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Matthieu Jimenez
Matthieu Jimenez
FSTM, University of Luxembourg
Adresse e-mail validée de jimenez.lu - Page d'accueil
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An architecture to support the collection of big data in the internet of things
C Cecchinel, M Jimenez, S Mosser, M Riveill
2014 IEEE world congress on services, 442-449, 2014
2202014
The importance of accounting for real-world labelling when predicting software vulnerabilities
M Jimenez, R Rwemalika, M Papadakis, F Sarro, Y Le Traon, M Harman
Proceedings of the 2019 27th ACM Joint Meeting on European Software …, 2019
972019
Vulnerability prediction models: A case study on the linux kernel
M Jimenez, M Papadakis, Y Le Traon
2016 IEEE 16th International Working Conference on Source Code Analysis and …, 2016
552016
Analyzing complex data in motion at scale with temporal graphs
T Hartmann, F Fouquet, M Jimenez, R Rouvoy, Y Le Traon
The 29th International Conference on Software Engineering & Knowledge …, 2017
442017
Profiling android vulnerabilities
M Jimenez, M Papadakis, TFDA Bissyande, J Klein
2016 IEEE International Conference on Software Quality, Reliability and …, 2016
432016
An empirical analysis of vulnerabilities in openssl and the linux kernel
M Jimenez, M Papadakis, Y Le Traon
2016 23rd Asia-Pacific Software Engineering Conference (APSEC), 105-112, 2016
382016
[engineering paper] enabling the continuous analysis of security vulnerabilities with vuldata7
M Jimenez, Y Le Traon, M Papadakis
2018 IEEE 18th International Working Conference on Source Code Analysis and …, 2018
362018
On the impact of tokenizer and parameters on n-gram based code analysis
M Jimenez, C Maxime, Y Le Traon, M Papadakis
2018 IEEE International Conference on Software Maintenance and Evolution …, 2018
312018
Are mutants really natural? A study on how “naturalness” helps mutant selection
M Jimenez, T Titcheu Chekam, M Cordy, M Papadakis, M Kintis, ...
12th International Symposium on Empirical Software Engineering and …, 2018
262018
Learning from what we know: How to perform vulnerability prediction using noisy historical data
A Garg, R Degiovanni, M Jimenez, M Cordy, M Papadakis, Y Le Traon
Empirical Software Engineering 27 (7), 169, 2022
202022
Evaluating Vulnerability Prediction Models
M Jimenez
University of Luxembourg, Luxembourg, 2018
182018
Learning to predict vulnerabilities from vulnerability-fixes: A machine translation approach
A Garg, R Degiovanni, M Jimenez, M Cordy, M Papadakis, Y Le Traon
arXiv preprint arXiv:2012.11701 326, 2020
122020
Codebert-nt: code naturalness via codebert
A Khanfir, M Jimenez, M Papadakis, Y Le Traon
2022 IEEE 22nd International Conference on Software Quality, Reliability and …, 2022
102022
TUNA: TUning Naturalness-based Analysis
M Jimenez, M Cordy, Y Le Traon, M Papadakis
34th IEEE International Conference on Software Maintenance and Evolution …, 2018
82018
Learning from what we know: How to perform vulnerability prediction using noisy historical data
A Garg, R Degiovanni, M Jimenez, M Cordy, M Papadakis, YL Traon
arXiv preprint arXiv:2012.11701, 2020
12020
Robustness Analysis of AI Models in Critical Energy Systems
P Dogoulis, M Jimenez, S Ghamizi, M Cordy, YL Traon
arXiv preprint arXiv:2406.14361, 2024
2024
Faster and Cheaper Energy Demand Forecasting at Scale
F Bernier, M Jimenez, M Cordy, Y Le Traon
Has it Trained Yet? Workshop at the Conference on Neural Information …, 2022
2022
SCAM 2023
A Inquiad, A Schultheiß, D Corradini, J Schneider, K Alam, M Jimenez, ...
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