Pattern Discovery Tools for Detecting Cheating in Student Coursework. - David J. Hand; Niall M. Adams; Nick A. Heard (Local Pattern Detection, 2004)

A Review of Anomaly Detection on Graphs. - Kiriaki Platanioti; Nicholas A. Heard; David J. Hand (NATO ASI Mining Massive Data Sets for Security, 2007)

Dissecting the fission yeast regulatory network reveals phase-specific control elements of its cell cycle. - Pierre R. Bushel; Nicholas A. Heard; Roee Gutman; Liwen Liu; Shyamal D. Peddada; Saumyadipta Pyne (BMC Syst. Biol., 2009)

On two-way Bayesian agglomerative clustering of gene expression data. - Anna Fowler; Nicholas A. Heard (Stat. Anal. Data Min., 2012)

Dynamic Bayesian Clustering. - Anna Fowler; Vilas Menon; Nicholas A. Heard (J. Bioinform. Comput. Biol., 2013)

Detecting Localised Anomalous Behaviour in a Computer Network. - Melissa J. Turcotte; Nicholas A. Heard; Joshua Neil (IDA, 2014)

Application of a Linear Time Method for Change Point Detection to the Classification of Software. - Alexander Bolton; Nicholas A. Heard (JISIC, 2014)

Filtering Automated Polling Traffic in Computer Network Flow Data. - Nick Heard; Patrick Rubin-Delanchy; Daniel J. Lawson (JISIC, 2014)

Statistical Frameworks for Detecting Tunnelling in Cyber Defence Using Big Data. - Daniel J. Lawson; Patrick Rubin-Delanchy; Nicholas A. Heard; Niall M. Adams (JISIC, 2014)

Modelling New Edge Formation in a Computer Network through Bayesian Variable Selection. - Silvia Metelli; Nicholas A. Heard (JISIC, 2014)

Three Statistical Approaches to Sessionizing Network Flow Data. - Patrick Rubin-Delanchy; Daniel J. Lawson; Melissa J. Turcotte; Nicholas A. Heard; Niall M. Adams (JISIC, 2014)

Topic modelling of authentication events in an enterprise computer network. - Nick Heard; Konstantina Palla; Maria Skoularidou (ISI, 2016)

Network-wide anomaly detection via the Dirichlet process. - Nick Heard; Patrick Rubin-Delanchy (ISI, 2016)

Model-based clustering and new edge modelling in large computer networks. - Silvia Metelli; Nicholas A. Heard (ISI, 2016)

Disassortativity of computer networks. - Patrick Rubin-Delanchy; Niall M. Adams; Nicholas A. Heard (ISI, 2016)

Poisson factorization for peer-based anomaly detection. - Melissa J. Turcotte; Juston S. Moore; Nick Heard; Aaron McPhall (ISI, 2016)

Convergence of Monte Carlo distribution estimates from rival samplers. - Nicholas A. Heard; Melissa J. Turcotte (Stat. Comput., 2016)

Detecting Periodic Subsequences in Cyber Security Data. - Matthew Price-Williams; Nick Heard; Melissa J. Turcotte (EISIC, 2017)

Time of Day Anomaly Detection. - Matthew Price-Williams; Melissa J. Turcotte; Nick Heard (EISIC, 2018)

Graph link prediction in computer networks using Poisson matrix factorisation. - Francesco Sanna Passino; Melissa J. M. Turcotte; Nicholas A. Heard (CoRR, 2020)

Classification of periodic arrivals in event time data for filtering computer network traffic. - Francesco Sanna Passino; Nicholas A. Heard (Stat. Comput., 2020)

Bayesian estimation of the latent dimension and communities in stochastic blockmodels. - Francesco Sanna Passino; Nicholas A. Heard (Stat. Comput., 2020)

Nonparametric self-exciting models for computer network traffic. - Matthew Price-Williams; Nicholas A. Heard (Stat. Comput., 2020)

Mutually exciting point process graphs for modelling dynamic networks. - Francesco Sanna Passino; Nicholas A. Heard (CoRR, 2021)

Link prediction in dynamic networks using random dot product graphs. - Francesco Sanna Passino; Anna S. Bertiger; Joshua C. Neil; Nicholas A. Heard (Data Min. Knowl. Discov., 2021)

Changepoint detection in non-exchangeable data. - Karl L. Hallgren; Nicholas A. Heard; Niall M. Adams (Stat. Comput., 2022)

Latent structure blockmodels for Bayesian spectral graph clustering. - Francesco Sanna Passino; Nicholas A. Heard (Stat. Comput., 2022)

Spectral Clustering on Spherical Coordinates Under the Degree-Corrected Stochastic Blockmodel. - Francesco Sanna Passino; Nicholas A. Heard; Patrick Rubin-Delanchy (Technometrics, 2022)

Standardized Partial Sums and Products of p-Values. - Nicholas A. Heard (J. Comput. Graph. Stat., 2022)

Unsupervised attack pattern detection in honeypot data using Bayesian topic modelling. - Francesco Sanna Passino; Anastasia Mantziou; Daniyar Ghani; Philip Thiede; Ross Bevington; Nicholas A. Heard (CoRR, 2023)

Mutually Exciting Point Process Graphs for Modeling Dynamic Networks. - Francesco Sanna Passino; Nicholas A. Heard (J. Comput. Graph. Stat., 2023)

Multiresolution Analysis and Statistical Thresholding on Dynamic Networks. - Raphaël Romero; Tijl De Bie; Nick Heard; Alexander Modell (CoRR, 2025)