Raúl Santos-Rodríguez
Orcid: 0000-0001-9576-3905Affiliations:
- University of Bristol
According to our database1,
Raúl Santos-Rodríguez
authored at least 113 papers
between 2009 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
An Interactive Human-Machine Learning Interface for Collecting and Learning from Complex Annotations.
CoRR, 2024
Evaluating Perceptual Distances by Fitting Binomial Distributions to Two-Alternative Forced Choice Data.
CoRR, 2024
Proceedings of the Northern Lights Deep Learning Conference, 2024
Proceedings of the Northern Lights Deep Learning Conference, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
SoftwareX, December, 2023
J. Ambient Intell. Humaniz. Comput., October, 2023
Classifier calibration: a survey on how to assess and improve predicted class probabilities.
Mach. Learn., September, 2023
Co-designing opportunities for Human-Centred Machine Learning in supporting Type 1 diabetes decision-making.
Int. J. Hum. Comput. Stud., May, 2023
CoRR, 2023
Data is Overrated: Perceptual Metrics Can Lead Learning in the Absence of Training Data.
CoRR, 2023
CoRR, 2023
Capturing Requirements for a Data Annotation Tool for Intensive Care: Experimental User-Centered Design Study.
CoRR, 2023
CoRR, 2023
Strategies for engaging clinical participants in the co-design of software for healthcare domains.
CoRR, 2023
CoRR, 2023
Transfer Learning and Class Decomposition for Detecting the Cognitive Decline of Alzheimer Disease.
CoRR, 2023
CoRR, 2023
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2023
Proceedings of the 2023 Northern Lights Deep Learning Workshop, 2023
Q-learning Decision Transformer: Leveraging Dynamic Programming for Conditional Sequence Modelling in Offline RL.
Proceedings of the International Conference on Machine Learning, 2023
Reconciling Training and Evaluation Objectives in Location Agnostic Surrogate Explainers.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
2022
FAT Forensics: A Python toolbox for algorithmic fairness, accountability and transparency.
Softw. Impacts, December, 2022
IET Wirel. Sens. Syst., October, 2022
What and How of Machine Learning Transparency: Building Bespoke Explainability Tools with Interoperable Algorithmic Components.
CoRR, 2022
Comput. Networks, 2022
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
Proceedings of the 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2022
Proceedings of the 2022 Northern Lights Deep Learning Workshop, 2022
Understanding the Properties and Limitations of Contrastive Learning for Out-of-Distribution Detection.
Proceedings of the Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the IEEE International Conference on Communications, 2022
Understanding Reinforcement Learning Based Localisation as a Probabilistic Inference Algorithm.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022
Proceedings of the IEEE Globecom 2022 Workshops, 2022
Proceedings of the 33rd British Machine Vision Conference 2022, 2022
Detecting and Monitoring Behavioural Patterns in Individuals with Cognitive Disorders in the Home Environment with Partial Annotations.
Proceedings of the Integrating Artificial Intelligence and IoT for Advanced Health Informatics, 2022
2021
IEEE J. Biomed. Health Informatics, 2021
Co-Designing Personal Health? Multidisciplinary Benefits and Challenges in Informing Diabetes Self-Care Technologies.
Proc. ACM Hum. Comput. Interact., 2021
Future Gener. Comput. Syst., 2021
Classifier Calibration: How to assess and improve predicted class probabilities: a survey.
CoRR, 2021
CoRR, 2021
Understanding surrogate explanations: the interplay between complexity, fidelity and coverage.
CoRR, 2021
On the overlooked issue of defining explanation objectives for local-surrogate explainers.
CoRR, 2021
Proceedings of the 19th IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2021
Machine Learning Explanations as Boundary Objects: How AI Researchers Explain and Non-Experts Perceive Machine Learning.
Proceedings of the Joint Proceedings of the ACM IUI 2021 Workshops co-located with 26th ACM Conference on Intelligent User Interfaces (ACM IUI 2021), 2021
Explainers in the Wild: Making Surrogate Explainers Robust to Distortions Through Perception.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021
2020
FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive Systems.
J. Open Source Softw., 2020
CoRR, 2020
Enforcing perceptual consistency on Generative Adversarial Networks by using the Normalised Laplacian Pyramid Distance.
Proceedings of the 2020 Northern Lights Deep Learning Workshop, 2020
Polsar Image Classification via Robust Low-Rank Feature Extraction and Markov Random Field.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Perceptnet: A Human Visual System Inspired Neural Network For Estimating Perceptual Distance.
Proceedings of the IEEE International Conference on Image Processing, 2020
Low Cost Localisation in Residential Environments using High Resolution CIR Information.
Proceedings of the IEEE Global Communications Conference, 2020
Proceedings of the First International AAI4H, 2020
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020
Detecting Signatures of Early-stage Dementia with Behavioural Models Derived from Sensor Data.
Proceedings of the First International AAI4H, 2020
Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020
2019
Inf. Fusion, 2019
Online Feature Selection for Activity Recognition using Reinforcement Learning with Multiple Feedback.
CoRR, 2019
Conditional t-SNE: Complementary t-SNE embeddings through factoring out prior information.
CoRR, 2019
EAI Endorsed Trans. Ambient Syst., 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the IEEE 2nd Connected and Automated Vehicles Symposium, 2019
2018
Pattern Recognit. Lett., 2018
CoRR, 2018
Proceedings of the 4th IEEE World Forum on Internet of Things, 2018
Proceedings of the 2018 IEEE Wireless Communications and Networking Conference Workshops, 2018
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018
Proceedings of the Second International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2018
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018
Proceedings of the 2018 International Conference on Embedded Wireless Systems and Networks, 2018
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018
2017
Proceedings of the 42nd IEEE Conference on Local Computer Networks Workshops, 2017
Proceedings of the Advances in Intelligent Data Analysis XVI, 2017
Proceedings of the Advances in Intelligent Data Analysis XVI, 2017
2016
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016
Subjectively Interesting Component Analysis: Data Projections that Contrast with Prior Expectations.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Learning to separate vocals from polyphonic mixtures via ensemble methods and structured output prediction.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016
2015
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015
2014
IEEE ACM Trans. Audio Speech Lang. Process., 2014
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014
2013
IEEE ACM Trans. Audio Speech Lang. Process., 2013
2012
IEEE Trans. Neural Networks Learn. Syst., 2012
IEEE Trans. Speech Audio Process., 2012
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012
Using Hyper-genre Training to Explore Genre Information for Automatic Chord Estimation.
Proceedings of the 13th International Society for Music Information Retrieval Conference, 2012
2011
Proceedings of the 12th International Society for Music Information Retrieval Conference, 2011
Proceedings of the 28th International Conference on Machine Learning, 2011
Proceedings of the IEEE International Conference on Acoustics, 2011
2010
Proceedings of the ICDMW 2010, 2010
2009
Proceedings of the International Conference on Machine Learning and Applications, 2009
Proceedings of the International Conference on Machine Learning and Applications, 2009