Sabeur Aridhi

Sabeur Aridhi

Université de Lorraine

H-index: 17

Europe-France

About Sabeur Aridhi

Sabeur Aridhi, With an exceptional h-index of 17 and a recent h-index of 15 (since 2020), a distinguished researcher at Université de Lorraine, specializes in the field of Big Data, Graph Mining, Biological Data Mining, Machine learning, Bioinformatics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Découverte de connaissances à partir de grands graphes biologiques

Accuracy and diversity-aware multi-objective approach for random forest construction

Molecular-evaluated and explainable drug repurposing for COVID-19 using ensemble knowledge graph embedding

Simple negative sampling for link prediction in knowledge graphs

Improving automatic GO annotation with semantic similarity

A distributed and incremental algorithm for large-scale graph clustering

Negative sampling and rule mining for explainable link prediction in knowledge graphs

A semi-supervised graph deep neural network for automatic protein function annotation

Sabeur Aridhi Information

University

Position

___

Citations(all)

1639

Citations(since 2020)

1411

Cited By

700

hIndex(all)

17

hIndex(since 2020)

15

i10Index(all)

23

i10Index(since 2020)

20

Email

University Profile Page

Université de Lorraine

Google Scholar

View Google Scholar Profile

Sabeur Aridhi Skills & Research Interests

Big Data

Graph Mining

Biological Data Mining

Machine learning

Bioinformatics

Top articles of Sabeur Aridhi

Title

Journal

Author(s)

Publication Date

Découverte de connaissances à partir de grands graphes biologiques

Sabeur Aridhi

2023/12/18

Accuracy and diversity-aware multi-objective approach for random forest construction

Expert Systems with Applications

Nour El Islem Karabadji

Abdelaziz Amara Korba

Ali Assi

Hassina Seridi

Sabeur Aridhi

...

2023/9/1

Molecular-evaluated and explainable drug repurposing for COVID-19 using ensemble knowledge graph embedding

Scientific Reports

Md Kamrul Islam

Diego Amaya-Ramirez

Bernard Maigret

Marie-Dominique Devignes

Sabeur Aridhi

...

2023/3/4

Simple negative sampling for link prediction in knowledge graphs

Md Kamrul Islam

Sabeur Aridhi

Malika Smaïl-Tabbone

2022

Improving automatic GO annotation with semantic similarity

BMC bioinformatics

Bishnu Sarker

Navya Khare

Marie-Dominique Devignes

Sabeur Aridhi

2022/12/12

A distributed and incremental algorithm for large-scale graph clustering

Future Generation Computer Systems

Wissem Inoubli

Sabeur Aridhi

Haithem Mezni

Mondher Maddouri

Engelbert Mephu Nguifo

2022/9/1

Negative sampling and rule mining for explainable link prediction in knowledge graphs

Knowledge-Based Systems

Md Kamrul Islam

Sabeur Aridhi

Malika Smail-Tabbone

2022/8/17

A semi-supervised graph deep neural network for automatic protein function annotation

Akrem Sellami

Bishnu Sarker

Salvatore Tabbone

Marie-Dominique Devignes

Sabeur Aridhi

2022/6/8

On the design of a similarity function for sparse binary data with application on protein function annotation

Knowledge-Based Systems

Marcelo BA Veras

Bishnu Sarker

Sabeur Aridhi

João PP Gomes

José AF Macêdo

...

2022/2/28

From Competition to Collaboration: Ensembling Similarity-Based Heuristics for Supervised Link Prediction in Biological Graphs

Md Kamrul Islam

Sabeur Aridhi

Malika Smail-Tabbone

2021/12/30

Towards big services: a synergy between service computing and parallel programming

Computing

Haithem Mezni

Mokhtar Sellami

Sabeur Aridhi

Faouzi Ben Charrada

2021/11

An experimental evaluation of similarity-based and embedding-based link prediction methods on graphs

International Journal of Data Mining & Knowledge Management Process

Md Kamrul Islam

Sabeur Aridhi

Malika Smail-Tabbone

2021/9/30

Appraisal Study of Similarity-Based and Embedding-Based Link Prediction Methods on Graphs

Proceedings of the 10th International Conference on Data Mining & Knowledge Management Process

Md Kamrul Islam

Sabeur Aridhi

Malika Smail-Tabbone

2021/7/24

Prot-A-GAN: Automatic Protein Function Annotation using GAN-inspired Knowledge Graph Embedding

Bishnu Sarker

Marie-Dominique Devignes

Guy Wolf

Sabeur Aridhi

2021/7/24

A Novel Scalable Clustering Method for Distributed Networks

Wissm Inoubli

Sabeur Aridhi

Haithem Mezni

Mondher Maddouri

Engelbert Mephu Nguifo

2020/6/10

Multiple instance learning for sequence data with across bag dependencies

International journal of machine learning and cybernetics

Manel Zoghlami

Sabeur Aridhi

Mondher Maddouri

Engelbert Mephu Nguifo

2020/3

Un algorithme distribué pour le clustering de grands graphes

Wissem Inoubli

Sabeur Aridhi

Haithem Mezni

Mondher Maddouri

Engelbert Mephu Nguifo

2020/1/27

A smooth introduction to AI for clinicians

Sabeur Aridhi

Marie-Dominique Devignes

Malika Smaïl-Tabbone

2020

Graph based automatic protein function annotation improved by semantic similarity

Bishnu Sarker

Navya Khare

Marie-Dominique Devignes

Sabeur Aridhi

2020

Application of artificial intelligence to gastroenterology and hepatology

Catherine Le Berre

William J Sandborn

Sabeur Aridhi

Marie-Dominique Devignes

Laure Fournier

...

2020/1/1

See List of Professors in Sabeur Aridhi University(Université de Lorraine)

Co-Authors

H-index: 198
William Sandborn

William Sandborn

University of California, San Diego

H-index: 43
Alberto Montresor

Alberto Montresor

Università degli Studi di Trento

H-index: 29
Yannis Velegrakis

Yannis Velegrakis

Universiteit Utrecht

H-index: 29
Marie-Dominique Devignes

Marie-Dominique Devignes

Université de Lorraine

H-index: 20
Malika Smaïl-Tabbone

Malika Smaïl-Tabbone

Université de Lorraine

H-index: 13
Laurent d'Orazio

Laurent d'Orazio

Université de Rennes 1

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