Report/Guide

Bilson, S; Thompson, A (2022) A review of applications of supervised learning to future networks. NPL Report. MS 40

Livina, V (2023) Tipping point analysis and its applications. NPL Report. MS 47

Article

Billuroglu, B; Livina, V N (2022) Full-Cycle Failure Analysis Using Conventional Time Series Analysis and Machine Learning Techniques. Journal of Failure Analysis and Prevention, 22 (3). pp. 1121-1134.

Cao, Y; Thompson, A; Wang, M; Xie, Y (2019) Sketching for sequential change-point detection. EURASIP Journal on Advances in Signal Processing, 2019 (1). 42 ISSN 1687-6180

Chretien, S; Guyeux, C*; Conesa, B*; Delage-Mouroux, R*; Jouvenot, M*; Huetz, P*; Descotes, F* (2016) A Bregman-proximal point algorithm for robust non-negative matrix factorization with possible missing values and outlines- application to gene expression analysis. BMC Bioinformatics, 17 (8). p. 284.

Chretien, S; Wei, T W (2018) On the subdifferential of symmetric convex functions of the spectrum for symmetric and orthogonally decomposable tensors. Linear Algebra and its Applications, 542. pp. 84-100.

Eichstädt, S*; Elster, C*; Esward, T J; Hessling, J P* (2010) Deconvolution filters for the analysis of dynamic measurement processes: a tutorial. Metrologia, 47 (5). pp. 522-533.

Esward, T; Eichstädt, S; Smith, I; Bruns, T; Davis, P; Harris, P (2019) Estimating dynamic mechanical quantities and their associated uncertainties: application guidance. Metrologia, 56 (1). 015002. ISSN 0026-1394

Gonzalez-Fernandez, A; Dexter, A; Nikula, C; Bunch, J (2023) NECTAR: A new algorithm for characterising and correcting noise in QToF-mass spectrometry imaging data. Journal of The American Society for Mass Spectrometry, 34 (11). pp. 2443-2453.

Li, B; Rencker, L; Dong, J; Luo, Y; Plumbley, M D; Wang, W (2021) Sparse Analysis Model Based Dictionary Learning for Signal Declipping. IEEE Journal of Selected Topics in Signal Processing, 15 (1). pp. 25-36. ISSN 1932-4553

Mehari, T; Sundar, A; Bosnjakovic, A; Harris, P M; Williams, S E; Loewe, A; Doessel, O; Nagel, C; Strodthoff, N; Aston, P J (2024) ECG Feature Importance Rankings: Cardiologists vs. Algorithms. IEEE Journal of Biomedical and Health Informatics, 28 (4). pp. 2014-2024.

Conference or Workshop Item

Aston, P (2024) Does Skin Tone Affect Machine Learning Classification Accuracy Applied to Photoplethysmography Signals? In: Computing in Cardiology, 8-11 September 2024, Karlsruhe, Germany.

Chretien, S; Harris, P M; Tawil, R* (2016) Total Variation minimization for Compressed Sensing with "smoothly'' varying covariates. In: 19th IEEE International Conference on Computational Science and Engineering (CSE), IEEE 14th International Conference on Embedded and Ubiquitous Computing (EUC) and 15th International Symposium on Distributed Computing and Applications for Business Engine, 24-26 August 2016, Paris, France.

Chretien, S; Ho, O (2018) Feature Selection in Weakly Coherent Matrices. In: Latent Variable Analysis and Signal Separation. 14th International Conference, LVA/ICA, 2-5 July 2018, Guildford, UK.

Li, S Y; Gu, Y T; Luo, Y H; Chambers, J; Wang, W W (2019) Enhanced Streaming Based Subspace Clustering Applied to Acoustic Scene Data Clustering. In: 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 12-17 May 2019, Brighton, UK.

Li, S Y; Luo, Y H; Chambers, J; Wang, W W (2021) Dimension Selected Subspace Clustering. In: 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021), 6-11 June 2021, Toronto, ON, Canada.

Tran, V H; Wang, W; Luo, Y; Chambers, J (2018) Bayesian Inference for Multi-Line Spectra in Linear Sensor Array. In: 2018 IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP), 15-20 April 2018, Calgary, AB, Canada.

Wei, T; Chretien, S (2019) A Penalized Autoencoder Approach for Nonlinear Independent Component Analysis. In: 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 12-17 May 2019, Brighton, UK.

Book Chapter/Section

Chretien, S; Dares, S (2018) An elementary approach to the problem of column selection in a rectangular matrix. In: Lecture Notes in Computer Science - Machine Learning, Optimization and Big Data. Springer, pp. 234-243. ISBN 9783319729251