A Model of Employee Selection for SME Based on Innovation Transfer. - Justyna Patalas-Maliszewska; Irene Krebs (BIS (Workshops), 2010)

A Concept of the Knowledge Strategic Resource Network (SknowNet) for SMEs. - Justyna Patalas-Maliszewska; Irene Krebs (BIS (Workshops), 2011)

Case-Based Business-to-Business Integration Model for SME - The Impact of ERP Implementation. - Justyna Patalas-Maliszewska; Irene Krebs (BIS (Workshops), 2012)

The Impact of the Use of Web 2.0 Technologies on the Performance of Polish Manufacturing Companies. - Justyna Patalas-Maliszewska; Irene Krebs (BIS (Workshops), 2014)

The optimization of the process of knowledge worker selection using a game theory approach. - Justyna Patalas-Maliszewska; Irene Krebs (MMAR, 2014)

Decision Model for the Use of the Application for Knowledge Transfer Support in Manufacturing Enterprises. - Justyna Patalas-Maliszewska; Irene Krebs (BIS (Workshops), 2015)

The Effect of the Use of Motivators of Knowledge Sharing on the Outcome of Realized Business Strategies in Polish Manufacturing Enterprises. - Justyna Patalas-Maliszewska (DCAI, 2015)

A Strategy Map of Tacit Knowledge for Manufacturing Companies. An Empirical Study. - Justyna Patalas-Maliszewska; Irene Krebs (ICIST, 2015)

Throughput Analysis of Automatic Production Lines Based on Simulation Methods. - Slawomir Klos; Justyna Patalas-Maliszewska (IDEAL, 2015)

Decision support model based on the GMDH method for implementing business strategies in Polish manufacturing enterprises (DS-BSI). - Justyna Patalas-Maliszewska; Irene Krebs (MMAR, 2015)

Exploring the Influence of the Use of an ERP System on Strategy Development in German and Polish Manufacturing Enterprises: An Empirical Investigation. - Justyna Patalas-Maliszewska; Irene Krebs (BIS (Workshops), 2016)

A Model of the Tacit Knowledge Transfer Support Tool: CKnow-Board. - Justyna Patalas-Maliszewska; Irene Krebs (ICIST, 2016)

A concept of a decision support system for the selection of a knowledge management tool for a manufacturing company. - Justyna Patalas-Maliszewska; Irene Krebs (MMAR, 2016)

Principal Sources for the Identification of Tacit Knowledge Within an IT Company, as Part of an Intelligent System. - Justyna Patalas-Maliszewska; Irene Krebs (BIS (Workshops), 2017)

Exemplar Functionalities of the Intelligent System for Tacit-Knowledge-Transfer Support for an IT Company. - Justyna Patalas-Maliszewska; Irene Krebs (ICIST, 2017)

A Model of the Knowledge Assessment Using Bayes' Network. - Malgorzata Sliwa; Justyna Patalas-Maliszewska (ICIST, 2017)

Knowledge Sharing Using Customer Relationship Management Systems (CRM) in NPD Processes - Research Results from Polish and German Manufacturing Companies. - Justyna Patalas-Maliszewska; Slawomir Klos (ISAT (3), 2017)

An approach to automated tacit-knowledge acquisition and transformation in manufacturing companies. - Justyna Patalas-Maliszewska; Irene Krebs; Adam Dudek (MMAR, 2017)

The Topological Impact of Discrete Manufacturing Systems on the Effectiveness of Production Processes. - Slawomir Klos; Justyna Patalas-Maliszewska (WorldCIST (3), 2017)

The Use of the Simulation Method in Analysing the Performance of a Predictive Maintenance System. - Slawomir Klos; Justyna Patalas-Maliszewska (DCAI (Special Sessions), 2018)

Modelling of Knowledge Resources for Preventive Maintenance. - Justyna Patalas-Maliszewska; Slawomir Klos (DCAI (Special Sessions), 2018)

An Information System Supporting the Eliciting of Expert Knowledge for Successful IT Projects. - Justyna Patalas-Maliszewska; Irene Krebs (ICIST, 2018)

An Approach to Buffer Allocation, in Parallel-Serial Manufacturing Systems Using the Simulation Method. - Slawomir Klos; Justyna Patalas-Maliszewska (WorldCIST (3), 2018)

