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2003
O'Neill, P. and Magoulas, George D. and Liu, X. (2003) Improved processing of microarray data using image reconstruction techniques. IEEE Transactions on Nanobioscience 2 (4), pp. 176-183. ISSN 1536-1241.
2004
Magoulas, George D. and Plagianakos, V.P. and Vrahatis, M.N. (2004) Neural network-based colonoscopic diagnosis using on-line learning and differential evolution. Applied Soft Computing 4 (4), pp. 369-379. ISSN 1568-4946.
2005
Ghinea, G. and Magoulas, George D. and Siamitros, C. (2005) Intelligent synthesis mechanism for deriving streaming priorities of multimedia content. IEEE Transactions on Multimedia 7 (6), 1047 -1053. ISSN 1520-9210.
Frias-Martinez, E. and Magoulas, George D. and Chen, S. and Macredie, R. (2005) Modeling human behavior in user-adaptive systems: recent advances using soft computing techniques. Expert Systems with Applications 29 (2), pp. 320-329. ISSN 0957-4174.
Ghinea, G. and Magoulas, George D. and Siamitros, C. (2005) Multicriteria decision making for enhanced perception-based multimedia communication. IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans 35 (6), 855 -866. ISSN 1083-4427.
Stathacopoulou, R. and Magoulas, George D. and Grigoriadou, M. and Samarakou, M. (2005) Neuro-fuzzy knowledge processing in intelligent learning environments for improved student diagnosis. Information Sciences 170 (2-4), pp. 273-307. ISSN 0020-0255.
2006
Plagianakos, V.P. and Magoulas, George D. and Vrahatis, M.N. (2006) Distributed computing methodology for training neural networks in an image-guided diagnostic application. Computer Methods and Programs in Biomedicine 81 (3), pp. 228-235. ISSN 0169-2607.
Anastasiadis, A.D. and Magoulas, George D. (2006) Evolving stochastic learning algorithm based on Tsallis entropic index. The European Physical Journal B - Condensed Matter and Complex Systems 50 (1-2), pp. 277-283. ISSN 1434-6028.
Anastasiadis, A.D. and Magoulas, George D. and Vrahatis, M.N. (2006) Improved sign-based learning algorithm derived by the composite nonlinear Jacobi process. Journal of Computational and Applied Mathematics 191 (2), pp. 166-178. ISSN 0377-0427.
August 2007
Magoulas, George D. and Ghinea, G. (2007) Intelligence-based adaptation for ubiquitous multimedia communications. Journal of Network and Computer Applications 30 (3), 955 - 957. ISSN 1084-8045.
2008
Magoulas, George D. and Cocea, Mihaela and Gutierrez-Santos, Sergio (2008) Challenges for intelligent support in exploratory learning: the case of ShapeBuilder. In: 1st International Workshop on Intelligent Support for Exploratory Environments - in conjunction with third European Conference on Technology-Enhanced Learning, September 17-19, 2008, Maastricht, Netherlands.
Anastasiadis, A.D. and Magoulas, George D. (2008) Particle swarms and nonextensive statistics for nonlinear optimisation. The Open Cybernetics & Systemics Journal 2 , pp. 173-179. ISSN 1874-110X.
Lewis, T.E. and Magoulas, George D. (2008) Tread: a new genetic programming representation aimed at research of long term complexity growth. In: UNSPECIFIED (ed.) Proceedings of the 10th annual conference on genetic and evolutionary computation. New York, USA: Association for Computing Machinery, pp. 1339-1340. ISBN 9781605581309.
Labeke, N. and Poulovassilis, Alexandra and Magoulas, George D. (2008) Using similarity metrics for matching lifelong learners. In: Woolf, B. and Aimeur, E. and Nkambou, R. and Lajoie, S. (eds.) Intelligent Tutoring Systems. Lecture Notes in Computer Science 5091. Berlin, Germany: Springer Verlag, pp. 142-151. ISBN 9783540691327.
