| A little bird told me: Mining tweets for requirements and software evolution E Guzman, M Ibrahim, M Glinz 2017 IEEE 25th International requirements engineering conference (RE), 11-20, 2017 | 162 | 2017 |
| Leveraging machine learning approaches for predicting antidepressant treatment response using electroencephalography (EEG) and clinical data N Jaworska, S De la Salle, MH Ibrahim, P Blier, V Knott Frontiers in psychiatry 9, 768, 2019 | 106 | 2019 |
| Prioritizing user feedback from twitter: A survey report E Guzman, M Ibrahim, M Glinz 2017 IEEE/ACM 4th International Workshop on CrowdSourcing in Software …, 2017 | 32 | 2017 |
| Impact of sampling technique on the performance of surrogate models generated with artificial neural network (ANN): A case study for a natural gas stabilization unit M Ibrahim, S Al-Sobhi, R Mukherjee, A AlNouss Energies 12 (10), 1906, 2019 | 29 | 2019 |
| Leveraging machine learning approaches for predicting potential Lyme disease cases and incidence rates in the United States using Twitter MHIBN Srikanth Boligarla, Elda Kokoè Elolo Laison, Jiaxin Li, Raja Mahadevan ... BMC Medical Informatics and Decision Making 23 (217), 1-12, 0 | 22* | |
| Detecting communities in social networks using concept interestingness MH Ibrahim, R Missaoui, A Messaoudi Proceedings of the 28th annual international conference on computer science …, 2018 | 14 | 2018 |
| Identifying influential nodes in two-mode data networks using formal concept analysis MH Ibrahim, R Missaoui, J Vaillancourt IEEE Access 9, 159549-159565, 2021 | 12 | 2021 |
| Cross-face centrality: A new measure for identifying key nodes in networks based on formal concept analysis MH Ibrahim, R Missaoui, J Vaillancourt IEEE Access 8, 206901-206913, 2020 | 12 | 2020 |
| Mining twitter messages for software evolution E Guzman, M Ibrahim, M Glinz 2017 IEEE/ACM 39th International Conference on Software Engineering …, 2017 | 12 | 2017 |
| Approximating concept stability using variance reduction techniques MH Ibrahim, R Missaoui Discrete Applied Mathematics 273, 117-135, 2020 | 7 | 2020 |
| Computing triadic generators and association rules from triadic contexts R Missaoui, PHB Ruas, L Kwuida, MAJ Song, MH Ibrahim Annals of Mathematics and Artificial Intelligence 90 (11), 1083-1105, 2022 | 6 | 2022 |
| An efficient approximation of concept stability using low-discrepancy sampling MH Ibrahim, R Missaoui International Conference on Conceptual Structures, 24-38, 2018 | 5 | 2018 |
| Leveraging Pruning Techniques for Improving Generalized HMM Decoding in Gene Classification MHIAM Khedr International Journal of Biomedical Data Mining 7 (133), 2018 | 5 | 2018 |
| Improving probabilistic inference in graphical models with determinism and cycles MH Ibrahim, C Pal, G Pesant Machine Learning 106 (1), 1-54, 2017 | 5 | 2017 |
| Detecting communities in complex networks using formal concept analysis R Missaoui, A Messaoudi, MH Ibrahim, T Abdessalem Advances in Knowledge Discovery and Management: Volume 9, 77-105, 2022 | 4 | 2022 |
| Conceptual relevance index for identifying actionable formal concepts MH Ibrahim, R Missaoui, J Vaillancourt International Conference on Conceptual Structures, 119-126, 2021 | 4 | 2021 |
| LPB: A New Decoding Algorithm for Improving the Performance of an HMM in Gene Finding Application AM Khedr, MH Ibrahim, A Al Ali International Journal of Computer Science, 2020 | 4 | 2020 |
| Detecting Overlapping Communities in Two-mode Data Networks using Formal Concept Analysis A Messaoudi, R Missaoui, MH Ibrahim Revue des Nouvelles Technologies de l'Information, Extraction et Gestion des …, 2019 | 4 | 2019 |
| Improving the performance of an HMM for protein family modelling MH El-Sayed, AM Khedr Applied Sci 7, 1626-1632, 2007 | 4 | 2007 |
| Title M Ibrahim Kayan for Publishing, 2024 | 2 | 2024 |
Rokia MissaouiProfessor of Computer Science, University of Quebec in Outaouais (UQO)Verified email at uqo.ca
