Exploiting Adaptive Ladder Queue into Repast Simulation platform. - Angelo Furfaro; Ludovica Sacco (DS-RT, 2018)

Adaptive Ladder Queue: Achieving O(1) Amortized Access Time in Practice. - Angelo Furfaro; Ludovica Sacco (SIGSIM-PADS, 2018)

A neural network strategy for supervised classification via the Learning Under Privileged Information paradigm. - Ludovica Sacco; Dino Ienco; Roberto Interdonato (SEBD, 2021)

Evaluating Deep Packet Inspection in Large-scale Data Processing. - Fabrizio Angiulli; Angelo Furfaro; Domenico Saccà; Ludovica Sacco (FiCloud, 2022)

A Graph Data Model-based Micro-Provenance Approach for Multi-level Provenance Exploration in End-to-End Climate Workflows. - Sandro Fiore; Mattia Rampazzo; Donatello Elia; Ludovica Sacco; Fabrizio Antonio; Paola Nassisi (IEEE Big Data, 2023)

Enabling Provenance Tracking in Workflow Management Systems. - Ludovica Sacco; Carolina Sopranzetti; Sandro Fiore (IEEE Big Data, 2024)

A software ecosystem for multi-level provenance management in large-scale scientific workflows for AI applications. - Gabriele Padovani; Valentine Anantharaj; Ludovica Sacco; Takuya Kurihana; M. Bunino; K. Tsolaki; M. Girone; F. Antonio; Carolina Sopranzetti; M. Fronza; Sandro Fiore (SC Workshops, 2024)

Towards Provenance-Aware Earth Observation Workflows: the openEO Case Study. - H. Omidi; Ludovica Sacco; V. Hutter; G. Irsiegler; M. Claus; M. Schobben; A. Jacob; M. Schramm; Sandro Fiore (CoRR, 2025)