March 2008
de Freitas, Sara and Harrison, I. and Magoulas, George D. and Papamarkos, G. and Poulovassilis, Alexandra and van Labeke, N. and Mee, A. and Oliver, M. (2008) L4All: a web-service based system for lifelong learners. In: Salerno, S. and Gaeta, M. and Ritrovato, P. and Capuano, N. and Orciuoli, F. and Miranda, S. and Pierri, A. (eds.) The Learning Grid Handbook: Concepts, Technologies and Applications: The Future of Learning. Amsterdam, The Netherlands: IOS Press, pp. 143-155. ISBN 9781586038298.
22 July 2008
Magoulas, George D. and Cocea, Mihaela (2008) Combining intelligent methods for learner modelling in exploratory learning environments. In: 1st International Workshop on Combinations of Intelligent Methods and Applications - in conjunction with the 18th European Conference on Artificial Intelligence, July 21-22, 2008, Patras, Greece.
October 2008
Peng, C.C. and Magoulas, George D. (2008) Advanced adaptive nonmonotone conjugate gradient training algorithm for recurrent neural networks. International Journal of Artificial Intelligence Tools 17 (5), pp. 963-984. ISSN 0218-2130.
2009
Cocea, Mihaela and Magoulas, George D. (2009) Context-dependent personalised feedback prioritisation in exploratory learning for mathematical generalisation. In: Houben, G.-J. and McCalla, G. and Pianesi, F. and Zancanaro, M. (eds.) User Modeling, Adaptation, and Personalization. Berlin, Germany: Springer Verlag, pp. 271-282. ISBN 9783642022463.
de Freitas, Sara and Rebolledo-Mendez, G. and Liarokapis, F. and Magoulas, George D. and Poulovassilis, Alexandra (2009) Developing an evaluation methodology for immersive learning experiences in a virtual world. In: UNSPECIFIED (ed.) Conference in Games and Virtual Worlds for Serious Applications. New York, USA: Institute of Electrical and Electronics Engineers, pp. 43-50. ISBN 9780769535883.
Charlton, P. and Grigoriadou, M. and Laurillard, D. and Magoulas, George D. (2009) Enabling creative learning design: how HCI, user modelling and human factors help. In: Dimitrova, V. and Mizoguchi, R. and du Boulay, B. and Graesser, A. (eds.) Artificial Intelligence in Education. Frontiers in Artificial Intelligence and Applications 200. Amsterdam, Netherlands: IOS Press, p. 813. ISBN 9781607500285813.
Cocea, Mihaela and Magoulas, George D. (2009) Hybrid model for learner modelling and feedback prioritisation in exploratory learning. International Journal of Hybrid Intelligent Systems 6 (4), pp. 211-230. ISSN 1448-5869.
Cocea, Mihaela and Magoulas, George D. (2009) Identifying strategies in user's exploratory learning behaviour for mathematical generalisation. In: UNSPECIFIED (ed.) Artificial Intelligence in Education. Frontiers in Artificial Intelligence and Applications 200. Amsterdam, Netherlands: IOS Press, pp. 626-628. ISBN 9781607500285626.
Dimakopoulos, D.N. and Magoulas, George D. (2009) Interface design and evaluation of a personal information space for mobile learners. International Journal of Mobile Learning and Organisation 3 (4), pp. 440-463. ISSN 1746-725X.
Peng, C.C. and Magoulas, George D. (2009) Nonmonotone learning of recurrent neural networks in symbolic sequence processing applications. pp. 325-335. ISSN 1865-0929.
Labeke, N. and Magoulas, George D. and Poulovassilis, Alexandra (2009) Searching for “people like me” in a lifelong learning system. In: Cress, U. and Dimitrova, V. and Specht, M. (eds.) Learning in the Synergy of Multiple Disciplines. Lecture Notes in Computer Science 5794. Berlin, Germany: Springer Verlag, pp. 106-111. ISBN 9783642046360.
Peng, C.C. and Magoulas, George D. (2009) Sequence processing with recurrent neural networks. In: Rabuñal Dopico, J.R. and Dorado, J. and Pazos, A. (eds.) Encyclopedia of Artificial Intelligence. Hershey, U.S.: IGI Global, pp. 1411-1417. ISBN 9781599048499.
Lewis, T.E. and Magoulas, George D. (2009) Strategies to minimise the total run time of cyclic graph based genetic programming with GPUs. In: UNSPECIFIED (ed.) Proceedings of the 11th Annual conference on Genetic and evolutionary computation - GECCO '09. New York, U.S.: ACM Press, pp. 1379-1386. ISBN 9781605583259.
