A Study on Population's Diversity for Dynamic Environments. - Anabela Simões; Rui Carvalho; João R. Campos; Ernesto Costa (ICANNGA (1), 2011)

Exploratory Study of Machine Learning Techniques for Supporting Failure Prediction. - João R. Campos; Marco Vieira; Ernesto Costa (EDCC, 2018)

Propheticus: Generalizable Machine Learning Framework. - João R. Campos; Marco Vieira; Ernesto Costa (CoRR, 2018)

Propheticus: Machine Learning Framework for the Development of Predictive Models for Reliable and Secure Software. - João R. Campos; Marco Vieira; Ernesto Costa (ISSRE, 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 (LADC, 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)

Fault Injection to Generate Failure Data for Failure Prediction: A Case Study. - João R. Campos; Ernesto Costa (ISSRE, 2020)

On Configuring a Testbed for Dependability Experiments: Guidelines and Fault Injection Case Study. - João R. Campos; Ernesto Costa; Marco Vieira (SAFECOMP, 2020)

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 (EDCC, 2021)

A Dataset of Linux Failure Data for Dependability Evaluation and Improvement. - João R. Campos; Ernesto Costa; Marco Vieira (DSN Workshops, 2022)

On the Applicability of Machine Learning-based Online Failure Prediction for Modern Complex Systems. - João R. Campos; Ernesto Costa; Marco Vieira (EDCC, 2022)

Online Failure Prediction Through Fault Injection and Machine Learning: Methodology and Case Study. - João R. Campos; Ernesto Costa; Marco Vieira (ISSRE, 2023)

Understanding the Forest: A Visualization Tool to Support Decision Tree Analysis. - Catarina Maçãs; João R. Campos; Nuno Lourenço 002 (IV, 2023)

Leveraging Time Series Autocorrelation Through Numerical Differentiation for Improving Failure Prediction. - João R. Campos; Rodrigo Machado; Marco Vieira (LADC, 2023)

Advanced Machine Learning for Runtime Data Generation. - Bukhtawar Zamir; João R. Campos; Marco Vieira (LADC, 2023)

A Machine Learning driven Fault Tolerance Mechanism for UAVs' Flight Controller. - Anamta Khan; João R. Campos; Naghmeh Ivaki; Henrique Madeira (PRDC, 2023)

Online Failure Prediction for Complex Systems: Methodology and Case Studies. - João R. Campos; Ernesto Costa; Marco Vieira (IEEE Trans. Dependable Secur. Comput., 2023)

Towards Improved Perception System's Generalization Through Generative Artificial Intelligence. - Jiawei Wang; João R. Campos; Henrique Madeira (ISSRE (Workshops), 2024)

Visualisation of Random Forest classification. - Catarina Maçãs; João R. Campos; Nuno Lourenço 002; Penousal Machado (Inf. Vis., 2024)

Predicting Failures in Complex Systems. - João R. Campos; Ernesto Costa; Marco Vieira (Computer, 2025)

Towards the Assessment of Task-based Chatbots: From the TOFU-R Snapshot to the BRASATO Curated Dataset. - Elena Masserini; Diego Clerissi; Daniela Micucci; João R. Campos; Leonardo Mariani (CoRR, 2025)