The Role of Weight Domain in Evolutionary Design of Multilayer Perceptrons. - Maciej Grzenda; Bohdan Macukow (IJCNN (6), 2000)

Requirements and Solutions for Web-Based Expert System. - Maciej Grzenda; Marcin Niemczak (ICAISC, 2004)

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

Load Prediction Using Combination of Neural Networks and Simple Strategies. - Maciej Grzenda (SCAI, 2008)

Handling Incomplete Data Using Evolution of Imputation Methods. - Pawel Zawistowski; Maciej Grzenda (ICANNGA, 2009)

SOM-Based Selection of Monitored Consumers for Demand Prediction. - Maciej Grzenda (IDEAL, 2009)

Heat Consumption Prediction with Multiple Hybrid Models. - Maciej Grzenda; Bohdan Macukow (IWANN (2), 2009)

An Efficient Approach to Clustering Real-Estate Listings. - Maciej Grzenda; Deepak Thukral (IDEAL, 2010)

Geospatial presentation of purchase transactions data. - Maciej Grzenda; Krzysztof Kaczmarski; Mateusz Kobos; Marcin Luckner (FedCSIS, 2011)

Prediction-Oriented Dimensionality Reduction of Industrial Data Sets. - Maciej Grzenda (IEA/AIE (1), 2011)

On the Evolutionary Search for Data Reduction Method. - Hanna Lacka; Maciej Grzenda (DCAI, 2012)

Towards the Reduction of Data Used for the Classification of Network Flows. - Maciej Grzenda (HAIS (2), 2012)

Improvement of surface roughness models for face milling operations through dimensionality reduction. - Maciej Grzenda; Andrés Bustillo; Guillem Quintana; Joaquim Ciurana (Integr. Comput. Aided Eng., 2012)

Editors's Introduction to the Special Issue on "Advances in Network Systems". - Andrzej Chojnacki; Andrzej Kowalski; Bohdan Macukow; Maciej Grzenda (Informatica (Slovenia), 2012)

A soft computing system using intelligent imputation strategies for roughness prediction in deep drilling. - Maciej Grzenda; Andrés Bustillo; Pawel Zawistowski (J. Intell. Manuf., 2012)

On the Prediction of Floor Identification Credibility in RSS-Based Positioning Techniques. - Maciej Grzenda (IEA/AIE, 2013)

The evolutionary development of roughness prediction models. - Maciej Grzenda; Andrés Bustillo (Appl. Soft Comput., 2013)

On the testing of network cyber threat detection methods on spam example. - Robert Filasiak; Maciej Grzenda; Marcin Luckner; Pawel Zawistowski (Ann. des Télécommunications, 2014)

Editors's Introduction to the Special Issue on "Frontiers in Network Systems and Applications". - Andrzej Chojnacki; Maciej Grzenda; Andrzej Kowalski; Bohdan Macukow (Informatica (Slovenia), 2014)

The Adoption of Open Data and Open API Telecommunication Functions by Software Developers. - Sebastian Grabowski; Maciej Grzenda; Jaroslaw Legierski (BIS, 2015)

Reduction of Signal Strength Data for Fingerprinting-Based Indoor Positioning. - Maciej Grzenda (IDEAL, 2015)

Modeling pulsed laser micromachining of micro geometries using machine-learning techniques. - Daniel Teixidor; Maciej Grzenda; Andrés Bustillo; Joaquim Ciurana (J. Intell. Manuf., 2015)

Interpreting tree-based prediction models and their data in machining processes. - Andrés Bustillo; Maciej Grzenda; Bohdan Macukow (Integr. Comput. Aided Eng., 2016)

Dynamic Transfer Patterns for Fast Multi-modal Route Planning. - Thomas Liebig; Sebastian Peter; Maciej Grzenda; Konstanty Junosza-Szaniawski (AGILE Conf., 2017)

