Browse by Staff

Herzog, Nitsa and Magoulas, George (2022) Convolutional neural networks-based framework for early identification of dementia using MRI of brain asymmetry. International Journal of Neural Systems 32 (12), ISSN 1793-6462.

Herzog, Nitsa and Magoulas, George (2022) Deep transfer learning for DTI- and MRI- based early diagnosis of cognitive decline and dementia. In: 17th International Conference on Computational Intelligence Methods for Bioinformatics and Biostatistics-CIBB 2021, 15-17 Nov 2021, Online.

Herzog, Nitsa and Magoulas, George (2022) Transfer learning and magnetic resonance imaging techniques for the deep neural network-based diagnosis of early cognitive decline and dementia. In: Chicco, D. and Facchiano, A. and Mutarelli, M. (eds.) Computational Intelligence Methods for Bioinformatics and Biostatistics: 17th International Meeting, CIBB 2021, Virtual Event, November 15–17, 2021, Revised Selected Papers. Lecture Notes in Computer Science. Springer, pp. 53-66. ISBN 9783031208379.

Lagias, Paschalis and Magoulas, George and Prifti, Ylli and Provetti, Alessandro (2022) Predicting seriousness of injury in a traffic accident: a new imbalanced dataset and benchmark. Communications in Computer and Information Science 1600 , pp. 412-423. ISSN 1865-0937.

Herzog, Nitsa J. and Magoulas, George D. (2022) Machine learning-supported MRI analysis of brain asymmetry for early diagnosis of dementia. In: Hassanien, A.E. and Bhatnagar, R. and Snášel, V. and Yasin Shams, M. (eds.) Medical Informatics and Bioimaging Using Artificial Intelligence. Studies in Computational Intelligence 1005. Springer, pp. 29-52. ISBN 9783030911034.

Ermaliuc, M. and Stamate, D. and Magoulas, George and Pu, I. (2021) Creating ensembles of generative adversarial network discriminators for one-class classification. In: 22nd International Conference on Engineering Applications of Neural Networks, 25-27 June 2021, Crete, Greece (online).

Herzog, Nitsa and Magoulas, George (2021) Deep learning of brain asymmetry images and transfer learning for early diagnosis of dementia. In: 22nd International Conference on Engineering Applications of Neural Networks, 25-27 June 2021, Crete, Greece (online).

Stamate, Cosmin and Magoulas, George and Thomas, Michael (2021) Deep learning topology-preserving EEG-based images for autism detection in infants. In: 22nd International Conference on Engineering Applications of Neural Networks, 25-27 June 2021, Crete, Greece (online).

Herzog, Nitsa J. and Magoulas, George D. (2021) Brain asymmetry detection and machine learning classification for diagnosis of early Dementia. Sensors 21 (3), ISSN 1424-8220.

Tomasz, Sikora and Magoulas, George D. (2021) Neural Adaptive Admission Control Framework: SLA-driven action termination for real-time application service management. Enterprise Information Systems 15 (2), pp. 133-173. ISSN 1751-7575.

Kohli, Maitrei and Magoulas, George D. and Thomas, Michael (2020) Evolving Connectionist Models to capture population variability across language development: modelling children’s past tense formation. Artificial Life 26 (2), pp. 217-241. ISSN 1064-5462.

Celik, Dilek and Magoulas, George D. (2019) Challenging the alignment of learning design tools with HE lecturers’ learning design practice. In: Scheffel, M. and Broisin, J. and Pammer-Schindler, V. and Ioannou, A. and Schneider, J. (eds.) Transforming Learning with Meaningful Technologies: 14th European Conference on Technology Enhanced Learning, EC-TEL 2019, Delft, The Netherlands, September 16–19, 2019, Proceedings. Lecture Notes in Computer Science 11722. Springer, pp. 142-157. ISBN 9783030297350.

Mosca, Alan and Magoulas, George D. (2018) Customised ensemble methodologies for deep learning: boosted residual networks and related approaches. Neural Computing and Applications 31 (6), pp. 1713-1731. ISSN 0941-0643.

