| 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 | 231 | 2014 |
| 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 | 106 | 2019 |
| 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 | 58 | 2016 |
| 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 | 45 | 2017 |
| Profiling android vulnerabilities M Jimenez, M Papadakis, TFDA Bissyande, J Klein 2016 IEEE International Conference on Software Quality, Reliability and …, 2016 | 44 | 2016 |
| 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 | 42 | 2016 |
| [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 | 37 | 2018 |
| 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 | 33 | 2018 |
| 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 | 29 | 2018 |
| 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 | 25 | 2022 |
| Evaluating Vulnerability Prediction Models M Jimenez University of Luxembourg, Luxembourg, 2018 | 18 | 2018 |
| 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 | 17 | 2022 |
| 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 | 14 | 2020 |
| TUNA: TUning Naturalness-based Analysis M Jimenez, M Cordy, Y Le Traon, M Papadakis 34th IEEE International Conference on Software Maintenance and Evolution …, 2018 | 8 | 2018 |
| 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 | 1 | 2020 |
| 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, ... | | |
Yves Le TraonProfessor of Computer Science, University of LuxembourgAdresse e-mail validée de uni.lu
