George Fazekas

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Mark SandlerQueen Mary University of LondonVerified email at qmul.ac.uk
Mathieu BarthetSenior Lecturer in Digital Media, Queen Mary University of LondonVerified email at qmul.ac.uk
Keunwoo ChoiPrescient Design, GenentechVerified email at gene.com
Simon DixonCentre for Digital Music, Queen Mary University of LondonVerified email at qmul.ac.uk
Thomas WilmeringQueen Mary University of LondonVerified email at qmul.ac.uk
Kyunghyun ChoNew York University, GenentechVerified email at nyu.edu
Charalampos SaitisQueen Mary University of LondonVerified email at qmul.ac.uk
Luca TurchetAssociate Professor, Dept. of Information Engineering and Computer Science, University of TrentoVerified email at unitn.it
Geraint WigginsProfessor of Computational Creativity, Vrije Universiteit Brussel / Queen Mary University of LondonVerified email at vub.ac.be
Joshua D. Reissqueen mary university of londonVerified email at qmul.ac.uk
Emmanouil BenetosQueen Mary University of London, The Alan Turing InstituteVerified email at qmul.ac.uk
Mathieu LagrangeCNRS Researcher @ ls2nVerified email at ls2n.fr
Beici LiangEpidemic SoundVerified email at epidemicsound.com
Johan PauwelsQueen Mary University of LondonVerified email at qmul.ac.uk
Ben HayesQueen Mary University of LondonVerified email at qmul.ac.uk
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
Brecht De ManHead of Research, PXL-MusicVerified email at pxl.be
Carlo FischioneProfessor, KTH, EECS, Network and Systems EngineeringVerified email at kth.se

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	672	2017
Automatic tagging using deep convolutional neural networks K Choi, G Fazekas, M Sandler arXiv preprint arXiv:1606.00298, 2016	454	2016
Transfer learning for music classification and regression tasks K Choi, G Fazekas, M Sandler, K Cho arXiv preprint arXiv:1703.09179, 2017	312	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, ...	183	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	170	2012
Text-Based LSTM networks for Automatic Music Composition. K Choi, G Fazekas, M Sandler arXiv preprint arXiv:1604.05358, 2016	154	2016
A tutorial on deep learning for music information retrieval K Choi, G Fazekas, K Cho, M Sandler arXiv preprint arXiv:1709.04396, 2017	143	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	86	2018
SAFE: A system for extraction and retrieval of semantic audio descriptors R Stables, S Enderby, B De Man, G Fazekas, JD Reiss	75	2014
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	70	2020
Explaining deep convolutional neural networks on music classification K Choi, G Fazekas, M Sandler arXiv preprint arXiv:1607.02444, 2016	65	2016
The Studio Ontology Framework. G Fazekas, MB Sandler ISMIR, 471-476, 2011	65	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
Open Multitrack Testbed B De Man, M Mora-Mcginity, G Fazekas, JD Reiss AES Convention, 2014	59	2014
Knowledge Representation Issues in Musical Instrument Ontology Design. S Kolozali, G Fazekas, M Barthet, MB Sandler ISMIR, 465-470, 2011	58	2011
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	54	2018
The internet of musical things ontology L Turchet, F Antoniazzi, F Viola, F Giunchiglia, G Fazekas Journal of Web Semantics 60, 100548, 2020	53	2020
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	53	2018
MusCaps: Generating Captions for Music Audio I Manco, E Benetos, E Quinton, G Fazekas IEEE International Joint Conference on Neural Networks (IJCNN 2021), 2021	47	2021
An Ontology for Audio Features. A Allik, G Fazekas, MB Sandler ISMIR, 73-79, 2016	45	2016

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