Karoudis, K. and Magoulas, George D. (2018) User model interoperability in education: sharing learner data using the experience API and distributed ledger technology. In: Khan, B.H. and Corbeil, J.R. and Corbeil, M.E. (eds.) Responsible Analytics and Data Mining in Education. Abingdon, UK: Routledge. ISBN 9781138305885.

Mosca, Alan and Magoulas, George D. (2018) Hardening against adversarial examples with the smooth gradient method. Soft Computing 22 (10), pp. 3203-3213. ISSN 1432-7643.

Stamate, C. and Magoulas, George D. and Kueppers, S. and Nomikou, E. and Daskalopoulos, I. and Jha, A. and Pons, J.S. and Rothwell, J. and Luchini, M.U. and Moussouri, T. and Iannone, M. and Roussos, George (2018) The cloudUPDRS app: a medical device for the clinical assessment of Parkinson's Disease. Pervasive and Mobile Computing 43 , pp. 146-166. ISSN 1574-1192.

Haq, Anwar and Magoulas, George D. and Jamal, A. and Majeed, A. and Sloan, D. (2018) Users perceptions of e-learning environments and services effectiveness: the emergence of the concept functionality model. Journal of Enterprise Information Management 31 (1), pp. 89-111. ISSN 1741-0398.

Grawemeyer, Beate and Karoudis, Konstantinos and Magoulas, George D. and Pinto, M. and Poulovassilis, Alexandra (2017) Design and evaluation of adaptive feedback to foster ICT information processing skills in young adults. In: UNSPECIFIED (ed.) WWW '17: Companion Proceedings of the 26th International Conference on World Wide Web Companion. New York, U.S.: ACM, pp. 369-377. ISBN 9781450349147.

Cocea, M. and Magoulas, George D. (2017) Design and evaluation of a case-based system for modelling exploratory learning behaviour of math generalisation. IEEE Transactions on Learning Technologies , ISSN 1939-1382.

Mosca, Alan and Magoulas, George D. (2017) Boosted Residual Networks. In: Boracchi, G. and Iliadis, L. and Jayne, C. and Likas, A. (eds.) Engineering Applications of Neural Networks. Communications in Computer and Information Science 744. Springer, pp. 137-148. ISBN 9783319651712.

Stamate, Cosmin and Magoulas, George D. and Kueppers, S. and Nomikou, E. and Daskalopoulos, I. and Luchini, M.U. and Moussouri, T. and Roussos, George (2017) Deep learning Parkinson's from smartphone data. In: UNSPECIFIED (ed.) 2017 IEEE International Conference on Pervasive Computing and Communications (PerCom). IEEE Computer Society, pp. 31-40. ISBN 9781509043279.

Karagkiozoglou, Konstantinos and Magoulas, George D. (2016) Ubiquitous learning architecture to enable learning path design across the cumulative learning continuum. Informatics 3 (4), p. 19. ISSN 2227-9709.

Celik, Dilek and Magoulas, George D. (2016) Approaches to design for learning. In: Chiu, D.K.W. and Marenzi, I. and Nanni, U. and Spaniol, M. and Temperini, M. (eds.) Advances in Web-Based Learning – ICWL 2016. Lecture Notes in Computer Science 10013. New York, U.S.: Springer, pp. 14-19.

Celik, Dilek and Magoulas, George D. (2016) A review, timeline, and categorization of learning design tools. In: Chiu, D.K.W. and Marenzi, I. and Nanni, U. and Spaniol, M. (eds.) Advances in Web-Based Learning – ICWL 2016. Lecture Notes in Computer Science 10013. New York, U.S.: Springer, pp. 3-13. ISBN 9783319474397.

Karoudis, Konstantinos and Magoulas, George D. (2016) An architecture for smart lifelong learning design. In: Popescu, E. and Kinshuk and Khribi, M.K. and Huang, R. and Jemni, M. and Chen, N.-S. and Sampson, D.G. (eds.) Innovations in Smart Learning. Lecture Notes in Educational Technology. Singapore: Springer Singapore, pp. 109-115. ISBN 9789811024191.

Adam, S.P. and Magoulas, George D. and Karras, D.A. and Vrahatis, M.N. (2016) Bounding the search space for global optimization of neural networks learning error: an interval analysis approach. Journal of Machine Learning Research 17 , pp. 1-40. ISSN 1533-7928.