Dimakopoulos, D.N. and Magoulas, George D. (2009) An architecture for a personalised mobile environment to facilitate contextual lifelong learning. In: Ryu, H. and Parsons, D. (eds.) Innovative Mobile Learning: Techniques and Technologies. Hershey, U.S.: IGI Global, pp. 232-254. ISBN 9781605660622.
Pearce, D. and Geraniou, E. and Gutierrez-Santos, Sergio and Mavrikis, M. and Cocea, Mihaela and Hoyles, C. and Kahn, K. and Magoulas, George D. and Noss, R. and Poulovassilis, Alexandra and Winters, N. (2009) An eco-friendly intelligent environment for exploring mathematical generalisation. In: Dimitrova, V. and Mizoguchi, R. and du Boulay, B. and Graesser, A. (eds.) Building Learning Systems that Care: From Knowledge Representation to Affective Modelling. Frontiers in Artificial Intelligence and Applications: Artificial Intelligence in Education 200. Amsterdam, Netherlands: IOS Press, p. 804. ISBN 9781607500285.
June 2009
Magoulas, George D. and Papaioannou, D. and Papadimou, E. and Drainas, D. (2009) Preparation of spermine conjugates with acidic retinoids with potent ribonuclease P inhibitory activity. European Journal of Medicinal Chemistry 44 (6), pp. 2689-2695. ISSN 0223-5234.
7 July 2009
Magoulas, George D. and Cocea, Mihaela (2009) Task-oriented modeling of learner behaviour in exploratory learning for mathematical generalisation. In: 2nd International Workshop on Intelligent Support for Exploratory Environments - in conjunction with the 14th International Conference on Artificial Intelligence in Education, July 6-7, 2009, Brighton, UK. (Unpublished)
August 2009
Sadikoglou, E. and Magoulas, George D. and Theodoropoulou, C. and Athanassopoulos, C.M. and Giannopoulou, E. and Theodorakopoulou, O. and Drainas, D. and Papaioannou, D. and Papadimitriou, E. (2009) Effect of conjugates of all-trans-retinoic acid and shorter polyene chain analogues with amino acids on prostate cancer cell growth. European Journal of Medicinal Chemistry 44 (8), pp. 3175-3187. ISSN 0223-5234.
15 December 2009
Magoulas, George D. and Cocea, Mihaela and Gutierrez-Santos, Sergio (2009) Enhancing modelling of users’ strategies in exploratory learning through case-base maintenance. In: 14th UK Workshop on Case-Based Reasoning, December 15, 2009, Cambridge, UK. (Unpublished)
2010
Cocea, Mihaela and Gutierrez-Santos, Sergio and Magoulas, George D. (2010) Adaptive modelling of users’ strategies in exploratory learning using case-based reasoning. In: Rossitza, S. and Ivan, J. (eds.) Knowledge-Based and Intelligent Information and Engineering Systems. Lecture Notes in Computer Science 2 6277. Berlin, Germany: Springer Verlag, pp. 124-134. ISBN 9783642153907.
Charlton, P. and Magoulas, George D. (2010) Autonomic computing and ontologies to enable context-aware learning design. In: UNSPECIFIED (ed.) IEEE International Conference on Tools with Artificial Intelligence. New York, USA: Institute of Electrical and Electronics Engineers, pp. 286-291. ISBN 9781424488179.
Cocea, Mihaela and Magoulas, George D. (2010) Group formation for collaboration in exploratory learning using group technology techniques. In: Setchi, R. and Jordanov, I. (eds.) Knowledge-Based and Intelligent Information and Engineering Systems. Berlin, Germany: Springer Verlag, pp. 103-113. ISBN 9783642153891.
Roussos, George and Musolesi, M. and Magoulas, George D. (2010) Human behavior in ubiquitous environments: experience and interaction design. Pervasive and Mobile Computing 6 (5), pp. 497-498. ISSN 1574-1192.
