On the Limits to Multi-modal Popularity Prediction on Instagram: A New Robust, Efficient and Explainable Baseline. - Christoffer Riis; Damian Konrad Kowalczyk; Lars Kai Hansen (ICAART (2), 2021)

Bayesian Active Learning with Fully Bayesian Gaussian Processes. - Christoffer Riis; Francisco Antunes; Frederik Boe Hüttel; Carlos Lima Azevedo; Francisco Pereira 002 (NeurIPS, 2022)

NOSTROMO: Lessons learned, conclusions and way forward. - Mayte Cano; Andrés Perillo; Juan Antonio López; Faustino Tello; Javier Poveda; Francisco Câmara; Francisco Antunes; Christoffer Riis; Ian Crook; Abderrazak Tibichte; Sandrine Molton; David Mocholí; et al. (CoRR, 2023)

Learning and Generalizing Polynomials in Simulation Metamodeling. - Jesper Hauch; Christoffer Riis; Francisco C. Pereira (CoRR, 2023)

Applied metamodelling for ATM performance simulations. - Christoffer Riis; Francisco N. Antunes; Tatjana Bolic; Gérald Gurtner; Andrew Cook; Carlos Lima Azevedo; Francisco Câmara Pereira (CoRR, 2023)

Bayesian Active Learning for Censored Regression. - Frederik Boe Hüttel; Christoffer Riis; Filipe Rodrigues 001; Francisco Câmara Pereira (CoRR, 2024)