Continuous Monitoring of a Computer Network Using Multivariate Adaptive Estimation. - Dean Adam Bodenham; Niall M. Adams (ICDM Workshops, 2013)

Adaptive Change Detection for Relay-Like Behaviour. - Dean Adam Bodenham; Niall M. Adams (JISIC, 2014)

Genome-wide detection of intervals of genetic heterogeneity associated with complex traits. - Felipe Llinares-López; Dominik G. Grimm; Dean A. Bodenham; Udo Gieraths; Mahito Sugiyama; Beth Rowan; Karsten M. Borgwardt (Bioinform., 2015)

Searching for significant patterns in stratified data. - Felipe Llinares-López; Laetitia Papaxanthos; Dean A. Bodenham; Karsten M. Borgwardt (CoRR, 2015)

Finding significant combinations of features in the presence of categorical covariates. - Laetitia Papaxanthos; Felipe Llinares-López; Dean A. Bodenham; Karsten M. Borgwardt (NIPS, 2016)

A comparison of efficient approximations for a weighted sum of chi-squared random variables. - Dean A. Bodenham; Niall M. Adams (Stat. Comput., 2016)

Genome-wide genetic heterogeneity discovery with categorical covariates. - Felipe Llinares-López; Laetitia Papaxanthos; Dean A. Bodenham; Damian Roqueiro; COPDGene Investigators; Karsten M. Borgwardt (Bioinform., 2017)

Continuous monitoring for changepoints in data streams using adaptive estimation. - Dean A. Bodenham; Niall M. Adams (Stat. Comput., 2017)

CASMAP: detection of statistically significant combinations of SNPs in association mapping. - Felipe Llinares-López; Laetitia Papaxanthos; Damian Roqueiro; Dean A. Bodenham; Karsten M. Borgwardt (Bioinform., 2019)

Machine learning for early prediction of circulatory failure in the intensive care unit. - Stephanie L. Hyland; Martin Faltys; Matthias Hüser; Xinrui Lyu; Thomas Gumbsch; Cristóbal Esteban; Christian Bock; Max Horn; Michael Moor; Bastian Rieck; Marc Zimmermann; Dean A. Bodenham; et al. (CoRR, 2019)

euMMD: efficiently computing the MMD two-sample test statistic for univariate data. - Dean A. Bodenham; Yoshinobu Kawahara (Stat. Comput., 2023)