Folgen
Maciej Grzenda
Titel
Zitiert von
Zitiert von
Jahr
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
722015
The evolutionary development of roughness prediction models
M Grzenda, A Bustillo
Applied Soft Computing 13 (5), 2913-2922, 2013
422013
Delayed labelling evaluation for data streams
M Grzenda, HM Gomes, A Bifet
Data Mining and Knowledge Discovery 34 (5), 1237-1266, 2020
372020
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
372012
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
342022
Semi-supervised roughness prediction with partly unlabeled vibration data streams
M Grzenda, A Bustillo
Journal of Intelligent Manufacturing 30 (2), 933-945, 2019
332019
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
252012
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
242016
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
192020
Towards increased understanding of open data use for software development
M Grzenda, J Legierski
Information Systems Frontiers 23 (2), 495-513, 2021
152021
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
152015
Demand prediction with multi-stage neural processing
M Grzenda, B Macukow
Advances in Natural Computation and Data Mining 131, 141, 2006
142006
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
132020
Modelowanie systemu dystrybucji wody na przykładzie dużej aglomeracji miejskiej
M Grzenda, M Sudoł, W Gębski
Gaz, woda i technika sanitarna, 2-6, 2010
132010
On the prediction of floor identification credibility in RSS-based positioning techniques
M Grzenda
International Conference on Industrial, Engineering and Other Applications …, 2013
122013
Hybrid short term prediction to address limited timeliness of public transport data streams
M Grzenda, K Kwasiborska, T Zaremba
Neurocomputing 391, 305-317, 2020
102020
Heat consumption prediction with multiple hybrid models
M Grzenda, B Macukow
Distributed Computing, Artificial Intelligence, Bioinformatics, Soft …, 2009
102009
Pozyskanie i przetwarzanie danych na potrzeby modelowania pracy sieci
M Grzenda
Gaz, woda i technika sanitarna, 16-19, 2009
102009
Dynamic transfer patterns for fast multi-modal route planning
T Liebig, S Peter, M Grzenda, K Junosza-Szaniawski
Societal Geo-innovation: Selected papers of the 20th AGILE conference on …, 2017
92017
Towards the reduction of data used for the classification of network flows
M Grzenda
Hybrid Artificial Intelligent Systems: 7th International Conference, HAIS …, 2012
92012
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20