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2020 – today
- 2024
[c28]Marcin Luckner
, Przemyslaw Wrona, Maciej Grzenda, Agnieszka Lysak:
Analysing Urban Transport Using Synthetic Journeys. ICCS (7) 2024: 118-132- [c27]Pawel Golik, Maciej Grzenda, Elzbieta Sienkiewicz:
Hybrid Ensemble-Based Travel Mode Prediction. IDA (1) 2024: 191-202 - [i6]Przemyslaw Wrona, Maciej Grzenda, Marcin Luckner:
Streaming detection of significant delay changes in public transport systems. CoRR abs/2404.07860 (2024) - [i5]Pawel Golik, Maciej Grzenda, Elzbieta Sienkiewicz:
Hybrid Ensemble-Based Travel Mode Prediction. CoRR abs/2404.14017 (2024) - [i4]Maciej Grzenda, Marcin Luckner, Jakub Zawieska, Przemyslaw Wrona:
Combining data from multiple sources for urban travel mode choice modelling. CoRR abs/2407.12137 (2024) - 2023
- [j16]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): 75:1-75:42 (2023) - [j15]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: 120736 (2023) - [c26]Maciej Grzenda, Marcin Luckner, Lukasz Brzozowski:
Quantifying Parking Difficulty with Transport and Prediction Models for Travel Mode Choice Modelling. ICCS (5) 2023: 505-513 - 2022
- [c25]Przemyslaw Wrona, Maciej Grzenda, Marcin Luckner:
Streaming Detection of Significant Delay Changes in Public Transport Systems. ICCS (4) 2022: 486-499 - [c24]Maciej Grzenda:
Quantifying Changes in Predictions of Classification Models for Data Streams. IDA 2022: 115-127 - [c23]Maciej Grzenda, Marcin Luckner, Przemyslaw Wrona:
Urban Traveller Preference Miner: Modelling Transport Choices with Survey Data Streams. ECML/PKDD (6) 2022: 654-657 - 2021
- [j14]Maciej Grzenda, Jaroslaw Legierski:
Towards Increased Understanding of Open Data Use for Software Development. Inf. Syst. Frontiers 23(2): 495-513 (2021) - [c22]Nicolas Kourtellis, Herodotos Herodotou, Maciej Grzenda, Piotr Wawrzyniak, Albert Bifet:
S2CE: a hybrid cloud and edge orchestrator for mining exascale distributed streams. DEBS 2021: 103-113 - [c21]Robert Kunicki, Maciej Grzenda:
Towards Increasing Open Data Adoption Through Stream Data Integration and Imputation. IEA/AIE (1) 2021: 15-27 - [i3]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 abs/2106.09170 (2021) - 2020
- [j13]Maciej Grzenda, Heitor Murilo Gomes, Albert Bifet:
Delayed labelling evaluation for data streams. Data Min. Knowl. Discov. 34(5): 1237-1266 (2020) - [j12]Maciej Grzenda, Karolina Kwasiborska, Tomasz Zaremba:
Hybrid short term prediction to address limited timeliness of public transport data streams. Neurocomputing 391: 305-317 (2020) - [j11]Marcin Luckner, Maciej Grzenda, Robert Kunicki, Jaroslaw Legierski:
IoT Architecture for Urban Data-Centric Services and Applications. ACM Trans. Internet Techn. 20(3): 29:1-29:30 (2020) - [c20]Maciej Grzenda, Heitor Murilo Gomes, Albert Bifet:
Performance measures for evolving predictions under delayed labelling classification. IJCNN 2020: 1-8 - [i2]Nicolas Kourtellis, Herodotos Herodotou, Maciej Grzenda, Piotr Wawrzyniak, Albert Bifet:
S2CE: A Hybrid Cloud and Edge Orchestrator for Mining Exascale Distributed Streams. CoRR abs/2007.01260 (2020)
2010 – 2019
- 2019
- [j10]Maciej Grzenda, Andrés Bustillo:
Semi-supervised roughness prediction with partly unlabeled vibration data streams. J. Intell. Manuf. 30(2): 933-945 (2019) - [c19]Maciej Grzenda, Robert Kunicki, Jaroslaw Legierski:
The Use of Unified Activity Records to Predict Requests Made by Applications for External Services. IDEAL (2) 2019: 61-69 - [c18]Maciej Grzenda:
Analysing the Performance of Fingerprinting-Based Indoor Positioning: The Non-trivial Case of Testing Data Selection. IEA/AIE 2019: 457-469 - 2018
- [c17]Maciej Grzenda:
