Sabeur Aridhi

ORCID

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 43

Top Venues

CoRR

Future Gener. Comput. Syst.

Expert Syst. Appl.

Knowl. Based Syst.

Tunis El Manar University, Tunesia (PHD)

Education History

Tunis El Manar University, Tunesia

PHD

Publications

Nour El Islem Karabadji, Abdelaziz Amara Korba, Ali Assi, Hassina Seridi, Sabeur Aridhi, Wajdi Dhifli
Accuracy and diversity-aware multi-objective approach for random forest construction. Expert Syst. Appl. 225 (2023)
Md. Kamrul Islam, Sabeur Aridhi, Malika Smaïl-Tabbone
Negative sampling and rule mining for explainable link prediction in knowledge graphs. Knowl. Based Syst. 250 (2022)
Marcelo B. A. Veras, Bishnu Sarker, Sabeur Aridhi, João P. P. Gomes, José A. F. de Macêdo, Engelbert Mephu Nguifo, Marie-Dominique Devignes, Malika Smaïl-Tabbone
On the design of a similarity function for sparse binary data with application on protein function annotation. Knowl. Based Syst. 238 (2022)
Akrem Sellami, Bishnu Sarker, Salvatore Tabbone, Marie-Dominique Devignes, Sabeur Aridhi
A Semi-supervised Graph Deep Neural Network for Automatic Protein Function Annotation. IWBBIO (2) (2022)
Bishnu Sarker, Navya Khare, Marie-Dominique Devignes, Sabeur Aridhi
Improving automatic GO annotation with semantic similarity. BMC Bioinform. (2) (2022)
Wissem Inoubli, Sabeur Aridhi, Haithem Mezni, Mondher Maddouri, Engelbert Mephu Nguifo
A distributed and incremental algorithm for large-scale graph clustering. Future Gener. Comput. Syst. 134 (2022)
Haithem Mezni, Mokhtar Sellami, Sabeur Aridhi, Faouzi Ben Charrada
Towards big services: a synergy between service computing and parallel programming. Computing 103 (11) (2021)
Md. Kamrul Islam, Sabeur Aridhi, Malika Smaïl-Tabbone
Simple Negative Sampling for Link Prediction in Knowledge Graphs. COMPLEX NETWORKS (2021)
Sabeur Aridhi, José A. F. de Macêdo, Engelbert Mephu Nguifo, Karine Zeitouni
Special issue on "Advances on Large Evolving Graphs". Future Gener. Comput. Syst. 110 (2020)
Bishnu Sarker, David W. Ritchie, Sabeur Aridhi
GrAPFI: predicting enzymatic function of proteins from domain similarity graphs. BMC Bioinform. 21 (1) (2020)
Bishnu Sarker, Navya Khare, Marie-Dominique Devignes, Sabeur Aridhi
Graph Based Automatic Protein Function Annotation Improved by Semantic Similarity. IWBBIO (2020)
Md. Kamrul Islam, Sabeur Aridhi, Malika Smaïl-Tabbone
A comparative study of similarity-based and GNN-based link prediction approaches. CoRR (2020)
Manel Zoghlami, Sabeur Aridhi, Mondher Maddouri, Engelbert Mephu Nguifo
Multiple instance learning for sequence data with across bag dependencies. Int. J. Mach. Learn. Cybern. 11 (3) (2020)
Wissem Inoubli, Sabeur Aridhi, Haithem Mezni, Mondher Maddouri, Engelbert Mephu Nguifo
Un algorithme distribué pour le clustering de grands graphes. EGC (2020)
Nour El Islem Karabadji, Ilyes Khelf, Hassina Seridi, Sabeur Aridhi, Didier Rémond, Wajdi Dhifli
A data sampling and attribute selection strategy for improving decision tree construction. Expert Syst. Appl. 129 (2019)
Bishnu Sarker, David W. Ritchie, Sabeur Aridhi
Functional Annotation of Proteins using Domain Embedding based Sequence Classification. KDIR (2019)
Allel Hadjali, Haithem Mezni, Sabeur Aridhi, Andrei Tchernykh
Special issue on "Uncertainty in Cloud Computing: Concepts, Challenges and Current Solutions". Int. J. Approx. Reason. 111 (2019)
Manel Zoghlami, Sabeur Aridhi, Mondher Maddouri, Engelbert Mephu Nguifo
A Structure Based Multiple Instance Learning Approach for Bacterial Ionizing Radiation Resistance Prediction. KES (2019)
Bishnu Sarker, David W. Ritchie, Sabeur Aridhi
Exploiting Complex Protein Domain Networks for Protein Function Annotation. COMPLEX NETWORKS (2) (2018)
Nour El Islem Karabadji, Samia Beldjoudi, Hassina Seridi, Sabeur Aridhi, Wajdi Dhifli
Improving memory-based user collaborative filtering with evolutionary multi-objective optimization. Expert Syst. Appl. 98 (2018)
Wissem Inoubli, Sabeur Aridhi, Haithem Mezni, Mondher Maddouri, Engelbert Mephu Nguifo
An experimental survey on big data frameworks. Future Gener. Comput. Syst. 86 (2018)
Manel Zoghlami, Sabeur Aridhi, Mondher Maddouri, Engelbert Mephu Nguifo
ABClass : Une approche d'apprentissage multi-instances pour les séquences(ABClass: A multiple instance learning approach for sequence data). CNIA+RJCIA (2018)
Wissem Inoubli, Sabeur Aridhi, Haithem Mezni, Mondher Maddouri, Engelbert Mephu Nguifo
