Idris A. Eckley

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 23

Top Topics

Anomaly Detection

Unsupervised Classification

Dimensional Data

Likelihood Ratio Test

Top Venues

IEEE Trans. Signal Process.

Stat. Anal. Data Min.

Publications

Gaetano Romano, Idris A. Eckley, Paul Fearnhead
A Log-Linear Nonparametric Online Changepoint Detection Algorithm Based on Functional Pruning. IEEE Trans. Signal Process. 72 (2024)
Kes Ward, Gaetano Romano, Idris A. Eckley, Paul Fearnhead
A constant-per-iteration likelihood ratio test for online changepoint detection for exponential family models. Stat. Comput. 34 (3) (2024)
Ziyang Yang, Idris A. Eckley, Paul Fearnhead
A communication-efficient, online changepoint detection method for monitoring distributed sensor networks. Stat. Comput. 34 (3) (2024)
Gaurav Agarwal, Idris A. Eckley, Paul Fearnhead
Semiparametric detection of changepoints in location, scale, and copula. Stat. Anal. Data Min. 16 (5) (2023)
Edward Austin, Gaetano Romano, Idris A. Eckley, Paul Fearnhead
Online non-parametric changepoint detection with application to monitoring operational performance of network devices. Comput. Stat. Data Anal. 177 (2023)
Gaetano Romano, Idris A. Eckley, Paul Fearnhead, Guillem Rigaill
Fast Online Changepoint Detection via Functional Pruning CUSUM Statistics. J. Mach. Learn. Res. 24 (2023)
Alexander Tristan Maximilian Fisch, Idris A. Eckley, Paul Fearnhead
Subset Multivariate Collective and Point Anomaly Detection. J. Comput. Graph. Stat. 31 (1) (2022)
Alexander Tristan Maximilian Fisch, Lawrence Bardwell, Idris A. Eckley
Real time anomaly detection and categorisation. Stat. Comput. 32 (4) (2022)
Alexander Tristan Maximilian Fisch, Idris A. Eckley, Paul Fearnhead
Innovative and Additive Outlier Robust Kalman Filtering With a Robust Particle Filter. IEEE Trans. Signal Process. 70 (2022)
Nicholas J. P. Race, Idris A. Eckley, Ajith Kumar Parlikad, Charalampos Rotsos, Ning Wang, Robert J. Piechocki, Philip Stiles, Arjun Parekh, Trevor Burbridge, Peter Willis, Stephen A. Cassidy
Industry-Academia Research toward Future Network Intelligence: The NG-CDI Prosperity Partnership. IEEE Netw. 36 (1) (2022)
Alexander Tristan Maximilian Fisch, Idris A. Eckley, Paul Fearnhead
A linear time method for the detection of collective and point anomalies. Stat. Anal. Data Min. 15 (4) (2022)
Rebecca E. Wilson, Idris A. Eckley, Matthew A. Nunes, Timothy Park
A wavelet-based approach for imputation in nonstationary multivariate time series. Stat. Comput. 31 (2) (2021)
Georg Hahn, Paul Fearnhead, Idris A. Eckley
BayesProject: Fast computation of a projection direction for multivariate changepoint detection. Stat. Comput. 30 (6) (2020)
Rebecca E. Wilson, Idris A. Eckley, Matthew A. Nunes, Timothy Park
Dynamic detection of anomalous regions within distributed acoustic sensing data streams using locally stationary wavelet time series. Data Min. Knowl. Discov. 33 (3) (2019)
David P. Hofmeyr, Nicos G. Pavlidis, Idris A. Eckley
Minimum spectral connectivity projection pursuit - Divisive clustering using optimal projections for spectral clustering. Stat. Comput. 29 (2) (2019)
Lawrence Bardwell, Paul Fearnhead, Idris A. Eckley, Simon Smith, Martin Spott
Most Recent Changepoint Detection in Panel Data. Technometrics 61 (1) (2019)
Hankui Peng, Nicos G. Pavlidis, Idris A. Eckley, Ioannis Tsalamanis
Subspace Clustering of Very Sparse High-Dimensional Data. CoRR (2019)
Timothy Park, Idris A. Eckley, Hernando C. Ombao
Dynamic classification using multivariate locally stationary wavelet processes. Signal Process. 152 (2018)
Matthew Ludkin, Idris A. Eckley, Peter Neal
Dynamic stochastic block models: parameter estimation and detection of changes in community structure. Stat. Comput. 28 (6) (2018)
Hankui Peng, Nicos G. Pavlidis, Idris A. Eckley, Ioannis Tsalamanis
Subspace Clustering of Very Sparse High-Dimensional Data. IEEE BigData (2018)
Sarah L. Taylor, Idris A. Eckley, Matthew A. Nunes
Multivariate locally stationary 2D wavelet processes with application to colour texture analysis. Stat. Comput. 27 (4) (2017)
Kaylea Haynes, Paul Fearnhead, Idris A. Eckley
A computationally efficient nonparametric approach for changepoint detection. Stat. Comput. 27 (5) (2017)
David P. Hofmeyr, Nicos G. Pavlidis, Idris A. Eckley
Divisive clustering of high dimensional data streams. Stat. Comput. 26 (5) (2016)
Christopher F. H. Nam, John A. D. Aston, Idris A. Eckley, Rebecca Killick
The Uncertainty of Storm Season Changes: Quantifying the Uncertainty of Autocovariance Changepoints. Technometrics 57 (2) (2015)
David P. Hofmeyr, Nicos G. Pavlidis, Idris A. Eckley
Minimum Spectral Connectivity Projection Pursuit for Unsupervised Classification. CoRR (2015)
Timothy Park, Idris A. Eckley, Hernando C. Ombao
Estimating Time-Evolving Partial Coherence Between Signals via Multivariate Locally Stationary Wavelet Processes. IEEE Trans. Signal Process. 62 (20) (2014)
Sarah L. Taylor, Idris A. Eckley, Matthew A. Nunes
A Test of Stationarity for Textured Images. Technometrics 56 (3) (2014)
Matthew A. Nunes, Sarah L. Taylor, Idris A. Eckley
A Multiscale Test of Spatial Stationarity for Textured Images in R. R J. 6 (1) (2014)
Rhian Davies, Lyudmila Mihaylova, Nicos G. Pavlidis, Idris A. Eckley
The effect of recovery algorithms on compressive sensing background subtraction. SDF (2013)
Aimee N. Gott, Idris A. Eckley
A Note on the Effect of Wavelet Choice on the Estimation of the Evolutionary Wavelet Spectrum. Commun. Stat. Simul. Comput. 42 (2) (2013)
Idris A. Eckley, Guy P. Nason
Efficient computation of the discrete autocorrelation wavelet inner product matrix. Stat. Comput. 15 (2) (2005)
Ross A. McDonald, David J. Hand, Idris A. Eckley
A Multiclass Extension To The Brownboost Algorithm. Int. J. Pattern Recognit. Artif. Intell. 18 (5) (2004)
Ross A. McDonald, Idris A. Eckley, David J. Hand
A Classifier Combination Tree Algorithm. SSPR/SPR (2004)
Ross A. McDonald, David J. Hand, Idris A. Eckley
An Empirical Comparison of Three Boosting Algorithms on Real Data Sets with Artificial Class Noise. Multiple Classifier Systems (2003)