Mosca, Alan and Magoulas, George D. (2016) Learning input features representations in deep learning. In: Angelov, P. and Gegov, A. and Jayne, C. and Shen, Q. (eds.) Advances in Computational Intelligence Systems: Contributions Presented at the 16th UK Workshop on Computational Intelligence, September 7–9, 2016, Lancaster, UK. Advances in Intelligent Systems and Computing (AISC) 513. Berlin, Germany: Springer, pp. 433-445. ISBN 9783319465616.

Papanikolaou, K. and Makrh, K. and Magoulas, George D. and Chinou, D. and Georgalas, A. and Roussos, P. (2016) Synthesizing technological and pedagogical knowledge in learning design: a case study in teacher training on technology enhanced learning. International Journal of Digital Literacy and Digital Competence 7 (1), ISSN 1947-3494.

Peng, C.-C. and Magoulas, George (2007) Adaptive nonmonotone conjugate gradient training algorithm for recurrent neural networks. In: UNSPECIFIED (ed.) 19th IEEE International Conference on Tools with Artificial Intelligence. IEEE Computer Society, pp. 374-381. ISBN 9780769530154.

Anastasiadis, A.D. and Georgoulas, G.D. and Magoulas, George and Tzes, A. (2007) Adaptive particle swarm optimizer with nonextensive schedule. In: Lipson, H. (ed.) Genetic and Evolutionary Computation Conference. ACM. ISBN 9781595936974.

Peng, C.-C. and Magoulas, George (2007) Adaptive self-scaling non-monotone BFGS training algorithm for recurrent neural networks. In: de S'a, J.M. and Alexandre, L.A. and Duch, W. and Mandic, D.P. (eds.) Artificial Neural Networks: 17th International Conference. Lecture Notes in Computer Science 4668. Springer, pp. 259-268. ISBN 9783540746904.

Magoulas, George and Dounias, G. (2007) Computational intelligence in medicine and biology. Applied Intelligence 27 (3), pp. 189-192. ISSN 0924-669X.

Magoulas, George (2007) User modeling in information portals. In: Tatnall, A. (ed.) Encyclopedia of Portal Technologies and Applications. IGI Global, pp. 1068-1073. ISBN 9781591409892.

Magoulas, George and Lepouras, G. and Vassilakis, C. (2007) Virtual reality in the e-society. Virtual Reality 11 (2-3), pp. 71-73. ISSN 1359-4338.

Magoulas, George and Vrahatis, M.N. (2006) Adaptive algorithms for neural network supervised learning: a deterministic optimization approach. International Journal of Bifurcation and Chaos 16 (7), pp. 1929-1950. ISSN 0218-1274.

Anastasiadis, A.D. and Magoulas, George (2006) Analysing the localisation sites of proteins through neural networks ensembles. Neural Computing and Applications 15 (3/4), pp. 277-288. ISSN 0941-0643.

Magoulas, George and Anastasiadis, A.D. (2006) Approaches to adaptive stochastic search based on the nonextensive Q-distribution. International Journal of Bifurcation and Chaos 16 (7), pp. 2081-2091. ISSN 0218-1274.

Frias-Martinez, E. and Magoulas, George and Chen, S.Y. and Macredie, R.D. (2006) Automated user modeling for personalized digital libraries. International Journal of Information Management 26 (3), pp. 234-248. ISSN 0268-4012.

Plagianakos, V.P. and Magoulas, George and Vrahatis, M.N. (2006) Evolutionary training of hardware realizable multilayer perceptrons. Neural Computing and Applications 15 (1), pp. 33-40. ISSN 0941-0643.

Magoulas, George and Chen, S.Y. (2006) Human factors in personalised systems and services. [Editorial/Introduction]

Magoulas, George and Dounias, G. (2006) Introduction: special issue on intelligent technologies in medicine and bioinformatics. [Editorial/Introduction]

Magoulas, George and Dounias, G. and Linkens, D.A. (2006) Preface. International Journal on Artificial Intelligence Tools 15 (3), pp. 331-334. ISSN 0218-2130.

