An empirical comparison of parallel and distributed particle swarm optimization methods. - Leonardo Vanneschi; Daniele Codecasa; Giancarlo Mauri (GECCO, 2010)

A study of parallel and distributed particle swarm optimization methods. - Leonardo Vanneschi; Daniele Codecasa; Giancarlo Mauri (BADS@ICAC, 2010)

A Comparative Study of Four Parallel and Distributed PSO Methods. - Leonardo Vanneschi; Daniele Codecasa; Giancarlo Mauri (New Gener. Comput., 2011)

An Empirical Study of Parallel and Distributed Particle Swarm Optimization. - Leonardo Vanneschi; Daniele Codecasa; Giancarlo Mauri (Parallel Architectures and Bioinspired Algorithms, 2012)

A Classification Based Scoring Function for Continuous Time Bayesian Network Classifiers. - Daniele Codecasa; Fabio Stella (NFMCP, 2013)

CTBNCToolkit: Continuous Time Bayesian Network Classifier Toolkit. - Daniele Codecasa; Fabio Stella (CoRR, 2014)

Learning continuous time Bayesian network classifiers. - Daniele Codecasa; Fabio Stella (Int. J. Approx. Reason., 2014)

Classification and clustering with continuous time Bayesian network models. - Daniele Codecasa; Fabio Stella (J. Intell. Inf. Syst., 2015)

How is Google Using AI for Internal Code Migrations? - Stoyan Nikolov; Daniele Codecasa; Anna Sjövall; Maxim Tabachnyk; Satish Chandra 001; Siddharth Taneja; Celal Ziftci (SEIP@ICSE, 2025)

Migrating Code At Scale With LLMs At Google. - Celal Ziftci; Stoyan Nikolov; Anna Sjövall; Bo Kim; Daniele Codecasa; Max Kim (SIGSOFT FSE Companion, 2025)