Semi-supervised Learning to Reduce Data Needs of Indoor Positioning Models. IDEAL (2) 2018: 233-240 - 2017
- [c16]Thomas Liebig, Sebastian Peter, Maciej Grzenda, Konstanty Junosza-Szaniawski:
Dynamic Transfer Patterns for Fast Multi-modal Route Planning. AGILE Conf. 2017: 223-236 - [c15]Maciej Grzenda, Karolina Kwasiborska, Tomasz Zaremba:
Combining Stream Mining and Neural Networks for Short Term Delay Prediction. SOCO-CISIS-ICEUTE 2017: 188-197 - [i1]Maciej Grzenda, Karolina Kwasiborska, Tomasz Zaremba:
Combining Stream Mining and Neural Networks for Short Term Delay Prediction. CoRR abs/1706.05433 (2017) - 2016
- [j9]Andrés Bustillo, Maciej Grzenda, Bohdan Macukow:
Interpreting tree-based prediction models and their data in machining processes. Integr. Comput. Aided Eng. 23(4): 349-367 (2016) - 2015
- [j8]Daniel Teixidor, Maciej Grzenda, Andrés Bustillo, Joaquim Ciurana:
Modeling pulsed laser micromachining of micro geometries using machine-learning techniques. J. Intell. Manuf. 26(4): 801-814 (2015) - [c14]Sebastian Grabowski, Maciej Grzenda, Jaroslaw Legierski:
The Adoption of Open Data and Open API Telecommunication Functions by Software Developers. BIS 2015: 337-347 - [c13]Maciej Grzenda:
Reduction of Signal Strength Data for Fingerprinting-Based Indoor Positioning. IDEAL 2015: 387-394 - 2014
- [j7]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): 363-377 (2014) - [j6]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) - 2013
- [j5]Maciej Grzenda, Andrés Bustillo:
The evolutionary development of roughness prediction models. Appl. Soft Comput. 13(5): 2913-2922 (2013) - [c12]Maciej Grzenda:
On the Prediction of Floor Identification Credibility in RSS-Based Positioning Techniques. IEA/AIE 2013: 610-619 - 2012
- [j4]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): 179-197 (2012) - [j3]Andrzej Chojnacki, Andrzej Kowalski, Bohdan Macukow, Maciej Grzenda:
Editors's Introduction to the Special Issue on "Advances in Network Systems". Informatica (Slovenia) 36(4): 339 (2012) - [j2]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): 1733-1743 (2012) - [c11]Hanna Lacka, Maciej Grzenda:
On the Evolutionary Search for Data Reduction Method. DCAI 2012: 527-534 - [c10]Maciej Grzenda:
Towards the Reduction of Data Used for the Classification of Network Flows. HAIS (2) 2012: 68-77 - 2011
- [c9]Maciej Grzenda, Krzysztof Kaczmarski, Mateusz Kobos, Marcin Luckner:
Geospatial presentation of purchase transactions data. FedCSIS 2011: 291-296 - [c8]Maciej Grzenda:
Prediction-Oriented Dimensionality Reduction of Industrial Data Sets. IEA/AIE (1) 2011: 232-241 - 2010
- [c7]Maciej Grzenda, Deepak Thukral:
An Efficient Approach to Clustering Real-Estate Listings. IDEAL 2010: 379-386
2000 – 2009
- 2009
- [c6]Pawel Zawistowski, Maciej Grzenda:
Handling Incomplete Data Using Evolution of Imputation Methods. ICANNGA 2009: 22-31 - [c5]Maciej Grzenda:
SOM-Based Selection of Monitored Consumers for Demand Prediction. IDEAL 2009: 807-814 - [c4]Maciej Grzenda, Bohdan Macukow:
Heat Consumption Prediction with Multiple Hybrid Models. IWANN (2) 2009: 1213-1221 - 2008
- [c3]Maciej Grzenda:
Load Prediction Using Combination of Neural Networks and Simple Strategies. SCAI 2008: 106-113 - 2006
- [j1]Maciej Grzenda:
The use of self-organising maps to investigate heat demand profiles. Ann. UMCS Informatica 4(1): 161-168 (2006) - 2004
- [c2]Maciej Grzenda, Marcin Niemczak:
Requirements and Solutions for Web-Based Expert System. ICAISC 2004: 866-871 - 2000
- [c1]Maciej Grzenda, Bohdan Macukow:
The Role of Weight Domain in Evolutionary Design of Multilayer Perceptrons. IJCNN (6) 2000: 596-599
Coauthor Index
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