Raúl Santos-Rodríguez
Citado por
Citado por
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
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
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, 2021
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
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
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
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
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
Human activity recognition based on dynamic active learning
H Bi, M Perello-Nieto, R Santos-Rodriguez, P Flach
IEEE Journal of Biomedical and Health Informatics 25 (4), 922-934, 2020
bLIMEy: surrogate prediction explanations beyond LIME
K Sokol, A Hepburn, R Santos-Rodriguez, P Flach
arXiv preprint arXiv:1910.13016, 2019
On-Board Feature Extraction from Acceleration Data for Activity Recognition
A Elsts, R McConville, X Fafoutis, N Twomey, RJ Piechocki, ...
EWSN, 163-168, 2018
FAT Forensics: A Python toolbox for algorithmic fairness, accountability and transparency
K Sokol, R Santos-Rodriguez, P Flach
Software Impacts, 100406, 2022
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
Cost-sensitive learning based on Bregman divergences
R Santos-Rodriguez, A Guerrero-Curieses, R Alaiz-Rodríguez, ...
Machine Learning 76, 271-285, 2009
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
Consistency of losses for learning from weak labels
J Cid-Sueiro, D García-García, R Santos-Rodríguez
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2014
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
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
SICA: subjectively interesting component analysis
B Kang, J Lijffijt, R Santos-Rodríguez, T De Bie
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016
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Artículos 1–20