Camila Rangel Smith

According to our database, Camila Rangel Smith authored at least 6 papers between 2020 and 2025.

Collaborative distances:

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

2025

PERC: a suite of software tools for the curation of cryoEM data with application to simulation, modelling and machine learning.

Beatriz Costa-Gomes, Joel Greer, Nikolai Juraschko, James Parkhurst, Jola Mirecka, Marjan Famili, Camila Rangel Smith, Oliver Strickson, Alan R. Lowe, Mark Basham, Tom Burnley

CoRR, March, 2025

2024

Affinity-VAE: Incorporating Prior Knowledge in Representation Learning from Scientific Images.

Marjan Famili, Jola Mirecka, Camila Rangel Smith, Anna Kostanska, Nikolai Juraschko, Beatriz Costa-Gomes, Colin M. Palmer, Jeyan Thiyagalingam, Tom Burnley, Mark Basham, Alan R. Lowe

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

2022

PyLithics: A Python package for stone tool analysis.

Jason J. Gellis, Camila Rangel Smith, Robert A. Foley

J. Open Source Softw., 2022

TAPAS: a Toolbox for Adversarial Privacy Auditing of Synthetic Data.

Florimond Houssiau, James Jordon, Samuel N. Cohen, Owen Daniel, Andrew Elliott, James Geddes, Callum D. Mole, Camila Rangel Smith, Lukasz Szpruch

CoRR, 2022

Faking feature importance: A cautionary tale on the use of differentially-private synthetic data.

Oscar Giles, Kasra Hosseini, Grigorios Mingas, Oliver Strickson, Louise Bowler, Camila Rangel Smith, Harrison Wilde, Jen Ning Lim, Bilal A. Mateen, Kasun Amarasinghe, Rayid Ghani, Alison J. Heppenstall, Nik Lomax, Nick Malleson, Martin T. O'Reilly, Sebastian J. Vollmer

CoRR, 2022

2020

Data Engineering for Data Analytics: A Classification of the Issues, and Case Studies.

Alfredo Nazábal, Christopher K. I. Williams, Giovanni Colavizza, Camila Rangel Smith, Angus Williams

CoRR, 2020