Inference in model-based cluster analysis. - Halima Bensmail; Gilles Celeux; Adrian E. Raftery; Christian P. Robert (Stat. Comput., 1997)

Model-based Clustering with Noise: Bayesian Inference and Estimation. - Halima Bensmail; Jacqueline J. Meulman (J. Classif., 2003)

A novel approach for clustering proteomics data using Bayesian fast Fourier transform. - Halima Bensmail; Jennifer Golek; Michelle M. Moody; O. John Semmes; Abdelali Haoudi (Bioinform., 2005)

Clustering Gene Expression Data with Kernel Principal Components. - Zhenqiu Liu; Dechang Chen; Halima Bensmail; Ying Xu (J. Bioinform. Comput. Biol., 2005)

RAFNI: Robust Analysis of Functional NeuroImages with Non-normal α-Stable Error. - Halima Bensmail; Samreen Anjum; Othmane Bouhali; Mohammed El Anbari (ICONIP (1), 2012)

Multiple graph regularized protein domain ranking. - Jingyan Wang; Halima Bensmail; Xin Gao 001 (BMC Bioinform., 2012)

Cross-domain sparse coding. - Jim Jing-Yan Wang; Halima Bensmail (CIKM, 2013)

Primal-Dual Framework for Feature Selection using Least Squares Support Vector Machines. - Raghvendra Mall; Johan A. K. Suykens; Mohammed El Anbari; Halima Bensmail (COMAD, 2013)

MetFlexo: An Automated Simulation of Realistic H1-NMR Spectra. - Zeinab Atieh; Karsten Suhre; Halima Bensmail (ICCS, 2013)

Discriminative sparse coding on multi-manifolds. - Jim Jing-Yan Wang; Halima Bensmail; Nan Yao; Xin Gao 001 (Knowl. Based Syst., 2013)

Multiple graph regularized nonnegative matrix factorization. - Jim Jing-Yan Wang; Halima Bensmail; Xin Gao 001 (Pattern Recognit., 2013)

Joint learning and weighting of visual vocabulary for bag-of-feature based tissue classification. - Jim Jing-Yan Wang; Halima Bensmail; Xin Gao 001 (Pattern Recognit., 2013)

Computational Neuro-Modeling of Visual Memory: Multimodal Imaging and Analysis. - Mohammed El Anbari; Nawel Nemmour; Othmane Bouhali; Reda Rawi; Ali Sheharyar; Halima Bensmail (Brain Informatics and Health, 2014)

COFADMM: A Computational Features Selection with Alternating Direction Method of Multipliers. - Mohammed El Anbari; Sidra Alam; Halima Bensmail (ICCS, 2014)

Domain transfer nonnegative matrix factorization. - Jim Jing-Yan Wang; Yijun Sun; Halima Bensmail (IJCNN, 2014)

Feature selection and multi-kernel learning for sparse representation on a manifold. - Jim Jing-Yan Wang; Halima Bensmail; Xin Gao 001 (Neural Networks, 2014)

Unified framework for representing and ranking. - Jim Jing-Yan Wang; Halima Bensmail (Pattern Recognit., 2014)

Residue-residue contact prediction in the HIV-1 envelope glycoprotein complex. - Reda Rawi; Khalid Kunji; Abdelali Haoudi; Halima Bensmail (BIBM, 2015)

Supervised Cross-Modal Factor Analysis for Multiple Modal Data Classification. - Jingbin Wang; Yihua Zhou; Kanghong Duan; Jim Jing-Yan Wang; Halima Bensmail (SMC, 2015)

A design study to identify inconsistencies in kinship information: The case of the 1000 Genomes project. - Michaël Aupetit 001; Ehsan Ullah; Reda Rawi; Halima Bensmail (PacificVis, 2016)

Statistical and Network Analysis of Metabolomics Data. - Ehsan Ullah; Raghvendra Mall; Reda Rawi; Halima Bensmail (BCB, 2016)

Metabolomic Data Profiling for Diabetes Research in Qatar. - Raghvendra Mall; Laure Berti-Équille; Halima Bensmail (DEXA Workshops, 2016)

Denoised Kernel Spectral data Clustering. - Raghvendra Mall; Halima Bensmail; Rocco Langone; Carolina Varon; Johan A. K. Suykens (IJCNN, 2016)