De Freitas, Sara and Harrison, Ian and Magoulas, George and Mee, A. and Mohamad, F. and Oliver, M. and Papamarkos, G. and Poulovassilis, Alex (2006) The development of a system for supporting the lifelong learner. British Journal of Educational Technology 37 (6), pp. 867-880. ISSN 0007-1013.

Ghinea, G. and Thomas, J.P. and Magoulas, George and Heravi, S. (2005) Adaptation as a premise for perceptual-based multimedia communications. International Journal of Information Technology and Management 4 (4), pp. 405-422. ISSN 1461-4111.

Anastasiadis, A.D. and Magoulas, George and Vrahatis, M.N. (2005) New globally convergent training scheme based on the resilient propagation algorithm. Neurocomputing 64 , pp. 253-270. ISSN 0925-2312.

Anastasiadis, A.D. and Magoulas, George and Vrahatis, M.N. (2005) Sign-based learning schemes for pattern classification. Pattern Recognition Letters 26 (12), pp. 1926-1936. ISSN 0167-8655.

Chen, S.Y. and Magoulas, George and Dimakopoulos, Dionysios (2005) A flexible interface design for web directories to accommodate different cognitive styles. The Journal of the Association for Information Science and Technology 56 (1), pp. 70-83. ISSN 2330-1643.

Chen, S.Y. and Magoulas, George and Macredie, R.D. (2004) Cognitive styles and users' responses to structured information representation. International Journal on Digital Libraries 4 (2), pp. 93-107. ISSN 1432-5012.

Ghinea, G. and Magoulas, George (2004) Integrating perceptech requirements in multimedia streaming. In: Hobson, P. and Izquierdo, E. and Kompatsiaris, I. and O'Connor, N.E. (eds.) Knowledge-Based Media Analysis for Self-Adaptive and Agile Multi-Media: Proceedings of the European Workshop for the Integration of Knowledge, Semantics and Digital Media Technology. QMUL, pp. 25-26.

Silveira, R.A. and Gomes, E.R. and Pinto, V.H. and Magoulas, George (2004) Intelligent learning objects: an agent based approach of learning objects. In: Lester, J.C. and Vicari, R.M. and Paraguaccu, F. (eds.) Intelligent Tutoring Systems: 7th International Conference. Lecture Notes in Computer Science 3220. Springer, pp. 886-888. ISBN 9783540229483.

Ghinea, G. and Magoulas, George and Frank, A.O. (2004) Intelligent protocol adaptation in a medical e-collaboration environment. International Journal on Artificial Intelligence Tools 13 (1), pp. 199-218. ISSN 0218-2130.

O'Neill, P. and Magoulas, George and Liu, X. (2004) Quality processing of microarray image data through image inpainting and texture synthesis. In: UNSPECIFIED (ed.) Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro. IEEE Computer Society, pp. 117-120. ISBN 0780383885.

Frias-Martinez, E. and Magoulas, George and Chen, S.Y. and Macredie, R.D. (2004) Recent soft computing approaches to user modeling in adaptive hypermedia. In: De Bra, P. and Nejdl, W. (eds.) Adaptive Hypermedia and Adaptive Web-Based Systems: Third International Conference. Lecture Notes in Computer Science 3137. Springer, pp. 104-114. ISBN 9783540-228950.

Stathacopoulou, R. and Grigoriadou, M. and Samarakou, M. and Magoulas, George (2004) Using simulated students for machine learning. In: Lester, J.C. and Vicari, R.M. and Paraguaccu, F. (eds.) Intelligent Tutoring Systems: 7th International Conference. Lecture Notes in Computer Science 3220. Springer, pp. 889-891. ISBN 9783540229483.

Stathacopoulou, R. and Samarakou, M. and Grigoriadou, M. and Magoulas, George (2004) A neuro-fuzzy approach to detect student's motivation. In: Kinshuk and Looi, C.-K. and Sutinen, E. and Sampson, D.G. and Aedo, I. and Uden, L. and Kahkonen, E. (eds.) Proceedings of the IEEE International Conference on Advanced Learning Technologies. IEEE Computer Society.

Anastasiadis, A.D. and Magoulas, George and Vrahatis, M.V. (2004) A new learning rates adaptation strategy for the resilient propagation algorithm. In: UNSPECIFIED (ed.) ESANN 2004: 12th European Symposium on Artificial Neural Networks. ESANN, pp. 1-6.

