| StructureNet: Inducing Structure in Generated Melodies. G Medeot, S Cherla, K Kosta, M McVicar, S Abdallah, M Selvi, ... ISMIR, 725-731, 2018 | 40 | 2018 |
| Mapping between dynamic markings and performed loudness: a machine learning approach K Kosta, R Ramírez, OF Bandtlow, E Chew Journal of Mathematics and Music 10 (2), 149-172, 2016 | 33 | 2016 |
| Mazurkabl: score-aligned loudness, beat, expressive markings data for 2000 chopin mazurka recordings K Kosta, OF Bandtlow, E Chew Proceedings of the 4th International Conference on Technologies for Music …, 2018 | 26 | 2018 |
| A Study of Cultural Dependence of Perceived Mood in Greek Music. K Kosta, Y Song, G Fazekas, MB Sandler ISMIR, 317-322, 2013 | 25 | 2013 |
| Stemgen: A music generation model that listens JD Parker, J Spijkervet, K Kosta, F Yesiler, B Kuznetsov, JC Wang, ... ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 24 | 2024 |
| A deep learning method for enforcing coherence in Automatic Chord Recognition. G Micchi, K Kosta, G Medeot, P Chanquion ISMIR, 443-451, 2021 | 19 | 2021 |
| Dynamics and relativity: Practical implications of dynamic markings in the score K Kosta, OF Bandtlow, E Chew Journal of New Music Research 47 (5), 438-461, 2018 | 18 | 2018 |
| Practical implications of dynamic markings in the score: is piano always piano? K Kosta, OF Bandtlow, E Chew Audio Engineering Society Conference: 53rd International Conference …, 2014 | 17 | 2014 |
| A change-point approach towards representing musical dynamics K Kosta, OF Bandtlow, E Chew International Conference on Mathematics and Computation in Music, 179-184, 2015 | 12 | 2015 |
| Unsupervised Chord-Sequence Generation from an Audio Example. K Kosta, M Marchini, H Purwins ISMIR, 481-486, 2012 | 10 | 2012 |
| Modeling the rhythm from lyrics for melody generation of pop song D Zhang, JC Wang, K Kosta, JBL Smith, S Zhou arXiv preprint arXiv:2301.01361, 2023 | 5 | 2023 |
| Newton-Rex, and Kevin Webster. 2018. StructureNet: Inducing Structure in Generated Melodies G Medeot, S Cherla, K Kosta, M McVicar, S Abdallah, M Selvi Proceedings of the 19th International Society for Music Information …, 2019 | 5 | 2019 |
| A deep learning method for melody extraction from a polyphonic symbolic music representation. K Kosta, WT Lu, G Medeot, P Chanquion ISMIR, 757-763, 2022 | 3 | 2022 |
| Computational modelling and quantitative analysis of dynamics in performed music K Kosta Queen Mary University of London, 2017 | 3 | 2017 |
| Dynamic change points in music audio capture dynamic markings in score K Kosta, R Killick, O Bandtlow, E Chew 18th International Society for Music Information Retrieval Conference, 2017 | 3 | 2017 |
| System and method for recognising chords in music G Micchi, K Kosta, G Medeot, PN Chanquion US Patent App. 18/569,193, 2024 | | 2024 |
| Melody extraction from polyphonic symbolic music K Kosta, WT Lu US Patent App. 17/986,644, 2024 | | 2024 |
| Method of generating music data G Medeot, S Cherla, K Kosta, M MCViCAR, S Abdallah, M Selvi, ... US Patent 11,887,566, 2024 | | 2024 |
| Predicting loudness changes and classifying dynamic markings in Mazurka piano recordings K Kosta, R Ramirez, OF Bandtlow, E Chew, S Giraldo MML 2015, 22, 2015 | | 2015 |
| 2013 performance studies network international conference K Kosta, S Li Computer Music Journal 38 (2), 78-80, 2014 | | 2014 |
Oscar F. BandtlowSchool of Mathematical Sciences, Queen Mary, University of LondonOverená e-mailová adresa na: qmul.ac.uk
