Aridhi, Sabeur

Associate Professor (HDR), Université de Lorraine (TELECOM)

Publications

2024

Journal

  1. Knowledge graph representation learning: a comprehensive and experimental overview. Dorssaf Sellami, Wissem Inoubli, Imed Riadh Farah, Sabeur Aridhi. Computer Science Review, Elsevier.

2022

Journal

  1. A distributed and incremental algorithm for large-scale graph clustering. Wissem Inoubli, Sabeur Aridhi, Haithem Mezni, Mondher Maddouri, Engelbert Mephu Nguifo. Future Generation Computer Systems, Elsevier.
  2. Negative Sampling and Rule Mining for Explainable Link Prediction in Knowledge Graphs. Kamrul Islam, Sabeur Aridhi, Malika Smaïl-Tabbone. Knowledge-Based Systems, Elsevier.
  3. Improving automatic GO annotation with semantic similarity. Bishnu Sarker, Navya Khare, Marie-Dominique Devignes, Sabeur Aridhi. BMC Bioinformatics, BioMed Central.
  4. On the design of a similarity function for sparse binary data with application on protein function annotation. Marcelo Veras, Bishnu Sarker, Sabeur Aridhi, João Gomes, José Macêdo, Engelbert Nguifo, Marie-Dominique Devignes, Malika Smaïl-Tabbone. Knowledge-Based Systems, Elsevier.

Conference paper

  1. A Semi-supervised Graph Deep Neural Network for Automatic Protein Function Annotation. Akrem Sellami, Bishnu Sarker, Salvatore Tabbone, Marie-Dominique Devignes, Sabeur Aridhi. In proceedings of 9th International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO), Gran Canaria, Spain.

2021

Journal

  1. An Experimental Evaluation of Similarity-Based and Embedding-Based Link Prediction Methods on Graphs. Md Kamrul Islam, Sabeur Aridhi, Malika Smaïl-Tabbone. International Journal of Data Mining & Knowledge Management Process, AIRCC Publishing Corporation.
  2. Towards big services: a synergy between service computing and parallel programming. Haithem Mezni, Mokhtar Sellami, Sabeur Aridhi, Faouzi Ben Charrada. Computing, Springer Verlag.

Conference paper

  1. From competition to collaboration: Ensembling similarity-based heuristics for supervised link prediction in biological graphs. Md Kamrul Islam, Sabeur Aridhi, Malika Smail-Tabbone. In proceedings of International Conference on Bangabandhu and Digital Bangladesh 2021, Dhaka, Bangladesh.
  2. Simple negative sampling for link prediction in knowledge graphs. Md Kamrul Islam, Sabeur Aridhi, Malika Smaïl-Tabbone. In proceedings of The 10th International Conference on Complex Networks and their Applications, Madrid, Spain.
  3. Appraisal Study of Similarity-Based and Embedding-Based Link Prediction Methods on Graphs. Md Kamrul Islam, Sabeur Aridhi, Malika Smaïl-Tabbone. In proceedings of CDKP 2021 - 10th International Conference on Data Mining & Knowledge Management Process, London, United Kingdom.
  4. Prot-A-GAN: Automatic Protein Function Annotation using GAN-inspired Knowledge Graph Embedding. Bishnu Sarker, Marie-Dominique Devignes, Guy Wolf, Sabeur Aridhi. In proceedings of ICML 2021 - Workshop on Computational Biology, Virtual, United States.

Other publications

  1. A Distributed and Incremental Algorithm for Large-Scale Graph Clustering. Wissem Inoubli, Sabeur Aridhi, Haithem Mezni, Mondher Maddouri, Engelbert Mephu Nguifo.

2020

Journal

  1. Special issue on “Advances on Large Evolving Graphs”. Sabeur Aridhi, José Macedo, Engelbert Nguifo, Karine Zeitouni. Future Generation Computer Systems, Elsevier.
  2. Application of Artificial Intelligence to Gastroenterology and Hepatology. Catherine Le Berre, William Sandborn, Sabeur Aridhi, Marie-Dominique Devignes, Laure Fournier, Malika Smail-Tabbone, Silvio Danese, Laurent Peyrin-Biroulet. Gastroenterology, Elsevier.
  3. GrAPFI: predicting enzymatic function of proteins from domain similarity graphs. Bishnu Sarker, David Ritchie, Sabeur Aridhi. BMC Bioinformatics, BioMed Central.
  4. Multiple instance learning for sequence data with across bag dependencies. Manel Zoghlami, Sabeur Aridhi, Mondher Maddouri, Engelbert Mephu Nguifo. International journal of machine learning and cybernetics, Springer.

