Preparing Distributed Computing Operations for the HL-LHC Era With Operational Intelligence. - Alessandro Di Girolamo; Federica Legger; Panos Paparrigopoulos; Jaroslava Schovancová; Thomas Beermann; Michael Boehler; Daniele Bonacorsi; Luca Clissa; Leticia Decker de Sousa; Tommaso Diotalevi; Luca Giommi; Maria Grigorieva; et al. (Frontiers Big Data, 2021)

Efficient GPU-accelerated Join Optimization for Complex Queries. - Vasilis Mageirakos; Riccardo Mancini; Srinivas Karthik; Bikash Chandra; Anastasia Ailamaki (ICDE, 2022)

Efficient Massively Parallel Join Optimization for Large Queries. - Riccardo Mancini; Srinivas Karthik; Bikash Chandra; Vasilis Mageirakos; Anastasia Ailamaki (SIGMOD Conference, 2022)

Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning. - Patrik Okanovic; Roger Waleffe; Vasilis Mageirakos; Konstantinos E. Nikolakakis; Amin Karbasi; Dionysios S. Kalogerias; Nezihe Merve Gürel; Theodoros Rekatsinas (ICLR, 2024)

Cracking Vector Search Indexes. - Vasilis Mageirakos; Bowen Wu 003; Gustavo Alonso (Proc. VLDB Endow., 2025)