Cocea, Mihaela and Magoulas, George D. (2010) Identifying user strategies in exploratory learning with evolving task modelling. In: UNSPECIFIED (ed.) Intelligent Systems. New York, USA: Institute of Electrical and Electronics Engineers, pp. 13-18. ISBN 9781424451630.
Roussos, George and Musolesi, M. and Magoulas, George D. (2010) Introduction. Pervasive and Mobile Computing 6 (4), pp. 399-400. ISSN 1574-1192.
Gutierrez-Santos, Sergio and Mavrikis, M. and Magoulas, George D. (2010) Layered development and evaluation for intelligent support in exploratory environments: the case of microworlds. In: Aleven, V. and Kay, J. and Mostow, J. (eds.) Intelligent Tutoring Systems. Lecture Notes in Computer Science 1 6094. New York, U.S.: Springer, pp. 105-114. ISBN 9783642133886.
Charlton, P. and Magoulas, George D. (2010) Self-configurable framework for enabling context-aware learning design. In: UNSPECIFIED (ed.) IEEE International Conference Intelligent Systems. New York, USA: Institute of Electrical and Electronics Engineers, pp. 1-6. ISBN 9781424451630.
Gutierrez-Santos, Sergio and Mavrikis, M. and Magoulas, George D. (2010) Sequence detection for adaptive feedback generation in an exploratory environment for mathematical generalisation. In: Dicheva, D. and Dochev, D. (eds.) Artificial Intelligence: Methodology, Systems, and Applications. Lecture Notes in Computer Science 6304. Berlin, Germany: Springer Verlag, pp. 181-190. ISBN 9783642154300.
Lewis, T.E. and Magoulas, George D. (2010) Tweaking a tower of blocks leads to a TMBL: pursuing long term fitness growth in program evolution. In: UNSPECIFIED (ed.) IEEE Congress on Evolutionary Computation. New York, USA: Institute of Electrical and Electronics Engineers, pp. 1-8. ISBN 9781424469093.
Gutierrez-Santos, Sergio and Cocea, Mihaela and Magoulas, George D. (2010) A case-based reasoning approach to provide adaptive feedback in microworlds. In: Aleven, V. and Kay, J. and Mostow, J. (eds.) Intelligent Tutoring Systems. Lecture Notes in Computer Science 2 6095. New York, U.S.: Springer, pp. 330-333. ISBN 9783642134364.
January 2010
de Freitas, Sara and Rebolledo-Mendez, G. and Liarokapis, F. and Magoulas, George D. and Poulovassilis, Alexandra (2010) Learning as immersive experiences: using the four-dimensional framework for designing and evaluating immersive learning experiences in a virtual world. British Journal of Educational Technology 41 (1), pp. 69-85. ISSN 0007-1013.
2011
Cocea, Mihaela and Magoulas, George D. (2011) Context-dependent feedback prioritisation in exploratory learning revisited. In: Konstan, J. and Conejo, R. and Marzo, J.L. and Oliver, N. (eds.) User Modeling, Adaption and Personalization. Lecture Notes in Computer Science 6787. Berlin, Germany: Springer Verlag, pp. 62-74. ISBN 9783642223624.
Magoulas, George D. (2011) E-infrastructures and technologies for lifelong learning: next generation environments. Hershey, U.S.: IGI Global. ISBN 9781615209835.
Lewis, T.E. and Magoulas, George D. (2011) Identifying similarities in TMBL programs with alignment to quicken their compilation for GPUs. In: UNSPECIFIED (ed.) Proceedings of the 13th Annual Conference Companion on Genetic and Evolutionary Computation. New York, USA: Association for Computing Machinery, pp. 447-454. ISBN 9781450306904.
Peng, C.C. and Magoulas, George D. (2011) Nonmonotone Levenberg–Marquardt training of recurrent neural architectures for processing symbolic sequences. Neural Computing and Applications 20 (6), pp. 897-908. ISSN 0941-0643.
Lewis, T.E. and Magoulas, George D. (2011) TMBL kernels for CUDA GPUs compile faster using PTX. In: UNSPECIFIED (ed.) Proceedings of the 13th annual conference companion on Genetic and evolutionary computation - GECCO '11. New York, USA: Association for Computing Machinery, pp. 455-462. ISBN 9781450306904.
