Raúl Santos-Rodríguez

About Raúl Santos-Rodríguez

Raúl Santos-Rodríguez, With an exceptional h-index of 21 and a recent h-index of 20 (since 2020), a distinguished researcher at University of Bristol, specializes in the field of Machine learning, Data science, Artificial Intelligence, Music information retrieval, Healthcare.

His recent articles reflect a diverse array of research interests and contributions to the field:

An Interactive Human-Machine Learning Interface for Collecting and Learning from Complex Annotations

Safe and Robust Reinforcement Learning: Principles and Practice

Evaluating Perceptual Distances by Fitting Binomial Distributions to Two-Alternative Forced Choice Data

Hypothesis Testing for Class-Conditional Noise Using Local Maximum Likelihood

The Use of Home-Based Behaviours for Detecting Early Dementia: Protocol for the CUBOId Study

Typicality-based point OOD detection with contrastive learning

TraCE: Trajectory Counterfactual Explanation Scores

Strategies for engaging clinical participants in the co-design of software for healthcare domains

Raúl Santos-Rodríguez Information

University

Position

___

Citations(all)

1961

Citations(since 2020)

1551

Cited By

793

hIndex(all)

21

hIndex(since 2020)

20

i10Index(all)

52

i10Index(since 2020)

42

Email

University Profile Page

Google Scholar

Raúl Santos-Rodríguez Skills & Research Interests

Machine learning

Data science

Artificial Intelligence

Music information retrieval

Healthcare

Top articles of Raúl Santos-Rodríguez

An Interactive Human-Machine Learning Interface for Collecting and Learning from Complex Annotations

arXiv preprint arXiv:2403.19339

2024/3/28

Alexander Hepburn
Alexander Hepburn

H-Index: 3

Raúl Santos-Rodríguez
Raúl Santos-Rodríguez

H-Index: 13

Safe and Robust Reinforcement Learning: Principles and Practice

2024/3/27

Evaluating Perceptual Distances by Fitting Binomial Distributions to Two-Alternative Forced Choice Data

arXiv preprint arXiv:2403.10390

2024/3/15

Hypothesis Testing for Class-Conditional Noise Using Local Maximum Likelihood

2024/3/15

The Use of Home-Based Behaviours for Detecting Early Dementia: Protocol for the CUBOId Study

medRxiv

2024

Typicality-based point OOD detection with contrastive learning

2024

TraCE: Trajectory Counterfactual Explanation Scores

2024/1

Strategies for engaging clinical participants in the co-design of software for healthcare domains

arXiv preprint arXiv:2308.16631

2023/4/31

Deep learning for downscaling tropical cyclone rainfall

Journal of Geophysical Research: Atmospheres

2023/5/27

Towards emulated Lagrangian particle dispersion model footprints for satellite observations

EGU General Assembly Conference Abstracts

2023/5

Co-designing opportunities for Human-Centred Machine Learning in supporting Type 1 diabetes decision-making

International Journal of Human-Computer Studies

2023/5/1

Disentangling the Link Between Image Statistics and Human Perception

arXiv preprint arXiv:2303.09874

2023/3/17

A machine learning emulator for Lagrangian particle dispersion model footprints: A case study using NAME

Geoscientific Model Development

2023/4/12

A multi-sensor dataset with annotated activities of daily living recorded in a residential setting

Scientific Data

2023/3/23

Two-step counterfactual generation for OOD examples

arXiv preprint arXiv:2302.05196

2023/2/10

Interpretable Classification of Early Stage Parkinson's Disease from EEG

arXiv preprint arXiv:2301.09568

2023/1/20

Privacy in Multimodal Federated Human Activity Recognition

arXiv preprint arXiv:2305.12134

2023/1/20

Raúl Santos-Rodríguez
Raúl Santos-Rodríguez

H-Index: 13

Ryan Mcconville
Ryan Mcconville

H-Index: 8

A Time Series Approach to Parkinson’s Disease Classification from EEG

arXiv preprint arXiv

2023/1/20

When the Ground Truth is not True: Modelling Human Biases in Temporal Annotations

2023/3/13

A robust class decomposition-based approach for detecting Alzheimer’s progression

Experimental Biology and Medicine

2023/1/7

See List of Professors in Raúl Santos-Rodríguez University(University of Bristol)

Co-Authors

academic-engine