Sabeur Aridhi - RankMe

55 papers B 4C 1Journal 31Unranked 16

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	Comparative Analysis of Multimodal Fusion Techniques for Clinical Severity Classification. IEEE Big Data Ayush Bajracharya, Yannick Toussaint, Sabeur Aridhi
2025	J	`jnl`	Knowledge graph representation learning: A comprehensive and experimental overview. Comput. Sci. Rev. Dorsaf Sellami, Wissem Inoubli, Imed Riadh Farah, Sabeur Aridhi
2025	B	`conf`	SA-KGP: A Semantic-Aware Partitioning Method for Scalable Knowledge Graph Embedding. IEEE Big Data Dorsaf Sellami, Wissem Inoubli, Imed Riadh Farah, Sabeur Aridhi
2024	B	`conf`	DKGR: A Distributed Framework for Geometric Knowledge Graph Embedding with Ray. KES Mohammed Khatbane, Md. Kamrul Islam, Sabeur Aridhi, Malika Smaïl-Tabbone
2023	J	`jnl`	Accuracy and diversity-aware multi-objective approach for random forest construction. Expert Syst. Appl. Nour El Islem Karabadji, Abdelaziz Amara Korba, Ali Assi, Hassina Seridi, Sabeur Aridhi, Wajdi Dhifli
2023	—	`book`	Découverte de connaissances à partir de grands graphes biologiques. (Knowledge discovery from large biological graphs / Knowledge discovery from large biological graphs: Knowledge discovery from large biological graphs). Sabeur Aridhi
2022	—	`conf`	A Semi-supervised Graph Deep Neural Network for Automatic Protein Function Annotation. IWBBIO (2) Akrem Sellami, Bishnu Sarker, Salvatore Tabbone, Marie-Dominique Devignes, Sabeur Aridhi
2022	J	`jnl`	A distributed and incremental algorithm for large-scale graph clustering. Future Gener. Comput. Syst. Wissem Inoubli, Sabeur Aridhi, Haithem Mezni, Mondher Maddouri, Engelbert Mephu Nguifo
2022	J	`jnl`	Improving automatic GO annotation with semantic similarity. BMC Bioinform. Bishnu Sarker, Navya Khare, Marie-Dominique Devignes, Sabeur Aridhi
2022	J	`jnl`	Negative sampling and rule mining for explainable link prediction in knowledge graphs. Knowl. Based Syst. Md. Kamrul Islam, Sabeur Aridhi, Malika Smaïl-Tabbone
2022	J	`jnl`	On the design of a similarity function for sparse binary data with application on protein function annotation. Knowl. Based Syst. 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
2021	—	`conf`	Simple Negative Sampling for Link Prediction in Knowledge Graphs. COMPLEX NETWORKS Md. Kamrul Islam, Sabeur Aridhi, Malika Smaïl-Tabbone
2021	J	`jnl`	Towards big services: a synergy between service computing and parallel programming. Computing Haithem Mezni, Mokhtar Sellami, Sabeur Aridhi, Faouzi Ben Charrada
2020	J	`jnl`	A comparative study of similarity-based and GNN-based link prediction approaches. CoRR Md. Kamrul Islam, Sabeur Aridhi, Malika Smaïl-Tabbone
2020	J	`jnl`	GrAPFI: predicting enzymatic function of proteins from domain similarity graphs. BMC Bioinform. Bishnu Sarker, David W. Ritchie, Sabeur Aridhi
2020	—	`conf`	Graph Based Automatic Protein Function Annotation Improved by Semantic Similarity. IWBBIO Bishnu Sarker, Navya Khare, Marie-Dominique Devignes, Sabeur Aridhi
2020	J	`jnl`	Multiple instance learning for sequence data with across bag dependencies. Int. J. Mach. Learn. Cybern. Manel Zoghlami, Sabeur Aridhi, Mondher Maddouri, Engelbert Mephu Nguifo
2020	J	`jnl`	Special issue on "Advances on Large Evolving Graphs". Future Gener. Comput. Syst. Sabeur Aridhi, José A. F. de Macêdo, Engelbert Mephu Nguifo, Karine Zeitouni
