Evaluating representation learning of code changes for predicting patch correctness in program repair H Tian, K Liu, AK Kaboré, A Koyuncu, L Li, J Klein, TF Bissyandé Proceedings of the 35th IEEE/ACM International Conference on Automated …, 2020 | 107 | 2020 |
DexRay: A Simple, yet Effective Deep Learning Approach to Android Malware Detection Based on Image Representation of Bytecode N Daoudi, J Samhi, AK Kabore, K Allix, TF Bissyandé, J Klein Deployable Machine Learning for Security Defense: Second International …, 2021 | 37 | 2021 |
Predicting patch correctness based on the similarity of failing test cases H Tian, Y Li, W Pian, AK Kabore, K Liu, A Habib, J Klein, TF Bissyandé ACM Transactions on Software Engineering and Methodology (TOSEM) 31 (4), 1-30, 2022 | 23 | 2022 |
The best of both worlds: Combining learned embeddings with engineered features for accurate prediction of correct patches H Tian, K Liu, Y Li, AK Kaboré, A Koyuncu, A Habib, L Li, J Wen, J Klein, ... ACM Transactions on Software Engineering and Methodology 32 (4), 1-34, 2023 | 18 | 2023 |
What you see is what it means! semantic representation learning of code based on visualization and transfer learning P Keller, AK Kaboré, L Plein, J Klein, Y Le Traon, TF Bissyande ACM Transactions on Software Engineering and Methodology (TOSEM) 31 (2), 1-34, 2021 | 17 | 2021 |
Early Detection of Security-Relevant Bug Reports using Machine Learning: How Far Are We? AD Sawadogo, Q Guimard, TF Bissyandé, AK Kaboré, J Klein, N Moha arXiv preprint arXiv:2112.10123, 2021 | 5 | 2021 |
Negative results of fusing code and documentation for learning to accurately identify sensitive source and sink methods: An application to the android framework for data leak … J Samhi, M Kober, AK Kabore, S Arzt, TF Bissyandé, J Klein 2023 IEEE International Conference on Software Analysis, Evolution and …, 2023 | 3 | 2023 |
Checking patch behaviour against test specification H Tian, Y Li, W Pian, AK Kaboré, K Liu, J Klein, TF Bissyande arXiv preprint arXiv:2107.13296, 2021 | 2 | 2021 |
L'image des soins au CHU de Tengandogo affichée par les médias: un décalage avec la réalité de la prise en charge? B Bila, A Bila, A Bonkoungou, A Kabore, A Desclaux, K Sow Actes du colloque sur la Covid-19: réagir à la pandémie de Covid-19 …, 2021 | 2 | 2021 |
CodeGrid: A Grid Representation of Code AK Kaboré, ET Barr, J Klein, TF Bissyandé Proceedings of the 32nd ACM SIGSOFT International Symposium on Software …, 2023 | 1 | 2023 |
Negative Results of Fusing Code and Documentation for Learning to Accurately Identify Sensitive Source and Sink Methods J Samhi, M Kober, AK Kabore, S Arzt, TF Bissyandé, J Klein 2023 30th edition of the IEEE International Conference on Software Analysis …, 2023 | 1 | 2023 |
Neural Vulnerable Program Repair AK KABORE Unilu-University of Luxembourg, 2024 | | 2024 |
AI-driven Generation of News Summaries: Leveraging GPT and Pegasus Summarizer for Efficient Information Extraction IF Compaore, R Kafando, A Sabané, AK Kabore, TF Bissyandé | | 2024 |
Voice Interaction in Moore Language Study on Isolated Word Recognition in Audio Samples M Kabore, R Kafando, A Sabane, AK Kabore, TF Bissyande | | 2024 |
Neural Machine Translation for Mooré, a Low-Resource Language HJ Ouily, A Sabané, DE Birba, R Kafando, AK Kabore, TF Bissyandé | | 2024 |
A Low-Resource Language Translation: French To Mooré HJ Ouily, A Sabané, DE Birba, R Kafando, AK Kabore, TF Bissyandé | | 2024 |
Cyber Threat's detection using Machine Learning Algorithms WC Tapsoba, D Bassole, R Kafando, AK Kabore, A Sabané, ... | | 2024 |
A comparison of AI methods for Groundwater Level Prediction in Burkina Faso AA Bonkoungou, S Zio, R Kafando, AK Kabore, A Sabané, TF Bissyandé | | 2024 |
Detecting Illicit Data Leaks on Android Smartphones Using an Artificial Intelligence Model SL Nikiema, A Sabané, AK Kabore, R Kafando, TF Bissyandé | | 2024 |
Artificial Intelligence for the Analysis of the Security Situation in Burkina Faso⋆ AF Kaboré, M Ouattara, R Kafando, AK Kaboré, TF Bissyandé | | 2024 |