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ORCIDLeila Yousefi
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2020 – today
- 2022
[j3]Leila Yousefi, Allan Tucker:
Identifying latent variables in Dynamic Bayesian Networks with bootstrapping applied to Type 2 Diabetes complication prediction. Intell. Data Anal. 26(2): 501-524 (2022)- [i2]Martin J. Shepperd, Leila Yousefi:
An analysis of retracted papers in Computer Science. CoRR abs/2206.06706 (2022) - 2021
- [j2]Leila Yousefi
, Stephen Swift, Mahir Arzoky, Lucia Saachi, Luca Chiovato, Allan Tucker:
Opening the black box: Personalizing type 2 diabetes patients based on their latent phenotype and temporal associated complication rules. Comput. Intell. 37(4): 1460-1498 (2021) - 2020
- [j1]Mohamadreza Fathizade, Leila Yousefi, Vahid Rezaei:
Analytical Calculation of Radiation Characteristics of Metasurface-Based Solar Antennas "SOLANTs" With Uniform and Non-Uniform Cells. IEEE J. Emerg. Sel. Topics Circuits Syst. 10(1): 136-143 (2020)
2010 – 2019
- 2019
- [c8]Mashael Al-Luhaybi, Leila Yousefi, Stephen Swift, Steve Counsell, Allan Tucker:
Predicting Academic Performance: A Bootstrapping Approach for Learning Dynamic Bayesian Networks. AIED (1) 2019: 26-36 - [c7]Leila Yousefi, Stephen Swift, Mahir Arzoky, Lucia Sacchi, Luca Chiovato, Allan Tucker:
Opening the Black Box: Exploring Temporal Pattern of Type 2 Diabetes Complications in Patient Clustering Using Association Rules and Hidden Variable Discovery. CBMS 2019: 198-203 - [c6]Martin J. Shepperd, Yuchen Guo, Ning Li, Mahir Arzoky, Andrea Capiluppi, Steve Counsell, Giuseppe Destefanis, Stephen Swift, Allan Tucker, Leila Yousefi:
The Prevalence of Errors in Machine Learning Experiments. IDEAL (1) 2019: 102-109 - [i1]Martin J. Shepperd, Yuchen Guo, Ning Li, Mahir Arzoky, Andrea Capiluppi, Steve Counsell, Giuseppe Destefanis, Stephen Swift, Allan Tucker, Leila Yousefi:
The Prevalence of Errors in Machine Learning Experiments. CoRR abs/1909.04436 (2019) - 2018
- [c5]Leila Yousefi, Stephen Swift, Mahir Arzoky, Lucia Sacchi, Luca Chiovato, Allan Tucker:
Opening the Black Box: Discovering and Explaining Hidden Variables in Type 2 Diabetic Patient Modelling. BIBM 2018: 1040-1044 - [c4]Leila Yousefi, Allan Tucker, Mashael Al-Luhaybi, Lucia Sacchi, Riccardo Bellazzi, Luca Chiovato:
Predicting Disease Complications Using a Stepwise Hidden Variable Approach for Learning Dynamic Bayesian Networks. CBMS 2018: 106-111 - [c3]Mostafa Honari-Latifpour, Leila Yousefi:
A Photonic Topological Insulator Based on a Coupled Plasmonic Nanoparticle Array. IST 2018: 353-356 - 2017
- [c2]Leila Yousefi, Lucia Sacchi, Riccardo Bellazzi, Luca Chiovato, Allan Tucker:
Predicting Comorbidities Using Resampling and Dynamic Bayesian Networks with Latent Variables. CBMS 2017: 205-206 - 2012
- [c1]Leila Yousefi:
A fair spectrum sharing approach in Cognitive Radio Networks. CCSEIT 2012: 753-759
Coauthor Index
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