Convolutional recurrent neural networks for music classification K Choi, G Fazekas, M Sandler, K Cho 2017 IEEE International conference on acoustics, speech and signal …, 2017 | 647 | 2017 |
Automatic tagging using deep convolutional neural networks K Choi, G Fazekas, M Sandler arXiv preprint arXiv:1606.00298, 2016 | 443 | 2016 |
Transfer learning for music classification and regression tasks K Choi, G Fazekas, M Sandler, K Cho arXiv preprint arXiv:1703.09179, 2017 | 300 | 2017 |
Computer-aided melody note transcription using the Tony software: Accuracy and efficiency M Mauch, C Cannam, R Bittner, G Fazekas, J Salamon, J Dai, J Bello, ... | 178 | 2015 |
Music emotion recognition: From content-to context-based models M Barthet, G Fazekas, M Sandler International Symposium on Computer Music Modeling and Retrieval, 228-252, 2012 | 164 | 2012 |
Text-Based LSTM networks for Automatic Music Composition. K Choi, G Fazekas, M Sandler arXiv preprint arXiv:1604.05358, 2016 | 144 | 2016 |
A tutorial on deep learning for music information retrieval K Choi, G Fazekas, K Cho, M Sandler arXiv preprint arXiv:1709.04396, 2017 | 132 | 2017 |
A comparison of audio signal preprocessing methods for deep neural networks on music tagging K Choi, G Fazekas, M Sandler, K Cho 2018 26th European Signal Processing Conference (EUSIPCO), 1870-1874, 2018 | 85 | 2018 |
SAFE: A system for extraction and retrieval of semantic audio descriptors R Stables, S Enderby, B De Man, G Fazekas, JD Reiss | 74 | 2014 |
The Studio Ontology Framework. G Fazekas, MB Sandler ISMIR, 471-476, 2011 | 64 | 2011 |
An overview of semantic web activities in the OMRAS2 project G Fazekas, Y Raimond, K Jacobson, M Sandler Journal of New Music Research 39 (4), 295-311, 2010 | 64 | 2010 |
The internet of audio things: State of the art, vision, and challenges L Turchet, G Fazekas, M Lagrange, HS Ghadikolaei, C Fischione IEEE internet of things journal 7 (10), 10233-10249, 2020 | 61 | 2020 |
Explaining deep convolutional neural networks on music classification K Choi, G Fazekas, M Sandler arXiv preprint arXiv:1607.02444, 2016 | 60 | 2016 |
Open Multitrack Testbed B De Man, M Mora-Mcginity, G Fazekas, JD Reiss AES Convention, 2014 | 57 | 2014 |
Knowledge Representation Issues in Musical Instrument Ontology Design. S Kolozali, G Fazekas, M Barthet, MB Sandler ISMIR, 465-470, 2011 | 56 | 2011 |
Towards a semantic architecture for the internet of musical things L Turchet, F Viola, G Fazekas, M Barthet 2018 23rd Conference of Open Innovations Association (FRUCT), 382-390, 2018 | 52 | 2018 |
The effects of noisy labels on deep convolutional neural networks for music tagging K Choi, G Fazekas, K Cho, M Sandler IEEE Transactions on Emerging Topics in Computational Intelligence 2 (2 …, 2018 | 52 | 2018 |
The internet of musical things ontology L Turchet, F Antoniazzi, F Viola, F Giunchiglia, G Fazekas Journal of Web Semantics 60, 100548, 2020 | 51 | 2020 |
An Ontology for Audio Features. A Allik, G Fazekas, MB Sandler ISMIR, 73-79, 2016 | 44 | 2016 |
Genre-adaptive semantic computing and audio-based modelling for music mood annotation P Saari, G Fazekas, T Eerola, M Barthet, O Lartillot, M Sandler IEEE Transactions on Affective Computing 7 (2), 122-135, 2015 | 42 | 2015 |