João R. Campos

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 16

Top Topics

Machine Learning

Fault Injection

Failure Prediction

Top Venues

Publications

João R. Campos, Ernesto Costa, Marco Vieira
Online Failure Prediction Through Fault Injection and Machine Learning: Methodology and Case Study. ISSRE (2023)
Anamta Khan, João R. Campos, Naghmeh Ivaki, Henrique Madeira
A Machine Learning driven Fault Tolerance Mechanism for UAVs' Flight Controller. PRDC (2023)
Catarina Maçãs, João R. Campos, Nuno Lourenço
Understanding the Forest: A Visualization Tool to Support Decision Tree Analysis. IV (2023)
Bukhtawar Zamir, João R. Campos, Marco Vieira
Advanced Machine Learning for Runtime Data Generation. LADC (2023)
João R. Campos, Rodrigo Machado, Marco Vieira
Leveraging Time Series Autocorrelation Through Numerical Differentiation for Improving Failure Prediction. LADC (2023)
João R. Campos, Ernesto Costa, Marco Vieira
Online Failure Prediction for Complex Systems: Methodology and Case Studies. IEEE Trans. Dependable Secur. Comput. 20 (4) (2023)
João R. Campos, Ernesto Costa, Marco Vieira
A Dataset of Linux Failure Data for Dependability Evaluation and Improvement. DSN Workshops (2022)
João R. Campos, Ernesto Costa, Marco Vieira
On the Applicability of Machine Learning-based Online Failure Prediction for Modern Complex Systems. EDCC (2022)
José D'Abruzzo Pereira, João R. Campos, Marco Vieira
Machine Learning to Combine Static Analysis Alerts with Software Metrics to Detect Security Vulnerabilities: An Empirical Study. EDCC (2021)
João R. Campos, Ernesto Costa
Fault Injection to Generate Failure Data for Failure Prediction: A Case Study. ISSRE (2020)
João R. Campos, Ernesto Costa, Marco Vieira
On Configuring a Testbed for Dependability Experiments: Guidelines and Fault Injection Case Study. SAFECOMP (2020)
José D'Abruzzo Pereira, João R. Campos, Marco Vieira
An Exploratory Study on Machine Learning to Combine Security Vulnerability Alerts from Static Analysis Tools. LADC (2019)
João R. Campos, Ernesto Costa, Marco Vieira
Improving Failure Prediction by Ensembling the Decisions of Machine Learning Models: A Case Study. IEEE Access 7 (2019)
João R. Campos, Marco Vieira, Ernesto Costa
Propheticus: Machine Learning Framework for the Development of Predictive Models for Reliable and Secure Software. ISSRE (2019)
João R. Campos, Marco Vieira, Ernesto Costa
Exploratory Study of Machine Learning Techniques for Supporting Failure Prediction. EDCC (2018)
João R. Campos, Marco Vieira, Ernesto Costa
Propheticus: Generalizable Machine Learning Framework. CoRR (2018)
Anabela Simões, Rui Carvalho, João R. Campos, Ernesto Costa
A Study on Population's Diversity for Dynamic Environments. ICANNGA (1) (2011)