Halima Bensmail

Orcid: 0000-0001-6700-5752

According to our database1, Halima Bensmail authored at least 54 papers between 1997 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
ClustML: A measure of cluster pattern complexity in scatterplots learnt from human-labeled groupings.
Inf. Vis., 2024

2023
Datasets and code for ClustMe and ClustML visual quality measures of grouping patterns in monochrome scatterplots.
Dataset, November, 2023

OutSingle: a novel method of detecting and injecting outliers in RNA-Seq count data using the optimal hard threshold for singular values.
Bioinform., April, 2023

A Novel Feature Extraction Technique for ECG Arrhythmia Classification Using ML.
Proceedings of the IEEE Intl Conf on Dependable, 2023

Progressive Fourier Transform (PFT): Enhancing Time-Frequency Representation of EEG signals for Stress and Seizure Detection.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
K Nearest Neighbor OveRsampling approach: An open source python package for data augmentation.
Softw. Impacts, 2022

KNNOR: An oversampling technique for imbalanced datasets.
Appl. Soft Comput., 2022

2021
Data-driven enhancement of cubic phase stability in mixed-cation perovskites.
Mach. Learn. Sci. Technol., 2021

ClustRank: a Visual Quality Measure Trained on Perceptual Data for Sorting Scatterplots by Cluster Patterns.
CoRR, 2021

Computational prediction and interpretation of both general and specific types of promoters in Escherichia coli by exploiting a stacked ensemble-learning framework.
Briefings Bioinform., 2021

A Novel Bayesian Outlier Score Based on the Negative Binomial Distribution for Detecting Aberrantly Expressed Genes in RNA-Seq Gene Expression Count Data.
IEEE Access, 2021

2020
OutPyR: Bayesian inference for RNA-Seq outlier detection.
J. Comput. Sci., 2020

PROSPECT: A web server for predicting protein histidine phosphorylation sites.
J. Bioinform. Comput. Biol., 2020

BCrystal: an interpretable sequence-based protein crystallization predictor.
Bioinform., 2020

Comprehensive review and assessment of computational methods for predicting RNA post-transcriptional modification sites from RNA sequences.
Briefings Bioinform., 2020

Novel Multi Center and Threshold Ternary Pattern Based Method for Disease Detection Method Using Voice.
IEEE Access, 2020

2019
ClustMe: A Visual Quality Measure for Ranking Monochrome Scatterplots based on Cluster Patterns.
Comput. Graph. Forum, 2019

KinVis: a visualization tool to detect cryptic relatedness in genetic datasets.
Bioinform., 2019

Prediction of protein group function by iterative classification on functional relevance network.
Bioinform., 2019

DeepCrystal: a deep learning framework for sequence-based protein crystallization prediction.
Bioinform., 2019

Toward Perception-Based Evaluation of Clustering Techniques for Visual Analytics.
Proceedings of the 30th IEEE Visualization Conference, 2019

2018
An unsupervised disease module identification technique in biological networks using novel quality metric based on connectivity, conductance and modularity.
F1000Research, 2018

DeepSol: a deep learning framework for sequence-based protein solubility prediction.
Bioinform., 2018

ISaaC: Identifying Structural Relations in Biological Data with Copula-Based Kernel Dependency Measures.
Proceedings of the Bioinformatics and Biomedical Engineering, 2018

Microbiomarkers Discovery in Inflammatory Bowel Diseases using Network-Based Feature Selection.
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

2017
Detection of statistically significant network changes in complex biological networks.
BMC Syst. Biol., 2017

Advanced Computation of Sparse Precision Matrices for Big Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Identification of cancer drug sensitivity biomarkers.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

An adaptive refinement for community detection methods for disease module identification in biological networks using novel metric based on connectivity, conductance & modularity.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Differential Community Detection in Paired Biological Networks.
Proceedings of the 8th ACM International Conference on Bioinformatics, 2017

2016
COUSCOus: improved protein contact prediction using an empirical Bayes covariance estimator.
BMC Bioinform., 2016

Denoised Kernel Spectral data Clustering.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Metabolomic Data Profiling for Diabetes Research in Qatar.
Proceedings of the 27th International Workshop on Database and Expert Systems Applications, 2016

Statistical and Network Analysis of Metabolomics Data.
Proceedings of the 7th ACM International Conference on Bioinformatics, 2016

A design study to identify inconsistencies in kinship information: The case of the 1000 Genomes project.
Proceedings of the 2016 IEEE Pacific Visualization Symposium, 2016

2015
Supervised Cross-Modal Factor Analysis for Multiple Modal Data Classification.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

Residue-residue contact prediction in the HIV-1 envelope glycoprotein complex.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014
Unified framework for representing and ranking.
Pattern Recognit., 2014

Feature selection and multi-kernel learning for sparse representation on a manifold.
Neural Networks, 2014

Domain transfer nonnegative matrix factorization.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

COFADMM: A Computational Features Selection with Alternating Direction Method of Multipliers.
Proceedings of the International Conference on Computational Science, 2014

Computational Neuro-Modeling of Visual Memory: Multimodal Imaging and Analysis.
Proceedings of the Brain Informatics and Health - International Conference, 2014

2013
Joint learning and weighting of visual vocabulary for bag-of-feature based tissue classification.
Pattern Recognit., 2013

Multiple graph regularized nonnegative matrix factorization.
Pattern Recognit., 2013

Discriminative sparse coding on multi-manifolds.
Knowl. Based Syst., 2013

MetFlexo: An Automated Simulation of Realistic H<sup>1</sup>-NMR Spectra.
Proceedings of the International Conference on Computational Science, 2013

Primal-Dual Framework for Feature Selection using Least Squares Support Vector Machines.
Proceedings of the 19th International Conference on Management of Data, 2013

Cross-domain sparse coding.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
Multiple graph regularized protein domain ranking.
BMC Bioinform., 2012

RAFNI: Robust Analysis of Functional NeuroImages with Non-normal α-Stable Error.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

2005
Clustering Gene Expression Data with Kernel Principal Components.
J. Bioinform. Comput. Biol., 2005

A novel approach for clustering proteomics data using Bayesian fast Fourier transform.
Bioinform., 2005

2003
Model-based Clustering with Noise: Bayesian Inference and Estimation.
J. Classif., 2003

1997
Inference in model-based cluster analysis.
Stat. Comput., 1997


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