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)

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; et al. (CoRR, 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)

PyLithics: A Python package for stone tool analysis. - Jason J. Gellis; Camila Rangel Smith; Robert A. Foley (J. Open Source Softw., 2022)

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 (ECCV Workshops (16), 2024)

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, 2025)