COUSCOus: improved protein contact prediction using an empirical Bayes covariance estimator. - Reda Rawi; Raghvendra Mall; Khalid Kunji; Mohammed El Anbari; Michaël Aupetit 001; Ehsan Ullah; Halima Bensmail (BMC Bioinform., 2016)

Differential Community Detection in Paired Biological Networks. - Raghvendra Mall; Ehsan Ullah; Khalid Kunji; Fulvio D'Angelo; Halima Bensmail; Michele Ceccarelli (BCB, 2017)

An adaptive refinement for community detection methods for disease module identification in biological networks using novel metric based on connectivity, conductance & modularity. - Raghvendra Mall; Ehsan Ullah; Khalid Kunji; Halima Bensmail; Michele Ceccarelli (BIBM, 2017)

Identification of cancer drug sensitivity biomarkers. - Ehsan Ullah; Raghvendra Mall; Halima Bensmail; Reda Rawi; Saila Shama; Nooral Al Muftah; Ian Richard Thmpson (BIBM, 2017)

Advanced Computation of Sparse Precision Matrices for Big Data. - Abdelkader Baggag; Halima Bensmail; Jaideep Srivastava (PAKDD (2), 2017)

Detection of statistically significant network changes in complex biological networks. - Raghvendra Mall; Luigi Cerulo; Halima Bensmail; Antonio Iavarone; Michele Ceccarelli (BMC Syst. Biol., 2017)

Microbiomarkers Discovery in Inflammatory Bowel Diseases using Network-Based Feature Selection. - Mostafa M. Abbas; Thanh Le; Halima Bensmail; Vasant G. Honavar; Yasser El-Manzalawy (BCB, 2018)

ISaaC: Identifying Structural Relations in Biological Data with Copula-Based Kernel Dependency Measures. - Hossam Al Meer; Raghvendra Mall; Ehsan Ullah; Nasreddine Megrez; Halima Bensmail (IWBBIO (1), 2018)

DeepSol: a deep learning framework for sequence-based protein solubility prediction. - Sameer Khurana; Reda Rawi; Khalid Kunji; Gwo-Yu Chuang; Halima Bensmail; Raghvendra Mall (Bioinform., 2018)

An unsupervised disease module identification technique in biological networks using novel quality metric based on connectivity, conductance and modularity. - Raghvendra Mall; Ehsan Ullah; Khalid Kunji; Michele Ceccarelli; Halima Bensmail (F1000Research, 2018)

Toward Perception-Based Evaluation of Clustering Techniques for Visual Analytics. - Michaël Aupetit 001; Michael Sedlmair; Mostafa M. Abbas; Abdelkader Baggag; Halima Bensmail (IEEE VIS (Short Papers), 2019)

DeepCrystal: a deep learning framework for sequence-based protein crystallization prediction. - Abdurrahman Elbasir; Balasubramanian Moovarkumudalvan; Khalid Kunji; Prasanna R. Kolatkar; Raghvendra Mall; Halima Bensmail (Bioinform., 2019)

Prediction of protein group function by iterative classification on functional relevance network. - Ishita K. Khan; Aashish Jain; Reda Rawi; Halima Bensmail; Daisuke Kihara (Bioinform., 2019)

KinVis: a visualization tool to detect cryptic relatedness in genetic datasets. - Ehsan Ullah; Michaël Aupetit 001; Arun Das 004; Abhishek Patil; Nooral Al Muftah; Reda Rawi; Mohamad Saad 001; Halima Bensmail (Bioinform., 2019)

ClustMe: A Visual Quality Measure for Ranking Monochrome Scatterplots based on Cluster Patterns. - Mostafa M. Abbas; Michaël Aupetit 001; Michael Sedlmair; Halima Bensmail (Comput. Graph. Forum, 2019)

Novel Multi Center and Threshold Ternary Pattern Based Method for Disease Detection Method Using Voice. - Türker Tuncer; Sengül Dogan; Fatih Özyurt; Samir Brahim Belhaouari; Halima Bensmail (IEEE Access, 2020)

