Malik Yousef

Orcid: 0000-0001-8780-6303

According to our database1, Malik Yousef authored at least 44 papers between 2000 and 2024.

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

Timeline

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Bibliography

2024
ReScore Disease Groups Based on Multiple Machine Learnings Utilizing the Grouping-Scoring-Modeling Approach.
Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024

2023
PriPath: identifying dysregulated pathways from differential gene expression via grouping, scoring, and modeling with an embedded feature selection approach.
BMC Bioinform., December, 2023

Prediction of Antimicrobial Peptides Using Deep Neural Networks.
Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023

GediNETPro: Discovering Patterns of Disease Groups.
Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023

miRcorrNetPro: Unraveling Algorithmic Insights through Cross-Validation in Multi-Omics Integration for Comprehensive Data Analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Detecting Semantic Similarity of Diseases based Machine Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2021
CogNet: classification of gene expression data based on ranked active-subnetwork-oriented KEGG pathway enrichment analysis.
PeerJ Comput. Sci., 2021

Clinical presentation of COVID-19 - a model derived by a machine learning algorithm.
J. Integr. Bioinform., 2021

Super-rapid race for saving lives by developing COVID-19 vaccines.
J. Integr. Bioinform., 2021

Application of Biological Domain Knowledge Based Feature Selection on Gene Expression Data.
Entropy, 2021

COVIDium: a COVID-19 resource compendium.
Database J. Biol. Databases Curation, 2021

Classification of Precursor MicroRNAs from Different Species Based on K-mer Distance Features.
Algorithms, 2021

MultiKOC: Multi-One-Class Classifier Based K-Means Clustering.
Algorithms, 2021

Integrating Gene Ontology Based Grouping and Ranking into the Machine Learning Algorithm for Gene Expression Data Analysis.
Proceedings of the Database and Expert Systems Applications - DEXA 2021 Workshops, 2021

SVM-RCE-R-OPT: Optimization of Scoring Function for SVM-RCE-R.
Proceedings of the Database and Expert Systems Applications - DEXA 2021 Workshops, 2021

2020
Exploring the impact of short-text complexity and structure on its quality in social media.
J. Enterp. Inf. Manag., 2020

Recursive Cluster Elimination based Rank Function (SVM-RCE-R) implemented in KNIME.
F1000Research, 2020

GrpClassifierEC: a novel classification approach based on the ensemble clustering space.
Algorithms Mol. Biol., 2020

TopicsRanksDC: Distance-Based Topic Ranking Applied on Two-Class Data.
Proceedings of the Database and Expert Systems Applications, 2020

A Machine Learning-based Approach for the Categorization of MicroRNAs to Their Species of Origin.
Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020

2019
maTE: discovering expressed interactions between microRNAs and their targets.
Bioinform., 2019

Classification of Pre-cursor microRNAs from Different Species Using a New Set of Features.
Proceedings of the Database and Expert Systems Applications, 2019

K - Means Based One-Class SVM Classifier.
Proceedings of the Database and Expert Systems Applications, 2019

In Silico Validation of ncRNA-ncRNA Interaction Sites with ncRNAs Represented by k-mers Features.
Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019), 2019

2018
Ensemble Clustering Based Dimensional Reduction.
Proceedings of the Database and Expert Systems Applications, 2018

Species Categorization via MicroRNAs - Based on 3'UTR Target Sites using Sequence Features.
Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018), 2018

2017
Categorization of species based on their microRNAs employing sequence motifs, information-theoretic sequence feature extraction, and <i>k</i>-mers.
EURASIP J. Adv. Signal Process., 2017

MicroRNA categorization using sequence motifs and k-mers.
BMC Bioinform., 2017

Sequence-based information-theoretic features for gene essentiality prediction.
BMC Bioinform., 2017

Distinguishing between MicroRNA Targets from Diverse Species using Sequence Motifs and K-mers.
Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017), 2017

2016
Ensemble Clustering Classification compete SVM and One-Class classifiers applied on plant microRNAs Data.
J. Integr. Bioinform., 2016

Editorial: Computational miRNomics.
J. Integr. Bioinform., 2016

Feature Selection Has a Large Impact on One-Class Classification Accuracy for MicroRNAs in Plants.
Adv. Bioinformatics, 2016

Feature Selection for MicroRNA Target Prediction - Comparison of One-Class Feature Selection Methodologies.
Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016), 2016

2009
Classification and biomarker identification using gene network modules and support vector machines.
BMC Bioinform., 2009

2008
Learning from positive examples when the negative class is undetermined- microRNA gene identification.
Algorithms Mol. Biol., 2008

2007
One-class document classification via Neural Networks.
Neurocomputing, 2007

Recursive Cluster Elimination (RCE) for classification and feature selection from gene expression data.
BMC Bioinform., 2007

Naïve Bayes for microRNA target predictions - machine learning for microRNA targets.
Bioinform., 2007

VISDA: an open-source caBIG<sup>TM</sup> analytical tool for data clustering and beyond.
Bioinform., 2007

2006
Combining multi-species genomic data for microRNA identification using a Naïve Bayes classifier.
Bioinform., 2006

2004
A web navigation system based on a neural network user-model trained with only positive web documents.
Web Intell. Agent Syst., 2004

2001
One-Class SVMs for Document Classification.
J. Mach. Learn. Res., 2001

2000
Document classification on neural networks using only positive examples.
Proceedings of the SIGIR 2000: Proceedings of the 23rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2000


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