Magoulas, George and Chen, S.Y. and Dimakopoulos, Dionysios (2004) A personalised interface for web directories based on cognitive styles. In: Stary, C. and Stephanidis, C. (eds.) User-Centered Interaction Paradigms for Universal Access in the Information Society. Lecture Notes in Computer Science 3196. Springer, pp. 159-166. ISBN 9783540233756.

Magoulas, George and Papanikolaou, K.A. and Grigoriadou, M. (2003) Adaptive web-based learning: accommodating individual differences through system's adaptation. British Journal of Educational Technology 34 (4), pp. 511-527. ISSN 0007-1013.

Anastasiadis, A.D. and Magoulas, George and Liu, X. (2003) Classification of protein localisation patterns via supervised neural network learning. In: Berthold, M.R. and Lenz, H.-J. and Bradley, E. and Kruse, R. and Borgelt, C. (eds.) Advances in Intelligent Data Analysis V: 5th International Symposium on Intelligent Data Analysis. Lecture Notes in Computer Science 2810. Springer, pp. 430-439. ISBN 9783540452317.

Ghinea, G. and Magoulas, George and Frank, A.O. (2003) Intelligent protocol adaptation for enhanced medical e-collaboration. In: Russell, I. and Haller, S.M. (eds.) Proceedings of the Sixteenth International Florida Artificial Intelligence Research Society Conference. AAAI Press, pp. 276-280. ISBN 9781577351771.

O'Neill, P. and Magoulas, George and Liu, X. (2003) Obtaining quality microarray data via image reconstruction. In: Berthold, M.R. and Lenz, H.-J. and Bradley, E. and Kruse, R. and Borgelt, C. (eds.) Advances in Intelligent Data Analysis V: 5th International Symposium on Intelligent Data Analysis. Lecture Notes in Computer Science 2810. Springer, pp. 364-375. ISBN 9783540408130.

Papanikolaou, K.A. and Grigoriadou, M. and Kornilakis, H. and Magoulas, George (2003) Personalizing the interaction in a web-based educational hypermedia system: the case of INSPIRE. User Modeling and User-Adapted Interaction - Special Issue on Impact of Learner Modeling 13 (3), pp. 213-267. ISSN 0924-1868.

Stathacopoulou, R. and Grigoriadou, M. and Magoulas, George and Mitropoulos, D. (2003) A neuro-fuzzy approach in student modeling. In: Brusilovsky, P and Corbett, A. and de Rosis, F. (eds.) User Modeling 2003: 9th International Conference. Lecture Notes in Computer Science 2702. Springer, pp. 337-341. ISBN 9783540449638.

Plagianakos, V.P. and Magoulas, George and Vrahatis, M.N. (2002) Deterministic nonmonotone strategies for effective training of multilayer perceptrons. IEEE Transactions on Neural Networks 13 (6), pp. 1268-1284. ISSN 1045-9227.

Grigoriadou, M. and Kornilakis, H. and Papanikolaou, K.A. and Magoulas, George (2002) Fuzzy inference for student diagnosis in adaptive educational hypermedia. In: Vlahavas, I.P. and Spyropoulos, C.D. (eds.) Methods and Applications of Artificial Intelligence: Second Hellenic Conference on AI. Lecture Notes in Computer Science 2308. Springer, pp. 191-202. ISBN 9783540434726.

Magoulas, George and Eldabi, T. and Paul, R.J. (2002) General methodology 3: global search strategies for simulation optimisation. In: Snowdon, J.L. and Charnes, J.M. (eds.) Proceedings of the 34th Winter Simulation Conference: Exploring New Frontiers. IEEE Computational Intelligence Society, pp. 1978-1985. ISBN 0780376145.

Magoulas, George and Plagianakos, V.P. and Vrahatis, M.N. (2002) Globally convergent algorithms with local learning rates. IEEE Transactions on Neural Networks 13 (3), pp. 774-779. ISSN 1045-9227.