2020	—	`conf`	Un algorithme distribué pour le clustering de grands graphes. EGC Wissem Inoubli, Sabeur Aridhi, Haithem Mezni, Mondher Maddouri, Engelbert Mephu Nguifo
2019	B	`conf`	A Structure Based Multiple Instance Learning Approach for Bacterial Ionizing Radiation Resistance Prediction. KES Manel Zoghlami, Sabeur Aridhi, Mondher Maddouri, Engelbert Mephu Nguifo
2019	J	`jnl`	A data sampling and attribute selection strategy for improving decision tree construction. Expert Syst. Appl. Nour El Islem Karabadji, Ilyes Khelf, Hassina Seridi, Sabeur Aridhi, Didier Rémond, Wajdi Dhifli
2019	—	`conf`	Functional Annotation of Proteins using Domain Embedding based Sequence Classification. KDIR Bishnu Sarker, David W. Ritchie, Sabeur Aridhi
2019	J	`jnl`	Special issue on "Uncertainty in Cloud Computing: Concepts, Challenges and Current Solutions". Int. J. Approx. Reason. Allel Hadjali, Haithem Mezni, Sabeur Aridhi, Andrei Tchernykh
2018	—	`conf`	A Comparative Study on Streaming Frameworks for Big Data. LADaS@VLDB Wissem Inoubli, Sabeur Aridhi, Haithem Mezni, Mondher Maddouri, Engelbert Mephu Nguifo
2018	—	`conf`	ABClass : Une approche d'apprentissage multi-instances pour les séquences(ABClass: A multiple instance learning approach for sequence data). CNIA+RJCIA Manel Zoghlami, Sabeur Aridhi, Mondher Maddouri, Engelbert Mephu Nguifo
2018	J	`jnl`	An experimental survey on big data frameworks. Future Gener. Comput. Syst. Wissem Inoubli, Sabeur Aridhi, Haithem Mezni, Mondher Maddouri, Engelbert Mephu Nguifo
2018	—	`conf`	Exploiting Complex Protein Domain Networks for Protein Function Annotation. COMPLEX NETWORKS (2) Bishnu Sarker, David W. Ritchie, Sabeur Aridhi
2018	J	`jnl`	Improving memory-based user collaborative filtering with evolutionary multi-objective optimization. Expert Syst. Appl. Nour El Islem Karabadji, Samia Beldjoudi, Hassina Seridi, Sabeur Aridhi, Wajdi Dhifli
2018	J	`jnl`	The uncertain cloud: State of the art and research challenges. Int. J. Approx. Reason. Haithem Mezni, Sabeur Aridhi, Allel Hadjali
2017	—	`conf`	A Distributed Framework for Large-Scale Time-Dependent Graph Analysis. TD-LSG@PKDD/ECML 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
2017	J	`jnl`	An evolutionary scheme for decision tree construction. Knowl. Based Syst. Nour El Islem Karabadji, Hassina Seridi, Fouad Bousetouane, Wajdi Dhifli, Sabeur Aridhi
2017	J	`jnl`	BLADYG: A Graph Processing Framework for Large Dynamic Graphs. Big Data Res. Sabeur Aridhi, Alberto Montresor, Yannis Velegrakis
2017	J	`jnl`	BLADYG: A Graph Processing Framework for Large Dynamic Graphs. CoRR Sabeur Aridhi, Alberto Montresor, Yannis Velegrakis
2017	J	`jnl`	MR-SimLab: Scalable subgraph selection with label similarity for big data. Inf. Syst. Wajdi Dhifli, Sabeur Aridhi, Engelbert Mephu Nguifo
2017	J	`jnl`	Neighborhood-Based Label Propagation in Large Protein Graphs. CoRR Sabeur Aridhi, Seyed Ziaeddin Alborzi, Malika Smaïl-Tabbone, Marie-Dominique Devignes, David W. Ritchie
2017	—	`ed.`	Proceedings of the Workshop on Large-Scale Time Dependent Graphs (TD-LSG 2017) co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2017), Skopje, Macedonia, September 18, 2017. TD-LSG@PKDD/ECML Sabeur Aridhi, José Antônio Fernandes de Macêdo, Engelbert Mephu Nguifo, Karine Zeitouni
