Raúl Santos-Rodríguez
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Automatic chord estimation from audio: A review of the state of the art
M McVicar, R Santos-Rodríguez, Y Ni, T De Bie
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP) 22 (2 …, 2014
An end-to-end machine learning system for harmonic analysis of music
Y Ni, M McVicar, R Santos-Rodriguez, T De Bie
IEEE Transactions on Audio, Speech, and Language Processing 20 (6), 1771-1783, 2012
FACE: Feasible and actionable counterfactual explanations
R Poyiadzi, K Sokol, R Santos-Rodriguez, T De Bie, P Flach
Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 344-350, 2020
Hit song science once again a science
Y Ni, R Santos-Rodriguez, M Mcvicar, T De Bie
4th International Workshop on Machine Learning and Music, 2011
Understanding effects of subjectivity in measuring chord estimation accuracy
Y Ni, M McVicar, R Santos-Rodriguez, T De Bie
IEEE Transactions on Audio, Speech, and Language Processing 21 (12), 2607-2615, 2013
Towards a decision support tool for intensive care discharge: machine learning algorithm development using electronic healthcare data from MIMIC-III and Bristol, UK
CJ McWilliams, DJ Lawson, R Santos-Rodriguez, ID Gilchrist, ...
BMJ open 9 (3), e025925, 2019
Cost-sensitive classification based on Bregman divergences for medical diagnosis
R Santos-Rodríguez, D García-García, J Cid-Sueiro
2009 International Conference on Machine Learning and Applications, 551-556, 2009
N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding
R McConville, R Santos-Rodriguez, R Piechocki, I Craddock
IEEE International Conference on Pattern Recognition, 2020
Cost-sensitive learning based on Bregman divergences
R Santos-Rodríguez, A Guerrero-Curieses, R Alaiz-Rodríguez, ...
Machine Learning 76 (2-3), 271-285, 2009
Residential wearable rssi and accelerometer measurements with detailed location annotations
D Byrne, M Kozlowski, R Santos-Rodriguez, R Piechocki, I Craddock
Scientific data 5 (1), 1-14, 2018
On-Board Feature Extraction from Acceleration Data for Activity Recognition
A Elsts, R McConville, X Fafoutis, N Twomey, RJ Piechocki, ...
EWSN, 163-168, 2018
Sphere in a box: Practical and scalable eurvalve activity monitoring smart home kit
J Pope, R McConville, M Kozlowski, X Fafoutis, R Santos-Rodriguez, ...
2017 IEEE 42nd Conference on Local Computer Networks Workshops (LCN …, 2017
Leveraging Noisy Online Databases for Use in Chord Recognition.
M McVicar, Y Ni, T De Bie, R Santos-Rodriguez
ISMIR, 639-644, 2011
Understanding the quality of calibrations for indoor localisation
R McConville, D Byrne, I Craddock, R Piechocki, J Pope, ...
2018 IEEE 4th World Forum on Internet of Things (WF-IoT), 676-681, 2018
Using Hyper-genre Training to Explore Genre Information for Automatic Chord Estimation.
Y Ni, M McVicar, R Santos-Rodriguez, T De Bie
ISMIR, 109-114, 2012
Risk-based generalizations of f-divergences
D García-García, U von Luxburg, R Santos-Rodríguez
Proceedings of the 28th International Conference on Machine Learning, ICML …, 2011
Subjectively interesting component analysis: data projections that contrast with prior expectations
B Kang, J Lijffijt, R Santos-Rodríguez, T De Bie
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016
Consistency of losses for learning from weak labels
J Cid-Sueiro, D García-García, R Santos-Rodríguez
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2014
Spatial/spectral information trade-off in hyperspectral images
V Laparra, R Santos-Rodríguez
2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2015
Using online chord databases to enhance chord recognition
M McVicar, Y Ni, R Santos-Rodriguez, T De Bie
Journal of New Music Research 40 (2), 139-152, 2011
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