662 citations
- Institute for Complex SystemsIT13 papers
- University of FlorenceIT8 papers
- Boston UniversityUS6 papers
- KU LeuvenBE6 papers
- London Institute for Mathematical SciencesGB5 papers
- Sapienza University of RomeIT5 papers
- European Centre for Living TechnologyIT4 papers
- University of TrentoIT4 papers
- Yeshiva UniversityUS4 papers
- Ca' Foscari University of VeniceIT3 papers
- Centre National de la Recherche ScientifiqueFR3 papers
- Centro Ricerche Enrico FermiIT3 papers
6 papers · 1 filter
A Coalgebraic Model of Quantum Bisimulation
Lorenzo Ceragioli, Elena Di Lavore, Giuseppe Lomurno +1
Recent works have shown that defining a behavioural equivalence that matches the observational properties of a quantum-capable, concurrent, non-deterministic system is a surprising…
On the efficacy of old features for the detection of new bots
Rocco De Nicola, Marinella Petrocchi, Manuel Pratelli
For more than a decade now, academicians and online platform administrators have been studying solutions to the problem of bot detection. Bots are computer algorithms whose use is…
Mobile oscillators in a mobile multi-cluster network
Venceslas Nguefoue Meli, Thierry Njougouo, Steve J. Kongni +3
Different collective behaviors emerging from the unknown have been examined in networks of mobile agents in recent years. Mobile systems, far from being limited to modeling and stu…
Distributed equilibrium seeking in aggregative games: linear convergence under singular perturbations lens
Guido Carnevale, Filippo Fabiani, Filiberto Fele +2
We present a fully-distributed algorithm for Nash equilibrium seeking in aggregative games over networks. The proposed scheme endows each agent with a gradient-based scheme equippe…
Learning Quasi-LPV Models and Robust Control Invariant Sets with Reduced Conservativeness
Sampath Kumar Mulagaleti, Alberto Bemporad
We present an approach to identify a quasi Linear Parameter Varying (qLPV) model of a plant, with the qLPV model guaranteed to admit a robust control invariant (RCI) set. It builds…
To See or Not to See: A Privacy Threat Model for Digital Forensics in Crime Investigation
Mario Raciti, Simone Di Mauro, Dimitri Van Landuyt +1
Digital forensics is a cornerstone of modern crime investigations, yet it raises significant privacy concerns due to the collection, processing, and storage of digital evidence. De…