User profiles for Halima Bensmail
 | Halima BensmailPrincipal Scientist, QCRI and Joint professor, Texas A and M at Qatar Verified email at hbku.edu.qa Cited by 2778 |
Inference in model-based cluster analysis
A new approach to cluster analysis has been introduced based on parsimonious geometric
modelling of the within-group covariance matrices in a mixture of multivariate normal …
modelling of the within-group covariance matrices in a mixture of multivariate normal …
Regularized Gaussian discriminant analysis through eigenvalue decomposition
H Bensmail, G Celeux - Journal of the American statistical …, 1996 - Taylor & Francis
Friedman proposed a regularization technique (RDA) of discriminant analysis in the Gaussian
framework. RDA uses two regularization parameters to design an intermediate classifier …
framework. RDA uses two regularization parameters to design an intermediate classifier …
DeepSol: a deep learning framework for sequence-based protein solubility prediction
Motivation Protein solubility plays a vital role in pharmaceutical research and production yield.
For a given protein, the extent of its solubility can represent the quality of its function, and …
For a given protein, the extent of its solubility can represent the quality of its function, and …
Multiple graph regularized nonnegative matrix factorization
Non-negative matrix factorization (NMF) has been widely used as a data representation
method based on components. To overcome the disadvantage of NMF in failing to consider the …
method based on components. To overcome the disadvantage of NMF in failing to consider the …
[HTML][HTML] KNNOR: An oversampling technique for imbalanced datasets
Predictive performance of Machine Learning (ML) models rely on the quality of data used
for training the models. However, if the training data is not balanced among different classes, …
for training the models. However, if the training data is not balanced among different classes, …
Comprehensive review and assessment of computational methods for predicting RNA post-transcriptional modification sites from RNA sequences
RNA post-transcriptional modifications play a crucial role in a myriad of biological processes
and cellular functions. To date, more than 160 RNA modifications have been discovered; …
and cellular functions. To date, more than 160 RNA modifications have been discovered; …
Detection and classification of defect patterns on semiconductor wafers
CH Wang, W Kuo, H Bensmail - IIE transactions, 2006 - Taylor & Francis
The detection of process problems and parameter drift at an early stage is crucial to successful
semiconductor manufacture. The defect patterns on the wafer can act as an important …
semiconductor manufacture. The defect patterns on the wafer can act as an important …
Novel multi center and threshold ternary pattern based method for disease detection method using voice
Smart health is one of the most popular and important components of smart cities. It is a
relatively new context-aware healthcare paradigm influenced by several fields of expertise, such …
relatively new context-aware healthcare paradigm influenced by several fields of expertise, such …
Computational prediction and interpretation of both general and specific types of promoters in Escherichia coli by exploiting a stacked ensemble-learning framework
…, M Hayashida, A Baggag, H Bensmail… - Briefings in …, 2021 - academic.oup.com
Promoters are short consensus sequences of DNA, which are responsible for transcription
activation or the repression of all genes. There are many types of promoters in bacteria with …
activation or the repression of all genes. There are many types of promoters in bacteria with …
Machine learning accelerated recovery of the cubic structure in mixed-cation perovskite thin films
Data-driven approaches for materials design and selection have accelerated materials discovery
along with the upsurge of machine learning applications. We report here a prediction-to…
along with the upsurge of machine learning applications. We report here a prediction-to…