An Empirical Comparison of Three Boosting Algorithms on Real Data Sets with Artificial Class Noise. - Ross A. McDonald; David J. Hand; Idris A. Eckley (Multiple Classifier Systems, 2003)

A Classifier Combination Tree Algorithm. - Ross A. McDonald; Idris A. Eckley; David J. Hand (SSPR/SPR, 2004)

A Multiclass Extension To The Brownboost Algorithm. - Ross A. McDonald; David J. Hand; Idris A. Eckley (Int. J. Pattern Recognit. Artif. Intell., 2004)

Efficient computation of the discrete autocorrelation wavelet inner product matrix. - Idris A. Eckley; Guy P. Nason (Stat. Comput., 2005)

The effect of recovery algorithms on compressive sensing background subtraction. - Rhian Davies; Lyudmila Mihaylova; Nicos G. Pavlidis; Idris A. Eckley (SDF, 2013)

A Note on the Effect of Wavelet Choice on the Estimation of the Evolutionary Wavelet Spectrum. - Aimee N. Gott; Idris A. Eckley (Commun. Stat. Simul. Comput., 2013)

A Multiscale Test of Spatial Stationarity for Textured Images in R. - Matthew A. Nunes; Sarah L. Taylor; Idris A. Eckley (R J., 2014)

A Test of Stationarity for Textured Images. - Sarah L. Taylor; Idris A. Eckley; Matthew A. Nunes (Technometrics, 2014)

Estimating Time-Evolving Partial Coherence Between Signals via Multivariate Locally Stationary Wavelet Processes. - Timothy Park; Idris A. Eckley; Hernando C. Ombao (IEEE Trans. Signal Process., 2014)

Minimum Spectral Connectivity Projection Pursuit for Unsupervised Classification. - David P. Hofmeyr; Nicos G. Pavlidis; Idris A. Eckley (CoRR, 2015)

The Uncertainty of Storm Season Changes: Quantifying the Uncertainty of Autocovariance Changepoints. - Christopher F. H. Nam; John A. D. Aston; Idris A. Eckley; Rebecca Killick (Technometrics, 2015)

Divisive clustering of high dimensional data streams. - David P. Hofmeyr; Nicos G. Pavlidis; Idris A. Eckley (Stat. Comput., 2016)

A computationally efficient nonparametric approach for changepoint detection. - Kaylea Haynes; Paul Fearnhead; Idris A. Eckley (Stat. Comput., 2017)

Multivariate locally stationary 2D wavelet processes with application to colour texture analysis. - Sarah L. Taylor; Idris A. Eckley; Matthew A. Nunes (Stat. Comput., 2017)

Subspace Clustering of Very Sparse High-Dimensional Data. - Hankui Peng; Nicos G. Pavlidis; Idris A. Eckley; Ioannis Tsalamanis (IEEE BigData, 2018)

A linear time method for the detection of point and collective anomalies. - Alexander Tristan Maximilian Fisch; Idris Arthur Eckley; Paul Fearnhead (CoRR, 2018)

Dynamic stochastic block models: parameter estimation and detection of changes in community structure. - Matthew Ludkin; Idris A. Eckley; Peter Neal (Stat. Comput., 2018)

Dynamic classification using multivariate locally stationary wavelet processes. - Timothy Park; Idris A. Eckley; Hernando C. Ombao (Signal Process., 2018)

Dynamic detection of anomalous regions within distributed acoustic sensing data streams using locally stationary wavelet time series. - Rebecca E. Wilson; Idris A. Eckley; Matthew A. Nunes; Timothy Park (Data Min. Knowl. Discov., 2019)

Minimum spectral connectivity projection pursuit - Divisive clustering using optimal projections for spectral clustering. - David P. Hofmeyr; Nicos G. Pavlidis; Idris A. Eckley (Stat. Comput., 2019)

Most Recent Changepoint Detection in Panel Data. - Lawrence Bardwell; Paul Fearnhead; Idris A. Eckley; Simon Smith; Martin Spott (Technometrics, 2019)

BayesProject: Fast computation of a projection direction for multivariate changepoint detection. - Georg Hahn; Paul Fearnhead; Idris A. Eckley (Stat. Comput., 2020)

A wavelet-based approach for imputation in nonstationary multivariate time series. - Rebecca E. Wilson; Idris A. Eckley; Matthew A. Nunes; Timothy Park (Stat. Comput., 2021)

Industry-Academia Research toward Future Network Intelligence: The NG-CDI Prosperity Partnership. - Nicholas J. P. Race; Idris A. Eckley; Ajith Kumar Parlikad; Charalampos Rotsos; Ning Wang 001; Robert J. Piechocki; Philip Stiles; Arjun Parekh; Trevor Burbridge; Peter Willis 001; Stephen A. Cassidy (IEEE Netw., 2022)

Real time anomaly detection and categorisation. - Alexander Tristan Maximilian Fisch; Lawrence Bardwell; Idris A. Eckley (Stat. Comput., 2022)

A linear time method for the detection of collective and point anomalies. - Alexander Tristan Maximilian Fisch; Idris A. Eckley; Paul Fearnhead (Stat. Anal. Data Min., 2022)

Innovative and Additive Outlier Robust Kalman Filtering With a Robust Particle Filter. - Alexander Tristan Maximilian Fisch; Idris A. Eckley; Paul Fearnhead (IEEE Trans. Signal Process., 2022)

Subset Multivariate Collective and Point Anomaly Detection. - Alexander Tristan Maximilian Fisch; Idris A. Eckley; Paul Fearnhead (J. Comput. Graph. Stat., 2022)

Online non-parametric changepoint detection with application to monitoring operational performance of network devices. - Edward Austin; Gaetano Romano; Idris A. Eckley; Paul Fearnhead (Comput. Stat. Data Anal., 2023)

Fast Online Changepoint Detection via Functional Pruning CUSUM Statistics. - Gaetano Romano; Idris A. Eckley; Paul Fearnhead; Guillem Rigaill (J. Mach. Learn. Res., 2023)

Semiparametric detection of changepoints in location, scale, and copula. - Gaurav Agarwal; Idris A. Eckley; Paul Fearnhead (Stat. Anal. Data Min., 2023)

anomaly: Detection of Anomalous Structure in Time Series Data. - Alexander Tristan Maximilian Fisch; Daniel Grose; Idris A. Eckley; Paul Fearnhead; Lawrence Bardwell (J. Stat. Softw., 2024)

A Log-Linear Nonparametric Online Changepoint Detection Algorithm Based on Functional Pruning. - Gaetano Romano; Idris A. Eckley; Paul Fearnhead (IEEE Trans. Signal Process., 2024)

A constant-per-iteration likelihood ratio test for online changepoint detection for exponential family models. - Kes Ward; Gaetano Romano; Idris A. Eckley; Paul Fearnhead (Stat. Comput., 2024)

A communication-efficient, online changepoint detection method for monitoring distributed sensor networks. - Ziyang Yang; Idris A. Eckley; Paul Fearnhead (Stat. Comput., 2024)

Detection of Emergent Anomalous Structure in Functional Data. - Edward Austin; Idris A. Eckley; Lawrence Bardwell (Technometrics, 2024)