A Comparative Study on Streaming Frameworks for Big Data. LADaS@VLDB (2018)
Haithem Mezni, Sabeur Aridhi, Allel Hadjali
The uncertain cloud: State of the art and research challenges. Int. J. Approx. Reason. 103 (2018)
Wissem Inoubli, Lívia Almada Cruz, Ticiana Linhares Coelho da Silva, Gustavo Coutinho, Lucas Peres, Regis Pires Magalhães, José Antônio Fernandes de Macêdo, Sabeur Aridhi, Engelbert Mephu Nguifo
A Distributed Framework for Large-Scale Time-Dependent Graph Analysis. TD-LSG@PKDD/ECML (2017)
Sabeur Aridhi, Alberto Montresor, Yannis Velegrakis
BLADYG: A Graph Processing Framework for Large Dynamic Graphs. Big Data Res. 9 (2017)
Wajdi Dhifli, Sabeur Aridhi, Engelbert Mephu Nguifo
MR-SimLab: Scalable subgraph selection with label similarity for big data. Inf. Syst. 69 (2017)
Sabeur Aridhi, Seyed Ziaeddin Alborzi, Malika Smaïl-Tabbone, Marie-Dominique Devignes, David W. Ritchie
Neighborhood-Based Label Propagation in Large Protein Graphs. CoRR (2017)
Nour El Islem Karabadji, Hassina Seridi, Fouad Bousetouane, Wajdi Dhifli, Sabeur Aridhi
An evolutionary scheme for decision tree construction. Knowl. Based Syst. 119 (2017)
Sabeur Aridhi, Alberto Montresor, Yannis Velegrakis
BLADYG: A Graph Processing Framework for Large Dynamic Graphs. CoRR (2017)
Manel Zoghlami, Sabeur Aridhi, Haïtham Sghaier, Mondher Maddouri, Engelbert Mephu Nguifo
A multiple instance learning approach for sequence data with across bag dependencies. CoRR (2016)
Alexander Jung, Alfred O. Hero III, Alexandru Mara, Sabeur Aridhi
Scalable Semi-Supervised Learning over Networks using Nonsmooth Convex Optimization. CoRR (2016)
Sabeur Aridhi, Martin Brugnara, Alberto Montresor, Yannis Velegrakis
Distributed k-core decomposition and maintenance in large dynamic graphs. DEBS (2016)
Chayma Sakouhi, Sabeur Aridhi, Alessio Guerrieri, Salma Sassi, Alberto Montresor
DynamicDFEP: A Distributed Edge Partitioning Approach for Large Dynamic Graphs. IDEAS (2016)
Sabeur Aridhi, Alberto Montresor, Yannis Velegrakis
BLADYG: A Novel Block-Centric Framework for the Analysis of Large Dynamic Graphs. HPGP@HPDC (2016)
Sabeur Aridhi, Haïtham Sghaier, Manel Zoghlami, Mondher Maddouri, Engelbert Mephu Nguifo
Prediction of Ionizing Radiation Resistance in Bacteria Using a Multiple Instance Learning Model. J. Comput. Biol. 23 (1) (2016)
Sabeur Aridhi, Engelbert Mephu Nguifo
Big Graph Mining: Frameworks and Techniques. CoRR (2016)
Wissem Inoubli, Sabeur Aridhi, Haithem Mezni, Alexander Jung
Big Data Frameworks: A Comparative Study. CoRR (2016)
Sabeur Aridhi, Engelbert Mephu Nguifo
Big Graph Mining: Frameworks and Techniques. Big Data Res. 6 (2016)
Nour El Islem Karabadji, Sabeur Aridhi, Hassina Seridi
A Closed Frequent Subgraph Mining Algorithm in Unique Edge Label Graphs. MLDM (2016)
Sabeur Aridhi, Laurent d'Orazio, Mondher Maddouri, Engelbert Mephu Nguifo
Cost Models for Distributed Pattern Mining in the Cloud. TrustCom/BigDataSE/ISPA (2) (2015)
Sabeur Aridhi, Philippe Lacomme, Libo Ren, Benjamin Vincent
A MapReduce-based approach for shortest path problem in large-scale networks. Eng. Appl. Artif. Intell. 41 (2015)
Sabeur Aridhi, Laurent d'Orazio, Mondher Maddouri, Engelbert Mephu Nguifo
Density-based data partitioning strategy to approximate large-scale subgraph mining. Inf. Syst. 48 (2015)
Cyrine Arouri, Engelbert Mephu Nguifo, Sabeur Aridhi, Cécile Roucelle, Gaëlle Bonnet-Loosli, Norbert Tsopzé
Towards a constructive multilayer perceptron for regression task using non-parametric clustering. A case study of Photo-Z redshift reconstruction. CoRR (2014)
Sabeur Aridhi, Laurent d'Orazio, Mondher Maddouri, Engelbert Mephu Nguifo
Un partitionnement basé sur la densité de graphe pour approcher la fouille distribuée de sous-graphes fréquents. Tech. Sci. Informatiques 33 (9-10) (2014)
Sabeur Aridhi, Mondher Maddouri, Haïtham Sghaier, Engelbert Mephu Nguifo
Computational phenotype prediction of ionizing-radiation-resistant bacteria with a multiple-instance learning model. BIOKDD (2013)
Rabie Saidi, Sabeur Aridhi, Engelbert Mephu Nguifo, Mondher Maddouri
Feature extraction in protein sequences classification: a new stability measure. BCB (2012)
Rabie Saidi, Sabeur Aridhi, Mondher Maddouri, Engelbert Mephu Nguifo
Etude de stabilité de méthodes d'extraction de motifs à partir des séquences protéiques. EGC (2010)

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Publication Activity (10 Years)

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Sabeur Aridhi