Claudio Angione

According to our database, Claudio Angione authored at least 41 papers between 2012 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Meta-Learning for Speeding Up Large Model Inference in Decentralized Environments.

Yipeng Du, Zihao Wang, Ahmad Farhan, Claudio Angione, Harry Yang, Fielding Johnston, James P. Buban, Patrick Colangelo, Yue Zhao, Yuzhe Yang

CoRR, August, 2025

Encrypted Large Model Inference: The Equivariant Encryption Paradigm.

James P. Buban, Hongyang Zhang, Claudio Angione, Harry Yang, Ahmad Farhan, Seyfal Sultanov, Michael Du, Xuran Ma, Zihao Wang, Yue Zhao, Arria Owlia, Fielding Johnston, Patrick Colangelo

CoRR, February, 2025

Enhancing deep learning for demand forecasting to address large data gaps.

Chirine Riachy, Mengda He, Sina Joneidy, Shengchao Qin, Tim Payne, Graeme Boulton, Annalisa Occhipinti, Claudio Angione

Expert Syst. Appl., 2025

From bulk to single-cell and spatial data: An AI framework to characterise breast cancer metabolic dysregulations across modalities.

Le Minh Thao Doan, Suraj Verma, Noushin Eftekhari, Claudio Angione, Annalisa Occhipinti

Comput. Biol. Medicine, 2025

2024

Data-driven analysis of crustal and subduction seismic environments using interpretation of deep learning-based generalized ground motion models.

Jawad Fayaz, Rodrigo Astroza, Claudio Angione, Miguel Medalla

Expert Syst. Appl., March, 2024

Meta-Learning for Speeding Up Large Model Inference in Decentralized Environments.

Yuzhe Yang, Yipeng Du, Ahmad Farhan, Claudio Angione, Yue Zhao, Harry Yang, Fielding Johnston, James P. Buban, Patrick Colangelo

CoRR, 2024

Model Agnostic Hybrid Sharding For Heterogeneous Distributed Inference.

Claudio Angione, Yue Zhao, Harry Yang, Ahmad Farhan, Fielding Johnston, James P. Buban, Patrick Colangelo

CoRR, 2024

Complete Security and Privacy for AI Inference in Decentralized Systems.

Hongyang Zhang, Yue Zhao, Claudio Angione, Harry Yang, James P. Buban, Ahmad Farhan, Fielding Johnston, Patrick Colangelo

CoRR, 2024

2023

Ten quick tips for avoiding pitfalls in multi-omics data integration analyses.

Davide Chicco, Fabio Cumbo, Claudio Angione

PLoS Comput. Biol., 2023

2022

A pipeline and comparative study of 12 machine learning models for text classification.

Annalisa Occhipinti, Louis Rogers, Claudio Angione

Expert Syst. Appl., 2022

Clinical stratification improves the diagnostic accuracy of small omics datasets within machine learning and genome-scale metabolic modelling methods.

Giuseppe Magazzù, Guido Zampieri, Claudio Angione

Comput. Biol. Medicine, 2022

Integrating genome-scale metabolic modelling and transfer learning for human gene regulatory network reconstruction.

Gianvito Pio, Paolo Mignone, Giuseppe Magazzù, Guido Zampieri, Michelangelo Ceci, Claudio Angione

Bioinform., 2022

2021

Modeling Customer Experience in a Contact Center through Process Log Mining.

Teng Fu, Guido Zampieri, David Hodgson, Claudio Angione, Yifeng Zeng

ACM Trans. Intell. Syst. Technol., 2021

Discovering Essential Multiple Gene Effects Through Large Scale Optimization: An Application to Human Cancer Metabolism.

Annalisa Occhipinti, Youssef Hamadi, Hillel Kugler, Christoph M. Wintersteiger, Boyan Yordanov, Claudio Angione

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Multimodal regularized linear models with flux balance analysis for mechanistic integration of omics data.

Giuseppe Magazzù, Guido Zampieri, Claudio Angione

Bioinform., 2021

2020

Developments in AI and Machine Learning for Neuroimaging.

Shane O'Sullivan, Fleur Jeanquartier, Claire Jean-Quartier, Andreas Holzinger, Dan Shiebler, Pradip Moon, Claudio Angione

AI and ML for Digital Pathology, 2020

Using Machine Learning to Emulate Agent-Based Simulations.

Claudio Angione, Eric Silverman, Elisabeth Yaneske

CoRR, 2020

Situating Agent-Based Modelling in Population Health Research.

Eric Silverman, Umberto Gostoli, Stefano Picascia, Jonatan Almagor, Mark McCann, Richard J. Shaw, Claudio Angione

CoRR, 2020

2019

Machine and deep learning meet genome-scale metabolic modeling.

Guido Zampieri, Supreeta Vijayakumar, Elisabeth Yaneske, Claudio Angione

PLoS Comput. Biol., 2019

Social dynamics modeling of chrono-nutrition.

Alessandro Di Stefano, Marialisa Scatà, Supreeta Vijayakumar, Claudio Angione, Aurelio La Corte, Pietro Liò

PLoS Comput. Biol., 2019

2018

Large-scale Genetic Exploration of Genome-wide Models: an Application to Human Cancer Metabolism.

Youssef Hamadi, Claudio Angione, Hillel Kugler, Christoph M. Wintersteiger, Boyan Yordanov

Dataset, November, 2018

The poly-omics of ageing through individual-based metabolic modelling.

Elisabeth Yaneske, Claudio Angione

BMC Bioinform., 2018

Integrating splice-isoform expression into genome-scale models characterizes breast cancer metabolism.

Claudio Angione

Bioinform., 2018

Seeing the wood for the trees: a forest of methods for optimization and omic-network integration in metabolic modelling.

Supreeta Vijayakumar, Maxwell Conway, Pietro Lió, Claudio Angione

Briefings Bioinform., 2018

2017

Making life difficult for Clostridium difficile: augmenting the pathogen's metabolic model with transcriptomic and codon usage data for better therapeutic target characterization.

Sara Saheb Kashaf, Claudio Angione, Pietro Liò

BMC Syst. Biol., 2017

A Data- and Model-Driven Analysis Reveals the Multi-omic Landscape of Ageing.

Elisabeth Yaneske, Claudio Angione

Proceedings of the Bioinformatics and Biomedical Engineering, 2017

Multi-omic Data Integration Elucidates Synechococcus Adaptation Mechanisms to Fluctuations in Light Intensity and Salinity.

Supreeta Vijayakumar, Claudio Angione

Proceedings of the Bioinformatics and Biomedical Engineering, 2017

2016

Multiplex methods provide effective integration of multi-omic data in genome-scale models.

Claudio Angione, Maxwell Conway, Pietro Liò

BMC Bioinform., 2016

2015

Computational methods for multi-omic models of cell metabolism and their importance for theoretical computer science.

Claudio Angione

PhD thesis, 2015

Analysis and design of molecular machines.

Claudio Angione, Jole Costanza, Giovanni Carapezza, Pietro Liò, Giuseppe Nicosia

Theor. Comput. Sci., 2015

Bioinformatics Challenges and Potentialities in Studying Extreme Environments.

Claudio Angione, Pietro Liò, Sandra Pucciarelli, Basarbatu Can, Maxwell Conway, Marina Lotti, Habib Bokhari, Alessio Mancini, Ugur Sezerman, Andrea Telatin

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2015

2014

Satisfiability by Maxwell-Boltzmann and Bose-Einstein Statistical Distributions.

Claudio Angione, Annalisa Occhipinti, Giuseppe Nicosia

ACM J. Exp. Algorithmics, 2014

2013

Pareto Optimality in Organelle Energy Metabolism Analysis.

Claudio Angione, Giovanni Carapezza, Jole Costanza, Pietro Liò, Giuseppe Nicosia

IEEE ACM Trans. Comput. Biol. Bioinform., 2013

Design and strain selection criteria for bacterial communication networks.

Claudio Angione, Giovanni Carapezza, Jole Costanza, Pietro Liò, Giuseppe Nicosia

Nano Commun. Networks, 2013

Bose-Einstein condensation in satisfiability problems.

Claudio Angione, Annalisa Occhipinti, Giovanni Stracquadanio, Giuseppe Nicosia

Eur. J. Oper. Res., 2013

Multi objective design for bacterial communication networks.

Claudio Angione, Giovanni Carapezza, Jole Costanza, Pietro Liò, Giuseppe Nicosia

Proceedings of the IEEE International Conference on Communications, 2013

Pareto epsilon-dominance and identifiable solutions for BioCAD modeling.

Claudio Angione, Jole Costanza, Giovanni Carapezza, Pietro Liò, Giuseppe Nicosia

Proceedings of the 50th Annual Design Automation Conference 2013, 2013

2012

How to Compute with Metabolism in Bacteria?

Claudio Angione, Pietro Liò, Giuseppe Nicosia

ERCIM News, 2012

Robust design of microbial strains.

Jole Costanza, Giovanni Carapezza, Claudio Angione, Pietro Liò, Giuseppe Nicosia

Bioinform., 2012

Multi-objective Optimisation, Sensitivity and Robustness Analysis in FBA Modelling.

Jole Costanza, Giovanni Carapezza, Claudio Angione, Pietro Liò, Giuseppe Nicosia

Proceedings of the Computational Methods in Systems Biology, 2012

Computing with Metabolic Machines.

Claudio Angione, Giovanni Carapezza, Jole Costanza, Pietro Liò, Giuseppe Nicosia

Proceedings of the Turing-100, 2012