Publicaciones (100) Publicaciones de RAUL SANTOS RODRIGUEZ

2024

  1. Hypothesis Testing for Class-Conditional Noise Using Local Maximum Likelihood

    Proceedings of the AAAI Conference on Artificial Intelligence

  2. TraCE: Trajectory Counterfactual Explanation Scores

    Proceedings of Machine Learning Research

  3. Typicality-based point OOD detection with contrastive learning

    Proceedings of Machine Learning Research

2023

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

    Geoscientific Model Development, Vol. 16, Núm. 7, pp. 1997-2009

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

    Scientific Data

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

    Experimental Biology and Medicine, Vol. 248, Núm. 24, pp. 2514-2525

  4. An active semi-supervised deep learning model for human activity recognition

    Journal of Ambient Intelligence and Humanized Computing, Vol. 14, Núm. 10, pp. 13049-13065

  5. CATS: Cloud-native time-series data annotation tool for intensive care

    SoftwareX, Vol. 24

  6. Classifier calibration: a survey on how to assess and improve predicted class probabilities

    Machine Learning, Vol. 112, Núm. 9, pp. 3211-3260

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

    International Journal of Human Computer Studies, Vol. 173

  8. Deep Learning for Downscaling Tropical Cyclone Rainfall to Hazard-Relevant Spatial Scales

    Journal of Geophysical Research: Atmospheres, Vol. 128, Núm. 10

  9. Design and Evaluation of an Intensive Care Unit Dashboard Built in Response to the COVID-19 Pandemic: Semistructured Interview Study

    JMIR Human Factors, Vol. 10

  10. Explainable hierarchical clustering for patient subtyping and risk prediction

    Experimental Biology and Medicine, Vol. 248, Núm. 24, pp. 2547-2559

  11. Hypothesis Testing for Class-Conditional Label Noise

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  12. Q-learning Decision Transformer: Leveraging Dynamic Programming for Conditional Sequence Modelling in Offline RL

    Proceedings of Machine Learning Research

  13. Reconciling Training and Evaluation Objectives in Location Agnostic Surrogate Explainers

    International Conference on Information and Knowledge Management, Proceedings

  14. Understanding the Properties and Limitations of Contrastive Learning for Out-of-Distribution Detection

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  15. WHAT YOU HEAR IS WHAT YOU SEE: AUDIO QUALITY FROM IMAGE QUALITY METRICS

    Proceedings of the International Conference on Digital Audio Effects, DAFx

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

    2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2023

2022

  1. A longitudinal observational study of home-based conversations for detecting early dementia: protocol for the CUBOId TV task

    BMJ Open, Vol. 12, Núm. 11