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
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
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
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
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
Classifier calibration: a survey on how to assess and improve predicted class probabilities
T Silva Filho, H Song, M Perello-Nieto, R Santos-Rodriguez, M Kull, ...
Machine Learning 112 (9), 3211-3260, 2023
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
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
Q-learning decision transformer: Leveraging dynamic programming for conditional sequence modelling in offline RL
T Yamagata, A Khalil, R Santos-Rodriguez
40th International Conference on Machine Learning (ICML), 2023
bLIMEy: surrogate prediction explanations beyond LIME
K Sokol, A Hepburn, R Santos-Rodriguez, P Flach
arXiv preprint arXiv:1910.13016, 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
FAT Forensics: A Python toolbox for algorithmic fairness, accountability and transparency
K Sokol, R Santos-Rodriguez, P Flach
Software Impacts, 100406, 2022
Conditional t-SNE: more informative t-SNE embeddings
B Kang, DG García, J Lijffijt, R Santos-Rodríguez, T De Bie
Machine Learning, 1-36, 2021
OPERAnet, a multimodal activity recognition dataset acquired from radio frequency and vision-based sensors
MJ Bocus, W Li, S Vishwakarma, R Kou, C Tang, K Woodbridge, ...
Scientific data 9 (1), 474, 2022
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
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
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
Self-play Learning Strategies for Resource Assignment in Open-RAN Networks
X Wang, JD Thomas, RJ Piechocki, S Kapoor, R Santos-Rodriguez, ...
Computer Networks, 2022
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