Analysis of Training Algorithms with Local Learning Rate Adaptation. IJCNN (1) 2000: 21-26 - [c12]Kyparisia A. Papanikolaou, George D. Magoulas, Maria Grigoriadou:
Computational Intelligence in Adaptive Educational Hypermedia. IJCNN (6) 2000: 629-636 - 1999
- [c11]S. A. Karkanis, George D. Magoulas, Maria Grigoriadou, Dimitris A. Karras:
Neural Network based Textural Labeling of Images in Multimedia Applications. EUROMICRO 1999: 2392- - [c10]Vassilis P. Plagianakos, George D. Magoulas, Michael N. Vrahatis:
Nonmonotone learning rules for backpropagation networks. ICECS 1999: 291-294 - [c9]George D. Magoulas, Vassilis P. Plagianakos, Michael N. Vrahatis:
Effective neural network training with a different learning rate for each weight. ICECS 1999: 591-594 - [c8]George D. Magoulas, Kyparisia A. Papanikolaou, Maria Grigoriadou:
Towards a Computationally Intelligent Lesson Adaptation for a Distance Learning Course. ICTAI 1999: 5-12 - [c7]Michael N. Vrahatis, George D. Magoulas, Vassilis P. Plagianakos:
Convergence analysis of the Quickprop method. IJCNN 1999: 1209-1214 - [c6]Vassilis P. Palgianakos, Michael N. Vrahatis, George D. Magoulas:
Nonmonotone methods for backpropagation training with adaptive learning rate. IJCNN 1999: 1762-1767 - [c5]George D. Magoulas, Vassilis P. Plagianakos, Michael N. Vrahatis:
Sign-methods for training with imprecise error function and gradient values. IJCNN 1999: 1768-1773 - [c4]Regina Stathacopoulou, George D. Magoulas, Maria Grigoriadou:
Neural network-based fuzzy modeling of the student in intelligent tutoring systems. IJCNN 1999: 3517-3521 - [c3]Kyparisia A. Papanikolaou, George D. Magoulas, Maria Grigoriadou:
A connectionist approach for adaptive lesson presentation in a distance learning course. IJCNN 1999: 3522-3526 - 1996
- [c2]George D. Magoulas, Michael N. Vrahatis, George S. Androulakis:
A new method in neural network supervised training with imprecision. ICECS 1996: 287-290 - 1995
- [c1]Stephanos E. Michos, George D. Magoulas, Nikos Fakotakis:
A hybrid knowledge representation model in a natural language interface to MS-DOS. ICTAI 1995: 480-483
Parts in Books or Collections
- 2008
- [p1]Sara de Freitas, Ian Harrison, George D. Magoulas, George Papamarkos, Alexandra Poulovassilis, Nicolas van Labeke, Adrian Mee, Martin Oliver:
L4All, a Web-Service Based System for Lifelong Learners. The Learning Grid Handbook 2008: 143-155
Reference Works
- 2009
- [r2]Chun-Cheng Peng, George D. Magoulas:
Sequence Processing with Recurrent Neural Networks. Encyclopedia of Artificial Intelligence 2009: 1411-1417 - 2007
- [r1]George D. Magoulas:
User Modeling in Information Portals. Encyclopedia of Portal Technologies and Applications 2007: 1068-1073
Informal and Other Publications
- 2022
- [i5]Paschalis Lagias, George D. Magoulas, Ylli Prifti, Alessandro Provetti:
Predicting Seriousness of Injury in a Traffic Accident: A New Imbalanced Dataset and Benchmark. CoRR abs/2205.10441 (2022) - 2017
- [i4]Alan Mosca, George D. Magoulas:
Deep Incremental Boosting. CoRR abs/1708.03704 (2017) - 2015
- [i3]Cosmin Stamate, George D. Magoulas, Michael S. C. Thomas:
Transfer learning approach for financial applications. CoRR abs/1509.02807 (2015) - [i2]Alan Mosca, George D. Magoulas:
Adapting Resilient Propagation for Deep Learning. CoRR abs/1509.04612 (2015) - 2005
- [i1]Aristoklis D. Anastasiadis, George D. Magoulas:
Evolving Stochastic Learning Algorithm Based on Tsallis Entropic Index. CoRR abs/cs/0512037 (2005)
Coauthor Index
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