activity
20212023
most citedNatural Language Processing for Systems Engineering: Automatic Generation of Systems Modelling Language Diagrams

45 citations · 124 across the 6 of their papers we have counts for

collaborators

6 papers

stat.ME2023★ 2 cited

Bayesian system identification for structures considering spatial and temporal correlation

Ioannis Koune, Arpad Rozsas, Arthur Slobbe +1

The decreasing cost and improved sensor and monitoring system technology (e.g. fiber optics and strain gauges) have led to more measurements in close proximity to each other. When…

eess.SP2023★ 11 cited

A switching Gaussian process latent force model for the identification of mechanical systems with a discontinuous nonlinearity

Luca Marino, Alice Cicirello

An approach for the identification of discontinuous and nonsmooth nonlinear forces, as those generated by frictional contacts, in mechanical systems that can be approximated by a s…

cs.CL2022★ 45 cited

Natural Language Processing for Systems Engineering: Automatic Generation of Systems Modelling Language Diagrams

Shaohong Zhong, Andrea Scarinci, Alice Cicirello

The design of complex engineering systems is an often long and articulated process that highly relies on engineers' expertise and professional judgment. As such, the typical pitfal…

stat.AP2022★ 34 cited

Virtual sensing of subsoil strain response in monopile-based offshore wind turbines via Gaussian process latent force models

Joanna Zou, Eliz-Mari Lourens, Alice Cicirello

Virtual sensing techniques have gained traction in applications to the structural health monitoring of monopile-based offshore wind turbines, as the strain response below the mudli…

stat.CO2022★ 12 cited

Cyclical Variational Bayes Monte Carlo for Efficient Multi-Modal Posterior Distributions Evaluation

Felipe Igea, Alice Cicirello

Multimodal distributions of some physics based model parameters are often encountered in engineering due to different situations such as a change in some environmental conditions,…

eess.SP2021★ 20 cited

Machine Learning based optimization for interval uncertainty propagation

Alice Cicirello, Filippo Giunta

Two non-intrusive uncertainty propagation approaches are proposed for the performance analysis of engineering systems described by expensive-to-evaluate deterministic computer mode…