activity
20142024
most citedMuSA: Multivariate Sampling Algorithm for Wireless Sensor Networks

10 citations · 24 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IR20243 cited

Early Exit Strategies for Approximate k-NN Search in Dense Retrieval

Francesco Busolin, Claudio Lucchese, Franco Maria Nardini +3

Learned dense representations are a popular family of techniques for encoding queries and documents using high-dimensional embeddings, which enable retrieval by performing approxim…

cs.LG2021

Beyond Robustness: Resilience Verification of Tree-Based Classifiers

Stefano Calzavara, Lorenzo Cazzaro, Claudio Lucchese +2

In this paper we criticize the robustness measure traditionally employed to assess the performance of machine learning models deployed in adversarial settings. To mitigate the limi…

cs.LG20211 cited

EiFFFeL: Enforcing Fairness in Forests by Flipping Leaves

Seyum Assefa Abebe, Claudio Lucchese, Salvatore Orlando

Nowadays Machine Learning (ML) techniques are extensively adopted in many socially sensitive systems, thus requiring to carefully study the fairness of the decisions taken by such…

cs.SI201610 cited

Polarized User and Topic Tracking in Twitter

Mauro Coletto, Claudio Lucchese, Salvatore Orlando +1

Digital traces of conversations in micro-blogging platforms and OSNs provide information about user opinion with a high degree of resolution. These information sources can be explo…

cs.DC201410 cited

MuSA: Multivariate Sampling Algorithm for Wireless Sensor Networks

André L. L. Aquino, Orlando S. Junior, Alejandro C. Frery +2

A wireless sensor network can be used to collect and process environmental data, which is often of multivariate nature. This work proposes a multivariate sampling algorithm based o…