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2020 – today
- 2024
[j3]Catarina Maçãs
, João R. Campos, Nuno Lourenço, Penousal Machado:
Visualisation of Random Forest classification. Inf. Vis. 23(4): 312-327 (2024)- [c15]Jiawei Wang, João R. Campos, Henrique Madeira:
Towards Improved Perception System's Generalization Through Generative Artificial Intelligence. ISSRE (Workshops) 2024: 345-352 - 2023
- [j2]João R. Campos, Ernesto Costa, Marco Vieira:
Online Failure Prediction for Complex Systems: Methodology and Case Studies. IEEE Trans. Dependable Secur. Comput. 20(4): 3520-3534 (2023) - [c14]João R. Campos, Ernesto Costa, Marco Vieira:
Online Failure Prediction Through Fault Injection and Machine Learning: Methodology and Case Study. ISSRE 2023: 451-461 - [c13]Catarina Maçãs, João R. Campos, Nuno Lourenço:
Understanding the Forest: A Visualization Tool to Support Decision Tree Analysis. IV 2023: 223-229 - [c12]João R. Campos, Rodrigo Machado, Marco Vieira:
Leveraging Time Series Autocorrelation Through Numerical Differentiation for Improving Failure Prediction. LADC 2023: 70-79 - [c11]Bukhtawar Zamir, João R. Campos, Marco Vieira:
Advanced Machine Learning for Runtime Data Generation. LADC 2023: 182-187 - [c10]Anamta Khan, João R. Campos, Naghmeh Ivaki, Henrique Madeira:
A Machine Learning driven Fault Tolerance Mechanism for UAVs' Flight Controller. PRDC 2023: 217-227 - 2022
- [c9]João R. Campos, Ernesto Costa, Marco Vieira:
A Dataset of Linux Failure Data for Dependability Evaluation and Improvement. DSN Workshops 2022: 88-95 - [c8]João R. Campos, Ernesto Costa, Marco Vieira:
On the Applicability of Machine Learning-based Online Failure Prediction for Modern Complex Systems. EDCC 2022: 49-56 - 2021
- [c7]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: 1-8 - 2020
- [c6]João R. Campos, Ernesto Costa:
Fault Injection to Generate Failure Data for Failure Prediction: A Case Study. ISSRE 2020: 115-126 - [c5]João R. Campos, Ernesto Costa, Marco Vieira:
On Configuring a Testbed for Dependability Experiments: Guidelines and Fault Injection Case Study. SAFECOMP 2020: 419-433
2010 – 2019
- 2019
- [j1]João R. Campos, Ernesto Costa, Marco Vieira:
Improving Failure Prediction by Ensembling the Decisions of Machine Learning Models: A Case Study. IEEE Access 7: 177661-177674 (2019) - [c4]João R. Campos, Marco Vieira, Ernesto Costa:
Propheticus: Machine Learning Framework for the Development of Predictive Models for Reliable and Secure Software. ISSRE 2019: 173-182 - [c3]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: 1-10 - 2018
- [c2]João R. Campos, Marco Vieira, Ernesto Costa:
Exploratory Study of Machine Learning Techniques for Supporting Failure Prediction. EDCC 2018: 9-16 - [i1]João R. Campos, Marco Vieira, Ernesto Costa:
Propheticus: Generalizable Machine Learning Framework. CoRR abs/1809.01898 (2018) - 2011
- [c1]Anabela Simões, Rui Carvalho, João R. Campos, Ernesto Costa:
A Study on Population's Diversity for Dynamic Environments. ICANNGA (1) 2011: 300-309
Coauthor Index
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