Daniele Bonacorsi

16 papers B 2Journal 13Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Developments on the "Machine Learning as a Service for High Energy Physics" Framework and Related Cloud Native Solution.
IEEE Trans. Cloud Comput.
Luca Giommi, Daniele Spiga, Mattia Paladino, Valentin Kuznetsov, Daniele Bonacorsi
2025 J jnl
Strategic White Paper on AI Infrastructure for Particle, Nuclear, and Astroparticle Physics: Insights from JENA and EuCAIF.
CoRR
Sascha Caron, Andreas Ipp, Gert Aarts, Gábor Bíró, Daniele Bonacorsi, Elena Cuoco, Caterina Doglioni, Tommaso Dorigo, Julián García Pardiñas, Stefano Giagu, Tobias Golling, Lukas Heinrich, Ik Siong Heng, Paula Gina Isar, Karolos Potamianos, Liliana Teodorescu, John Veitch, Pietro Vischia, Christoph Weniger
2024 J jnl
Results and Perspectives from the First Two Years of Neutrino Physics at the LHC by the SND@LHC Experiment.
Symmetry
Duccio Abbaneo, Shakeel Ahmad, Raffaele Albanese, Andrey Alexandrov, Fabio Alicante, Konstantin Androsov, Anna Anokhina, Takashi Asada, Chayanit Asawatangtrakuldee, Marco A. Ayala Torres, Carlo Battilana, Aurelio Bay, Alcide Bertocco, Christopher Betancourt, Daniel Bick, Riddhi Biswas, Alberto Blanco Castro, Vincenzo Boccia, Mariyan Bogomilov, Daniele Bonacorsi, Walter M. Bonivento, Paula Bordalo, Alexey Boyarsky, Salvatore Buontempo, Mario Campanelli, TizianoCamporesi, Vincenzo Canale, Andrea Castro, Daniele Centanni, Francesco Cerutti, Mikhail Chernyavskiy, Ki Young Choi, Serhii Cholak, Federico Cindolo, Matei Climescu, Andrew Conaboy, Gaetano Marco Dallavalle, Daniele Davino, Paul de Bryas, Giovanni De Lellis, Massimiliano de Magistris, Albert De Roeck, Alvaro De Rújula, Marilisa De Serio, Dario De Simone, Antonia Di Crescenzo, Donato Di Ferdinando, Roberto Donà, Onur Durhan, Fabrizio Fabbri, Filips Fedotovs, Martina Ferrillo, Massimiliano Ferro-Luzzi, Rosa Anna Fini, Antimo Fiorillo, Raffaele Fresa, Wolfgang Funk, Francisca M. Garay Walls, Artem Golovatiuk, Andrey Golutvin, Elena Graverini, Ali M. Guler, Vasilisa Guliaeva, Guido J. Haefeli, Caren Hagner, Juan C. Helo Herrera, Eric van Herwijnen, Paolo Iengo, Simona Ilieva, Angelo Infantino, Antonio Iuliano, Richard Jacobsson, Cagin Kamiscioglu, Anni M. Kauniskangas, Emil Khalikov, Sung Hyun Kim, Yeong Gyun Kim, Guennadii Klioutchnikov, Masahiro Komatsu, Nina Konovalova, Sergey Kuleshov, Lukasz Krzempek, Heiko M. Lacker, Oliver Lantwin, Federico Lasagni Manghi, Adele Lauria, Kang Young Lee, Kyong Sei Lee, Sergio Lo Meo, Vincenzo Paolo Loschiavo, Stefano Marcellini, Annarita Margiotta, Anna Mascellani, Filippo Mei, Andrea Miano, A. Mikulenko, Maria Cristina Montesi, Francesco Luigi Navarria, Waraporn Nuntiyakul, Satoru Ogawa, Natalia Okateva, Maksym Ovchynnikov, Giulia Paggi, Byungdo Park, Alessandra Pastore, Andrea Perrotta, Dmitriy Podgrudkov, Natalia Polukhina, Andrea Prota, Antonio Quercia, Sérgio Ramos, Anupama Reghunath, Tatiana Roganova, Federico Ronchetti, Tiziano Rovelli, Oleg Ruchayskiy, Thomas Ruf, Marta Sabate Gilarte, Zhakypbek Sadykov, Mikhail Samoilov, Valentino Scalera, Walter Schmidt-Parzefall, Olivier Schneider, Givi Sekhniaidze, Nicola Serra, Mikhail Shaposhnikov, Vladimir Shevchenko, Tatiana Shchedrina, Lesya Shchutska, Hiroshi Shibuya, Saverio Simone, Gian P. Siroli, Gabriele Sirri, Guilherme Soares, Jong Yoon Sohn, Orlando J. Soto Sandoval, Maurizio Spurio, Nikolai Starkov, Jan Steggemann, Inar Timiryasov, Valeri Tioukov, Francesco Tramontano, Carina Trippl, Eduard Ursov, Andrey Ustyuzhanin, Galina Vankova-Kirilova, Gerardo Vasquez, Vassil Verguilov, Nuno Viegas Guerreiro Leonardo, Cristovao Vilela, Ciro Visone, Rainer Wanke, Eda Yaman, Zhibin Yang, Ceren Yazici, Chun Sil Yoon, Ettore Zaffaroni, Jilberto Zamora-Saá
2022 B conf
Explainable Log Parsing and Online Interval Granular Classification from Streams of Words.
