Maciej Grzenda

53 papers B 2C 6Misc 2Journal 23Unranked 20
YearRankTypeTitle / Venue / Authors
2026 J jnl
SLEADE: Disagreement-Based Semi-Supervised Learning for Sparsely Labeled Evolving Data Streams.
IEEE Trans. Knowl. Data Eng.
Heitor Murilo Gomes, Jesse Read, Maciej Grzenda, Bernhard Pfahringer, Albert Bifet
2025 — conf
Probabilistic Spatial Modelling of Travel Mode Choices with Synthetic Instances.
EMCIS (1)
Przemyslaw Wrona, Elzbieta Sienkiewicz, Maciej Grzenda
2025 — conf
Towards Integrating Monotonicity Constraints Into Hoeffding Trees for Binary Classification.
IDEAL (1)
Mieszko Mirgos, Maciej Grzenda
2024 — conf
Analysing Urban Transport Using Synthetic Journeys.
ICCS (7)
Marcin Luckner, Przemyslaw Wrona, Maciej Grzenda, Agnieszka Lysak
2024 J jnl
Combining data from multiple sources for urban travel mode choice modelling.
CoRR
Maciej Grzenda, Marcin Luckner, Jakub Zawieska, Przemyslaw Wrona
2024 — conf
Hybrid Ensemble-Based Travel Mode Prediction.
IDA (1)
Pawel Golik, Maciej Grzenda, Elzbieta Sienkiewicz
2024 J jnl
Hybrid Ensemble-Based Travel Mode Prediction.
CoRR
Pawel Golik, Maciej Grzenda, Elzbieta Sienkiewicz
2024 J jnl
Streaming detection of significant delay changes in public transport systems.
CoRR
Przemyslaw Wrona, Maciej Grzenda, Marcin Luckner
2023 J jnl
A Survey on Semi-supervised Learning for Delayed Partially Labelled Data Streams.
ACM Comput. Surv.
Heitor Murilo Gomes, Maciej Grzenda, Rodrigo Fernandes de Mello, Jesse Read, Minh-Huong Le Nguyen, Albert Bifet
2023 J jnl
Evaluation of machine learning methods for impostor detection in web applications.
Expert Syst. Appl.
Maciej Grzenda, Stanislaw Kazmierczak, Marcin Luckner, Grzegorz Borowik, Jacek Mandziuk
2023 — conf
Quantifying Parking Difficulty with Transport and Prediction Models for Travel Mode Choice Modelling.
ICCS (5)
Maciej Grzenda, Marcin Luckner, Lukasz Brzozowski
2022 B conf
Quantifying Changes in Predictions of Classification Models for Data Streams.
IDA
Maciej Grzenda
2022 — conf
Streaming Detection of Significant Delay Changes in Public Transport Systems.
ICCS (4)
Przemyslaw Wrona, Maciej Grzenda, Marcin Luckner
2022 — conf
Urban Traveller Preference Miner: Modelling Transport Choices with Survey Data Streams.
ECML/PKDD (6)
Maciej Grzenda, Marcin Luckner, Przemyslaw Wrona
2021 J jnl
A Survey on Semi-Supervised Learning for Delayed Partially Labelled Data Streams.
CoRR
Heitor Murilo Gomes, Maciej Grzenda, Rodrigo Fernandes de Mello, Jesse Read, Minh-Huong Le Nguyen, Albert Bifet
2021 — conf
S2CE: a hybrid cloud and edge orchestrator for mining exascale distributed streams.
DEBS
Nicolas Kourtellis, Herodotos Herodotou, Maciej Grzenda, Piotr Wawrzyniak, Albert Bifet
2021 J jnl
Towards Increased Understanding of Open Data Use for Software Development.
Inf. Syst. Frontiers
Maciej Grzenda, Jaroslaw Legierski
2021 — conf
Towards Increasing Open Data Adoption Through Stream Data Integration and Imputation.
IEA/AIE (1)
Robert Kunicki, Maciej Grzenda
2020 J jnl
Delayed labelling evaluation for data streams.
Data Min. Knowl. Discov.
Maciej Grzenda, Heitor Murilo Gomes, Albert Bifet
2020 J jnl
Hybrid short term prediction to address limited timeliness of public transport data streams.
Neurocomputing
Maciej Grzenda, Karolina Kwasiborska, Tomasz Zaremba
2020 J jnl
IoT Architecture for Urban Data-Centric Services and Applications.
ACM Trans. Internet Techn.
Marcin Luckner, Maciej Grzenda, Robert Kunicki, Jaroslaw Legierski
2020 B conf
Performance measures for evolving predictions under delayed labelling classification.
IJCNN
Maciej Grzenda, Heitor Murilo Gomes, Albert Bifet
2020 J jnl
S2CE: A Hybrid Cloud and Edge Orchestrator for Mining Exascale Distributed Streams.
CoRR
Nicolas Kourtellis, Herodotos Herodotou, Maciej Grzenda, Piotr Wawrzyniak, Albert Bifet
2019 C conf
Analysing the Performance of Fingerprinting-Based Indoor Positioning: The Non-trivial Case of Testing Data Selection.