Conference paper

  1. Un algorithme distribué pour le clustering de grands graphes. Wissem Inoubli, Sabeur Aridhi, Haithem Mezni, Mondher Maddouri, Engelbert Nguifo. In proceedings of 20ème édition de la conférence francophone “Extraction et gestion des connaissances”, Bruxelles, Belgium.
  2. Optimisation Collective d’Arbres de Décision dans une Forêt Aléatoire. Nour El Islem Karabadji, Hassina Seridi-Bouchelaghem, Abdelaziz Amara Korba, Sabeur Aridhi, Wajdi Dhifli. In proceedings of 36ème Conférence sur la Gestion de Données – Principes, Technologies et Applications (BDA), Paris, France.
  3. Graph Based Automatic Protein Function Annotation Improved by Semantic Similarity. Bishnu Sarker, Navya Khare, Marie-Dominique Devignes, Sabeur Aridhi. In proceedings of IWBBIO 2020 - 8th International Work-Conference on Bioinformatics and Biomedical Engineering, GRANADA, Spain.

Other publications

  1. A Novel Scalable Clustering Method for Distributed Networks. Wissm Inoubli, Sabeur Aridhi, Haithem Mezni, Mondher Maddouri, Engelbert Mephu Nguifo.

2019

Journal

  1. Special issue on “Uncertainty in Cloud Computing: Concepts, Challenges and Current Solutions”. Allel Hadjali, Haithem Mezni, Sabeur Aridhi, Andrei Tchernykh. International Journal of Approximate Reasoning, Elsevier.
  2. A data sampling and attribute selection strategy for improving decision tree construction. Nour El Islem Karabadji, Ilyes Khelf, Hassina Seridi, Sabeur Aridhi, Didier Rémond, Wajdi Dhifli. Expert Systems with Applications, Elsevier.
  3. The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens. Naihui Zhou, Yuxiang Jiang, Timothy Bergquist, Alexandra Lee, Balint Kacsoh, Alex Crocker, Kimberley Lewis, George Georghiou, Huy Nguyen, Md Nafiz Hamid, Larry Davis, Tunca Dogan, Volkan Atalay, Ahmet Rifaioglu, Alperen Dalkiran, Rengul Cetin Atalay, Chengxin Zhang, Rebecca Hurto, Peter Freddolino, Yang Zhang, Prajwal Bhat, Fran Supek, Jose Fernandez, Branislava Gemovic, Vladimir Perovic, Radoslav Davidović, Neven Sumonja, Nevena Veljkovic, Ehsaneddin Asgari, Mohammad R.K. Mofrad, Giuseppe Profiti, Castrense Savojardo, Pier Luigi Martelli, Rita Casadio, Florian Boecker, Heiko Schoof, Indika Kahanda, Natalie Thurlby, Alice Mchardy, Alexandre Renaux, Rabie Saidi, Julian Gough, Alex Freitas, Magdalena Antczak, Fabio Fabris, Mark Wass, Jie Hou, Jianlin Cheng, Zheng Wang, Alfonso Romero, Alberto Paccanaro, Haixuan Yang, Tatyana Goldberg, Chenguang Zhao, Liisa Holm, Petri Törönen, Alan Medlar, Elaine Zosa, Itamar Borukhov, Ilya Novikov, Angela Wilkins, Olivier Lichtarge, Po-Han Chi, Wei-Cheng Tseng, Michal Linial, Peter Rose, Christophe Dessimoz, Vedrana Vidulin, Saso Dzeroski, Ian Sillitoe, Sayoni Das, Jonathan Gill Lees, David Jones, Cen Wan, Domenico Cozzetto, Rui Fa, Mateo Torres, Alex Warwick Vesztrocy, Jose Manuel Rodriguez, Michael Tress, Marco Frasca, Marco Notaro, Giuliano Grossi, Alessandro Petrini, Matteo Re, Giorgio Valentini, Marco Mesiti, Daniel Roche, Jonas Reeb, David Ritchie, Sabeur Aridhi, Seyed Ziaeddin Alborzi, Marie-Dominique Devignes, da Chen Emily Koo, Richard Bonneau, Vladimir Gligorijević, Meet Barot, Hai Fang, Stefano Toppo, Enrico Lavezzo, Marco Falda, Michele Berselli, Silvio C.E. Tosatto, Marco Carraro, Damiano Piovesan, Hafeez Ur Rehman, Qizhong Mao, Shanshan Zhang, Slobodan Vucetic, Gage Black, Dane Jo, Erica Suh, Jonathan Dayton, Dallas Larsen, Ashton Omdahl, Liam Mcguffin, Danielle Brackenridge, Patricia Babbitt, Jeffrey Yunes, Paolo Fontana, Feng Zhang, Shanfeng Zhu, Ronghui You, Zihan Zhang, Suyang Dai, Shuwei Yao, Weidong Tian, Renzhi Cao, Caleb Chandler, Miguel Amezola, Devon Johnson, Jia-Ming Chang, Wen-Hung Liao, Yi-Wei Liu, Stefano Pascarelli, Yotam Frank, Robert Hoehndorf, Maxat Kulmanov, Imane Boudellioua, Gianfranco Politano, Stefano Di Carlo, Alfredo Benso, Kai Hakala, Filip Ginter, Farrokh Mehryary, Suwisa Kaewphan, Jari Björne, Hans Moen, Martti E.E. Tolvanen, Tapio Salakoski, Daisuke Kihara, Aashish Jain, Tomislav Šmuc, Adrian Altenhoff, Asa Ben-Hur, Burkhard Rost, Steven Brenner, Christine Orengo, Constance Jeffery, Giovanni Bosco, Deborah Hogan, Maria Martin, Claire O’donovan, Sean Mooney, Casey Greene, Predrag Radivojac, Iddo Friedberg. Genome Biology, BioMed Central.

