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Raúl Santos-Rodríguez
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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
1282020
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
1022014
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
892012
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
602011
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
492020
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
472013
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
432019
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
362009
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
272018
On-Board Feature Extraction from Acceleration Data for Activity Recognition
A Elsts, R McConville, X Fafoutis, N Twomey, RJ Piechocki, ...
EWSN, 163-168, 2018
252018
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
232017
Cost-sensitive learning based on Bregman divergences
R Santos-Rodríguez, A Guerrero-Curieses, R Alaiz-Rodríguez, ...
Machine Learning 76 (2), 271-285, 2009
222009
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
202014
bLIMEy: surrogate prediction explanations beyond LIME
K Sokol, A Hepburn, R Santos-Rodriguez, P Flach
arXiv preprint arXiv:1910.13016, 2019
19*2019
Leveraging Noisy Online Databases for Use in Chord Recognition.
M McVicar, Y Ni, T De Bie, R Santos-Rodriguez
ISMIR, 639-644, 2011
19*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
182018
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
172012
FAT Forensics: A Python toolbox for algorithmic fairness, accountability and transparency
K Sokol, R Santos-Rodriguez, P Flach
arXiv preprint arXiv:1909.05167, 2019
162019
FAT forensics: a python toolbox for implementing and deploying fairness, accountability and transparency algorithms in predictive systems
K Sokol, A Hepburn, R Poyiadzi, M Clifford, R Santos-Rodriguez, P Flach
Journal of Open Source Software 5 (49), 1904, 2020
152020
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
152011
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Articles 1–20