Edyta Brzychczy

Orcid: 0000-0002-0315-5636

According to our database1, Edyta Brzychczy authored at least 12 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Process Mining of Mining Processes: Analyzing Longwall Coal Excavation Using Event Data.
IEEE Trans. Syst. Man Cybern. Syst., May, 2024

Understanding the passengers' behaviour as a key element of multimodal transport design.
Proceedings of the 28th International Conference on Methods and Models in Automation and Robotics, 2024

2023
KnAC: an approach for enhancing cluster analysis with background knowledge and explanations.
Appl. Intell., June, 2023

Imperative vs. Declarative Modeling of Industrial Process. The Case Study of the Longwall Shearer Operation.
IEEE Access, 2023

Exploring Hybrid Modelling of Industrial Process - Mining Use Case.
Proceedings of the Business Process Management Workshops, 2023

2022
Business Process Management in CEE Countries: A Literature-Based Research Landscape.
Proceedings of the Business Process Management: Blockchain, Robotic Process Automation, and Central and Eastern Europe Forum, 2022

2021
Conformance Checking for Time-Series-Aware Processes.
IEEE Trans. Ind. Informatics, 2021

2020
Decision Tree-Based Classification for Planetary Gearboxes' Condition Monitoring with the Use of Vibration Data in Multidimensional Symptom Space.
Sensors, 2020

Cluster Discovery from Sensor Data Incorporating Expert Knowledge.
Proceedings of the International Workshop on Knowledge Representation and Representation Learning co-located with the 24th European Conference on Artificial Intelligence (ECAI 2020), 2020

2018
On the Opportunities for Using Mobile Devices for Activity Monitoring and Understanding in Mining Applications.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

Creation of an Event Log from a Low-Level Machinery Monitoring System for Process Mining Purposes.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

2014
A Modern Tool for Modelling and Optimisation of Production in Underground Coal Mine.
Proceedings of the eScience on Distributed Computing Infrastructure, 2014


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