Time-Randomized Stopping Problems for a Family of Utility Functions. - Iker Perez; Huiling Le (SIAM J. Control. Optim., 2015)

Out of hours workload management: Bayesian inference for decision support in secondary care. - Iker Perez; Michael A. Brown; James Pinchin; Sarah Martindale; Sarah Sharples; Dominick Shaw; John Blakey (Artif. Intell. Medicine, 2016)

Unsupervised labelling of sequential data for location identification in indoor environments. - Iker Perez; James Pinchin; Michael A. Brown; Jesse M. Blum; Sarah Sharples (Expert Syst. Appl., 2016)

Approximate Bayesian inference with queueing networks and coupled jump processes. - Iker Perez; Giuliano Casale (CoRR, 2018)

Auxiliary variables for Bayesian inference in multi-class queueing networks. - Iker Perez; David J. Hodge; Theodore Kypraios (Stat. Comput., 2018)

Fluid approximation of closed queueing networks with discriminatory processor sharing. - Lulai Zhu; Giuliano Casale; Iker Perez (Perform. Evaluation, 2020)

Path Integrals for the Attribution of Model Uncertainties. - Iker Perez; Piotr Skalski; Alec Barns-Graham; Jason Wong; David Sutton (CoRR, 2021)

Attribution of predictive uncertainties in classification models. - Iker Perez; Piotr Skalski; Alec Barns-Graham; Jason Wong; David Sutton (UAI, 2022)

Towards a Foundation Purchasing Model: Pretrained Generative Autoregression on Transaction Sequences. - Piotr Skalski; David Sutton; Stuart Burrell; Iker Perez; Jason Wong (ICAIF, 2023)

Locally Differentially Private Embedding Models in Distributed Fraud Prevention Systems. - Iker Perez; Jason Wong; Piotr Skalski; Stuart Burrell; Richard Mortier; Derek McAuley; David Sutton (ICDM (Workshops), 2023)