George Fazekas

Cited by

	All	Since 2018
Citations	3707	2806
h-index	28	23
i10-index	76	56

600

300

150

450

2010201120122013201420152016201720182019202020212022202313 26 31 68 76 91 178 383 467 491 545 592 545 161

Public access

View all

62 articles

1 article

available

not available

Based on funding mandates

Co-authors

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
Kyunghyun ChoNew York University, GenentechVerified email at nyu.edu
Simon DixonCentre for Digital Music, Queen 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
Beici LiangSPARWK ASVerified email at sparwk.com
Florian ThalmannKyoto UniversityVerified email at umn.edu
Matthias MauchApple, LondonVerified email at apple.com
Şefki KolozaliLecturer in Embedded and Intelligent Systems, University of EssexVerified email at essex.ac.uk
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
Charalampos SaitisQueen Mary University of LondonVerified email at qmul.ac.uk
Ryan StablesProf. Digital Audio, Digital Media Technology Lab, Birmingham City University.Verified email at bcu.ac.uk
Carlo FischioneProfessor, KTH, EECS, Network and Systems EngineeringVerified email at kth.se
Tuomas EerolaDurham University, UKVerified email at durham.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


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	538	2017
Automatic tagging using deep convolutional neural networks K Choi, G Fazekas, M Sandler arXiv preprint arXiv:1606.00298, 2016	369	2016
Transfer learning for music classification and regression tasks K Choi, G Fazekas, M Sandler, K Cho arXiv preprint arXiv:1703.09179, 2017	248	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	146	2012
Text-Based LSTM networks for Automatic Music Composition. K Choi, G Fazekas, M Sandler arXiv preprint arXiv:1604.05358, 2016	128	2016
A tutorial on deep learning for music information retrieval K Choi, G Fazekas, K Cho, M Sandler arXiv preprint arXiv:1709.04396, 2017	111	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	65	2018
SAFE: A system for extraction and retrieval of semantic audio descriptors R Stables, S Enderby, B De Man, G Fazekas, JD Reiss	63	2014
The Studio Ontology Framework. G Fazekas, MB Sandler ISMIR, 471-476, 2011	59	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	59	2010
Open Multitrack Testbed B De Man, M Mora-Mcginity, G Fazekas, JD Reiss AES Convention, 2014	52	2014
Knowledge Representation Issues in Musical Instrument Ontology Design. S Kolozali, G Fazekas, M Barthet, MB Sandler ISMIR, 465-470, 2011	51	2011
Explaining deep convolutional neural networks on music classification K Choi, G Fazekas, M Sandler arXiv preprint arXiv:1607.02444, 2016	50	2016
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	48	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	48	2018
The internet of musical things ontology L Turchet, F Antoniazzi, F Viola, F Giunchiglia, G Fazekas Journal of Web Semantics 60, 100548, 2020	40	2020
An Ontology for Audio Features. A Allik, G Fazekas, MB Sandler ISMIR, 73-79, 2016	40	2016
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	39	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	37	2015

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors