Dr Chico Camargo

Dr Chico Camargo

Publications

_{Copyright Notice: Any articles made available for download are for personal use only. Any other use requires prior permission of the author and the copyright holder.}

| 2022 | 2021 | 2020 | 2019 | 2018 |

2022

Yücel SG, Pereira RHM, Peixoto PS, Camargo CQ. (2022) Impact of Network Centrality and Income on Slowing Infection Spread after Outbreaks.
Johnston IG, Dingle K, Greenbury SF, Camargo CQ, Doye JPK, Ahnert SE, Louis AA. (2022) Symmetry and simplicity spontaneously emerge from the algorithmic nature of evolution, Proc Natl Acad Sci U S A, volume 119, no. 11, DOI:10.1073/pnas.2113883119. [PDF]

2021

Johnston IG, Dingle K, Greenbury SF, Camargo CQ, Doye JPK, Ahnert SE, Louis AA. (2021) Symmetry and simplicity spontaneously emerge from the algorithmic nature of evolution, DOI:10.1101/2021.07.28.454038.
Camargo CQ, John P, Margetts HZ, Hale SA. (2021) Measuring the Volatility of the Political agenda in Public Opinion and News Media, Public Opin Q, volume 85, no. 2, pages 493-516, DOI:10.1093/poq/nfab032. [PDF]
Simon FM, Camargo CQ. (2021) Autopsy of a metaphor: The origins, use and blind spots of the 'infodemic', NEW MEDIA & SOCIETY, article no. ARTN 14614448211031908, DOI:10.1177/14614448211031908. [PDF]

2020

Camargo CQ, Louis AA. (2020) Boolean Threshold Networks as Models of Genotype-Phenotype Maps, Complex Networks XI, Springer, 143-155.
Camargo CQ. (2020) New Methods for the Steady-State Analysis of Complex Agent-Based Models, Frontiers in Physics, volume 8, DOI:10.3389/fphy.2020.00103. [PDF]
Camargo CQ, Bright J, McNeill G, Raman S, Hale SA. (2020) Estimating Traffic Disruption Patterns with Volunteered Geographic Information, Scientific Reports, volume 10, no. 1, article no. 1271, DOI:10.1038/s41598-020-57882-2. [PDF]

2019

Camargo CQ, Bright J, Hale SA. (2019) Diagnosing the performance of human mobility models at small spatial scales using volunteered geographic information.
Camargo CQ, Bright J, McNeill G, Raman S, Hale SA. (2019) Estimating Traffic Disruption Patterns with Volunteered Geographic Information.
De Domenico M, Brockmann D, Camargo CQ, Gershenson C, Goldsmith D, Jeschonnek S, Kay L, Nichele S, Nicolás J, Schmickl T. (2019) Complexity Explained: A Grassroot Collaborative Initiative to Create a Set of Essential Concepts of Complex Systems, DOI:10.17605/osf.io/tqgnw. [PDF]
Pérez GV, Camargo CQ, Louis AA. (2019) Tight PAC-Bayesian generalization error bounds for deep learning, ICML workshop on Understanding and Improving Generalization in Deep Learning.
Pérez GV, Camargo CQ, Louis AA. (2019) Deep learning generalizes because the parameter-function map is biased towards simple functions, Proceedings of the International Conference on Learning Representations (ICLR). [PDF]
Camargo CQ, Bright J, Hale SA. (2019) Diagnosing the performance of human mobility models at small spatial scales using volunteered geographical information, Royal Society Open Science, volume 6, no. 11, pages 191034-191034, DOI:10.1098/rsos.191034. [PDF]

2018

Camargo C. (2018) Physics makes rules, evolution rolls the dice, Science, volume 361, no. 6399, pages 236-236, DOI:10.1126/science.aat7776.
Bright J, Camargo C, Hale S, McNeill G, Raman S. (2018) Estimating traffic disruption patterns with volunteer geographic information, Proceedings of the 2nd International Conference on Advanced Research Methods and Analytics (CARMA 2018), DOI:10.4995/carma2018.2018.8319.
Camargo CQ, Hale SA, John P, Margetts HZ. (2018) Measuring the Volatility of the Political agenda in Public Opinion and News Media.
Valle-Pérez G, Camargo CQ, Louis AA. (2018) Deep learning generalizes because the parameter-function map is biased towards simple functions.
Dingle K, Camargo CQ, Louis AA. (2018) Input–output maps are strongly biased towards simple outputs, Nature Communications, volume 9, no. 1, article no. 761, DOI:10.1038/s41467-018-03101-6. [PDF]

Showing 19 publications from Symplectic.