Comprehensive review and assessment of computational methods for predicting RNA post-transcriptional modification sites from RNA sequences. - Zhen Chen 009; Pei Zhao; Fuyi Li; Yanan Wang 003; Alexander Ian Smith; Geoffrey I. Webb; Tatsuya Akutsu; Abdelkader Baggag; Halima Bensmail; Jiangning Song (Briefings Bioinform., 2020)

BCrystal: an interpretable sequence-based protein crystallization predictor. - Abdurrahman Elbasir; Raghvendra Mall; Khalid Kunji; Reda Rawi; Zeyaul Islam; Gwo-Yu Chuang; Prasanna R. Kolatkar; Halima Bensmail (Bioinform., 2020)

PROSPECT: A web server for predicting protein histidine phosphorylation sites. - Zhen Chen 009; Pei Zhao; Fuyi Li; André Leier; Tatiana T. Marquez-Lago; Geoffrey I. Webb; Abdelkader Baggag; Halima Bensmail; Jiangning Song (J. Bioinform. Comput. Biol., 2020)

OutPyR: Bayesian inference for RNA-Seq outlier detection. - Edin Salkovic; Mostafa M. Abbas; Samir Brahim Belhaouari; Khaoula Errafii; Halima Bensmail (J. Comput. Sci., 2020)

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

Computational prediction and interpretation of both general and specific types of promoters in Escherichia coli by exploiting a stacked ensemble-learning framework. - Fuyi Li; Jinxiang Chen; Zongyuan Ge; Ya Wen; Yanwei Yue; Morihiro Hayashida; Abdelkader Baggag; Halima Bensmail; Jiangning Song (Briefings Bioinform., 2021)

ClustRank: a Visual Quality Measure Trained on Perceptual Data for Sorting Scatterplots by Cluster Patterns. - Mostafa M. Abbas; Ehsan Ullah; Abdelkader Baggag; Halima Bensmail; Michael Sedlmair; Michaël Aupetit 001 (CoRR, 2021)

Data-driven enhancement of cubic phase stability in mixed-cation perovskites. - Heesoo Park; Adnan Ali; Raghvendra Mall; Halima Bensmail; Stefano Sanvito; Fedwa El-Mellouhi (Mach. Learn. Sci. Technol., 2021)

KNNOR: An oversampling technique for imbalanced datasets. - Ashhadul Islam; Samir Brahim Belhaouari; Atiq ur Rehman 002; Halima Bensmail (Appl. Soft Comput., 2022)

K Nearest Neighbor OveRsampling approach: An open source python package for data augmentation. - Ashhadul Islam; Samir Brahim Belhaouari; Atiq ur Rehman 002; Halima Bensmail (Softw. Impacts, 2022)

Progressive Fourier Transform (PFT): Enhancing Time-Frequency Representation of EEG signals for Stress and Seizure Detection. - Nisreen Said Amer; Samir Brahim Belhaouari; Halima Bensmail (BIBM, 2023)

A Novel Feature Extraction Technique for ECG Arrhythmia Classification Using ML. - Mohammad Mominur Rahman; Ashhadul Islam; Skander Charni; Halima Bensmail; Thomas Hilbel; Samir Brahim Belhaouari (DASC/PiCom/CBDCom/CyberSciTech, 2023)

OutSingle: a novel method of detecting and injecting outliers in RNA-Seq count data using the optimal hard threshold for singular values. - Edin Salkovic; Mohammad Amin Sadeghi; Abdelkader Baggag; Ahmed Gamal Rashed Salem; Halima Bensmail (Bioinform., 2023)

Datasets and code for ClustMe and ClustML visual quality measures of grouping patterns in monochrome scatterplots. - Mostafa M. Abbas; Ehsan Ullah; Abdelkader Baggag; Halima Bensmail; Michael Sedlmair; Michaël Aupetit 001 (Zenodo, 2023)

ClustML: A measure of cluster pattern complexity in scatterplots learnt from human-labeled groupings. - Mostafa M. Hamza; Ehsan Ullah; Abdelkader Baggag; Halima Bensmail; Michael Sedlmair; Michaël Aupetit 001 (Inf. Vis., 2024)

Tisslet tissues-based learning estimation for transcriptomics. - Ahmed Miloudi; Aisha Al-Qahtani; Thamanna Hashir; Mohamed Chikri; Halima Bensmail (BMC Bioinform., 2025)