Papanikolaou, K.A. and Grigoriadou, M. and Magoulas, George and Kornilakis, H. (2002) Towards new forms of knowledge communication: the adaptive dimension of a web-based learning environment. Computers and Education 39 (4), pp. 333-360. ISSN 0360-1315.

Karkanis, S.A. and Magoulas, George and Iakovidis, D.K. and Maroulis, D.E. and Karras, D.A. (2001) Evaluation of textural feature extraction schemes for neural network-based interpretation of regions in medical images. In: UNSPECIFIED (ed.) Proceedings of the 2001 International Conference on Image Processing: ICIP 2001. IEEE Computational Intelligence Society, pp. 281-284. ISBN 9780780367251.

Papanikolaou, K.A. and Grigoriadou, M. and Kornilakis, H. and Magoulas, George (2001) INSPIRE: an intelligent system for personalized instruction in a remote environment. In: Reich, S. and Tzagarakis, M. and De Bra, P. (eds.) Hypermedia: Openness, Structural Awareness, and Adaptivity. Lecture Notes in Computer Science 2266. Springer, pp. 215-225. ISBN 9783540432937.

Magoulas, George and Prentza, A. (2001) Machine learning in medical applications. In: Paliouras, G. and Karkaletsis, V. and Spyropoulos, C.D. (eds.) Machine Learning and Its Applications, Advanced Lectures. Lecture Notes in Computer Science 2049. Springer, pp. 300-307. ISBN 9783540424901.

Magoulas, George (2001) Model-based design and evaluation of interactive applications. [Book Review]

Ghinea, G. and Magoulas, George (2001) Perceptual considerations for quality of service management: an integrated architecture. In: Bauer, M. and Gmytrasiewicz, P.J. and Vassileva, J. (eds.) User Modeling 2001: 8th International Conference. Lecture Notes in Computer Science 2109. Springer, pp. 234-236. ISBN 9783540423256.

Ghinea, G. and Magoulas, George and Siamitros, C. (2001) Perceptual, considerations in a QoS framework: a fuzzy logic formulation. In: Dugelay, J.-L. and Rose, K. (eds.) Fourth IEEE Workshop on Multimedia Signal Processing: MMSP 2001. IEEE Computational Intelligence Society, pp. 353-358. ISBN 0780370252.

Ghinea, G. and Magoulas, George (2001) Quality of service for perceptual considerations: an integrated perspective. In: UNSPECIFIED (ed.) Proceedings of the 2001 IEEE International Conference on Multimedia and Expo. IEEE Computational Intelligence Society. ISBN 0769511988.

Papanikolaou, K.A. and Magoulas, George and Grigoriadou, M. (2000) Computational intelligence in adaptive educational hypermedia. In: UNSPECIFIED (ed.) Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, IJCNN 2000, Neural Computing: New Challenges and Perspectives for the New Millennium. IEEE Computer Society, pp. 629-636. ISBN 0769506194.

Magoulas, George and Plagianakos, V.P. and Vrahatis, M.N. (2000) Development and convergence analysis of training algorithms with local learning rate adaptation. In: UNSPECIFIED (ed.) Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IEEE Computer Society, pp. 21-26. ISBN 0769506194.

Vrahatis, M.N. and Magoulas, George and Plagianakos, V.P. (2000) Globally convergent modification of the quickprop method. Neural Processing Letters 12 (2), pp. 159-170. ISSN 1370-4621.

Karkanis, S.A. and Iakovidis, D.K. and Maroulis, D.E. and Theofanous, N.G. and Magoulas, George (2000) Tumor recognition in endoscopic video images using artificial neural network architectures. In: UNSPECIFIED (ed.) 26th EUROMICRO 2000 Conference, Informatics: Inventing the Future. IEEE Computer Society. ISBN 0769507808.

Magoulas, George and Vrahatis, M.N. (2000) A class of adaptive learning rate algorithms derived by one-dimensional subminimization methods. Neural, Parallel and Scientific Computations 8 (2), pp. 147-168. ISSN 1061-5369.

Papanikolaou, K.A. and Magoulas, George and Grigoriadou, M. (2000) A connectionist approach for supporting personalized learning in a web-based learning environment. In: Brusilovsky, P. and Stock, O. and Strapparava, C. (eds.) Adaptive Hypermedia and Adaptive Web-Based Systems. Lecture Notes in Computer Science 1892. Springer, pp. 189-201. ISBN 10.1007/3-540-44595-1.

