Exploring multivariate data using directions of high density. - Peter Foster (Stat. Comput., 1998)

Causal Prediction of Continuous-Valued Music Features. - Peter Foster; Anssi Klapuri; Mark D. Plumbley (ISMIR, 2011)

Cognitive music modelling: An information dynamics approach. - Samer A. Abdallah; Henrik Ekeus 001; Peter Foster; Andrew Robertson; Mark D. Plumbley (CIP, 2012)

A method for identifying repetition structure in musical audio based on time series prediction. - Peter Foster; Anssi Klapuri; Simon Dixon (EUSIPCO, 2012)

Identification of cover songs using information theoretic measures of similarity. - Peter Foster; Simon Dixon; Anssi Klapuri (ICASSP, 2013)

Sequential complexity as a descriptor for musical similarity. - Peter Foster; Matthias Mauch; Simon Dixon (IEEE ACM Trans. Audio Speech Lang. Process., 2014)

Case-Deletion Diagnostics for Linear Mixed Models. - Jianxin Pan; Yu Fei; Peter Foster (Technometrics, 2014)

Information-theoretic measures of predictability for music content analysis. - Peter Foster (2014)

Combining Features for Cover Song Identification. - Julien Osmalskyj; Peter Foster; Simon Dixon; Jean-Jacques Embrechts (ISMIR, 2015)

Chime-home: A dataset for sound source recognition in a domestic environment. - Peter Foster; Siddharth Sigtia; Sacha Krstulovic; Jon Barker; Mark D. Plumbley (WASPAA, 2015)

Identifying Cover Songs Using Information-Theoretic Measures of Similarity. - Peter Foster; Simon Dixon; Anssi Klapuri (IEEE ACM Trans. Audio Speech Lang. Process., 2015)

Fully Deep Neural Networks Incorporating Unsupervised Feature Learning for Audio Tagging. - Yong Xu 004; Qiang Huang 007; Wenwu Wang 001; Peter Foster; Siddharth Sigtia; Philip J. B. Jackson; Mark D. Plumbley (CoRR, 2016)

Unsupervised Feature Learning Based on Deep Models for Environmental Audio Tagging. - Yong Xu 004; Qiang Huang 007; Wenwu Wang 001; Peter Foster; Siddharth Sigtia; Philip J. B. Jackson; Mark D. Plumbley (IEEE ACM Trans. Audio Speech Lang. Process., 2017)

DCASE2016 Challenge Submissions Package. - Annamaria Mesaros; Toni Heittola; Tuomas Virtanen; Emmanouil Benetos; Mathieu Lagrange; Grégoire Lafay; Peter Foster; Mark D. Plumbley (Zenodo, 2017)

Detection and Classification of Acoustic Scenes and Events: Outcome of the DCASE 2016 Challenge. - Annamaria Mesaros; Toni Heittola; Emmanouil Benetos; Peter Foster; Mathieu Lagrange; Tuomas Virtanen; Mark D. Plumbley (IEEE ACM Trans. Audio Speech Lang. Process., 2018)

Anomaly detection on streamed data. - Thomas Cochrane; Peter Foster; Terry J. Lyons; Imanol Pérez Arribas (CoRR, 2020)

SK-Tree: a systematic malware detection algorithm on streaming trees via the signature kernel. - Thomas Cochrane; Peter Foster; Varun Chhabra; Maud Lemercier; Terry J. Lyons; Cristopher Salvi (CSR, 2021)

Detection and Characterisation of Pollutant Assets with AI and EO to Prioritise Green Investments: The Geoasset Framework. - Cristian Rossi; Nataliya Tkachenko; Maral Bayaraa; Peter Foster; Steven Reece; Kimberly Scott; Georgios Voulgaris; Christophe Christiaen; Matthew McCarten (IGARSS, 2022)

Sequential Path Signature Networks for Personalised Longitudinal Language Modeling. - Talia Tseriotou; Adam Tsakalidis; Peter Foster; Terence Lyons; Maria Liakata (ACL (Findings), 2023)

Digital identity architectures: comparing goals and vulnerabilities. - Callum Mole; Ed Chalstrey; Peter Foster; Tim Hobson (CoRR, 2023)

A Gaussian copula joint model for longitudinal and time-to-event data with random effects. - Zili Zhang; Christiana Charalambous; Peter Foster (Comput. Stat. Data Anal., 2023)