FUZZ-IEEE
Leticia Decker, Daniel F. Leite, Daniele Bonacorsi
2022 J jnl
Improving Parametric Neural Networks for High-Energy Physics (and Beyond).
CoRR
Luca Anzalone, Tommaso Diotalevi, Daniele Bonacorsi
2022 J jnl
Improving parametric neural networks for high-energy physics (and beyond).
Mach. Learn. Sci. Technol.
Luca Anzalone, Tommaso Diotalevi, Daniele Bonacorsi
2022 J jnl
Unsupervised Learning and Online Anomaly Detection: An On-Condition Log-Based Maintenance System.
Int. J. Embed. Real Time Commun. Syst.
Leticia Decker, Daniel F. Leite, Francesco Minarini, Simone Rossi Tisbeni, Daniele Bonacorsi
2021 J jnl
Collection and harmonization of system logs and prototypal Analytics services with the Elastic (ELK) suite at the INFN-CNAF computing centre.
CoRR
Tommaso Diotalevi, Antonio Falabella, Barbara Martelli, Diego Michelotto, Lucia Morganti, Daniele Bonacorsi, Luca Giommi, Simone Rossi Tisbeni
2021 J jnl
MLaaS4HEP: Machine Learning as a Service for HEP.
Comput. Softw. Big Sci.
Valentin Kuznetsov, Luca Giommi, Daniele Bonacorsi
2021 J jnl
Preparing Distributed Computing Operations for the HL-LHC Era With Operational Intelligence.
Frontiers Big Data
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, Domenico Giordano, David Hohn, Tomas Javurek, Stephane Jezequel, Valentin Kuznetsov, Mario Lassnig, Vasilis Mageirakos, Micol Olocco, Siarhei Padolski, Matteo Paltenghi, Lorenzo Rinaldi, Mayank Sharma, Simone Rossi Tisbeni, Nikodemas Tuckus
2020 — conf
Comparison of Evolving Granular Classifiers applied to Anomaly Detection for Predictive Maintenance in Computing Centers.
EAIS
Leticia Decker, Daniel F. Leite, Fabio Viola, Daniele Bonacorsi
2020 J jnl
Comparison of Evolving Granular Classifiers applied to Anomaly Detection for Predictive Maintenance in Computing Centers.
CoRR
Leticia Decker, Daniel F. Leite, Fabio Viola, Daniele Bonacorsi
2020 B conf
Real-Time Anomaly Detection in Data Centers for Log-based Predictive Maintenance using an Evolving Fuzzy-Rule-Based Approach.
FUZZ-IEEE
Leticia Decker, Daniel F. Leite, Luca Giommi, Daniele Bonacorsi
2020 J jnl
Real-Time Anomaly Detection in Data Centers for Log-based Predictive Maintenance using an Evolving Fuzzy-Rule-Based Approach.
CoRR
Leticia Decker, Daniel F. Leite, Luca Giommi, Daniele Bonacorsi
2018 J jnl
Machine learning at the energy and intensity frontiers of particle physics.
Nat.
Alexander Radovic, Mike Williams, David Rousseau, Michael Kagan, Daniele Bonacorsi, Alexander Himmel, Adam Aurisano, Kazuhiro Terao, Taritree Wongjirad
2010 J jnl
Distributed Analysis in CMS.
J. Grid Comput.
Alessandra Fanfani, M. Anzar Afaq, Jose Afonso Sanches, Julia Andreeva, Giuseppe Bagliesi, Lothar Bauerdick, Stefano Belforte, Patricia Bittencourt Sampaio, Kenneth Bloom, Barry Blumenfeld, Daniele Bonacorsi, Chris Brew, Marco Calloni, Daniele Cesini, Mattia Cinquilli, Giuseppe Codispoti, Jorgen D'Hondt, Liang Dong, Danilo N. Dongiovanni, Giacinto Donvito, David Dykstra, Erik Edelmann, Ricky Egeland, Peter Elmer, Giulio Eulisse, Dave Evans, Federica Fanzago, Fabio Farina, Derek Feichtinger, Ian Fisk, Josep Flix, Claudio Grandi, Yuyi Guo, Kalle Happonen, José M. Hernández, Chih-Hao Huang, Kejing Kang, Edward Karavakis, Matthias Kasemann, Carlos Kavka, Akram Khan, Bockjoo Kim, Jukka Klem, Jesper Koivumäki, Thomas Kress, Peter Kreuzer, Tibor Kurca, Valentin Kuznetsov, Stefano Lacaprara, Kati Lassila-Perini, James Letts, Tomas Lindén, Lee Lueking, Joris Maes, Nicolò Magini, Gerhild Maier, Patricia McBride, Simon Metson, Vincenzo Miccio, Sanjay Padhi, Haifeng Pi, Hassen Riahi, Daniel Riley, Paul Rossman, Pablo Saiz, Andrea Sartirana, Andrea Sciabà, Vijay Sekhri, Daniele Spiga, Lassi A. Tuura, Eric Vaandering, Lukas Vanelderen, Petra Van Mulders, Aresh Vedaee, Ilaria Villella, Eric Wicklund, Tony Wildish, Christoph Wissing, Frank Würthwein