George Fazekas

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Mark SandlerQueen Mary University of LondonVerified email at eecs.qmul.ac.uk
Mathieu BarthetSenior Lecturer in Digital Media, Queen Mary University of LondonVerified email at qmul.ac.uk
Keunwoo ChoiGaudio LabVerified email at gaudiolab.com
Thomas WilmeringQueen Mary University of LondonVerified email at qmul.ac.uk
Simon DixonCentre for Digital Music, Queen Mary University of LondonVerified email at qmul.ac.uk
Kyunghyun ChoNew York University, GenentechVerified email at nyu.edu
Luca TurchetAssociate Professor, Dept. of Information Engineering and Computer Science, University of TrentoVerified email at unitn.it
Beici LiangSPARWK ASVerified email at sparwk.com
Matthias MauchApple, LondonVerified email at apple.com
Şefki KolozaliLecturer in Embedded and Intelligent Systems, University of EssexVerified email at essex.ac.uk
Florian ThalmannKyoto UniversityVerified email at umn.edu
Johan PauwelsQueen Mary University of LondonVerified email at qmul.ac.uk
Joshua D. Reissqueen mary university of londonVerified email at qmul.ac.uk
Brecht De ManHead of Research, PXL-MusicVerified email at pxl.be
Geraint WigginsProfessor of Computational Creativity, Vrije Universiteit Brussel / Queen Mary University of LondonVerified email at vub.ac.be
Chris CannamParticular Programs LtdVerified email at particularprograms.co.uk
Ryan StablesProf. Digital Audio, Digital Media Technology Lab, Birmingham City University.Verified email at bcu.ac.uk
Tuomas EerolaDurham University, UKVerified email at durham.ac.uk
Pasi SaariThoughtWorks FinlandVerified email at sanoma.com
Charalampos SaitisQueen Mary University of LondonVerified email at qmul.ac.uk

George Fazekas

Queen Mary University of London

Verified email at qmul.ac.uk - Homepage

semantic audio music information retrieval semantic web music emotion recognition deep learning


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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	516	2017
Automatic tagging using deep convolutional neural networks K Choi, G Fazekas, M Sandler arXiv preprint arXiv:1606.00298, 2016	363	2016
Transfer learning for music classification and regression tasks K Choi, G Fazekas, M Sandler, K Cho arXiv preprint arXiv:1703.09179, 2017	234	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, ...	149	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	141	2012
Text-Based LSTM networks for Automatic Music Composition. K Choi, G Fazekas, M Sandler arXiv preprint arXiv:1604.05358, 2016	125	2016
A tutorial on deep learning for music information retrieval K Choi, G Fazekas, K Cho, M Sandler arXiv preprint arXiv:1709.04396, 2017	105	2017
SAFE: A system for extraction and retrieval of semantic audio descriptors R Stables, S Enderby, B De Man, G Fazekas, JD Reiss	63	2014
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	62	2018
The Studio Ontology Framework. G Fazekas, MB Sandler ISMIR, 471-476, 2011	58	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	57	2010
Open Multitrack Testbed B De Man, M Mora-Mcginity, G Fazekas, JD Reiss AES Convention, 2014	51	2014
Knowledge Representation Issues in Musical Instrument Ontology Design. S Kolozali, G Fazekas, M Barthet, MB Sandler ISMIR, 465-470, 2011	50	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	47	2018
Explaining deep convolutional neural networks on music classification K Choi, G Fazekas, M Sandler arXiv preprint arXiv:1607.02444, 2016	47	2016
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	45	2018
An Ontology for Audio Features. A Allik, G Fazekas, MB Sandler ISMIR, 73-79, 2016	38	2016
The internet of musical things ontology L Turchet, F Antoniazzi, F Viola, F Giunchiglia, G Fazekas Journal of Web Semantics 60, 100548, 2020	37	2020
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	36	2020
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	36	2015

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