Rabih AMHAZ

Rabih Amhaz Publications

Explainable and Trustworthy AI (since 2019)

  • [2024] Rabih Amhaz, Cédric Bobenrieth, Marlene Marz “Impact of Decentralized Autonomous Organizations (DAO) on society 5.0”, NET2024, Dubai, UAE DOI: 10.5121/csit.2024140301 
  • [2023] Amani Abou Rida, Rabih Amhaz, Pierre Parrend, “Metrics for Evaluating Interface Explainability Models for Cyberattack Detection in IoT Data”, CCE23, DOI: 10.1007/978-3-031-44355-8_13
  • [2023] Rauf Fatali, Samer Elzant, Rabih Amhaz, “A Comparative Study of YOLO V4 and V5 Architectures on Pavement Cracks Using Region-Based Detection”, CCE23, DOI: 10.1007/978-3-031-44355-8_4 
  • [2023] Amani Abou Rida, Rabih Amhaz, Pierre Parrend, “A Benchmark for Explainability of Machine Learning for Cyberattacks Detection”, RESSI Rendez-vous de la recherche et de l’enseignement de la sécurité des Systèmes d’Information, GDR Sécurité Informatique 2023. 
  • [2022] Amani Abou Rida, Rabih Amhaz, Pierre Parrend, “Anomaly Detection on Static and Dynamic Graphs using Graph Convolutional Neural Networks”, Robotics and AI for Cybersecurity and Critical Infrastructure in Smart Cities, Chapter. -, page 23, Springer, Studies in Computational Intelligence Series, 2022. DOI:10.1007/978-3-030-96737-6_12 
  • [2022] Amani Abou Rida, Rabih Amhaz, Pierre Parrend, “Evaluation of Anomaly Detection for Cybersecurity Using Inductive Node Embedding with Convolutional Graph Neural Networks”, Complex Network 2021, Madrid, Spain, January 2022. DOI:10.1007/978-3-030-93413-2_47 Impact Factor (IF 1.492)
  • [2020] Ulviya Abdulkarimova, Igor Santos Peretta, Anna Leonteva, Younes Monjid, Rabih Amhaz, Marc Haegelin, Pierre Collet, Christian Rolando, A GA for non-uniform sampling harmonic analysis, GECCO ’20: Genetic and Evolutionary Computation Conference, July 2020. DOI:10.1145/3377929.3390008 ACM Association for computing machinery (Classement FNEGE 3)

Before 2016:

  • [2016] Longchao Yang, Vincent Baltazart, Rabih Amhaz, Peilin Jiang, Automatic A new A-star algorithm adapted to the semi-automatic detection of cracks within grey level pavement images, Eighth International Conference on Digital Image Processing, August 2016. DOI:10.1117/12.2243982 
  • [2016] Vincent Baltazart, J.-M. Moliard, Rabih Amhaz, M. Jethwa, Automatic Crack Detection on Pavement Images for Monitoring Road Surface Conditions—Some Results from the Collaborative FP7 TRIMM Project, RILEM Bookseries, January 2016. DOI : 10.1007/978-94-024-0867-6_100 
  • [2015] Rabih Amhaz, Sylvie Chambon, Jérôme Idier, Vincent Baltazart, A new minimal path selection algorithm for automatic crack detection on pavement images, January 2015. DOI: 10.1109/ICIP.2014.7025158 Conference Rank B, Journal Impact Factor 20.97
  • [2015] Rabih Amhaz, Sylvie Chambon, Jérôme Idier, Vincent Baltazart, Automatic crack detection on 2D pavement images : An algorithm based on minimal path selection, IEEE Transactions on Intelligent Transportation Systems, Paris, January 2015. DOI:10.1109/TITS.2015.2477675 Journal Impact Factor 9.5
  • [2013] Rabih Amhaz, Sylvie Chambon, Jérôme Idier, Vincent Baltazart, Une méthode de relevé automatique de fissures de chaussée fondée sur la recherche de chemins minimaux, november 2013. HAL : https://hal.science/hal-01202525 
  • [2013] Rabih Amhaz, Sylvie Chambon, Jérôme Idier, Vincent Baltazart, Automatic Road Crack Detection by Selection of Minimal Paths, september 2013. HAL : https://hal.science/hal-01197285