| Detection and classification of acoustic scenes and events: Outcome of the DCASE 2016 challenge A Mesaros, T Heittola, E Benetos, P Foster, M Lagrange, T Virtanen, ... IEEE/ACM Transactions on Audio, Speech, and Language Processing 26 (2), 379-393, 2017 | 356 | 2017 |
| Unsupervised feature learning based on deep models for environmental audio tagging Y Xu, Q Huang, W Wang, P Foster, S Sigtia, PJB Jackson, MD Plumbley IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (6), 1230 …, 2017 | 96 | 2017 |
| CHiME-Home: A Dataset for Sound Source Recognition in a Domestic Environment P Foster, S Sigtia, S Krstulovic, J Barker, MD Plumbley Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2015 | 96 | 2015 |
| Identifying Cover Songs Using Information-Theoretic Measures of Similarity P Foster, S Dixon, A Klapuri IEEE/ACM Transactions on Audio, Speech, and Language Processing 23 (6), 993-1005, 2015 | 36 | 2015 |
| SK-Tree: a systematic malware detection algorithm on streaming trees via the signature kernel T Cochrane, P Foster, V Chhabra, M Lemercier, T Lyons, C Salvi 2021 IEEE International Conference on Cyber Security and Resilience (CSR), 35-40, 2021 | 25 | 2021 |
| Combining Features for Cover Song Identification J Osmalsky, JJ Embrechts, P Foster, S Dixon 16th International Society for Music Information Retrieval Conference, 2015 | 20 | 2015 |
| Sequential complexity as a descriptor for musical similarity P Foster, M Mauch, S Dixon Audio, Speech, and Language Processing, IEEE/ACM Transactions on 22 (12 …, 2014 | 16 | 2014 |
| Proceedings of the detection and classification of acoustic scenes and events 2016 workshop (dcase2016) T Virtanen, A Mesaros, T Heittola, MD Plumbley, P Foster, E Benetos, ... Tampere University of Technology. Department of Signal Processing, 2016 | 10 | 2016 |
| Global database of cement production assets and upstream suppliers N Tkachenko, K Tang, M McCarten, S Reece, D Kampmann, C Hickey, ... Scientific Data 10 (1), 696, 2023 | 8 | 2023 |
| Proceedings of the detection and classification of acoustic scenes and events 2016 workshop T Virtanen, A Mesaros, T Heittola, MD Plumbley, P Foster, E Benetos, ... Proc. Workshop Detection Classification Acoustic Scenes Events 6, 6-119, 2016 | 7 | 2016 |
| Cognitive music modelling: An information dynamics approach SA Abdallah, H Ekeus, P Foster, A Robertson, MD Plumbley Cognitive Information Processing (CIP), 2012 3rd International Workshop on, 1-8, 2012 | 6 | 2012 |
| Fully Deep Neural Networks Incorporating Unsupervised Feature Learning for Audio Tagging Y Xu, Q Huang, W Wang, P Foster, S Sigtia, PJB Jackson, MD Plumbley arXiv preprint arXiv:1607.03681, 2016 | 4 | 2016 |
| A method for identifying repetition structure in musical audio based on time series prediction P Foster, A Klapuri, S Dixon 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO …, 2012 | 4 | 2012 |
| Sequential Path Signature Networks for Personalised Longitudinal Language Modeling T Tseriotou, A Tsakalidis, P Foster, T Lyons, M Liakata Findings of the Association for Computational Linguistics: ACL 2023, 5016-5031, 2023 | 2 | 2023 |
| Anomaly detection on streamed data T Cochrane, P Foster, T Lyons, IP Arribas arXiv preprint arXiv:2006.03487, 2020 | 2 | 2020 |
| Dimensionless Anomaly Detection on Multivariate Streams with Variance Norm and Path Signature Z Shao, R Sze-Yin Chan, T Cochrane, P Foster, T Lyons arXiv e-prints, arXiv: 2006.03487, 2020 | 2 | 2020 |
| Causal Prediction of Continuous-Valued Music Features. P Foster, A Klapuri, MD Plumbley ISMIR, 501-506, 2011 | 2 | 2011 |
| Digital identity architectures: comparing goals and vulnerabilities C Mole, E Chalstrey, P Foster, T Hobson arXiv preprint arXiv:2302.09988, 2023 | 1 | 2023 |
| Detection and Characterisation of Pollutant Assets with AI and EO to Prioritise Green Investments: The Geoasset Framework C Rossi, N Tkachenko, M Bayaraa, P Foster, S Reece, K Scott, ... IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | 1 | 2022 |
| Information-Theoretic Measures of Predictability for Music Content Analysis P Foster Queen Mary University of London, 2014 | 1 | 2014 |
Mark D. PlumbleyCentre for Vision, Speech and Signal Processing (CVSSP), University of Surreyכתובת אימייל מאומתת בדומיין surrey.ac.uk
