João R. Campos

27 papers A 5B 1C 3Misc 3Journal 8Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Leveraging Large Language Models for Trustworthiness Assessment of Web Applications.
CoRR
Oleksandr Yarotskyi, José D'Abruzzo Pereira, João R. Campos
2025 A conf
Beyond Functional Correctness: An Empirical Evaluation of Large Language Models for Text-to-Code Generation.
ISSRE
Rodrigo Pato Nogueira, Marco Vieira, João R. Campos
2025 J jnl
Predicting Failures in Complex Systems.
Computer
João R. Campos, Ernesto Costa, Marco Vieira
2025 C conf
Selecting a Data Warehouse Provider: A Daunting Task.
DATA
João Ferreira, Nuno Lourenço, João R. Campos
2025 J jnl
Toward using cyber threat intelligence with machine and deep learning for IoT security: a comprehensive study.
J. Supercomput.
Milton de Lima, Carlos Viana, Wellison R. M. Santos, Flávio Neves, João R. Campos, Fernando Aires
2025 — conf
Towards a Minimum Security Baseline for Cyber-Physical Systems Through Security Standards Harmonization.
LADC
Henrique A. Fonseca, João R. Campos, Regina Moraes
2025 A conf
Towards the Assessment of Task-based Chatbots: From the TOFU-R Snapshot to the BRASATO Curated Dataset.
ISSRE
Elena Masserini, Diego Clerissi, Daniela Micucci, João R. Campos, Leonardo Mariani
2025 J jnl
Towards the Assessment of Task-based Chatbots: From the TOFU-R Snapshot to the BRASATO Curated Dataset.
CoRR
Elena Masserini, Diego Clerissi, Daniela Micucci, João R. Campos, Leonardo Mariani
2024 — conf
Towards Improved Perception System's Generalization Through Generative Artificial Intelligence.
ISSRE (Workshops)
Jiawei Wang, João R. Campos, Henrique Madeira
2024 J jnl
Visualisation of Random Forest classification.
Inf. Vis.
Catarina Maçãs, João R. Campos, Nuno Lourenço, Penousal Machado
2023 C conf
A Machine Learning driven Fault Tolerance Mechanism for UAVs' Flight Controller.
PRDC
Anamta Khan, João R. Campos, Naghmeh Ivaki, Henrique Madeira
2023 — conf
Advanced Machine Learning for Runtime Data Generation.
LADC
Bukhtawar Zamir, João R. Campos, Marco Vieira
2023 — conf
Leveraging Time Series Autocorrelation Through Numerical Differentiation for Improving Failure Prediction.
LADC
João R. Campos, Rodrigo Machado, Marco Vieira
2023 A conf
Online Failure Prediction Through Fault Injection and Machine Learning: Methodology and Case Study.
ISSRE
João R. Campos, Ernesto Costa, Marco Vieira
2023 J jnl
Online Failure Prediction for Complex Systems: Methodology and Case Studies.
IEEE Trans. Dependable Secur. Comput.
João R. Campos, Ernesto Costa, Marco Vieira
2023 C conf
Understanding the Forest: A Visualization Tool to Support Decision Tree Analysis.
IV
Catarina Maçãs, João R. Campos, Nuno Lourenço
2022 — conf
A Dataset of Linux Failure Data for Dependability Evaluation and Improvement.
DSN Workshops
João R. Campos, Ernesto Costa, Marco Vieira
2022 Misc conf
On the Applicability of Machine Learning-based Online Failure Prediction for Modern Complex Systems.
EDCC
João R. Campos, Ernesto Costa, Marco Vieira
2021 Misc conf
Machine Learning to Combine Static Analysis Alerts with Software Metrics to Detect Security Vulnerabilities: An Empirical Study.
EDCC
José D'Abruzzo Pereira, João R. Campos, Marco Vieira
2020 A conf
Fault Injection to Generate Failure Data for Failure Prediction: A Case Study.
ISSRE
João R. Campos, Ernesto Costa
2020 B conf
On Configuring a Testbed for Dependability Experiments: Guidelines and Fault Injection Case Study.
SAFECOMP
João R. Campos, Ernesto Costa, Marco Vieira
2019 — conf
An Exploratory Study on Machine Learning to Combine Security Vulnerability Alerts from Static Analysis Tools.
LADC
José D'Abruzzo Pereira, João R. Campos, Marco Vieira
2019 J jnl
Improving Failure Prediction by Ensembling the Decisions of Machine Learning Models: A Case Study.
IEEE Access
João R. Campos, Ernesto Costa, Marco Vieira
2019 A conf
Propheticus: Machine Learning Framework for the Development of Predictive Models for Reliable and Secure Software.
ISSRE
João R. Campos, Marco Vieira, Ernesto Costa
2018 Misc conf
Exploratory Study of Machine Learning Techniques for Supporting Failure Prediction.
EDCC
João R. Campos, Marco Vieira, Ernesto Costa
2018 J jnl
Propheticus: Generalizable Machine Learning Framework.
CoRR
João R. Campos, Marco Vieira, Ernesto Costa
2011 — conf
A Study on Population's Diversity for Dynamic Environments.
ICANNGA (1)
Anabela Simões, Rui Carvalho, João R. Campos, Ernesto Costa