| Singing voice separation with deep U-Net convolutional networks A Jansson, E Humphrey, N Montecchio, R Bittner, A Kumar, T Weyde International Society for Music Information Retrieval, Suzhou, China …, 2017 | 633 | 2017 |
| Improved speech enhancement with the Wave-U-net C Macartney arXiv preprint arXiv:1811.11307, 2018 | 263 | 2018 |
| Using ontologies to enhance human understandability of global post-hoc explanations of black-box models R Confalonieri, T Weyde, TR Besold, FM del Prado Martín Artificial Intelligence 296, 103471, 2021 | 143 | 2021 |
| M2u-net: Effective and efficient retinal vessel segmentation for real-world applications T Laibacher, T Weyde, S Jalali Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 108 | 2019 |
| An efficient temporally-constrained probabilistic model for multiple-instrument music transcription E Benetos, T Weyde International Society for Music Information Retrieval Conference (ISMIR …, 2015 | 87 | 2015 |
| 3D augmented mirror: a multimodal interface for string instrument learning and teaching with gesture support KC Ng, T Weyde, O Larkin, K Neubarth, T Koerselman, B Ong Proceedings of the 9th international conference on Multimodal interfaces …, 2007 | 70 | 2007 |
| A hybrid recurrent neural network for music transcription S Sigtia, E Benetos, N Boulanger-Lewandowski, T Weyde, ASA Garcez, ... 2015 IEEE international conference on acoustics, speech and signal …, 2015 | 65 | 2015 |
| Trepan reloaded: A knowledge-driven approach to explaining black-box models R Confalonieri, T Weyde, TR Besold, F Moscoso del Prado Martín ECAI 2020, 2457-2464, 2020 | 56 | 2020 |
| An efficient shift-invariant model for polyphonic music transcription E Benetos, S Cherla, T Weyde 6th International Workshop on Machine Learning and Music, 2013 | 56 | 2013 |
| Multi-time-scale convolution for emotion recognition from speech audio signals E Guizzo, T Weyde, JB Leveson ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 55 | 2020 |
| Accuracy and interpretability trade-offs in machine learning applied to safer gambling S Sarkar, T Weyde, A Garcez, GG Slabaugh, S Dragicevic, C Percy CEUR Workshop Proceedings 1773, 2016 | 55 | 2016 |
| An RNN-based music language model for improving automatic music transcription S Sigtia, E Benetos, S Cherla, T Weyde, A Garcez, S Dixon http://www. terasoft. com. tw/conf/ismir2014//proceedings …, 2014 | 51 | 2014 |
| M2U-Net: Effective and efficient retinal vessel segmentation for resource-constrained environments T Laibacher, T Weyde, S Jalali arXiv preprint arXiv:1811.07738, 2018 | 50 | 2018 |
| Trepan reloaded: A knowledge-driven approach to explaining artificial neural networks R Confalonieri, T Weyde, TR Besold, FMP Martín arXiv preprint arXiv:1906.08362, 2019 | 49 | 2019 |
| The digital music lab: A big data infrastructure for digital musicology S Abdallah, E Benetos, N Gold, S Hargreaves, T Weyde, D Wolff Journal on Computing and Cultural Heritage (JOCCH) 10 (1), 1-21, 2017 | 49 | 2017 |
| Learning speech emotion representations in the quaternion domain E Guizzo, T Weyde, S Scardapane, D Comminiello IEEE/ACM Transactions on Audio, Speech, and Language Processing 31, 1200-1212, 2023 | 44 | 2023 |
| An approach to melodic segmentation and classification based on filtering with the Haar-wavelet G Velarde, T Weyde, D Meredith Journal of New Music Research 42 (4), 325-345, 2013 | 43 | 2013 |
| Evaluation of fake news detection with knowledge-enhanced language models C Whitehouse, T Weyde, P Madhyastha, N Komninos Proceedings of the international AAAI conference on web and social media 16 …, 2022 | 42 | 2022 |
| The beyond the fence musical and computer says show documentary S Colton, MT Llano, R Hepworth, J Charnley, CV Gale, A Baron, F Pachet, ... arXiv preprint arXiv:2206.03224, 2022 | 40 | 2022 |
| Joint singing voice separation and f0 estimation with deep u-net architectures A Jansson, RM Bittner, S Ewert, T Weyde 2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019 | 38 | 2019 |
Emmanouil BenetosQueen Mary University of LondonVerified email at qmul.ac.uk
