Big data analytics and the LHC. - Maria Girone (Conf. Computing Frontiers, 2016)

CMS Analysis and Data Reduction with Apache Spark. - Oliver Gutsche; Luca Canali; Illia Cremer; Matteo Cremonesi; Peter Elmer; Ian Fisk; Maria Girone; Bo Jayatilaka; Jim Kowalkowski; Viktor Khristenko; Evangelos Motesnitsalis; Jim Pivarski; et al. (CoRR, 2017)

HEPCloud, a New Paradigm for HEP Facilities: CMS Amazon Web Services Investigation. - Burt Holzman; Lothar Bauerdick; Brian Bockelman; Dave Dykstra; Ian Fisk; Stuart Fuess; Gabriele Garzoglio; Maria Girone; Oliver Gutsche; Dirk Hufnagel; Hyunwoo Kim; Robert Kennedy; et al. (Comput. Softw. Big Sci., 2017)

Understanding the Performance of a Prototype of a WLCG Data Lake for HL-LHC. - Jaroslava Schovancová; Simone Campana; Xavier Espinal Curull; Maria Girone; Ivan Kadochnikov; Gavin John McCance (eScience, 2018)

Machine Learning in High Energy Physics Community White Paper. - Kim Albertsson; Piero Altoe; Dustin Anderson; Michael Andrews; Juan Pedro Araque Espinosa; Adam Aurisano; Laurent Basara; Adrian Bevan; Wahid Bhimji; Daniele Bonacorsi; Paolo Calafiura; Mario Campanelli; et al. (CoRR, 2018)

Using Big Data Technologies for HEP Analysis. - Matteo Cremonesi; Claudio Bellini; Bianny Bian; Luca Canali; Vasileios Dimakopoulos; Peter Elmer; Ian Fisk; Maria Girone; Oliver Gutsche; Siew-Yan Hoh; Bo Jayatilaka; Viktor Khristenko; et al. (CoRR, 2019)

Computing Challenges for High Energy Physics. - Maria Girone (HPDC, 2021)

HEPiX Benchmarking Solution for WLCG Computing Resources. - Domenico Giordano; Manfred Alef; Luca Atzori; Jean-Michel Barbet; Olga Datskova; Maria Girone; Christopher Hollowell; Martina Javurkova; Riccardo Maganza; Miguel Fontes Medeiros; Michele Michelotto; Lorenzo Rinaldi; et al. (Comput. Softw. Big Sci., 2021)

Machine Learning for Particle Flow Reconstruction at CMS. - Joosep Pata; Javier M. Duarte; Farouk Mokhtar; Eric Wulff; Jieun Yoo; Jean-Roch Vlimant; Maurizio Pierini; Maria Girone (CoRR, 2022)

Hyperparameter optimization of data-driven AI models on HPC systems. - Eric Wulff; Maria Girone; Joosep Pata (CoRR, 2022)

Hyperparameter optimization, quantum-assisted model performance prediction, and benchmarking of AI-based High Energy Physics workloads using HPC. - Eric Wulff; Maria Girone; David Southwick; Juan Pablo García Amboage; Eduard Cuba (CoRR, 2023)

Scalable neural network models and terascale datasets for particle-flow reconstruction. - Joosep Pata; Eric Wulff; Farouk Mokhtar; David Southwick; Mengke Zhang; Maria Girone; Javier M. Duarte (CoRR, 2023)

Model Performance Prediction for Hyperparameter Optimization of Deep Learning Models Using High Performance Computing and Quantum Annealing. - Juan Pablo García Amboage; Eric Wulff; Maria Girone; Tomás F. Pena (CoRR, 2023)

Distributed hybrid quantum-classical performance prediction for hyperparameter optimization. - Eric Wulff; Juan Pablo García Amboage; Marcel Aach; Thorsteinn Eli Gislason; Thorsteinn Kristinn Ingolfsson; Tomas Kristinn Ingolfsson; Edoardo Pasetto; Amer Delilbasic; Morris Riedel; Rakesh Sarma; Maria Girone; Andreas Lintermann (Quantum Mach. Intell., 2024)

Energy Efficiency trends in HPC: what high-energy and astrophysicists need to know. - Estela Suarez; Jorge Amaya; Martin Frank; Oliver Freyermuth; Maria Girone; Bartosz Kostrzewa; Susanne Pfalzner (CoRR, 2025)