M. Grzenda

Most-cited papers

A Survey on Semi-supervised Learning for Delayed Partially Labelled Data Streams
Heitor Murilo Gomes, M. Grzenda, R. F. de Mello, Jesse Read +2 more
2021ACM Computing Surveys76 citations Open access
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Modeling pulsed laser micromachining of micro geometries using machine-learning techniques
Daniel Teixidor, M. Grzenda, A. Bustillo, J. Ciurana
2013Journal of Intelligent Manufacturing68 citations Open access
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The evolutionary development of roughness prediction models
M. Grzenda, A. Bustillo
2013Applied Soft Computing45 citations
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Delayed labelling evaluation for data streams
M. Grzenda, Heitor Murilo Gomes, A. Bifet
2019Data mining and knowledge discovery38 citations Open access
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A soft computing system using intelligent imputation strategies for roughness prediction in deep drilling
M. Grzenda, A. Bustillo, P. Zawistowski
2012Journal of Intelligent Manufacturing36 citations Open access
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Semi-supervised roughness prediction with partly unlabeled vibration data streams
M. Grzenda, A. Bustillo
2018Journal of Intelligent Manufacturing33 citations Open access
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Improvement of surface roughness models for face milling operations through dimensionality reduction
M. Grzenda, A. Bustillo, G. Quintana, J. Ciurana
2012Integr. Comput. Aided Eng.24 citations
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IoT Architecture for Urban Data-Centric Services and Applications
Marcin Luckner, M. Grzenda, Robert Kunicki, J. Legierski
2020ACM Trans. Internet Techn.19 citations
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Interpreting tree-based prediction models and their data in machining processes
A. Bustillo, M. Grzenda, B. Macukow
2016Integr. Comput. Aided Eng.19 citations
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Towards Increased Understanding of Open Data Use for Software Development
M. Grzenda, J. Legierski
2019Information Systems Frontiers14 citations Open access
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On the Prediction of Floor Identification Credibility in RSS-Based Positioning Techniques
M. Grzenda
2013International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems12 citations
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The Adoption of Open Data and Open API Telecommunication Functions by Software Developers
Sebastian Grabowski, M. Grzenda, J. Legierski
2015Business Information Systems11 citations
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Hybrid short term prediction to address limited timeliness of public transport data streams
M. Grzenda, Karolina Kwasiborska, Tomasz Zaremba
2020Neurocomputing10 citations
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Evaluation of machine learning methods for impostor detection in web applications
M. Grzenda, S. Kaźmierczak, Marcin Luckner, G. Borowik +1 more
2023Expert systems with applications9 citations
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Performance measures for evolving predictions under delayed labelling classification
M. Grzenda, Heitor Murilo Gomes, A. Bifet
2020IEEE International Joint Conference on Neural Network8 citations Open access
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Dynamic Transfer Patterns for Fast Multi-modal Route Planning
T. Liebig, Sebastian Peter, M. Grzenda, K. Junosza-Szaniawski
2017AGILE Conf.8 citations
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On the testing of network cyber threat detection methods on spam example
Robert Filasiak, M. Grzenda, Marcin Luckner, P. Zawistowski
2014Ann. des Télécommunications8 citations Open access
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Towards the Reduction of Data Used for the Classification of Network Flows
M. Grzenda
2012Hybrid Artificial Intelligence Systems8 citations
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Heat Consumption Prediction with Multiple Hybrid Models
M. Grzenda, B. Macukow
2009International Work-Conference on Artificial and Natural Neural Networks8 citations
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Pozyskanie i przetwarzanie danych na potrzeby modelowania pracy sieci
M. Grzenda
20098 citations
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Load Prediction Using Combination of Neural Networks and Simple Strategies
M. Grzenda
2008Scandinavian Conference on AI7 citations
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Consumer-oriented heat consumption prediction
M. Grzenda
20126 citations
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Prediction-oriented dimensionality reduction of industrial data sets
M. Grzenda
2011International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems6 citations
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Demand Prediction with Multi-Stage Neural Processing
M. Grzenda, B. Macukow
20066 citations
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Requirements and Solutions for Web-Based Expert System
M. Grzenda, Marcin Niemczak
2004International Conference on Artificial Intelligence and Soft Computing6 citations
