| Automatic composition and optimisation of multicomponent predictive systems MM Salvador, M Budka, B Gabrys arXiv preprint arXiv:1612.08789, 2016 | 45* | 2016 |
| Automatic Composition and Optimization of Multicomponent Predictive Systems With an Extended Auto-WEKA MM Salvador, M Budka, B Gabrys IEEE Transactions on Automation Science and Engineering 16 (2), 946-959, 2018 | 43 | 2018 |
| Towards automatic composition of multicomponent predictive systems M Martin Salvador, M Budka, B Gabrys Hybrid Artificial Intelligent Systems: 11th International Conference, HAIS …, 2016 | 29 | 2016 |
| Adapting Multicomponent Predictive Systems using Hybrid Adaptation Strategies with Auto-WEKA in Process Industry MM Salvador, M Budka, B Gabrys AutoML 2016. International Conference on Machine Learning, 2016 | 24 | 2016 |
| From sensor readings to predictions: On the process of developing practical soft sensors M Budka, M Eastwood, B Gabrys, P Kadlec, M Martin Salvador, S Schwan, ... Advances in Intelligent Data Analysis XIII: 13th International Symposium …, 2014 | 19 | 2014 |
| eRules: a modular adaptive classification rule learning algorithm for data streams F Stahl, MM Gaber, MM Salvador Research and Development in Intelligent Systems XXIX: Incorporating …, 2012 | 17 | 2012 |
| Online Detection of Shutdown Periods in Chemical Plants: A Case Study MM Salvador, B Gabrys, I Žliobaitė Procedia Computer Science 35, 580-588, 2014 | 12 | 2014 |
| Automatic Transport Network Matching Using Deep Learning MM Salvador, M Budka, T Quay Transportation Research Procedia 31, 67-73, 2018 | 11 | 2018 |
| Modelling Multi-Component Predictive Systems as Petri Nets MM Salvador, M Budka, B Gabrys 15th Annual Industrial Simulation Conference, 17-23, 2017 | 11 | 2017 |
| Effects of change propagation resulting from adaptive preprocessing in multicomponent predictive systems MM Salvador, M Budka, B Gabrys KES-2016. 20th International Conference on Knowledge-Based and Intelligent …, 2016 | 11 | 2016 |
| Automatic and adaptive preprocessing for the development of predictive models MM Salvador Bournemouth University, 2017 | 6 | 2017 |
| Variables que contribuyen a conseguir unas pymes hoteleras más sostenibles MDC Pérez López, AM Plata Díaz, M Martín-Salvador, G López-Pérez | 1 | 2023 |
| A machine learning approach to classifying sustainability practices in hotel management MC Pérez López, AM Plata Díaz, M Martin Salvador, G López Pérez Journal of Sustainable Tourism, 1-22, 2024 | | 2024 |
| Sustainable hotel management: A machine learning approach to classifying Spanish hotels MC Pérez López, AM Plata Díaz, M Martín Salvador, G López Pérez I International Conference on Sustainable Finance (ICSF23), 2023 | | 2023 |
| Improving transport timetables usability for mobile devices: a case study MM Salvador, M Budka, T Quay, A Carver-Smith 11th International Conference on the Practice and Theory of Automated …, 2016 | | 2016 |
| Tactile satellite navigation system: Using haptic technology to enhance the sense of orientation and direction JW Schroeder, M Martin-Salvador, R Bakirov, U Straus 66th International Astronautical Congress 5, 3364-3371, 2015 | | 2015 |
Marcin BudkaData Scientist, Bournemouth UniversityVerified email at bournemouth.ac.uk
