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ORCIDWajdi Dhifli
Person information
- affiliation: University of Quebec at Montreal, Canada
- affiliation: Blaise Pascal University, Clermont-Ferrand, France
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2020 – today
- 2026
[j20]Nour El Islem Karabadji
, Ali Assi, Abdelaziz Amara Korba, Ahmed Abdulaziz Al Nuaim, Hassina Seridi, Mohamed Elati, Wajdi Dhifli:
Towards better random forests with tree weighting, accuracy and diversity-preserving pruning. Expert Syst. Appl. 309: 131256 (2026)- [j19]Naouel Manaa, Nour El Islem Karabadji, Hassina Seridi, Mohamed Said Mehdi Mendjel, Wajdi Dhifli:
Improved VAE-GAN via mixture of Gaussians applied to brain tumor MRI classification. Knowl. Based Syst. 346: 116198 (2026) - 2025
- [j18]Nour El Islem Karabadji, Abdelaziz Amara Korba, Ali Assi, Hassina Seridi, Mohamed Aimen Karabadji, Yacine Ghamri-Doudane, Abdelghani Lakhdari, Mohamed Elati, Wajdi Dhifli:
A genetic and graph-guided feature learning strategy for improving decision tree construction. Clust. Comput. 28(7): 478 (2025) - [c10]Ali Assi, Nour El Islem Karabadji, Mohamed Elati, Wajdi Dhifli:
Learning Global-Local Multi-Scale Node Embeddings with Random Walks and Landmark-Guided Optimization. CIKM 2025: 77-86 - 2024
- [c9]Ines Hadjadji, Nour El Islem Karabadji, Hassina Seridi, Naouel Manaa, Wajdi Dhifli:
Optimisation par PSO avec utilisation du dominating vertex set pour le paramétrage des couches cachées d'un MLP. EGC 2024: 349-350 - [c8]Ines Hadjadji, Nour El Islem Karabadji, Hassina Seridi, Naouel Manaa, Mohamed Elati, Wajdi Dhifli:
Optimizing MLP Network Structure for Classification Problems Using PSO and Dominating Vertex Set. ICDM (Workshops) 2024: 529-534 - 2023
- [j17]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: 120138 (2023) - 2022
- [j16]Komi Midzodzi Pekpe, Djamel Zitouni, Gilles Gasso, Wajdi Dhifli, Benjamin C. Guinhouya:
From SIR to SEAIRD: A novel data-driven modeling approach based on the Grey-box System Theory to predict the dynamics of COVID-19. Appl. Intell. 52(1): 71-80 (2022) - 2021
- [j15]ChemsEddine Berbague, Nour El Islem Karabadji, Hassina Seridi, Panagiotis Symeonidis, Yannis Manolopoulos, Wajdi Dhifli:
An overlapping clustering approach for precision, diversity and novelty-aware recommendations. Expert Syst. Appl. 177: 114917 (2021) - [j14]Ali Assi, Wajdi Dhifli:
Instance Matching in Knowledge Graphs through random walks and semantics. Future Gener. Comput. Syst. 123: 73-84 (2021) - [i6]Komi Midzodzi Pékpé, Djamel Zitouni, Gilles Gasso, Wajdi Dhifli, Benjamin C. Guinhouya:
From SIR to SEAIRD: a novel data-driven modeling approach based on the Grey-box System Theory to predict the dynamics of COVID-19. CoRR abs/2106.11918 (2021) - 2020
- [j13]Ali Assi, Hamid Mcheick, Wajdi Dhifli:
Data linking over RDF knowledge graphs: A survey. Concurr. Comput. Pract. Exp. 32(19) (2020) - [j12]Wajdi Dhifli, Nour El Islem Karabadji, Mohamed Elati:
Evolutionary mining of skyline clusters of attributed graph data. Inf. Sci. 509: 501-514 (2020) - [c7]Ali Assi, Mohamed Elati, Wajdi Dhifli:
Instance Matching in Knowledge Graphs Through Dynamic, Distributed and Affinity-Preserving Random Walk. IEEE BigData 2020: 892-897
2010 – 2019
- 2019
- [j11]Wajdi Dhifli, Júlia Puig, Aurélien Dispot, Mohamed Elati:
Latent network-based representations for large-scale gene expression data analysis. BMC Bioinform. 19-S(13): 81-90 (2019) - [j10]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: 84-96 (2019) - [j9]Abdoulaye Baniré Diallo, Engelbert Mephu Nguifo, Wajdi Dhifli, Elham Azizi, Sandhya Prabhakaran, Wesley Tansey:
Selected Papers from the Workshop on Computational Biology: Joint with the International Joint Conference on Artificial Intelligence and the International Conference on Machine Learning, 2018. J. Comput. Biol. 26(6): 507-508 (2019) - [j8]Rabie Saidi, Wajdi Dhifli, Mondher Maddouri, Engelbert Mephu Nguifo:
Efficiently Mining Recurrent Substructures from Protein Three-Dimensional Structure Graphs. J. Comput. Biol. 26(6): 561-571 (2019) - [j7]Ali Assi, Hamid Mcheick, Ahmad Karawash, Wajdi Dhifli:
Context-aware instance matching through graph embedding in lexical semantic space. Knowl. Based Syst. 186 (2019) - [j6]Tanay Kumar Saha, Ataur Katebi, Wajdi Dhifli, Mohammad Al Hasan:
Discovery of Functional Motifs from the Interface Region of Oligomeric Proteins Using Frequent Subgraph Mining. IEEE ACM Trans. Comput. Biol. Bioinform. 16(5): 1537-1549 (2019) - [c6]Ali Assi, Hamid Mcheick, Wajdi Dhifli:
BIGMAT: A Distributed Affinity-Preserving Random Walk Strategy for Instance Matching on Knowledge Graphs. IEEE BigData 2019: 1028-1033 - [c5]Ali Assi, Hamid Mcheick, Wajdi Dhifli:
Context-Aware Instance Matching Through Graph Embedding in Lexical Semantic Space. IEA/AIE 2019: 422-433 - 2018
- [j5]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: 153-165 (2018) - 2017
- [j4]Wajdi Dhifli, Sabeur Aridhi, Engelbert Mephu Nguifo:
MR-SimLab: Scalable subgraph selection with label similarity for big data. Inf. Syst. 69: 155-163 (2017) - [j3]Nour El Islem Karabadji, Hassina Seridi, Fouad Bousetouane, Wajdi Dhifli, Sabeur Aridhi:
An evolutionary scheme for decision tree construction. Knowl. Based Syst. 119: 166-177 (2017) - [c4]Wajdi Dhifli, Noemie Oliveira Da Costa, Mohamed Elati:
An evolutionary schema for mining skyline clusters of attributed graph data. CEC 2017: 2102-2109 - [e1]Wajdi Dhifli, Abdoulaye Baniré Diallo, Engelbert Mephu Nguifo, Mohammed Javeed Zaki:
Proceedings of the Workshop on Advances in Bioinformatics and Artificial Intelligence: Bridging the Gap co-located with 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), Melbourne, Australia, August 20, 2017. CEUR Workshop Proceedings 1942, CEUR-WS.org 2017 [contents] - 2016
- [j2]Wajdi Dhifli, Abdoulaye Baniré Diallo:
ProtNN: fast and accurate protein 3D-structure classification in structural and topological space. BioData Min. 9: 30 (2016) - [c3]Wajdi Dhifli, Abdoulaye Baniré Diallo:
Face Recognition in the Wild. KES 2016: 1571-1580 - [i5]Wajdi Dhifli, Abdoulaye Baniré Diallo:
PGR: A Graph Repository of Protein 3D-Structures. CoRR abs/1604.00045 (2016) - 2015
- [i4]Wajdi Dhifli, Abdoulaye Baniré Diallo:
Galaxy-X: A Novel Approach for Multi-class Classification in an Open Universe. CoRR abs/1511.00725 (2015) - [i3]Wajdi Dhifli, Abdoulaye Baniré Diallo:
ProtNN: Fast and Accurate Nearest Neighbor Protein Function Prediction based on Graph Embedding in Structural and Topological Space. CoRR abs/1511.00736 (2015) - 2014
- [j1]Wajdi Dhifli, Rabie Saidi, Engelbert Mephu Nguifo:
Smoothing 3D Protein Structure Motifs Through Graph Mining and Amino Acid Similarities. J. Comput. Biol. 21(2): 162-172 (2014) - 2013
- [b1]Wajdi Dhifli:
Topological and Domain Knowledge-based Subgraph Mining: Application on Protein 3D-Structures. (Fouille de Sous-graphes Basée sur la Topologie et la Connaissance du Domaine: Application sur les Structures 3D de Protéines). Blaise Pascal University, Clermont-Ferrand, France, 2013 - [i2]Wajdi Dhifli, Rabie Saidi, Engelbert Mephu Nguifo:
Mining Representative Unsubstituted Graph Patterns Using Prior Similarity Matrix. CoRR abs/1303.2054 (2013) - [i1]Wajdi Dhifli, Mohamed Moussaoui, Rabie Saidi, Engelbert Mephu Nguifo:
Towards an Efficient Discovery of the Topological Representative Subgraphs. CoRR abs/1307.7411 (2013) - 2012
- [c2]Wajdi Dhifli, Rabie Saidi, Engelbert Mephu Nguifo:
A novel approach for mining representative spatial motifs of proteins. BCB 2012: 506-508 - 2010
- [c1]Wajdi Dhifli, Rabie Saidi:
Protein graph repository. EGC 2010: 641-642
Coauthor Index
aka: Hassina Seridi
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