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ORCIDClaudio Angione
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2020 – today
- 2024
[j21]Jawad Fayaz
, Rodrigo Astroza, Claudio Angione, Miguel Medalla:
Data-driven analysis of crustal and subduction seismic environments using interpretation of deep learning-based generalized ground motion models. Expert Syst. Appl. 238(Part A): 121731 (2024)- [i8]Hongyang Zhang, Yue Zhao, Claudio Angione, Harry Yang, James Buban, Ahmad Farhan, Fielding Johnston, Patrick Colangelo:
Complete Security and Privacy for AI Inference in Decentralized Systems. CoRR abs/2407.19401 (2024) - [i7]Claudio Angione, Yue Zhao, Harry Yang, Ahmad Farhan, Fielding Johnston, James Buban, Patrick Colangelo:
Model Agnostic Hybrid Sharding For Heterogeneous Distributed Inference. CoRR abs/2407.19775 (2024) - [i6]Yuzhe Yang, Yipeng Du, Ahmad Farhan, Claudio Angione, Yue Zhao, Harry Yang, Fielding Johnston, James Buban, Patrick Colangelo:
Meta-Learning for Speeding Up Large Model Inference in Decentralized Environments. CoRR abs/2410.21340 (2024) - 2023
- [j20]Davide Chicco, Fabio Cumbo, Claudio Angione:
Ten quick tips for avoiding pitfalls in multi-omics data integration analyses. PLoS Comput. Biol. 19(7) (2023) - 2022
- [j19]Gianvito Pio, Paolo Mignone, Giuseppe Magazzù, Guido Zampieri, Michelangelo Ceci, Claudio Angione:
Integrating genome-scale metabolic modelling and transfer learning for human gene regulatory network reconstruction. Bioinform. 38(2): 487-493 (2022) - [j18]Giuseppe Magazzù, Guido Zampieri, Claudio Angione:
Clinical stratification improves the diagnostic accuracy of small omics datasets within machine learning and genome-scale metabolic modelling methods. Comput. Biol. Medicine 151(Part): 106244 (2022) - [j17]Annalisa Occhipinti, Louis Rogers, Claudio Angione:
A pipeline and comparative study of 12 machine learning models for text classification. Expert Syst. Appl. 201: 117193 (2022) - [i5]Annalisa Occhipinti, Louis Rogers, Claudio Angione:
A pipeline and comparative study of 12 machine learning models for text classification. CoRR abs/2204.06518 (2022) - 2021
- [j16]Giuseppe Magazzù, Guido Zampieri, Claudio Angione:
Multimodal regularized linear models with flux balance analysis for mechanistic integration of omics data. Bioinform. 37(20): 3546-3552 (2021) - [j15]Annalisa Occhipinti, Youssef Hamadi, Hillel Kugler, Christoph M. Wintersteiger, Boyan Yordanov, Claudio Angione:
Discovering Essential Multiple Gene Effects Through Large Scale Optimization: An Application to Human Cancer Metabolism. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2339-2352 (2021) - [j14]Teng Fu, Guido Zampieri, David Hodgson, Claudio Angione, Yifeng Zeng:
Modeling Customer Experience in a Contact Center through Process Log Mining. ACM Trans. Intell. Syst. Technol. 12(4): 48:1-48:21 (2021) - 2020
- [p1]Shane O'Sullivan, Fleur Jeanquartier, Claire Jean-Quartier, Andreas Holzinger, Dan Shiebler, Pradip Moon, Claudio Angione:
Developments in AI and Machine Learning for Neuroimaging. AI and ML for Digital Pathology 2020: 307-320 - [i4]Eric Silverman, Umberto Gostoli, Stefano Picascia, Jonatan Almagor, Mark McCann, Richard J. Shaw, Claudio Angione:
Situating Agent-Based Modelling in Population Health Research. CoRR abs/2002.02345 (2020) - [i3]Claudio Angione, Eric Silverman, Elisabeth Yaneske:
Using Machine Learning to Emulate Agent-Based Simulations. CoRR abs/2005.02077 (2020)
2010 – 2019
- 2019
- [j13]Alessandro Di Stefano, Marialisa Scatà, Supreeta Vijayakumar, Claudio Angione, Aurelio La Corte, Pietro Liò:
Social dynamics modeling of chrono-nutrition. PLoS Comput. Biol. 15(1) (2019) - [j12]Guido Zampieri, Supreeta Vijayakumar, Elisabeth Yaneske, Claudio Angione:
Machine and deep learning meet genome-scale metabolic modeling. PLoS Comput. Biol. 15(7) (2019) - 2018
- [j11]Supreeta Vijayakumar, Maxwell Conway, Pietro Lió, Claudio Angione:
Seeing the wood for the trees: a forest of methods for optimization and omic-network integration in metabolic modelling. Briefings Bioinform. 19(6): 1218-1235 (2018) - [j10]Claudio Angione:
Integrating splice-isoform expression into genome-scale models characterizes breast cancer metabolism. Bioinform. 34(3): 494-501 (2018) - [j9]Elisabeth Yaneske, Claudio Angione:
The poly-omics of ageing through individual-based metabolic modelling. BMC Bioinform. 19-S(14): 83-96 (2018) - [d1]Youssef Hamadi, Claudio Angione, Hillel Kugler, Christoph M. Wintersteiger, Boyan Yordanov:
Large-scale Genetic Exploration of Genome-wide Models: an Application to Human Cancer Metabolism. IEEE DataPort, 2018
- 2017
- [j8]Sara Saheb Kashaf, Claudio Angione, Pietro Liò:
Making life difficult for Clostridium difficile: augmenting the pathogen's metabolic model with transcriptomic and codon usage data for better therapeutic target characterization. BMC Syst. Biol. 11(1): 25:1-25:13 (2017) - [c7]Elisabeth Yaneske, Claudio Angione:
A Data- and Model-Driven Analysis Reveals the Multi-omic Landscape of Ageing. IWBBIO (1) 2017: 145-154 - [c6]Supreeta Vijayakumar, Claudio Angione:
Multi-omic Data Integration Elucidates Synechococcus Adaptation Mechanisms to Fluctuations in Light Intensity and Salinity. IWBBIO (1) 2017: 220-229 - 2016
- [j7]Claudio Angione, Maxwell Conway, Pietro Liò:
Multiplex methods provide effective integration of multi-omic data in genome-scale models. BMC Bioinform. 17(S-4): 83 (2016) - 2015
- [b1]Claudio Angione:
Computational methods for multi-omic models of cell metabolism and their importance for theoretical computer science. University of Cambridge, UK, 2015 - [j6]Claudio Angione, Jole Costanza, Giovanni Carapezza, Pietro Liò, Giuseppe Nicosia:
Analysis and design of molecular machines. Theor. Comput. Sci. 599: 102-117 (2015) - [c5]Claudio Angione, Pietro Liò, Sandra Pucciarelli, Basarbatu Can, Maxwell Conway, Marina Lotti, Habib Bokhari, Alessio Mancini, Ugur Sezerman, Andrea Telatin:
Bioinformatics Challenges and Potentialities in Studying Extreme Environments. CIBB 2015: 205-219 - 2014
- [j5]Claudio Angione, Annalisa Occhipinti, Giuseppe Nicosia:
Satisfiability by Maxwell-Boltzmann and Bose-Einstein Statistical Distributions. ACM J. Exp. Algorithmics 19(1) (2014) - 2013
- [j4]Claudio Angione, Annalisa Occhipinti, Giovanni Stracquadanio, Giuseppe Nicosia:
Bose-Einstein condensation in satisfiability problems. Eur. J. Oper. Res. 227(1): 44-54 (2013) - [j3]Claudio Angione, Giovanni Carapezza, Jole Costanza, Pietro Liò, Giuseppe Nicosia:
Design and strain selection criteria for bacterial communication networks. Nano Commun. Networks 4(4): 155-163 (2013) - [j2]Claudio Angione, Giovanni Carapezza, Jole Costanza, Pietro Liò, Giuseppe Nicosia:
Pareto Optimality in Organelle Energy Metabolism Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. 10(4): 1032-1044 (2013) - [c4]Claudio Angione, Jole Costanza, Giovanni Carapezza, Pietro Liò, Giuseppe Nicosia:
Pareto epsilon-dominance and identifiable solutions for BioCAD modeling. DAC 2013: 43:1-43:9 - [c3]Claudio Angione, Giovanni Carapezza, Jole Costanza, Pietro Liò, Giuseppe Nicosia:
Multi objective design for bacterial communication networks. ICC Workshops 2013: 813-817 - [i2]Claudio Angione, Annalisa Occhipinti, Giovanni Stracquadanio, Giuseppe Nicosia:
Bose-Einstein Condensation in Satisfiability Problems. CoRR abs/1304.0810 (2013) - 2012
- [j1]Jole Costanza, Giovanni Carapezza, Claudio Angione, Pietro Liò, Giuseppe Nicosia:
Robust design of microbial strains. Bioinform. 28(23): 3097-3104 (2012) - [c2]Claudio Angione, Giovanni Carapezza, Jole Costanza, Pietro Liò, Giuseppe Nicosia:
Computing with Metabolic Machines. Turing-100 2012: 1-15 - [c1]Jole Costanza, Giovanni Carapezza, Claudio Angione, Pietro Liò, Giuseppe Nicosia:
Multi-objective Optimisation, Sensitivity and Robustness Analysis in FBA Modelling. CMSB 2012: 127-147 - [i1]Claudio Angione, Pietro Liò, Giuseppe Nicosia:
How to Compute with Metabolism in Bacteria? ERCIM News 2012(91) (2012)
Coauthor Index
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