Maciej Grzenda

Orcid: 0000-0002-5440-4954

According to our database1, Maciej Grzenda authored at least 42 papers between 2000 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2023
Evaluation of machine learning methods for impostor detection in web applications.
Expert Syst. Appl., November, 2023

A Survey on Semi-supervised Learning for Delayed Partially Labelled Data Streams.
ACM Comput. Surv., 2023

Quantifying Parking Difficulty with Transport and Prediction Models for Travel Mode Choice Modelling.
Proceedings of the Computational Science - ICCS 2023, 2023

2022
Urban Traveller Preference Miner: Modelling Transport Choices with Survey Data Streams.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Quantifying Changes in Predictions of Classification Models for Data Streams.
Proceedings of the Advances in Intelligent Data Analysis XX, 2022

Streaming Detection of Significant Delay Changes in Public Transport Systems.
Proceedings of the Computational Science - ICCS 2022, 2022

2021
Towards Increased Understanding of Open Data Use for Software Development.
Inf. Syst. Frontiers, 2021

Towards Increasing Open Data Adoption Through Stream Data Integration and Imputation.
Proceedings of the Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices, 2021

S2CE: a hybrid cloud and edge orchestrator for mining exascale distributed streams.
Proceedings of the 15th ACM International Conference on Distributed and Event-based Systems, 2021

2020
IoT Architecture for Urban Data-Centric Services and Applications.
ACM Trans. Internet Techn., 2020

Hybrid short term prediction to address limited timeliness of public transport data streams.
Neurocomputing, 2020

Delayed labelling evaluation for data streams.
Data Min. Knowl. Discov., 2020

Performance measures for evolving predictions under delayed labelling classification.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Semi-supervised roughness prediction with partly unlabeled vibration data streams.
J. Intell. Manuf., 2019

Analysing the Performance of Fingerprinting-Based Indoor Positioning: The Non-trivial Case of Testing Data Selection.
Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2019

The Use of Unified Activity Records to Predict Requests Made by Applications for External Services.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

2018
Semi-supervised Learning to Reduce Data Needs of Indoor Positioning Models.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

2017
Combining Stream Mining and Neural Networks for Short Term Delay Prediction.
Proceedings of the International Joint Conference SOCO'17-CISIS'17-ICEUTE'17, 2017

Dynamic Transfer Patterns for Fast Multi-modal Route Planning.
Proceedings of the Societal Geo-innovation, 2017

2016
Interpreting tree-based prediction models and their data in machining processes.
Integr. Comput. Aided Eng., 2016

2015
Modeling pulsed laser micromachining of micro geometries using machine-learning techniques.
J. Intell. Manuf., 2015

Reduction of Signal Strength Data for Fingerprinting-Based Indoor Positioning.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2015, 2015

The Adoption of Open Data and Open API Telecommunication Functions by Software Developers.
Proceedings of the Business Information Systems - 18th International Conference, 2015

2014
Editors's Introduction to the Special Issue on "Frontiers in Network Systems and Applications".
Informatica (Slovenia), 2014

On the testing of network cyber threat detection methods on spam example.
Ann. des Télécommunications, 2014

2013
The evolutionary development of roughness prediction models.
Appl. Soft Comput., 2013

On the Prediction of Floor Identification Credibility in RSS-Based Positioning Techniques.
Proceedings of the Recent Trends in Applied Artificial Intelligence, 2013

2012
A soft computing system using intelligent imputation strategies for roughness prediction in deep drilling.
J. Intell. Manuf., 2012

Editors's Introduction to the Special Issue on "Advances in Network Systems".
Informatica (Slovenia), 2012

Improvement of surface roughness models for face milling operations through dimensionality reduction.
Integr. Comput. Aided Eng., 2012

Towards the Reduction of Data Used for the Classification of Network Flows.
Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012

On the Evolutionary Search for Data Reduction Method.
Proceedings of the Distributed Computing and Artificial Intelligence, 2012

2011
Prediction-Oriented Dimensionality Reduction of Industrial Data Sets.
Proceedings of the Modern Approaches in Applied Intelligence, 2011

Geospatial presentation of purchase transactions data.
Proceedings of the Federated Conference on Computer Science and Information Systems, 2011

2010
An Efficient Approach to Clustering Real-Estate Listings.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2010

2009
Heat Consumption Prediction with Multiple Hybrid Models.
Proceedings of the Distributed Computing, 2009

SOM-Based Selection of Monitored Consumers for Demand Prediction.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2009

Handling Incomplete Data Using Evolution of Imputation Methods.
Proceedings of the Adaptive and Natural Computing Algorithms, 9th International Conference, 2009

2008
Load Prediction Using Combination of Neural Networks and Simple Strategies.
Proceedings of the Tenth Scandinavian Conference on Artificial Intelligence, 2008

2006
The use of self-organising maps to investigate heat demand profiles.
Ann. UMCS Informatica, 2006

2004
Requirements and Solutions for Web-Based Expert System.
Proceedings of the Artificial Intelligence and Soft Computing, 2004

2000
The Role of Weight Domain in Evolutionary Design of Multilayer Perceptrons.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000


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