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Sawsan Kanj

Editing training data for multi-label classification with the k-nearest neighbor rule
2015 · Sawsan Kanj, Fahed Abdallah, et al. · Pattern Analysis and Applications · 63
A Novel Dynamic Approach for Risk Analysis and Simulation Using Multi-Agents Model
2022 · Hassan Kanj, Wael Hosny Fouad Aly, et al. · Applied Sciences · 21
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A scalable assembly-free variable selection algorithm for biomarker discovery from metagenomes
2016 · Anestis Gkanogiannis, Stéphane Gazut, et al. · BMC Bioinformatics · 16
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Dynamic Decision Making Process for Dangerous Good Transportation Using a Combination of TOPSIS and AHP Methods With Fuzzy Sets
2024 · Hassan Kanj, Yehia Kotb, et al. · IEEE Access · 15
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Agent-based risk analysis model for road transportation of dangerous goods
2025 · Hassan Kanj, Ajla Kulaglic, et al. · Results in Engineering · 12
Shared Nearest Neighbor Clustering in a Locality Sensitive Hashing Framework
2017 · Sawsan Kanj, Thomas Brüls, et al. · Journal of Computational Biology · 10
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Evidential Multi-label Classification Using the Random k-Label Sets Approach
2012 · Sawsan Kanj, Fahed Abdallah, et al. · Advances in intelligent and soft computing · 10
Purifying training data to improve performance of multi-label classification algorithms
2012 · Sawsan Kanj, Fahed Abdallah, et al. · 3
Learning methods for multi-label classification
2013 · Sawsan Kanj · theses.fr (ABES) · 2
Additional file 2: of A scalable assembly-free variable selection algorithm for biomarker discovery from metagenomes
2016 · Gkanogiannis, Anestis, Gazut, Stéphane, et al. · Figshare
Additional file 1: of A scalable assembly-free variable selection algorithm for biomarker discovery from metagenomes
2016 · Gkanogiannis, Anestis, Gazut, Stéphane, et al. · Figshare
Works count: 14
Citation count: 152
H-index: 7
I10-index: 7
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