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Disambiguation of "Yousefi, Leila"

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Predicting Academic Performance: A Bootstrapping Approach for Learning Dynamic Bayesian Networks.

, , , , and . AIED (1), volume 11625 of Lecture Notes in Computer Science, page 26-36. Springer, (2019)

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To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Müveyla Yousefi

Amirhossein Yousefi

Saied Yousefi

Leila Siller

Leila Frohn

 

Other publications of authors with the same name

Analytical Calculation of Radiation Characteristics of Metasurface-Based Solar Antennas "SOLANTs" With Uniform and Non-Uniform Cells., , and . IEEE J. Emerg. Sel. Topics Circuits Syst., 10 (1): 136-143 (2020)The Prevalence of Errors in Machine Learning Experiments., , , , , , , , , and . IDEAL (1), volume 11871 of Lecture Notes in Computer Science, page 102-109. Springer, (2019)Predicting Academic Performance: A Bootstrapping Approach for Learning Dynamic Bayesian Networks., , , , and . AIED (1), volume 11625 of Lecture Notes in Computer Science, page 26-36. Springer, (2019)Opening the black box: Personalizing type 2 diabetes patients based on their latent phenotype and temporal associated complication rules., , , , , and . Comput. Intell., 37 (4): 1460-1498 (2021)A Photonic Topological Insulator Based on a Coupled Plasmonic Nanoparticle Array., and . IST, page 353-356. IEEE, (2018)An analysis of retracted papers in Computer Science., and . CoRR, (2022)Opening the Black Box: Discovering and Explaining Hidden Variables in Type 2 Diabetic Patient Modelling., , , , , and . BIBM, page 1040-1044. IEEE Computer Society, (2018)Predicting Comorbidities Using Resampling and Dynamic Bayesian Networks with Latent Variables., , , , and . CBMS, page 205-206. IEEE Computer Society, (2017)Opening the Black Box: Exploring Temporal Pattern of Type 2 Diabetes Complications in Patient Clustering Using Association Rules and Hidden Variable Discovery., , , , , and . CBMS, page 198-203. IEEE, (2019)Identifying latent variables in Dynamic Bayesian Networks with bootstrapping applied to Type 2 Diabetes complication prediction., and . Intell. Data Anal., 26 (2): 501-524 (2022)