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Mohamed-Hamza Ibrahim, PhD
Mohamed-Hamza Ibrahim, PhD
École Polytechnique de Montréal, University of Montreal, Canada
Verified email at polymtl.ca - Homepage
Title
Cited by
Cited by
Year
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
1552017
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
812019
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
312017
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
222019
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
122018
Identifying influential nodes in two-mode data networks using formal concept analysis
MH Ibrahim, R Missaoui, J Vaillancourt
IEEE Access 9, 159549-159565, 2021
102021
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
102020
Mining twitter messages for software evolution
E Guzman, M Ibrahim, M Glinz
2017 IEEE/ACM 39th International Conference on Software Engineering …, 2017
92017
Approximating concept stability using variance reduction techniques
MH Ibrahim, R Missaoui
Discrete Applied Mathematics 273, 117-135, 2020
62020
An efficient approximation of concept stability using low-discrepancy sampling
MH Ibrahim, R Missaoui
Graph-Based Representation and Reasoning: 23rd International Conference on …, 2018
52018
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
5*
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
42019
Leveraging Pruning Techniques for Improving Generalized HMM Decoding in Gene Classification
MHIAM Khedr
International Journal of Biomedical Data Mining 7 (133), 2018
42018
Improving the performance of an HMM for protein family modelling
MH El-Sayed, AM Khedr
Applied Sci 7, 1626-1632, 2007
42007
Conceptual relevance index for identifying actionable formal concepts
MH Ibrahim, R Missaoui, J Vaillancourt
International Conference on Conceptual Structures, 119-126, 2021
32021
Improving probabilistic inference in graphical models with determinism and cycles
MH Ibrahim, C Pal, G Pesant
Machine Learning 106, 1-54, 2017
32017
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
22022
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
22022
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
22020
Detecting Local Community Structures in Social Networks Using Concept Interestingness
MH Ibrahim, R Missaoui, A Messaoudi
arXiv preprint arXiv:1902.03109, 2019
22019
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Articles 1–20