Antonio Martínez-Rojas

Orcid: 0000-0002-2782-9893

According to our database1, Antonio Martínez-Rojas authored at least 13 papers between 2019 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
A screenshot-based task mining framework for disclosing the drivers behind variable human actions.
Inf. Syst., March, 2024

Control and Monitoring of Software Robots: What Can Academia and Industry Learn from Each Other?
Proceedings of the Research Challenges in Information Science, 2024

2023
Automatic generation of incremental taxonomies for supporting the users in the development of an RPA project.
Knowl. Inf. Syst., September, 2023

A Tool Supported Method to Generate User Interface Logs.
Proceedings of the 56th Hawaii International Conference on System Sciences, 2023

What Are You Gazing At? An Approach to Use Eye-Tracking for Robotic Process Automation.
Proceedings of the Business Process Management: Blockchain, Robotic Process Automation and Educators Forum, 2023

BPM Hub: An Open Collection of UI logs.
Proceedings of the Best Dissertation Award, 2023

2022
Incorporating the User Attention in User Interface Logs.
Proceedings of the 18th International Conference on Web Information Systems and Technologies, 2022

Analyzing Variable Human Actions for Robotic Process Automation.
Proceedings of the Business Process Management - 20th International Conference, 2022

Looking for the Why in Event Logs for Robotic Process Automation.
Proceedings of the Best Dissertation Award, 2022

2021
AIRPA: An Architecture to Support the Execution and Maintenance of AI-Powered RPA Robots.
Proceedings of the Business Process Management: Blockchain and Robotic Process Automation Forum, 2021

2020
A Unified Model Representation of Machine Learning Knowledge.
J. Web Eng., 2020

Towards a Taxonomy of Cognitive RPA Components.
Proceedings of the Business Process Management: Blockchain and Robotic Process Automation Forum, 2020

2019
Towards a Unified Model Representation of Machine Learning Knowledge.
Proceedings of the 15th International Conference on Web Information Systems and Technologies, 2019


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