Miltos Petridis
Cited by
Cited by
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
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
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
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
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
Research and development in intelligent systems XXVI
XS Yang, M Bramer, R Ellis, M Petridis
Development, Springer, 2010
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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Articles 1–20