A critique of benchmark theory. - Robert Bassett (Synth., 2015)

A quantitative Doignon-Bell-Scarf theorem. - Iskander Aliev; Robert Bassett; Jesús A. De Loera; Quentin Louveaux (Comb., 2017)

Color and Edge-Aware Adversarial Image Perturbations. - Robert Bassett; Mitchell Graves (CoRR, 2020)

DeepFake Detection with Inconsistent Head Poses: Reproducibility and Analysis. - Kevin Lutz; Robert Bassett (CoRR, 2021)

Capturing prediction uncertainty in upstream cell culture models using conformal prediction and Gaussian processes. - Tien-Dung Pham; Uwe Aickelin; Robert Bassett (COPA, 2023)

Applications of Machine Learning in Biopharmaceutical Process Development and Manufacturing: Current Trends, Challenges, and Opportunities. - Thanh Tung Khuat; Robert Bassett; Ellen Otte; Alistair Grevis-James; Bogdan Gabrys (CoRR, 2023)

Online Machine Learning for Real-Time Cell Culture Process Monitoring. - Thanh Tung Khuat; Robert Bassett; Ellen Otte; Bogdan Gabrys (AI (2), 2024)

Applications of machine learning in antibody discovery, process development, manufacturing and formulation: Current trends, challenges, and opportunities. - Thanh Tung Khuat; Robert Bassett; Ellen Otte; Alistair Grevis-James; Bogdan Gabrys (Comput. Chem. Eng., 2024)

Galaxy 3D Shape Recovery using Mixture Density Network. - Suk Yee Yong; K. E. Harborne; Caroline Foster; Robert Bassett; Gregory B. Poole; Mitchell Cavanagh (CoRR, 2024)

Uncertainty Quantification Using Ensemble Learning and Monte Carlo Sampling for Performance Prediction and Monitoring in Cell Culture Processes. - Thanh Tung Khuat; Robert Bassett; Ellen Otte; Bogdan Gabrys (CoRR, 2024)

Capturing uncertainty in black-box chromatography modelling using conformal prediction and Gaussian processes. - Tien-Dung Pham; Robert Bassett; Uwe Aickelin (Comput. Chem. Eng., 2025)