50 citations · 83 across the 5 of their papers we have counts for
6 papers
A pipeline and comparative study of 12 machine learning models for text classification
Annalisa Occhipinti, Louis Rogers, Claudio Angione
Text-based communication is highly favoured as a communication method, especially in business environments. As a result, it is often abused by sending malicious messages, e.g., spa…
Using Machine Learning to Emulate Agent-Based Simulations
Claudio Angione, Eric Silverman, Elisabeth Yaneske
In this proof-of-concept work, we evaluate the performance of multiple machine-learning methods as statistical emulators for use in the analysis of agent-based models (ABMs). Analy…
Situating Agent-Based Modelling in Population Health Research
Eric Silverman, Umberto Gostoli, Stefano Picascia +4
Today's most troublesome population health challenges are often driven by social and environmental determinants, which are difficult to model using traditional epidemiological meth…
Seeing the wood for the trees: a forest of methods for optimisation and omic-network integration in metabolic modelling
Supreeta Vijayakumar, Max Conway, Pietro Lió +1
Metabolic modelling has entered a mature phase with dozens of methods and software implementations available to the practitioner and the theoretician. It is not easy for a modeller…
Integrating splice-isoform expression into genome-scale models characterizes breast cancer metabolism
Claudio Angione
Motivation: Despite being often perceived as the main contributors to cell fate and physiology, genes alone cannot predict cellular phenotype. During the process of gene expression…
Bose-Einstein Condensation in Satisfiability Problems
Claudio Angione, Annalisa Occhipinti, Giovanni Stracquadanio +1
This paper is concerned with the complex behavior arising in satisfiability problems. We present a new statistical physics-based characterization of the satisfiability problem. Spe…