Combining Stream Mining and Neural Networks for Short Term Delay Prediction. - Maciej Grzenda; Karolina Kwasiborska; Tomasz Zaremba (SOCO-CISIS-ICEUTE, 2017)

Semi-supervised Learning to Reduce Data Needs of Indoor Positioning Models. - Maciej Grzenda (IDEAL (2), 2018)

The Use of Unified Activity Records to Predict Requests Made by Applications for External Services. - Maciej Grzenda; Robert Kunicki; Jaroslaw Legierski (IDEAL (2), 2019)

Analysing the Performance of Fingerprinting-Based Indoor Positioning: The Non-trivial Case of Testing Data Selection. - Maciej Grzenda (IEA/AIE, 2019)

Semi-supervised roughness prediction with partly unlabeled vibration data streams. - Maciej Grzenda; Andrés Bustillo (J. Intell. Manuf., 2019)

Performance measures for evolving predictions under delayed labelling classification. - Maciej Grzenda; Heitor Murilo Gomes; Albert Bifet (IJCNN, 2020)

Delayed labelling evaluation for data streams. - Maciej Grzenda; Heitor Murilo Gomes; Albert Bifet (Data Min. Knowl. Discov., 2020)

Hybrid short term prediction to address limited timeliness of public transport data streams. - Maciej Grzenda; Karolina Kwasiborska; Tomasz Zaremba (Neurocomputing, 2020)

IoT Architecture for Urban Data-Centric Services and Applications. - Marcin Luckner; Maciej Grzenda; Robert Kunicki; Jaroslaw Legierski (ACM Trans. Internet Techn., 2020)

S2CE: a hybrid cloud and edge orchestrator for mining exascale distributed streams. - Nicolas Kourtellis; Herodotos Herodotou; Maciej Grzenda; Piotr Wawrzyniak; Albert Bifet (DEBS, 2021)

Towards Increasing Open Data Adoption Through Stream Data Integration and Imputation. - Robert Kunicki; Maciej Grzenda (IEA/AIE (1), 2021)

Towards Increased Understanding of Open Data Use for Software Development. - Maciej Grzenda; Jaroslaw Legierski (Inf. Syst. Frontiers, 2021)

Streaming Detection of Significant Delay Changes in Public Transport Systems. - Przemyslaw Wrona; Maciej Grzenda; Marcin Luckner (ICCS (4), 2022)

Quantifying Changes in Predictions of Classification Models for Data Streams. - Maciej Grzenda (IDA, 2022)

Urban Traveller Preference Miner: Modelling Transport Choices with Survey Data Streams. - Maciej Grzenda; Marcin Luckner; Przemyslaw Wrona (ECML/PKDD (6), 2022)

Quantifying Parking Difficulty with Transport and Prediction Models for Travel Mode Choice Modelling. - Maciej Grzenda; Marcin Luckner; Lukasz Brzozowski (ICCS (5), 2023)

A Survey on Semi-supervised Learning for Delayed Partially Labelled Data Streams. - Heitor Murilo Gomes; Maciej Grzenda; Rodrigo Fernandes de Mello; Jesse Read; Minh-Huong Le Nguyen; Albert Bifet (ACM Comput. Surv., 2023)

Evaluation of machine learning methods for impostor detection in web applications. - Maciej Grzenda; Stanislaw Kazmierczak; Marcin Luckner; Grzegorz Borowik; Jacek Mandziuk (Expert Syst. Appl., 2023)

Analysing Urban Transport Using Synthetic Journeys. - Marcin Luckner; Przemyslaw Wrona; Maciej Grzenda; Agnieszka Lysak (ICCS (7), 2024)

Hybrid Ensemble-Based Travel Mode Prediction. - Pawel Golik; Maciej Grzenda; Elzbieta Sienkiewicz (IDA (1), 2024)

Combining data from multiple sources for urban travel mode choice modelling. - Maciej Grzenda; Marcin Luckner; Jakub Zawieska; Przemyslaw Wrona (CoRR, 2024)