| Modeling pulsed laser micromachining of micro geometries using machine-learning techniques D Teixidor, M Grzenda, A Bustillo, J Ciurana Journal of Intelligent Manufacturing 26 (4), 801-814, 2015 | 72 | 2015 |
| The evolutionary development of roughness prediction models M Grzenda, A Bustillo Applied Soft Computing 13 (5), 2913-2922, 2013 | 42 | 2013 |
| Delayed labelling evaluation for data streams M Grzenda, HM Gomes, A Bifet Data Mining and Knowledge Discovery 34 (5), 1237-1266, 2020 | 37 | 2020 |
| A soft computing system using intelligent imputation strategies for roughness prediction in deep drilling M Grzenda, A Bustillo, P Zawistowski Journal of Intelligent Manufacturing 23 (5), 1733-1743, 2012 | 37 | 2012 |
| A survey on semi-supervised learning for delayed partially labelled data streams HM Gomes, M Grzenda, R Mello, J Read, MH Le Nguyen, A Bifet ACM Computing Surveys 55 (4), 1-42, 2022 | 33 | 2022 |
| Semi-supervised roughness prediction with partly unlabeled vibration data streams M Grzenda, A Bustillo Journal of Intelligent Manufacturing 30 (2), 933-945, 2019 | 32 | 2019 |
| Improvement of surface roughness models for face milling operations through dimensionality reduction M Grzenda, A Bustillo, G Quintana, J Ciurana Integrated Computer-Aided Engineering 19 (2), 179-197, 2012 | 25 | 2012 |
| Interpreting tree-based prediction models and their data in machining processes A Bustillo, M Grzenda, B Macukow Integrated Computer-Aided Engineering 23 (4), 349-367, 2016 | 24 | 2016 |
| IoT Architecture for Urban Data-Centric Services and Applications M Luckner, M Grzenda, R Kunicki, J Legierski ACM Transactions on Internet Technology (TOIT) 20 (3), 1-30, 2020 | 19 | 2020 |
| Towards increased understanding of open data use for software development M Grzenda, J Legierski Information Systems Frontiers 23 (2), 495-513, 2021 | 15 | 2021 |
| The adoption of open data and open API telecommunication functions by software developers S Grabowski, M Grzenda, J Legierski Business Information Systems: 18th International Conference, BIS 2015 …, 2015 | 15 | 2015 |
| Demand prediction with multi-stage neural processing M Grzenda, B Macukow Advances in Natural Computation and Data Mining 131, 141, 2006 | 14 | 2006 |
| Performance measures for evolving predictions under delayed labelling classification M Grzenda, HM Gomes, A Bifet 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 13 | 2020 |
| Modelowanie systemu dystrybucji wody na przykładzie dużej aglomeracji miejskiej M Grzenda, M Sudoł, W Gębski Gaz, woda i technika sanitarna, 2-6, 2010 | 13 | 2010 |
| On the prediction of floor identification credibility in RSS-based positioning techniques M Grzenda International Conference on Industrial, Engineering and Other Applications …, 2013 | 12 | 2013 |
| Hybrid short term prediction to address limited timeliness of public transport data streams M Grzenda, K Kwasiborska, T Zaremba Neurocomputing 391, 305-317, 2020 | 10 | 2020 |
| Heat consumption prediction with multiple hybrid models M Grzenda, B Macukow International Work-Conference on Artificial Neural Networks, 1213-1221, 2009 | 10 | 2009 |
| Pozyskanie i przetwarzanie danych na potrzeby modelowania pracy sieci M Grzenda Gaz, woda i technika sanitarna, 16-19, 2009 | 10 | 2009 |
| Dynamic transfer patterns for fast multi-modal route planning T Liebig, S Peter, M Grzenda, K Junosza-Szaniawski The Annual International Conference on Geographic Information Science, 223-236, 2017 | 9 | 2017 |
| Towards the reduction of data used for the classification of network flows M Grzenda International Conference on Hybrid Artificial Intelligence Systems, 68-77, 2012 | 9 | 2012 |
Bohdan MacukowPolitechnika Warszawska在 mini.pw.edu.pl 的电子邮件经过验证
