| 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 | 22 | 2018 |
| 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 | 16 | 2019 |
| 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 | 15 | 2019 |
| 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 | 14 | 2019 |
| 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 | 12 | 2021 |
| 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 | 11 | 2020 |
| Online failure prediction for complex systems: Methodology and case studies JR Campos, E Costa, M Vieira IEEE Transactions on Dependable and Secure Computing 20 (4), 3520-3534, 2022 | 4 | 2022 |
| 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 | 4 | 2020 |
| 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 | 3 | 2011 |
| 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 | 2 | 2022 |
| 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 | 1 | 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 | 1 | 2023 |
| 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 | 1 | 2022 |
| Advanced Online Failure Prediction Through Machine Learning JR de Campos PQDT-Global, 2021 | 1 | 2021 |
| Prediction of mitochondrial toxicity indexes for pharmacological compounds JR de Campos PQDT-Global, 2017 | 1 | 2017 |
| Visualisation of Random Forest classification C Maçãs, JR Campos, N Lourenço, P Machado Information Visualization 23 (4), 312-327, 2024 | | 2024 |
| 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 |
| 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 |
| Propheticus: Generalizable Machine Learning Framework JR Campos, M Vieira, E Costa arXiv preprint arXiv:1809.01898, 2018 | | 2018 |
Marco VieiraUniversity of North Carolina at Charlotte, University of CoimbraGeverifieerd e-mailadres voor uncc.edu