Conference paper

  1. Functional Annotation of Proteins using Domain Embedding based Sequence Classification. Bishnu Sarker, David W. Ritchie, Sabeur Aridhi. In proceedings of KDIR 2019 - 11th International Conference on Knowledge Discovery and Information Retrieval, Vienna, Austria.
  2. A Structure Based Multiple Instance Learning Approach for Bacterial Ionizing Radiation Resistance Prediction. Manel Zoghlami, Sabeur Aridhi, Mondher Maddouri, Engelbert Nguifo. In proceedings of KES 2019 - 23rd International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, Budapest, Hungary.

2018

Journal

  1. An experimental survey on big data frameworks. Wissem Inoubli, Sabeur Aridhi, Haithem Mezni, Mondher Maddouri, Engelbert Mephu Nguifo. Future Generation Computer Systems, Elsevier.
  2. Improving memory-based user collaborative filtering with evolutionary multi-objective optimization. Nour El Islem Karabadji, Samia Beldjoudi, Hassina Seridi, Sabeur Aridhi, Wajdi Dhifli. Expert Systems with Applications, Elsevier.
  3. The uncertain cloud: State of the art and research challenges. Haithem Mezni, Sabeur Aridhi, Allel Hadjali. International Journal of Approximate Reasoning, Elsevier.

Book chapter

  1. An Overview of in Silico Methods for the Prediction of Ionizing Radiation Resistance in Bacteria. Manel Zoghlami, Sabeur Aridhi, Mondher Maddouri, Engelbert Mephu Nguifo. Tamar Reeve (eds). 2018.

Conference paper

  1. An experimental survey on big data frameworks (Highlight paper). Wissem Inoubli, Sabeur Aridhi, Haithem Mezni, Mondher Maddouri, Engelbert Nguifo. In proceedings of BDA 2018 - 34ème Conférence sur la Gestion de Données – Principes, Technologies et Applications, Bucarest, Romania.
  2. A Comparative Study on Streaming Frameworks for Big Data. Wissem Inoubli, Sabeur Aridhi, Haithem Mezni, Mondher Maddouri, Engelbert Nguifo. In proceedings of VLDB 2018 - 44th International Conference on Very Large Data Bases : Workshop LADaS - Latin American Data Science, Rio de Janeiro, Brazil.
  3. Exploiting Complex Protein Domain Networks for Protein Function Annotation. Bishnu Sarker, David Ritchie, Sabeur Aridhi. In proceedings of Complex Networks 2018 - 7th International Conference on Complex Networks and Their Applications, Cambridge, United Kingdom.
  4. ABClass : Une approche d’apprentissage multi-instances pour les séquences. Manel Zoghlami, Sabeur Aridhi, Mondher Maddouri, Engelbert Nguifo. In proceedings of RJCIA 2018 - 16èmes Rencontres des Jeunes Chercheurs en Intelligence Artificielle, Nancy, France.

