Mirco Tracolli

According to our database, Mirco Tracolli authored at least 8 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Prototyping a ROOT-based distributed analysis workflow for HL-LHC: The CMS use case.

Tommaso Tedeschi, Vincenzo Eduardo Padulano, Daniele Spiga, Diego Ciangottini, Mirco Tracolli, Enric Tejedor Saavedra, Enrico Guiraud, Massimo Biasotto

Comput. Phys. Commun., 2024

2023

Smart Caching in a Data Lake for High Energy Physics Analysis.

Tommaso Tedeschi, Marco Baioletti, Diego Ciangottini, Valentina Poggioni, Daniele Spiga, Loriano Storchi, Mirco Tracolli

J. Grid Comput., September, 2023

Scattering with Programmable Matter.

Alfredo Navarra, Giuseppe Prencipe, Samuele Bonini, Mirco Tracolli

Proceedings of the Advanced Information Networking and Applications, 2023

2020

Caching Suggestions Using Reinforcement Learning.

Mirco Tracolli, Marco Baioletti, Valentina Poggioni, Daniele Spiga

Proceedings of the Machine Learning, Optimization, and Data Science, 2020

Effective Big Data Caching through Reinforcement Learning.

Mirco Tracolli, Marco Baioletti, Valentina Poggioni, Daniele Spiga

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

An Intelligent Cache Management for Data Analysis at CMS.

Mirco Tracolli, Marco Baioletti, Diego Ciangottini, Valentina Poggioni, Daniele Spiga

Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020

2018

Evolutionary Algorithms with Neural Networks to optimize Big Data Cache.

Mirco Tracolli

Proceedings of the AI*IA Doctoral Consortium (DC) co-located with the 17th Conference of the Italian Association for Artificial Intelligence (AI*IA 2018), 2018

2017

Can Differential Evolution Be an Efficient Engine to Optimize Neural Networks?

Marco Baioletti, Gabriele Di Bari, Valentina Poggioni, Mirco Tracolli

Proceedings of the Machine Learning, Optimization, and Big Data, 2017