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Quantifying Parking Difficulty with Transport and Prediction Models for Travel Mode Choice Modelling
M. Grzenda, Marcin Luckner, L. Brzozowski
2023International Conference on Conceptual Structures5 citations
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Combining Stream Mining and Neural Networks for Short Term Delay Prediction
M. Grzenda, Karolina Kwasiborska, Tomasz Zaremba
2017International Conference on European Transnational Education5 citations Open access
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Modelowanie systemu dystrybucji wody na przykładzie dużej aglomeracji miejskiej
M. Grzenda, M. Sudol, W. Gębski
20105 citations
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Systemy informatyczne we wspomaganiu eksploatacji sieci
M. Grzenda
20085 citations
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Evolutionary neural-networks based optimisation for short-term load forecasting
M. Grzenda, B. Macukow
20025 citations
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Reduction of Signal Strength Data for Fingerprinting-Based Indoor Positioning
M. Grzenda
2015Ideal4 citations
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Handling Incomplete Data Using Evolution of Imputation Methods
P. Zawistowski, M. Grzenda
2009International Conference on Adaptive and Natural Computing Algorithms4 citations
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S2CE: a hybrid cloud and edge orchestrator for mining exascale distributed streams
N. Kourtellis, H. Herodotou, M. Grzenda, P. Wawrzyniak +1 more
2020Distributed Event-Based Systems3 citations Open access
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Advances in Network Systems : Architectures, Security, and Applications
M. Grzenda, A. Awad, J. Furtak, J. Legierski
20173 citations
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Kluczowe zagadnienia modelowania matematycznego systemów kanalizacyjnych na przykładzie dużej sieci ogólnospławnej
M. Grzenda, L. Fuchs, T. Beeneken, N. Wronowski
20113 citations
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Urban Traveller Preference Miner: Modelling Transport Choices with Survey Data Streams
M. Grzenda, Marcin Luckner, Przemyslaw Wrona
2022ECML/PKDD2 citations
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Geospatial presentation of purchase transactions data
M. Grzenda, K. Kaczmarski, Mateusz Kobos, Marcin Luckner
2011Conference on Computer Science and Information Systems2 citations
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SOM-Based Selection of Monitored Consumers for Demand Prediction
M. Grzenda
2009Ideal2 citations
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The role of weight domain in evolutionary design of multilayer perceptrons
M. Grzenda, B. Macukow
2000Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium2 citations
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Streaming Detection of Significant Delay Changes in Public Transport Systems
Przemyslaw Wrona, M. Grzenda, Marcin Luckner
2024International Conference on Conceptual Structures1 citations Open access
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Analysing the Performance of Fingerprinting-Based Indoor Positioning: The Non-trivial Case of Testing Data Selection
M. Grzenda
2019International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems1 citations
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Semi-supervised Learning to Reduce Data Needs of Indoor Positioning Models
M. Grzenda
2018Ideal1 citations
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Network Architectures, Security, and Applications: An Introduction
M. Grzenda, J. Furtak, J. Legierski, A. Awad
20151 citations
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On the testing of network cyber threat detection methods on spam example
Robert Filasiak, M. Grzenda, Marcin Luckner, P. Zawistowski
2014Annales des télécommunications1 citations Open access
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A soft computing system using intelligent imputation strategies for roughness prediction in deep drilling
M. Grzenda, A. Bustillo, P. Zawistowski
2010Journal of Intelligent Manufacturing1 citations Open access
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Can Neural Networks Be Used to Define the Rules of Cardiovascular Disease Prevention in the Nutrition Domain
A. Borowiec, Krzysztof Fronczyk, B. Macukow, M. Grzenda
20031 citations
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Towards the evolution of neural networks
B. Macukow, M. Grzenda
20011 citations
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Hybrid Ensemble-Based Travel Mode Prediction
P. Golik, M. Grzenda, Elzbieta Sienkiewicz
2024International Symposium on Intelligent Data Analysis0 citations Open access
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Understanding Tour-Related Factors Influencing Travel Mode Choices in Urban Areas
M. Grzenda, Marcin Luckner, Cezary Bella
2024PKDD/ECML Workshops0 citations
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Quantifying Changes in Predictions of Classification Models for Data Streams
M. Grzenda
2022International Symposium on Intelligent Data Analysis0 citations
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