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João R. Campos
João R. Campos
Assistant Professor, University of Coimbra
Verified email at dei.uc.pt - Homepage
Title
Cited by
Cited by
Year
Exploratory study of machine learning techniques for supporting failure prediction
JR Campos, M Vieira, E Costa
2018 14th European Dependable Computing Conference (EDCC), 9-16, 2018
232018
An exploratory study on machine learning to combine security vulnerability alerts from static analysis tools
JDA Pereira, JR Campos, M Vieira
2019 9th Latin-American Symposium on Dependable Computing (LADC), 1-10, 2019
132019
Propheticus: Machine learning framework for the development of predictive models for reliable and secure software
JR Campos, M Vieira, E Costa
2019 IEEE 30th International Symposium on Software Reliability Engineering …, 2019
122019
Fault injection to generate failure data for failure prediction: A case study
JR Campos, E Costa
2020 IEEE 31st International Symposium on Software Reliability Engineering …, 2020
112020
Improving failure prediction by ensembling the decisions of machine learning models: a case study
JR Campos, E Costa, M Vieira
IEEE Access 7, 177661-177674, 2019
102019
Machine learning to combine static analysis alerts with software metrics to detect security vulnerabilities: An empirical study
JDA Pereira, JR Campos, M Vieira
2021 17th European Dependable Computing Conference (EDCC), 1-8, 2021
92021
On configuring a testbed for dependability experiments: Guidelines and fault injection case study
JR Campos, E Costa, M Vieira
International Conference on Computer Safety, Reliability, and Security, 419-433, 2020
42020
A study on population’s diversity for dynamic environments
A Simões, R Carvalho, J Campos, E Costa
Adaptive and Natural Computing Algorithms: 10th International Conference …, 2011
32011
On the Applicability of Machine Learning-based Online Failure Prediction for Modern Complex Systems
JR Campos, E Costa, M Vieira
2022 18th European Dependable Computing Conference (EDCC), 49-56, 2022
22022
Online Failure Prediction for Complex Systems: Methodology and Case Studies
JR Campos, E Costa, M Vieira
IEEE Transactions on Dependable and Secure Computing, 2022
22022
A Dataset of Linux Failure Data for Dependability Evaluation and Improvement
JR Campos, E Costa, M Vieira
2022 52nd Annual IEEE/IFIP International Conference on Dependable Systems …, 2022
12022
Advanced Online Failure Prediction Through Machine Learning
JR Campos
00500:: Universidade de Coimbra, 2022
12022
Prediction of mitochondrial toxicity indexes for pharmacological compounds
JR Campos
Prediction of Mitochondrial Toxicity Indexes for Pharmacological Compounds, 2017
12017
A Machine Learning driven Fault Tolerance Mechanism for UAVs’ Flight Controller
A Khan, JR Campos, N Ivaki, H Madeira
2023 IEEE 28th Pacific Rim International Symposium on Dependable Computing …, 2023
2023
Advanced Machine Learning for Runtime Data Generation
B Zamir, JR Campos, M Vieira
Proceedings of the 12th Latin-American Symposium on Dependable and Secure …, 2023
2023
Leveraging Time Series Autocorrelation Through Numerical Differentiation for Improving Failure Prediction
JR Campos, R Machado, M Vieira
Proceedings of the 12th Latin-American Symposium on Dependable and Secure …, 2023
2023
Online Failure Prediction Through Fault Injection and Machine Learning: Methodology and Case Study
JR Campos, E Costa, M Vieira
2023 IEEE 34th International Symposium on Software Reliability Engineering …, 2023
2023
Understanding the Forest: A Visualization Tool to Support Decision Tree Analysis
C Maças, JR Campos, N Lourenço
2023 27th International Conference Information Visualisation (IV), 223-229, 2023
2023
Propheticus: Generalizable Machine Learning Framework
JR Campos, M Vieira, E Costa
arXiv preprint arXiv:1809.01898, 2018
2018
2023 IEEE 28th Pacific Rim International Symposium on Dependable Computing (PRDC)| 979-8-3503-5876-6/23/$31.00© 2023 IEEE| DOI: 10.1109/PRDC59308. 2023.00059
MI Alkoudsi, D Andrade, N Antunes, T Aoki, M Aramrattana, T Asaji, ...
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