From bb8120879f1b58c7ce9f9510ebe45eaf206394b8 Mon Sep 17 00:00:00 2001
From: karizeit <40801281+karizeit@users.noreply.github.com>
Date: Wed, 26 Mar 2025 00:10:24 +0100
Subject: [PATCH] Update README.md

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 README.md | 7 +++----
 1 file changed, 3 insertions(+), 4 deletions(-)

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@@ -295,16 +295,15 @@ This produces a new dataframe called output which is the result of crossmatching
 
 ## Publications
 
-1. M. BRAHEM, K. Zeitouni, and L. Yeh. ASTROIDE: A unified astronomical big data processing
-engine over spark. IEEE Transactions on Big Data, 2018 [(Link)](http://perso.prism.uvsq.fr/users/zeitouni/papers/TBD2018_Preprint.pdf)
+1. M. BRAHEM, K. Zeitouni, and L. Yeh (2020). ASTROIDE: A Unified Astronomical Big Data Processing Engine over Spark. IEEE Transactions on Big Data, 6(03), 477-491. [(Link)](https://doi.ieeecomputersociety.org/10.1109/TBDATA.2018.2873749)
 
 2. M. BRAHEM, K. Zeitouni, and L. Yeh. Efficient astronomical query processing using spark. In
 In 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information
-Systems, SIGSPATIAL ’18, New York, NY, USA, 2018. ACM [(Link)](http://perso.prism.uvsq.fr/users/zeitouni/papers/SIGSPATIAL2018_Preprint.pdf)
+Systems, SIGSPATIAL ’18, New York, NY, USA, 2018. ACM [(Link)](http://www.master-project-h2020.eu/wp-content/uploads/2018/10/SIGSPATIAL2018_Preprint_UVSQ.pdf)
 
 3. M. BRAHEM, K. Zeitouni, and L. Yeh. HX-MATCH: in-memory cross-matching algorithm
 for astronomical big data. In Advances in Spatial and Temporal Databases - 15th International
-Symposium, SSTD 2017, Arlington, VA, USA, August 21-23, 2017, Proceedings, 2017
+Symposium, SSTD 2017, Arlington, VA, USA, August 21-23, 2017, Proceedings 15 (pp. 411-415). Springer International Publishing.
 
 4. M. BRAHEM, K. Zeitouni, and L. Yeh. Astrospark: towards a distributed data server for big
 data in astronomy. In Proceedings of the 3rd ACM SIGSPATIAL PhD Symposium. ACM, 2016