Using the Simulation Method for Modelling a Manufacturing System of Predictive Maintenance. - Slawomir Klos; Justyna Patalas-Maliszewska (DCAI (Special Sessions), 2019)

Assessing the Effectiveness of Using the MES in Manufacturing Enterprises in the Context of Industry 4.0. - Malgorzata Skrzeszewska; Justyna Patalas-Maliszewska (DCAI (Special Sessions), 2019)

Forecasting the Level of Expert Knowledge Using the GMDH Method. - Justyna Patalas-Maliszewska; Malgorzata Sliwa; Slawomir Klos (ICIST, 2019)

The Image Classification of Workstation Instructions Using Convolutional Neural Networks. - Daniel Halikowski; Justyna Patalas-Maliszewska (ISAT (2), 2019)

A Model for Generating Workplace Procedures Using a CNN-SVM Architecture. - Justyna Patalas-Maliszewska; Daniel Halikowski (Symmetry, 2019)

AI-based Decision-making Model for the Development of a Manufacturing Company in the context of Industry 4.0. - Justyna Patalas-Maliszewska; Iwona Pajak; Malgorzata Skrzeszewska (FUZZ-IEEE, 2020)

A Deep Learning-Based Model for the Automated Assessment of the Activity of a Single Worker. - Justyna Patalas-Maliszewska; Daniel Halikowski (Sensors, 2020)

AI-based Decision Support System to Predict Investment in Research Laboratories in the Field of AM Technologies for Industry 4.0. - Grzegorz Pajak; Justyna Patalas-Maliszewska; Iwona Pajak (FUZZ-IEEE, 2021)

Sports activity recognition with UWB and inertial sensors using deep learning approach. - Iwona Pajak; Pascal Krutz; Justyna Patalas-Maliszewska; Matthias Rehm; Grzegorz Pajak; Holger Schlegel; Martin Dix (FUZZ-IEEE, 2022)

Modelling of the effectiveness of integrating additive manufacturing technologies into Petri net-based manufacturing systems. - Justyna Patalas-Maliszewska; Remigiusz Wisniewski; Marcin Topczak; Marcin Wojnakowski (FUZZ-IEEE, 2022)

Interpreted Petri Nets in Modelling and Analysis of Physical Resilient Manufacturing Systems. - Remigiusz Wisniewski; Justyna Patalas-Maliszewska; Marcin Wojnakowski; Marcin Topczak (SMC, 2022)

Modelling Information for the Burnishing Process in a Cyber-Physical Production System. - Justyna Patalas-Maliszewska; Marco Posdzich; Katarzyna Skrzypek (Int. J. Appl. Math. Comput. Sci., 2022)

Fast Verification of Petri Net-Based Model of Industrial Decision-Making Systems: A Case Study. - Remigiusz Wisniewski; Justyna Patalas-Maliszewska; Marcin Wojnakowski; Marcin Topczak; Mengchu Zhou (SMC, 2023)

Inertial Sensor-Based Sport Activity Advisory System Using Machine Learning Algorithms. - Justyna Patalas-Maliszewska; Iwona Pajak; Pascal Krutz; Grzegorz Pajak; Matthias Rehm; Holger Schlegel; Martin Dix (Sensors, 2023)

Applying additive manufacturing technologies to a supply chain: A Petri net-based decision model. - Justyna Patalas-Maliszewska; Remigiusz Wisniewski; Mengchu Zhou; Marcin Topczak; Marcin Wojnakowski (Int. J. Appl. Math. Comput. Sci., 2024)

Enhancing inertial sensor-based sports activity recognition through reduction of the signals and deep learning. - Grzegorz Pajak; Justyna Patalas-Maliszewska; Pascal Krutz; Matthias Rehm; Iwona Pajak; Holger Schlegel; Martin Dix (Expert Syst. Appl., 2025)

Modeling and Analysis of a Petri Net-Based System Supporting Implementation of Additive Manufacturing Technologies. - Remigiusz Wisniewski; Justyna Patalas-Maliszewska; Marcin Wojnakowski; Marcin Topczak (IEEE Trans Autom. Sci. Eng., 2025)