2016	—	`conf`	A Closed Frequent Subgraph Mining Algorithm in Unique Edge Label Graphs. MLDM Nour El Islem Karabadji, Sabeur Aridhi, Hassina Seridi
2016	J	`jnl`	A multiple instance learning approach for sequence data with across bag dependencies. CoRR Manel Zoghlami, Sabeur Aridhi, Haïtham Sghaier, Mondher Maddouri, Engelbert Mephu Nguifo
2016	—	`conf`	BLADYG: A Novel Block-Centric Framework for the Analysis of Large Dynamic Graphs. HPGP@HPDC Sabeur Aridhi, Alberto Montresor, Yannis Velegrakis
2016	J	`jnl`	Big Data Frameworks: A Comparative Study. CoRR Wissem Inoubli, Sabeur Aridhi, Haithem Mezni, Alexander Jung
2016	J	`jnl`	Big Graph Mining: Frameworks and Techniques. Big Data Res. Sabeur Aridhi, Engelbert Mephu Nguifo
2016	J	`jnl`	Big Graph Mining: Frameworks and Techniques. CoRR Sabeur Aridhi, Engelbert Mephu Nguifo
2016	—	`conf`	Distributed k-core decomposition and maintenance in large dynamic graphs. DEBS Sabeur Aridhi, Martin Brugnara, Alberto Montresor, Yannis Velegrakis
2016	C	`conf`	DynamicDFEP: A Distributed Edge Partitioning Approach for Large Dynamic Graphs. IDEAS Chayma Sakouhi, Sabeur Aridhi, Alessio Guerrieri, Salma Sassi, Alberto Montresor
2016	J	`jnl`	Prediction of Ionizing Radiation Resistance in Bacteria Using a Multiple Instance Learning Model. J. Comput. Biol. Sabeur Aridhi, Haïtham Sghaier, Manel Zoghlami, Mondher Maddouri, Engelbert Mephu Nguifo
2016	J	`jnl`	Scalable Semi-Supervised Learning over Networks using Nonsmooth Convex Optimization. CoRR Alexander Jung, Alfred O. Hero III, Alexandru Mara, Sabeur Aridhi
2015	J	`jnl`	A MapReduce-based approach for shortest path problem in large-scale networks. Eng. Appl. Artif. Intell. Sabeur Aridhi, Philippe Lacomme, Libo Ren, Benjamin Vincent
2015	—	`conf`	Cost Models for Distributed Pattern Mining in the Cloud. TrustCom/BigDataSE/ISPA (2) Sabeur Aridhi, Laurent d'Orazio, Mondher Maddouri, Engelbert Mephu Nguifo
2015	J	`jnl`	Density-based data partitioning strategy to approximate large-scale subgraph mining. Inf. Syst. Sabeur Aridhi, Laurent d'Orazio, Mondher Maddouri, Engelbert Mephu Nguifo
2014	J	`jnl`	Towards a constructive multilayer perceptron for regression task using non-parametric clustering. A case study of Photo-Z redshift reconstruction. CoRR Cyrine Arouri, Engelbert Mephu Nguifo, Sabeur Aridhi, Cécile Roucelle, Gaëlle Bonnet-Loosli, Norbert Tsopzé
2014	J	`jnl`	Un partitionnement basé sur la densité de graphe pour approcher la fouille distribuée de sous-graphes fréquents. Tech. Sci. Informatiques Sabeur Aridhi, Laurent d'Orazio, Mondher Maddouri, Engelbert Mephu Nguifo
2013	—	`conf`	Computational phenotype prediction of ionizing-radiation-resistant bacteria with a multiple-instance learning model. BIOKDD Sabeur Aridhi, Mondher Maddouri, Haïtham Sghaier, Engelbert Mephu Nguifo
2013	—	`—`	Distributed frequent subgraph mining in the cloud. (Fouille de sous-graphes fréquents dans les nuages). Sabeur Aridhi
2012	—	`conf`	Feature extraction in protein sequences classification: a new stability measure. BCB Rabie Saidi, Sabeur Aridhi, Engelbert Mephu Nguifo, Mondher Maddouri
2010	—	`conf`	Etude de stabilité de méthodes d'extraction de motifs à partir des séquences protéiques. EGC Rabie Saidi, Sabeur Aridhi, Mondher Maddouri, Engelbert Mephu Nguifo