Sabeur Aridhi

, 2023

2022

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

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

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

[BibT_eX]

[DOI]

Md. Kamrul Islam

Knowl. Based Syst., 2022

A distributed and incremental algorithm for large-scale graph clustering.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2022

Improving automatic GO annotation with semantic similarity.

[BibT_eX]

[DOI]

Navya Khare

BMC Bioinform., 2022

A Semi-supervised Graph Deep Neural Network for Automatic Protein Function Annotation.

[BibT_eX]

[DOI]

Akrem Sellami

Salvatore Tabbone

Proceedings of the Bioinformatics and Biomedical Engineering, 2022

2021

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

[BibT_eX]

[DOI]

Computing, 2021

Simple Negative Sampling for Link Prediction in Knowledge Graphs.

[BibT_eX]

[DOI]

Md. Kamrul Islam

Proceedings of the Complex Networks & Their Applications X - Volume 2, Proceedings of the Tenth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021, Madrid, Spain, November 30, 2021

2020

Multiple instance learning for sequence data with across bag dependencies.

[BibT_eX]

[DOI]

Manel Zoghlami

Int. J. Mach. Learn. Cybern., 2020

Special issue on "Advances on Large Evolving Graphs".

[BibT_eX]

[DOI]

José A. F. de Macêdo

Karine Zeitouni

Future Gener. Comput. Syst., 2020

A comparative study of similarity-based and GNN-based link prediction approaches.

[BibT_eX]

[DOI]

Md. Kamrul Islam

CoRR, 2020

GrAPFI: predicting enzymatic function of proteins from domain similarity graphs.

[BibT_eX]

[DOI]

BMC Bioinform., 2020

Graph Based Automatic Protein Function Annotation Improved by Semantic Similarity.

[BibT_eX]

[DOI]

Navya Khare

Proceedings of the Bioinformatics and Biomedical Engineering, 2020

Un algorithme distribué pour le clustering de grands graphes.

[BibT_eX]

[DOI]

Proceedings of the Extraction et Gestion des Connaissances, 2020

2019

Special issue on "Uncertainty in Cloud Computing: Concepts, Challenges and Current Solutions".

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2019

A data sampling and attribute selection strategy for improving decision tree construction.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2019

A Structure Based Multiple Instance Learning Approach for Bacterial Ionizing Radiation Resistance Prediction.

[BibT_eX]

[DOI]

Manel Zoghlami

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 23rd International Conference KES-2019, 2019

Functional Annotation of Proteins using Domain Embedding based Sequence Classification.

[BibT_eX]

[DOI]

Proceedings of the 11th International Joint Conference on Knowledge Discovery, 2019

2018

The uncertain cloud: State of the art and research challenges.

[BibT_eX]

[DOI]

Haithem Mezni

Allel Hadjali

Int. J. Approx. Reason., 2018

An experimental survey on big data frameworks.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2018

Improving memory-based user collaborative filtering with evolutionary multi-objective optimization.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2018

A Comparative Study on Streaming Frameworks for Big Data.

[BibT_eX]

[DOI]

Proceedings of the Latin America Data Science Workshop co-located with 44th International Conference on Very Large Data Bases (VLDB 2018), 2018

ABClass : Une approche d'apprentissage multi-instances pour les séquences(ABClass: A multiple instance learning approach for sequence data).

[BibT_eX]

[DOI]

Manel Zoghlami

Proceedings of the Actes de la Conférence Nationale d'Intelligence Artificielle et Rencontres des Jeunes Chercheurs en Intelligence Artificielle (CNIA+RJCIA 2018), 2018

Exploiting Complex Protein Domain Networks for Protein Function Annotation.

[BibT_eX]

[DOI]

Proceedings of the Complex Networks and Their Applications VII, 2018

2017

An evolutionary scheme for decision tree construction.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2017

MR-SimLab: Scalable subgraph selection with label similarity for big data.

