Maciej Grzenda

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 28

Top Topics

Public Transport

Software Developers

Top Venues

J. Intell. Manuf.

Publications

Przemyslaw Wrona, Maciej Grzenda, Marcin Luckner
Streaming detection of significant delay changes in public transport systems. CoRR (2024)
Maciej Grzenda, Marcin Luckner, Jakub Zawieska, Przemyslaw Wrona
Combining data from multiple sources for urban travel mode choice modelling. CoRR (2024)
Marcin Luckner, Przemyslaw Wrona, Maciej Grzenda, Agnieszka Lysak
Analysing Urban Transport Using Synthetic Journeys. ICCS (7) (2024)
Pawel Golik, Maciej Grzenda, Elzbieta Sienkiewicz
Hybrid Ensemble-Based Travel Mode Prediction. CoRR (2024)
Pawel Golik, Maciej Grzenda, Elzbieta Sienkiewicz
Hybrid Ensemble-Based Travel Mode Prediction. IDA (1) (2024)
Maciej Grzenda, Marcin Luckner, Lukasz Brzozowski
Quantifying Parking Difficulty with Transport and Prediction Models for Travel Mode Choice Modelling. ICCS (5) (2023)
Heitor Murilo Gomes, Maciej Grzenda, Rodrigo Fernandes de Mello, Jesse Read, Minh-Huong Le Nguyen, Albert Bifet
A Survey on Semi-supervised Learning for Delayed Partially Labelled Data Streams. ACM Comput. Surv. 55 (4) (2023)
Maciej Grzenda, Stanislaw Kazmierczak, Marcin Luckner, Grzegorz Borowik, Jacek Mandziuk
Evaluation of machine learning methods for impostor detection in web applications. Expert Syst. Appl. 231 (2023)
Przemyslaw Wrona, Maciej Grzenda, Marcin Luckner
Streaming Detection of Significant Delay Changes in Public Transport Systems. ICCS (4) (2022)
Maciej Grzenda
Quantifying Changes in Predictions of Classification Models for Data Streams. IDA (2022)
Maciej Grzenda, Marcin Luckner, Przemyslaw Wrona
Urban Traveller Preference Miner: Modelling Transport Choices with Survey Data Streams. ECML/PKDD (6) (2022)
Heitor Murilo Gomes, Maciej Grzenda, Rodrigo Fernandes de Mello, Jesse Read, Minh-Huong Le Nguyen, Albert Bifet
A Survey on Semi-Supervised Learning for Delayed Partially Labelled Data Streams. CoRR (2021)
Nicolas Kourtellis, Herodotos Herodotou, Maciej Grzenda, Piotr Wawrzyniak, Albert Bifet
S2CE: a hybrid cloud and edge orchestrator for mining exascale distributed streams. DEBS (2021)
Robert Kunicki, Maciej Grzenda
Towards Increasing Open Data Adoption Through Stream Data Integration and Imputation. IEA/AIE (1) (2021)
Maciej Grzenda, Jaroslaw Legierski
Towards Increased Understanding of Open Data Use for Software Development. Inf. Syst. Frontiers 23 (2) (2021)
Nicolas Kourtellis, Herodotos Herodotou, Maciej Grzenda, Piotr Wawrzyniak, Albert Bifet
S2CE: A Hybrid Cloud and Edge Orchestrator for Mining Exascale Distributed Streams. CoRR (2020)
Maciej Grzenda, Karolina Kwasiborska, Tomasz Zaremba
Hybrid short term prediction to address limited timeliness of public transport data streams. Neurocomputing 391 (2020)
Maciej Grzenda, Heitor Murilo Gomes, Albert Bifet
Performance measures for evolving predictions under delayed labelling classification. IJCNN (2020)
Maciej Grzenda, Heitor Murilo Gomes, Albert Bifet
Delayed labelling evaluation for data streams. Data Min. Knowl. Discov. 34 (5) (2020)
Marcin Luckner, Maciej Grzenda, Robert Kunicki, Jaroslaw Legierski
IoT Architecture for Urban Data-Centric Services and Applications. ACM Trans. Internet Techn. 20 (3) (2020)
Maciej Grzenda, Andrés Bustillo
Semi-supervised roughness prediction with partly unlabeled vibration data streams. J. Intell. Manuf. 30 (2) (2019)
Maciej Grzenda
Analysing the Performance of Fingerprinting-Based Indoor Positioning: The Non-trivial Case of Testing Data Selection. IEA/AIE (2019)
Maciej Grzenda, Robert Kunicki, Jaroslaw Legierski
The Use of Unified Activity Records to Predict Requests Made by Applications for External Services. IDEAL (2) (2019)
