João R. Campos

According to our database, João R. Campos authored at least 18 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Visualisation of Random Forest classification.

Catarina Maçãs, João R. Campos, Nuno Lourenço, Penousal Machado

Inf. Vis., 2024

2023

Online Failure Prediction for Complex Systems: Methodology and Case Studies.

João R. Campos, Ernesto Costa, Marco Vieira

IEEE Trans. Dependable Secur. Comput., 2023

A Machine Learning driven Fault Tolerance Mechanism for UAVs' Flight Controller.

Anamta Khan, João R. Campos, Naghmeh Ivaki, Henrique Madeira

Proceedings of the 28th IEEE Pacific Rim International Symposium on Dependable Computing, 2023

Advanced Machine Learning for Runtime Data Generation.

Bukhtawar Zamir, João R. Campos, Marco Vieira

Proceedings of the 12th Latin-American Symposium on Dependable and Secure Computing, 2023

Leveraging Time Series Autocorrelation Through Numerical Differentiation for Improving Failure Prediction.

João R. Campos, Rodrigo Machado, Marco Vieira

Proceedings of the 12th Latin-American Symposium on Dependable and Secure Computing, 2023

Understanding the Forest: A Visualization Tool to Support Decision Tree Analysis.

Catarina Maçãs, João R. Campos, Nuno Lourenço

Proceedings of the 27th International Conference Information Visualisation, 2023

Online Failure Prediction Through Fault Injection and Machine Learning: Methodology and Case Study.

João R. Campos, Ernesto Costa, Marco Vieira

Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

2022

On the Applicability of Machine Learning-based Online Failure Prediction for Modern Complex Systems.

João R. Campos, Ernesto Costa, Marco Vieira

Proceedings of the 18th European Dependable Computing Conference, 2022

A Dataset of Linux Failure Data for Dependability Evaluation and Improvement.

João R. Campos, Ernesto Costa, Marco Vieira

Proceedings of the 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2022

2021

Machine Learning to Combine Static Analysis Alerts with Software Metrics to Detect Security Vulnerabilities: An Empirical Study.

José D'Abruzzo Pereira, João R. Campos, Marco Vieira

Proceedings of the 17th European Dependable Computing Conference, 2021

2020

On Configuring a Testbed for Dependability Experiments: Guidelines and Fault Injection Case Study.

João R. Campos, Ernesto Costa, Marco Vieira

Proceedings of the Computer Safety, Reliability, and Security, 2020

Fault Injection to Generate Failure Data for Failure Prediction: A Case Study.

João R. Campos, Ernesto Costa

Proceedings of the 31st IEEE International Symposium on Software Reliability Engineering, 2020

2019

Improving Failure Prediction by Ensembling the Decisions of Machine Learning Models: A Case Study.

João R. Campos, Ernesto Costa, Marco Vieira

IEEE Access, 2019

An Exploratory Study on Machine Learning to Combine Security Vulnerability Alerts from Static Analysis Tools.

José D'Abruzzo Pereira, João R. Campos, Marco Vieira

Proceedings of the 9th Latin-American Symposium on Dependable Computing, 2019

Propheticus: Machine Learning Framework for the Development of Predictive Models for Reliable and Secure Software.

João R. Campos, Marco Vieira, Ernesto Costa

Proceedings of the 30th IEEE International Symposium on Software Reliability Engineering, 2019

2018

Propheticus: Generalizable Machine Learning Framework.

João R. Campos, Marco Vieira, Ernesto Costa

CoRR, 2018

Exploratory Study of Machine Learning Techniques for Supporting Failure Prediction.

João R. Campos, Marco Vieira, Ernesto Costa

Proceedings of the 14th European Dependable Computing Conference, 2018

2011

A Study on Population's Diversity for Dynamic Environments.

Anabela Simões, Rui Carvalho, João R. Campos, Ernesto Costa

Proceedings of the Adaptive and Natural Computing Algorithms, 2011