2017

Journal

  1. BLADYG: A Graph Processing Framework for Large Dynamic Graphs. Sabeur Aridhi, Alberto Montresor, Yannis Velegrakis. Big Data Research, Elsevier.
  2. MR-SimLab: Scalable subgraph selection with label similarity for big data. Wajdi Dhifli, Sabeur Aridhi, Engelbert Mephu Nguifo. Information Systems, Elsevier.
  3. An evolutionary scheme for decision tree construction. Nour El Islem Karabadji, Hassina Seridi, Fouad Bousetouane, Wajdi Dhifli, Sabeur Aridhi. Knowledge-Based Systems, Elsevier.

Conference paper

  1. Automatic Generation of Functional Annotation Rules Using Inferred GO-Domain Associations. Seyed Ziaeddin Alborzi, Sabeur Aridhi, Marie-Dominique Devignes, Rabie Saidi, Alexandre Renaux, Maria-Jesus Martin, David W. Ritchie. In proceedings of Function-SIG ISMB/ECCB 2017, Prague, Czechia.
  2. A Distributed Framework for Large-Scale Time-Dependent Graph Analysis. Wissem Inoubli, Livia Almada, Ticiana L. Coelho da Silva, Gustavo Coutinho, Lucas Peres, Regis Pires Magalhaes, Jose Antonio F. de Macedo, Sabeur Aridhi, Engelbert Mephu Nguifo. In proceedings of ECML PKDD 2017 - TD-LSG 2017 : workshop Advances in Mining Large-Scale Time Dependent Graphs, Skopje, North Macedonia.

2016

Journal

  1. Big Graph Mining: Frameworks and Techniques. Sabeur Aridhi, Engelbert Mephu. Big Data Research, Elsevier.
  2. Prediction of Ionizing Radiation Resistance in Bacteria Using a Multiple Instance Learning Model. Sabeur Aridhi, Haïtham Sghaier, Manel Zoghlami, Mondher Maddouri, Engelbert Mephu Nguifo. Journal of Computational Biology, Mary Ann Liebert.

Conference paper

  1. Distributed k-core decomposition and maintenance in large dynamic graphs. Sabeur Aridhi, Martin Brugnara, Alberto Montresor, Yannis Velegrakis. In proceedings of the 10th ACM International Conference, Irvine, France.

2015

Conference paper

  1. Cost models for distributed pattern mining in the cloud: application to graph patterns. Sabeur Aridhi, Laurent d’Orazio, Mondher Maddouri, Engelbert Mephu Nguifo, Laurent Dorazio, Engelbert Mephu Nguifo. In proceedings of IEEE Trustcom/BigDataSE/ISPA, Helsinki, Finland.

2014

Conference paper

  1. SHORTEST PATH RESOLUTION USING HADOOP. Sabeur Aridhi, Vincent Benjamin, Philippe Lacomme, Libo Ren. In proceedings of MOSIM 2014, 10ème Conférence Francophone de Modélisation, Optimisation et Simulation, Nancy, France.
  2. A novel MapReduce-based approach for distributed frequent subgraph mining. Sabeur Aridhi, Laurent d’Orazio, Monder Maddouri, Engelbert Mephu. In proceedings of Reconnaissance de Formes et Intelligence Artificielle (RFIA) 2014, France.

2013

Conference paper

  1. Computational phenotype prediction of ionizing-radiation-resistant bacteria with a multiple-instance learning model. Sabeur Aridhi, Haithem Sghaier, Mondher Maddouri, Engelbert Mephu Nguifo. In proceedings of BioKDD ’13 - Proceedings of the 12th International Workshop on Data Mining in Bioinformatics, Chicago, United States.

2012

Conference paper

  1. Feature extraction in protein sequences classification: a new stability measure. Saidi Rabie, Sabeur Aridhi, Engelbert Mephu Nguifo, Mondher Maddouri. In proceedings of ACM BCB 2012 - Conference on Bioinformatics, Computational Biology and Biomedicine, Orlando, United States.

2011

Research report

  1. Novel metrics for feature extraction stability in protein sequence classication. Rabie Saidi, Aridhi Saber, Maddouri Mondher, Mephu Nguifo Engelbert.
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