Maciej Grzenda
Semi-supervised Learning to Reduce Data Needs of Indoor Positioning Models. IDEAL (2) (2018)
Maciej Grzenda, Karolina Kwasiborska, Tomasz Zaremba
Combining Stream Mining and Neural Networks for Short Term Delay Prediction. SOCO-CISIS-ICEUTE (2017)
Maciej Grzenda, Karolina Kwasiborska, Tomasz Zaremba
Combining Stream Mining and Neural Networks for Short Term Delay Prediction. CoRR (2017)
Thomas Liebig, Sebastian Peter, Maciej Grzenda, Konstanty Junosza-Szaniawski
Dynamic Transfer Patterns for Fast Multi-modal Route Planning. AGILE Conf. (2017)
Andrés Bustillo, Maciej Grzenda, Bohdan Macukow
Interpreting tree-based prediction models and their data in machining processes. Integr. Comput. Aided Eng. 23 (4) (2016)
Maciej Grzenda
Reduction of Signal Strength Data for Fingerprinting-Based Indoor Positioning. IDEAL (2015)
Daniel Teixidor, Maciej Grzenda, Andrés Bustillo, Joaquim Ciurana
Modeling pulsed laser micromachining of micro geometries using machine-learning techniques. J. Intell. Manuf. 26 (4) (2015)
Sebastian Grabowski, Maciej Grzenda, Jaroslaw Legierski
The Adoption of Open Data and Open API Telecommunication Functions by Software Developers. BIS (2015)
Robert Filasiak, Maciej Grzenda, Marcin Luckner, Pawel Zawistowski
On the testing of network cyber threat detection methods on spam example. Ann. des Télécommunications 69 (7-8) (2014)
Andrzej Chojnacki, Maciej Grzenda, Andrzej Kowalski, Bohdan Macukow
Editors's Introduction to the Special Issue on "Frontiers in Network Systems and Applications". Informatica (Slovenia) 38 (3) (2014)
Maciej Grzenda, Andrés Bustillo
The evolutionary development of roughness prediction models. Appl. Soft Comput. 13 (5) (2013)
Maciej Grzenda
On the Prediction of Floor Identification Credibility in RSS-Based Positioning Techniques. IEA/AIE (2013)
Maciej Grzenda, Andrés Bustillo, Pawel Zawistowski
A soft computing system using intelligent imputation strategies for roughness prediction in deep drilling. J. Intell. Manuf. 23 (5) (2012)
Maciej Grzenda
Towards the Reduction of Data Used for the Classification of Network Flows. HAIS (2) (2012)
Maciej Grzenda, Andrés Bustillo, Guillem Quintana, Joaquim Ciurana
Improvement of surface roughness models for face milling operations through dimensionality reduction. Integr. Comput. Aided Eng. 19 (2) (2012)
Andrzej Chojnacki, Andrzej Kowalski, Bohdan Macukow, Maciej Grzenda
Editors's Introduction to the Special Issue on "Advances in Network Systems". Informatica (Slovenia) 36 (4) (2012)
Hanna Lacka, Maciej Grzenda
On the Evolutionary Search for Data Reduction Method. DCAI (2012)
Maciej Grzenda, Krzysztof Kaczmarski, Mateusz Kobos, Marcin Luckner
Geospatial presentation of purchase transactions data. FedCSIS (2011)
Maciej Grzenda
Prediction-Oriented Dimensionality Reduction of Industrial Data Sets. IEA/AIE (1) (2011)
Maciej Grzenda, Deepak Thukral
An Efficient Approach to Clustering Real-Estate Listings. IDEAL (2010)
Maciej Grzenda
SOM-Based Selection of Monitored Consumers for Demand Prediction. IDEAL (2009)
Pawel Zawistowski, Maciej Grzenda
Handling Incomplete Data Using Evolution of Imputation Methods. ICANNGA (2009)
Maciej Grzenda, Bohdan Macukow
Heat Consumption Prediction with Multiple Hybrid Models. IWANN (2) (2009)
Maciej Grzenda
Load Prediction Using Combination of Neural Networks and Simple Strategies. SCAI (2008)
Maciej Grzenda
The use of self-organising maps to investigate heat demand profiles. Ann. UMCS Informatica 4 (1) (2006)
Maciej Grzenda, Marcin Niemczak
Requirements and Solutions for Web-Based Expert System. ICAISC (2004)
Maciej Grzenda, Bohdan Macukow
The Role of Weight Domain in Evolutionary Design of Multilayer Perceptrons. IJCNN (6) (2000)