Vrahatis, M.N. and Magoulas, George and Plagianakos, V.P. (1999) Convergence analysis of the quickprop method. In: UNSPECIFIED (ed.) International Joint Conference Neural Networks: IJCNN 1999. IEEE Computer Society, pp. 1209-1214. ISBN 0780355296.

Magoulas, George and Plagianakos, V.P. and Vrahatis, M.N. (1999) Effective neural network training with a different learning rate for each weight. In: UNSPECIFIED (ed.) 6th IEEE International Conference on Electronics, Circuits and Systems. IEEE Computer Society, pp. 591-594. ISBN 0780356829.

Magoulas, George and Vrahatis, M.N. and Androulakis, G.S. (1999) Improving the convergence of the backpropagation algorithm using learning rate adaptation methods. Neural Computation 11 (7), pp. 1769-1796. ISSN 0899-7667.

Karkanis, S.A. and Magoulas, George and Grigoriadou, M. and Karras, D.A. (1999) Neural network based textural labeling of images in multimedia applications. In: UNSPECIFIED (ed.) 25th EUROMICRO '99 Conference, Informatics: Theory and Practice for the New Millenium. IEEE Computer Society. ISBN 0769503217.

Stathacopoulou, R. and Magoulas, George and Grigoriadou, M. (1999) Neural network-based fuzzy modeling of the student in intelligent tutoring systems. In: UNSPECIFIED (ed.) International Joint Conference Neural Networks: IJCNN 1999. IEEE Computer Society, pp. 3517-3521. ISBN 0780355296.

Plagianakos, V.P. and Magoulas, George and Vrahatis, M.N. (1999) Nonmonotone learning rules for backpropagation networks. In: UNSPECIFIED (ed.) 6th IEEE International Conference on Electronics, Circuits and Systems. IEEE Computer Society, pp. 291-294. ISBN 0780356829.

Palgianakos, V.P. and Vrahatis, M.N. and Magoulas, George (1999) Nonmonotone methods for backpropagation training with adaptive learning rate. In: UNSPECIFIED (ed.) International Joint Conference Neural Networks: IJCNN 1999. IEEE Computer Society, pp. 1762-1767. ISBN 0780355296.

Magoulas, George and Plagianakos, V.P. and Vrahatis, M.N. (1999) Sign-methods for training with imprecise error function and gradient values. In: UNSPECIFIED (ed.) International Joint Conference Neural Networks: IJCNN 1999. IEEE Computer Society, pp. 1768-1773. ISBN 0780355296.

Magoulas, George and Papanikolaou, K.A. and Grigoriadou, M. (1999) Towards a computationally intelligent lesson adaptation for a distance learning course. In: UNSPECIFIED (ed.) 11th IEEE International Conference on Tools with Artificial Intelligence. IEEE Computer Society, pp. 5-12. ISBN 0769504566.

Papanikolaou, K.A. and Magoulas, George and Grigoriadou, M. (1999) A connectionist approach for adaptive lesson presentation in a distance learning course. In: UNSPECIFIED (ed.) International Joint Conference Neural Networks: IJCNN 1999. IEEE Computer Society, pp. 3522-3526. ISBN 0780355296.

Magoulas, George and Vrahatis, M.N. and Androulakis, G. (1997) Effective backpropagation training with variable stepsize. Neural Networks 10 (1), pp. 69-82. ISSN 0893-6080.

Magoulas, George and Vrahatis, M.N. and Androulakis, G.S. (1996) A new method in neural network supervised training with imprecision. In: UNSPECIFIED (ed.) Proceedings of Third International Conference on Electronics, Circuits, and Systems: ICECS 1996. IEEE Computer Society, pp. 287-290. ISBN 078033650X.

Michos, S.E. and Magoulas, George and Fakotakis, N. (1995) A hybrid knowledge representation model in a natural language interface to MS-DOS. In: UNSPECIFIED (ed.) Seventh International Conference on Tools with Artificial Intelligence: ICTAI '95. IEEE Computer Society, pp. 480-483. ISBN 0818673125.