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behzad beheshti
behzad beheshti
Data scientist
Verified email at polymtl.ca
Title
Cited by
Cited by
Year
Item to skills mapping: deriving a conjunctive q-matrix from data
MC Desmarais, B Beheshti, R Naceur
Intelligent Tutoring Systems: 11th International Conference, ITS 2012 …, 2012
532012
Methods to Find the Number of Latent Skills.
B Beheshti, MC Desmarais, R Naceur
International Educational Data Mining Society, 2012
352012
The refinement of a Q-matrix: Assessing methods to validate tasks to skills mapping
M Desmarais, B Beheshti, P Xu
Educational Data Mining 2014, 2014
262014
Combining techniques to refine item to skills Q-matrices with a partition tree
MC Desmarais, P Xu, B Beheshti
8th Conference on Educational Data Data Mining (EDM 2015), 2015
132015
Predictive performance of prevailing approaches to skills assessment techniques: Insights from real vs. synthetic data sets
B Beheshti, M Desmarais
Educational Data Mining 2014, 2014
92014
Improving matrix factorization techniques of student test data with partial order constraints
B Beheshti, M Desmarais
User Modeling, Adaptation, and Personalization: 20th International …, 2012
82012
Linear models of student skills for static data.
MC Desmarais, R Naceur, B Beheshti
UMAP Workshops, 2012
62012
Goodness of fit of skills assessment approaches: Insights from patterns of real vs. synthetic data sets
B Beheshti, MC Desmarais
8th Conference on Educational Data Data Mining (EDM 2015), 2015
32015
PhD thesis: Empirical means to validate skills models and assess the fit of a student model
B Beheshti
École Polytechnique de Montréal, 2016
2016
ASSESSING MODEL FIT WITH SYNTHETIC VS. REAL DATA
B Beheshti, MC Desmarais
Technical Report, 2014
2014
Methods to find the number of latent skills
MC Desmarais, B Beheshti, R Naceur
2012
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Articles 1–11