| Two hidden layers are usually better than one AJ Thomas, M Petridis, SD Walters, SM Gheytassi, RE Morgan Engineering Applications of Neural Networks: 18th International Conference …, 2017 | 97 | 2017 |
| An efficient deep learning model for intrusion classification and prediction in 5G and IoT networks S Rezvy, Y Luo, M Petridis, A Lasebae, T Zebin 2019 53rd Annual Conference on information sciences and systems (CISS), 1-6, 2019 | 89 | 2019 |
| A case based reasoning approach for the monitoring of business workflows S Kapetanakis, M Petridis, B Knight, J Ma, L Bacon Case-Based Reasoning. Research and Development: 18th International …, 2010 | 58 | 2010 |
| SMARTFIRE: an intelligent CFD based fire model J Ewer, ER Galea, MK Patel, S Taylor, B Knight, M Petridis Journal of Fire Protection Engineering 10 (1), 13-27, 1999 | 58 | 1999 |
| Research and development in intelligent systems XXVI XS Yang, M Bramer, R Ellis, M Petridis Development, Springer, 2010 | 49 | 2010 |
| On predicting the optimal number of hidden nodes AJ Thomas, M Petridis, SD Walters, SM Gheytassi, RE Morgan 2015 international conference on computational science and computational …, 2015 | 47 | 2015 |
| Case-based retrieval of 3-dimensional shapes for the design of metal castings T Mileman, B Knight, M Petridis, D Cowell, J Ewer Journal of Intelligent Manufacturing 13, 39-45, 2002 | 39 | 2002 |
| A survey on design pattern detection approaches MG Al-Obeidallah, M Petridis, S Kapetanakis International Journal of Software Engineering (IJSE) 7 (3), 41-59, 2016 | 38 | 2016 |
| Intelligent design assistant (IDA): a case base reasoning system for material and design P Mejasson, M Petridis, B Knight, A Soper, P Norman Materials & Design 22 (3), 163-170, 2001 | 34 | 2001 |
| Intrusion detection and classification with autoencoded deep neural network S Rezvy, M Petridis, A Lasebae, T Zebin International Conference on Security for Information Technology and …, 2018 | 33 | 2018 |
| Research and development in intelligent systems xxvii: Incorporating applications and innovations in intelligent systems xviii proceedings of ai-2010, the thirtieth sgai … M Bramer, M Petridis, A Hopgood Springer Science & Business Media, 2010 | 33* | 2010 |
| Answering with cases: a CBR approach to deep learning K Amin, S Kapetanakis, KD Althoff, A Dengel, M Petridis Case-Based Reasoning Research and Development: 26th International Conference …, 2018 | 30 | 2018 |
| An investigation on online versus batch learning in predicting user behaviour N Burlutskiy, M Petridis, A Fish, A Chernov, N Ali Research and Development in Intelligent Systems XXXIII: Incorporating …, 2016 | 30 | 2016 |
| Evaluating a case-based reasoning architecture for the intelligent monitoring of business workflows S Kapetanakis, M Petridis Successful Case-based Reasoning Applications-2, 43-54, 2014 | 28 | 2014 |
| Providing Explanations for the Intelligent Monitoring of Business Workflows Using Case-Based Reasoning. S Kapetanakis, M Petridis, J Ma, L Bacon, T Roth-Berghofer, N Tintarev, ... ExaCt, 25-36, 2010 | 25 | 2010 |
| On the optimal node ratio between hidden layers: a probabilistic study A Thomas, S Walters, MM Gheytassi, R Morgan, M Petridis International Journal of Machine Learning and Computing 6 (5), 241-247, 2016 | 24 | 2016 |
| Advanced similarity measures using word embeddings and siamese networks in CBR K Amin, G Lancaster, S Kapetanakis, KD Althoff, A Dengel, M Petridis Intelligent Systems and Applications: Proceedings of the 2019 Intelligent …, 2020 | 23 | 2020 |
| A hybrid CBR approach for the long tail problem in recommender systems G Alshammari, JL Jorro-Aragoneses, S Kapetanakis, M Petridis, ... Case-Based Reasoning Research and Development: 25th International Conference …, 2017 | 23 | 2017 |
| SMARTFIRE: an integrated computational fluid dynamics code and expert system for fire field modelling S Taylor, ER Galea, M Patel, M Petridis, B Knight, J Ewer University of Greenwich, Centre for Numerical Modelling and Process Analysis, 1996 | 21 | 1996 |
| Seen the villains: Detecting social engineering attacks using case-based reasoning and deep learning M Lansley, N Polatidis, S Kapetanakis, K Amin, G Samakovitis, M Petridis CEUR 2567, 39-48, 2019 | 20 | 2019 |