[BibT_eX]

[DOI]

Wajdi Dhifli

Inf. Syst., 2017

Neighborhood-Based Label Propagation in Large Protein Graphs.

[BibT_eX]

[DOI]

Seyed Ziaeddin Alborzi

CoRR, 2017

BLADYG: A Graph Processing Framework for Large Dynamic Graphs.

[BibT_eX]

[DOI]

Ticiana Linhares Coelho da Silva

Alberto Montresor

Yannis Velegrakis

Big Data Res., 2017

A Distributed Framework for Large-Scale Time-Dependent Graph Analysis.

[BibT_eX]

[DOI]

Wissem Inoubli

Lívia Almada Cruz

Gustavo Coutinho

Lucas Peres

Regis Pires Magalhães

José Antônio Fernandes de Macêdo

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), 2017

2016

Prediction of Ionizing Radiation Resistance in Bacteria Using a Multiple Instance Learning Model.

[BibT_eX]

[DOI]

J. Comput. Biol., 2016

A multiple instance learning approach for sequence data with across bag dependencies.

[BibT_eX]

[DOI]

CoRR, 2016

Scalable Semi-Supervised Learning over Networks using Nonsmooth Convex Optimization.

[BibT_eX]

[DOI]

CoRR, 2016

Big Data Frameworks: A Comparative Study.

[BibT_eX]

[DOI]

CoRR, 2016

Big Graph Mining: Frameworks and Techniques.

[BibT_eX]

[DOI]

Big Data Res., 2016

A Closed Frequent Subgraph Mining Algorithm in Unique Edge Label Graphs.

[BibT_eX]

[DOI]

Hassina Seridi

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2016

DynamicDFEP: A Distributed Edge Partitioning Approach for Large Dynamic Graphs.

[BibT_eX]

[DOI]

Proceedings of the 20th International Database Engineering & Applications Symposium, 2016

BLADYG: A Novel Block-Centric Framework for the Analysis of Large Dynamic Graphs.

[BibT_eX]

[DOI]

Alberto Montresor

Yannis Velegrakis

Proceedings of the ACM Workshop on High Performance Graph Processing, 2016

Distributed k-core decomposition and maintenance in large dynamic graphs.

[BibT_eX]

[DOI]

Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems, 2016

2015

Density-based data partitioning strategy to approximate large-scale subgraph mining.

[BibT_eX]

[DOI]

Laurent d'Orazio

Inf. Syst., 2015

A MapReduce-based approach for shortest path problem in large-scale networks.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2015

Cost Models for Distributed Pattern Mining in the Cloud.

[BibT_eX]

[DOI]

Laurent d'Orazio

Proceedings of the 2015 IEEE TrustCom/BigDataSE/ISPA, 2015

2014

Un partitionnement basé sur la densité de graphe pour approcher la fouille distribuée de sous-graphes fréquents.

[BibT_eX]

[DOI]

Laurent d'Orazio

Tech. Sci. Informatiques, 2014

Towards a constructive multilayer perceptron for regression task using non-parametric clustering. A case study of Photo-Z redshift reconstruction.

[BibT_eX]

[DOI]

Cyrine Arouri

CoRR, 2014

2013

Distributed frequent subgraph mining in the cloud. (Fouille de sous-graphes fréquents dans les nuages).

[BibT_eX]

[DOI]

PhD thesis, 2013

Computational phenotype prediction of ionizing-radiation-resistant bacteria with a multiple-instance learning model.

[BibT_eX]

[DOI]

Haïtham Sghaier

Proceedings of the 12th International Workshop on Data Mining in Bioinformatics, 2013

2012

Feature extraction in protein sequences classification: a new stability measure.

[BibT_eX]

[DOI]

Rabie Saidi

Proceedings of the ACM International Conference on Bioinformatics, 2012

2010

Etude de stabilité de méthodes d'extraction de motifs à partir des séquences protéiques.

[BibT_eX]

[DOI]

Rabie Saidi