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Reza Farahbakhsh

Reza Farahbakhsh has 2 papers in our library, in 2020–2026, most of them on Sentiment & emotion, Bias, fairness & safety; often with Noel Crespi.

2 papers in our library · 2020–2026

OpenAlex · ORCID · h-index 27 · 149 works · 3,324 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 52 times in our library · ⭐ Paper Stars ranking: #5506

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Télécom SudParisÉvry-Courcouronnes · France2012–2026 · 110 paperscurrent🎓Institut Polytechnique de ParisPalaiseau · France2017–2026 · 66 paperscurrent🔬Services répartis, Architectures, MOdélisation, Validation, Administration des RéseauxÉvry-Courcouronnes · France2012–2026 · 46 paperscurrent🔬Centre National de la Recherche ScientifiqueParis · France2012–2024 · 51 papers🔬Institut Mines-TélécomPalaiseau · France2012–2022 · 48 papers🎓University of IsfahanIsfahan · Iran2008–2010 · 5 papers🏢TotalParis · France2022–2024 · 4 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 9The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksSafety Research · 1 workSocial Sciences · 1 workArts and Humanities · 1 workComputer Vision and Pattern Recognition · 1 workHealth Informatics · 1 workLanguage and Linguistics · 1 workMedicine · 1 work

🧭 Topics 2Research subjects and languages the work is about.Bias, fairness & safety · 1 workSentiment & emotion · 1 work

 Works by year

2020s

20261 paper20201 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Hate Speech Detection and Racial Bias Mitigation in Social Media based on BERT model (2020 · 305 citations)
    Hate speech classifiers trained on Twitter corpora can learn shortcuts. Some n-grams co-occur strongly with negative labels, and many of them are everyday vocabulary in African-American English (AAE). The authors build on their earlier BERT transfer-learning classifier for hateful and offensive content and test it on…
  2. Region-Grounded Report Generation for 3D Medical Imaging: A Fine-Grained Dataset and Graph-Enhanced Framework (2026)
    Automatic report writing for volumetric PET/CT scans is hard because the data are large and three-dimensional, annotated corpora are scarce (especially outside English and Chinese), and most systems translate a whole scan directly into text.

 Co-authors here

1 co-author with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 52 times (of the 149,439 papers whose bibliographies we read); 11 citing papers with a page here →.

Updated

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