Halima Bensmail 个人学术档案

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	总计	2019 年至今
引用	2878	1621
h 指数	28	22
i10 指数	50	37

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Raghvendra MallDirector-BRC, TII, Abu Dhabi, U.A.E. (Past Affiliations: IIIT-H, INRIA, KU Leuven, QCRI, St. Jude)在 stjude.org 的电子邮件经过验证
Reda RawiPostDoc, Qatar Computing Research Institute在 qf.org.qa 的电子邮件经过验证
Khalid KunjiHamad Bin Khalifa University, Qatar Computing Research Institute在 hbku.edu.qa 的电子邮件经过验证
Ehsan UllahQatar Computing Research Institute在 hbku.edu.qa 的电子邮件经过验证
Abdelkader BaggagSenior scientist, Qatar Computing Research Institute在 hbku.edu.qa 的电子邮件经过验证
Jing-Yan WangResearch Scientist, New York University在 nyu.edu 的电子邮件经过验证
Michele CeccarelliUniversity of Miami在 miami.edu 的电子邮件经过验证
Xin GaoProfessor, Computer Sciences; Director, Computational Bioscience Research Center在 kaust.edu.sa 的电子邮件经过验证
Michael AupetitSenior Scientist at Qatar Computing Research Institute (QCRI), Hamad Bin Khalifa University (HBKU)在 hbku.edu.qa 的电子邮件经过验证
Gilles CeleuxDirecteur de recherche Inria在 inria.fr 的电子邮件经过验证
Luigi CeruloAssociate Professor of Computer Science, University of Sannio在 unisannio.it 的电子邮件经过验证
Mohammed El AnbariBiostatistics Scientist, Sidra Medical and Research Center在 sidra.org 的电子邮件经过验证
Timothy M Young, Ph.D.Professor, University of Tennessee在 utk.edu 的电子邮件经过验证
Adrian E. RafteryProfessor of Statistics and Sociology, University of Washington在 uw.edu 的电子邮件经过验证
Christian RobertUniversité Paris Dauphine, PSL & University of Warwick在 ceremade.dauphine.fr 的电子邮件经过验证
Ramón V. LeónAssociate Professor of Statistics, University of Tennessee在 utk.edu 的电子邮件经过验证
andrea remoAULSS9, Verona (Italy)在 aulsslegnago.it 的电子邮件经过验证
Ali SheharyarTexas A&M University at Qatar在 qatar.tamu.edu 的电子邮件经过验证
Houtan NoushmehrAssociate Professor of {epi}Genomics & Bioinformatics在 hfhs.org 的电子邮件经过验证
Johan SuykensProfessor, KU Leuven在 esat.kuleuven.be 的电子邮件经过验证

关注

Halima Bensmail

Principal Scientist, QCRI and Joint professor, Texas A and M at Qatar

在 hbku.edu.qa 的电子邮件经过验证 - 首页

AI Statistical Machine Learning Bioinformatics


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Inference in model-based cluster analysis H Bensmail, G Celeux, AE Raftery, CP Robert statistics and Computing 7, 1-10, 1997	306	1997
Regularized Gaussian discriminant analysis through eigenvalue decomposition H Bensmail, G Celeux Journal of the American statistical Association 91 (436), 1743-1748, 1996	256	1996
DeepSol: a deep learning framework for sequence-based protein solubility prediction S Khurana, R Rawi, K Kunji, GY Chuang, H Bensmail, R Mall Bioinformatics 34 (15), 2605-2613, 2018	188	2018
Multiple graph regularized nonnegative matrix factorization JJY Wang, H Bensmail, X Gao Pattern Recognition 46 (10), 2840-2847, 2013	127	2013
Detection and classification of defect patterns on semiconductor wafers CH Wang, W Kuo, H Bensmail IIE transactions 38 (12), 1059-1068, 2006	117	2006
Comprehensive review and assessment of computational methods for predicting RNA post-transcriptional modification sites from RNA sequences Z Chen, P Zhao, F Li, Y Wang, AI Smith, GI Webb, T Akutsu, A Baggag, ... Briefings in bioinformatics 21 (5), 1676-1696, 2020	109	2020
Novel multi center and threshold ternary pattern based method for disease detection method using voice T Tuncer, S Dogan, F Özyurt, SB Belhaouari, H Bensmail IEEE Access 8, 84532-84540, 2020	89	2020
Gene expression data classification with kernel principal component analysis Z Liu, D Chen, H Bensmail BioMed Research International 2005 (2), 155-159, 2005	88	2005
KNNOR: An oversampling technique for imbalanced datasets A Islam, SB Belhaouari, AU Rehman, H Bensmail Applied soft computing 115, 108288, 2022	68	2022
Computational prediction and interpretation of both general and specific types of promoters in Escherichia coli by exploiting a stacked ensemble-learning framework F Li, J Chen, Z Ge, Y Wen, Y Yue, M Hayashida, A Baggag, H Bensmail, ... Briefings in bioinformatics 22 (2), 2126-2140, 2021	67	2021
Feature selection and multi-kernel learning for sparse representation on a manifold JJY Wang, H Bensmail, X Gao Neural Networks 51, 9-16, 2014	67	2014
Bioinformatics and data mining in proteomics A Haoudi, H Bensmail Expert Review of Proteomics 3 (3), 333-343, 2006	67	2006
Exploring new approaches towards the formability of mixed-ion perovskites by DFT and machine learning H Park, R Mall, FH Alharbi, S Sanvito, N Tabet, H Bensmail, F El-Mellouhi Physical Chemistry Chemical Physics 21 (3), 1078-1088, 2019	60	2019
A novel approach for clustering proteomics data using Bayesian fast Fourier transform H Bensmail, J Golek, MM Moody, JO Semmes, A Haoudi Bioinformatics 21 (10), 2210-2224, 2005	59	2005
Joint learning and weighting of visual vocabulary for bag-of-feature based tissue classification JJY Wang, H Bensmail, X Gao Pattern Recognition 46 (12), 3249-3255, 2013	56	2013
Postgenomics: proteomics and bioinformatics in cancer research H Bensmail, A Haoudi BioMed Research International 2003 (4), 217-230, 2003	55	2003
A comparison of multiple linear regression and quantile regression for modeling the internal bond of medium density fiber-board TM Young, LB Shaffer, FM Guess, H Bensmail, RV León Forest Products Journal 58 (4), 39, 2008	52	2008
Multiple graph regularized protein domain ranking JJY Wang, H Bensmail, X Gao BMC bioinformatics 13, 1-11, 2012	50	2012
Machine learning accelerated recovery of the cubic structure in mixed-cation perovskite thin films A Ali, H Park, R Mall, B Aïssa, S Sanvito, H Bensmail, A Belaidi, ... Chemistry of Materials 32 (7), 2998-3006, 2020	49	2020
DeepCrystal: a deep learning framework for sequence-based protein crystallization prediction A Elbasir, B Moovarkumudalvan, K Kunji, PR Kolatkar, R Mall, H Bensmail Bioinformatics 35 (13), 2216-2225, 2019	49	2019

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