IEA/AIE
Maciej Grzenda
2019 J jnl
Semi-supervised roughness prediction with partly unlabeled vibration data streams.
J. Intell. Manuf.
Maciej Grzenda, Andrés Bustillo
2019 — conf
The Use of Unified Activity Records to Predict Requests Made by Applications for External Services.
IDEAL (2)
Maciej Grzenda, Robert Kunicki, Jaroslaw Legierski
2018 — conf
Semi-supervised Learning to Reduce Data Needs of Indoor Positioning Models.
IDEAL (2)
Maciej Grzenda
2017 — conf
Combining Stream Mining and Neural Networks for Short Term Delay Prediction.
SOCO-CISIS-ICEUTE
Maciej Grzenda, Karolina Kwasiborska, Tomasz Zaremba
2017 J jnl
Combining Stream Mining and Neural Networks for Short Term Delay Prediction.
CoRR
Maciej Grzenda, Karolina Kwasiborska, Tomasz Zaremba
2017 — conf
Dynamic Transfer Patterns for Fast Multi-modal Route Planning.
AGILE Conf.
Thomas Liebig, Sebastian Peter, Maciej Grzenda, Konstanty Junosza-Szaniawski
2016 J jnl
Interpreting tree-based prediction models and their data in machining processes.
Integr. Comput. Aided Eng.
Andrés Bustillo, Maciej Grzenda, Bohdan Macukow
2015 J jnl
Modeling pulsed laser micromachining of micro geometries using machine-learning techniques.
J. Intell. Manuf.
Daniel Teixidor, Maciej Grzenda, Andrés Bustillo, Joaquim Ciurana
2015 C conf
Reduction of Signal Strength Data for Fingerprinting-Based Indoor Positioning.
IDEAL
Maciej Grzenda
2015 — conf
The Adoption of Open Data and Open API Telecommunication Functions by Software Developers.
BIS
Sebastian Grabowski, Maciej Grzenda, Jaroslaw Legierski
2014 J jnl
Editors's Introduction to the Special Issue on "Frontiers in Network Systems and Applications".
Informatica (Slovenia)
Andrzej Chojnacki, Maciej Grzenda, Andrzej Kowalski, Bohdan Macukow
2014 J jnl
On the testing of network cyber threat detection methods on spam example.
Ann. des Télécommunications
Robert Filasiak, Maciej Grzenda, Marcin Luckner, Pawel Zawistowski
2013 C conf
On the Prediction of Floor Identification Credibility in RSS-Based Positioning Techniques.
IEA/AIE
Maciej Grzenda
2013 J jnl
The evolutionary development of roughness prediction models.
Appl. Soft Comput.
Maciej Grzenda, Andrés Bustillo
2012 J jnl
A soft computing system using intelligent imputation strategies for roughness prediction in deep drilling.
J. Intell. Manuf.
Maciej Grzenda, Andrés Bustillo, Pawel Zawistowski
2012 J jnl
Editors's Introduction to the Special Issue on "Advances in Network Systems".
Informatica (Slovenia)
Andrzej Chojnacki, Andrzej Kowalski, Bohdan Macukow, Maciej Grzenda
2012 J jnl
Improvement of surface roughness models for face milling operations through dimensionality reduction.
Integr. Comput. Aided Eng.
Maciej Grzenda, Andrés Bustillo, Guillem Quintana, Joaquim Ciurana
2012 Misc conf
On the Evolutionary Search for Data Reduction Method.
DCAI
Hanna Lacka, Maciej Grzenda
2012 — conf
Towards the Reduction of Data Used for the Classification of Network Flows.
HAIS (2)
Maciej Grzenda
2011 C conf
Geospatial presentation of purchase transactions data.
FedCSIS
Maciej Grzenda, Krzysztof Kaczmarski, Mateusz Kobos, Marcin Luckner
2011 — conf
Prediction-Oriented Dimensionality Reduction of Industrial Data Sets.
IEA/AIE (1)
Maciej Grzenda
2010 C conf
An Efficient Approach to Clustering Real-Estate Listings.
IDEAL
Maciej Grzenda, Deepak Thukral
2009 — conf
Handling Incomplete Data Using Evolution of Imputation Methods.
ICANNGA
Pawel Zawistowski, Maciej Grzenda
2009 — conf
Heat Consumption Prediction with Multiple Hybrid Models.
IWANN (2)
Maciej Grzenda, Bohdan Macukow
2009 C conf
SOM-Based Selection of Monitored Consumers for Demand Prediction.
IDEAL
Maciej Grzenda
2008 — conf
Load Prediction Using Combination of Neural Networks and Simple Strategies.
SCAI
Maciej Grzenda
2006 J jnl
The use of self-organising maps to investigate heat demand profiles.
Ann. UMCS Informatica
Maciej Grzenda
2004 Misc conf
Requirements and Solutions for Web-Based Expert System.
ICAISC
Maciej Grzenda, Marcin Niemczak
2000 — conf
The Role of Weight Domain in Evolutionary Design of Multilayer Perceptrons.
IJCNN (6)
Maciej Grzenda, Bohdan Macukow