| A comparative review of microservices and monolithic architectures O Al-Debagy, P Martinek 2018 IEEE 18th International Symposium on Computational Intelligence and …, 2018 | 176 | 2018 |
| Analysing machine learning techniques for predicting the hole-filling in pin-in-paste technology P Martinek, O Krammer Computers & Industrial Engineering 136, 187-194, 2019 | 33 | 2019 |
| Extracting microservices’ candidates from monolithic applications: interface analysis and evaluation metrics approach O Al-Debagy, P Martinek 2020 IEEE 15th international conference of system of systems engineering …, 2020 | 28 | 2020 |
| A microservice decomposition method through using distributed representation of source code O Al-Debagy, P Martinek Scalable Computing: Practice and Experience 22 (1), 39-52, 2021 | 26 | 2021 |
| A new decomposition method for designing microservices O Al-Debagy, P Martinek Periodica Polytechnica Electrical Engineering and Computer Science 63 (4 …, 2019 | 21 | 2019 |
| Detecting semantically related concepts in a SOA integration scenario P Martinek, B Szikora Periodica Polytechnica Electrical Engineering (Archives) 52 (1-2), 117-125, 2008 | 21 | 2008 |
| Optimising pin-in-paste technology using gradient boosted decision trees P Martinek, O Krammer Soldering & Surface Mount Technology 30 (3), 164-170, 2018 | 19 | 2018 |
| Evaluation of data storage patterns in microservices archicture K Munonye, P Martinek 2020 IEEE 15th International Conference of System of Systems Engineering …, 2020 | 17 | 2020 |
| Machine learning approach to vulnerability detection in OAuth 2.0 authentication and authorization flow K Munonye, M Péter International Journal of Information Security 21 (2), 223-237, 2022 | 16 | 2022 |
| A metrics framework for evaluating microservices architecture designs O Al-Debagy, P Martinek Journal of Web Engineering 19 (3–4), 341-370, 2020 | 11 | 2020 |
| Machine learning-based prediction of component self-alignment in vapour phase and infrared soldering O Krammer, P Martinek, B Illes, L Jakab Soldering & Surface Mount Technology 31 (3), 163-168, 2019 | 11 | 2019 |
| Performance analysis of the microsoft. Net-and java-based implementation of REST web services K Munonye, P Martinek 2018 IEEE 16th International Symposium on Intelligent Systems and …, 2018 | 11 | 2018 |
| A framework for schema matcher composition B Villanyi, P Martinek, B Szikora WSEAS transactions on computers 9 (10), 1235-1244, 2010 | 11 | 2010 |
| Calibration and comparison of schema matchers P Martinek, B Villanyi, B Szikora WSEAS Transactions on Mathematics 8 (9), 489-499, 2009 | 11 | 2009 |
| Quality management and workflow control in printed circuit board production at the TU Budapest P Martinek 27th International Spring Seminar on Electronics Technology: Meeting the …, 2004 | 10 | 2004 |
| Predicting component self-alignment by machine learning technique P Martinek, O Krammer, AG Farkas 2018 41st International Spring Seminar on Electronics Technology (ISSE), 1-6, 2018 | 9 | 2018 |
| Production plan scheduling on SMT manufacturing lines GÁ Farkas, P Martinek 2017 IEEE 23rd International Symposium for Design and Technology in …, 2017 | 9 | 2017 |
| Method for validating CT length measurement of cracks inside solder joints T Garami, O Krammer, G Harsányi, P Martinek Soldering & Surface Mount Technology 28 (1), 13-17, 2016 | 9 | 2016 |
| Dependencies-based microservices decomposition method O Al-Debagy, P Martinek International Journal of Computers and Applications 44 (9), 814-821, 2022 | 8 | 2022 |
| Predicting the transfer efficiency of stencil printing by machine learning technique O Krammer, T Al-Ma’aiteh, P Martinek, K Anda, N Balogh 2020 43rd International Spring Seminar on Electronics Technology (ISSE), 1-6, 2020 | 8 | 2020 |
