Wiem Abbes

Orcid: 0000-0001-6414-7931

According to our database1, Wiem Abbes authored at least 11 papers between 2016 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Intelligent Production Scheduling under Constraints Using LLMs for Industry 5.0.
Proceedings of the 15th International Conference on Operations Research and Enterprise Systems, 2026

2025
A new case based reasoning diagnosis approach within a possibilistic framework.
Int. J. Mach. Learn. Cybern., June, 2025

Smart Optimized Scheduling Under Constraints in Industry 5.0 Through Intelligent Computational Methods.
Proceedings of the 22nd International Conference on Informatics in Control, 2025

2024
Defect-Net: a new CNN model for steel surface defect classification.
Proceedings of the 12th IEEE International Symposium on Signal, 2024

Melanoma Detection Using CBR Approach Within a Possibilistic Framework.
Proceedings of the Computational Collective Intelligence - 16th International Conference, 2024

2022
Ontology based approach using a systemic knowledge model for surface defect classification.
Proceedings of the Fifteenth International Conference on Machine Vision, 2022

2021
Fuzzy decision ontology for melanoma diagnosis using KNN classifier.
Multim. Tools Appl., 2021

Deep Neural Networks for Melanoma Detection from Optical Standard Images using Transfer Learning.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

2019
Deep Neural Network for Fuzzy Automatic Melanoma Diagnosis.
Proceedings of the 14th International Joint Conference on Computer Vision, 2019

2017
Automatic Skin Lesions Classification Using Ontology-Based Semantic Analysis of Optical Standard Images.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 21st International Conference KES-2017, 2017

2016
High-level features for automatic skin lesions neural network based classification.
Proceedings of the International Image Processing, Applications and Systems, 2016


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