15 February 2011
Peng, C.C. and Magoulas, George D. (2011) Nonmonotone BFGS-trained recurrent neural networks for temporal sequence processing. Applied Mathematics and Computation 217 (12), pp. 5421-5441. ISSN 0096-3003.
2012
Charlton, P. and Magoulas, George D. and Laurillard, D. (2012) Enabling creative learning design through semantic technologies. Technology, Pedagogy and Education 21 (2), pp. 231-253. ISSN 1475-939X.
Kohli, M. and Magoulas, George D. and Thomas, Michael S.C. (2012) Hybrid computational model for producing English past tense verbs. In: Jayne, C. and Yue, S. and Iliadis, L.S. (eds.) Engineering Applications of Neural Networks: 13th International Conference. Communications in Computer and Information Science 311. Springer. ISBN 9783642329098.
Cocea, Mihaela and Magoulas, George D. (2012) Learning task-related strategies from user data through clustering. In: UNSPECIFIED (ed.) International Conference on Advanced Learning Technologies. New York, USA: Institute of Electrical and Electronics Engineers, pp. 400-404. ISBN 9781467316422.
August 2012
Cocea, Mihaela and Magoulas, George D. (2012) User behaviour-driven group formation through case-based reasoning and clustering. Expert Systems with Applications 39 (10), pp. 8756-8768. ISSN 0957-4174.
Noss, R. and Poulovassilis, Alexandra and Geraniou, E. and Gutierrez-Santos, Sergio and Hoyles, C. and Kahn, K. and Magoulas, George D. and Mavrikis, M. (2012) The design of a system to support exploratory learning of algebraic generalisation. Computers & Education 59 (1), pp. 63-81. ISSN 0360-1315.
2013
Kohli, M. and Magoulas, George D. and Thomas, Michael S.C. (2013) Transfer learning across heterogeneous tasks using behavioural genetic principles. In: Jin, Y. (ed.) 13th UK Workshop on Computational Intelligence (UKCI). IEEE, pp. 151-158. ISBN 9781479915668.
February 2013
Laurillard, D. and Charlton, P. and Craft, B. and Dimakopoulos, D.N. and Ljubojevic, D. and Magoulas, George D. and Masterman, E. and Pujadas, R. and Whitley, E.A. and Whittlestone, K. (2013) A constructionist learning environment for teachers to model learning designs. Journal of Computer Assisted Learning 29 (1), pp. 15-30. ISSN 0266-4909.
June 2014
Adam, S.P. and Karras, D.A. and Magoulas, George D. and Vrahatis, M.N. (2014) Solving the linear interval tolerance problem for weight initialization of neural networks. Neural Networks 54 , pp. 17-37. ISSN 0893-6080.
12 July 2015
Adam, S.P. and Karras, D.A. and Magoulas, George D. and Vrahatis, M.N. (2015) Reliable estimation of a neural network’s domain of validity through interval analysis based inversion. In: 2015 International Joint Conference on Neural Networks (IJCNN), 12-17 July 2015, Killarney.
10 November 2015
Cocea, Mihaela and Magoulas, George D. (2015) Participatory learner modelling design: a methodology for iterative learner models development. Information Sciences 321 , pp. 48-70. ISSN 0020-0255.
2016
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.
April 2016
Wells, M. and Wollenschlaeger, Alex and Lefevre, D. and Magoulas, George D. and Poulovassilis, Alexandra (2016) Analysing engagement in an online management programme and implications for course design. In: UNSPECIFIED (ed.) LAK '16 Proceedings of the Sixth International Conference on Learning Analytics & Knowledge. New York, U.S.: Association for Computing Machinery. ISBN 9781450341905.
August 2016
Sikora, T.D. and Magoulas, George D. (2016) Evolutionary approaches to signal decomposition in an application service management system. Soft Computing 20 (8), pp. 3063-3084. ISSN 1432-7643.
16 September 2016
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.
17 September 2016
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.
1 October 2016
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.
December 2016
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.
2017
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.
2 February 2017
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.
3 April 2017
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.
2018
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.
January 2018
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.
17 January 2018
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.
5 December 2018
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.
11 December 2018
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.
9 September 2019
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.
1 May 2020
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.
2021
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.
24 January 2021
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.
2022
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.