Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page
Demo Data from VLDB 2026 / reviewers in the wild / expert

Rachelle Abdel Massih

dblp:378/1850 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Generative modeling · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational science and engineering · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Generative modeling
generative adversarial network		 0.812024
Generative Adversarial Network Applications in Industry 4.0: A Review · Int. J. Comput. Vis. 2024
Computational science and engineering › manufacturing automation › manufacturing
industry 4.0		 0.212024
Generative Adversarial Network Applications in Industry 4.0: A Review · Int. J. Comput. Vis. 2024
YearPublicationVenuePosition
2024 Generative Adversarial Network Applications in Industry 4.0: A Review
Chafic Abou Akar, Rachelle Abdel Massih, Anthony Yaghi, Joe Khalil, Marc Kamradt, Abdallah Makhoul
 Int. J. Comput. Vis.2