Raúl Santos-Rodríguez

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 112

Top Venues

Publications

Jeffrey Nicholas Clark, Edward Alexander Small, Nawid Keshtmand, Michelle Wing Lam Wan, Elena Fillola Mayoral, Enrico Werner, Christopher P. Bourdeaux, Raúl Santos-Rodríguez
TraCE: Trajectory Counterfactual Explanation Scores. NLDL (2024)
Matthew Clifford, Jonathan Erskine, Alexander Hepburn, Raúl Santos-Rodríguez, Dario García-García
Learning Confidence Bounds for Classification with Imbalanced Data. CoRR (2024)
Jonathan Erskine, Matthew Clifford, Alexander Hepburn, Raúl Santos-Rodríguez
An Interactive Human-Machine Learning Interface for Collecting and Learning from Complex Annotations. CoRR (2024)
Thea Barnes, Enrico Werner, Jeffrey N. Clark, Raúl Santos-Rodríguez
Towards Personalised Patient Risk Prediction Using Temporal Hospital Data Trajectories. CoRR (2024)
Nawid Keshtmand, Raúl Santos-Rodríguez, Jonathan Lawry
Typicality-based point OOD detection with contrastive learning. NLDL (2024)
Taku Yamagata, Raúl Santos-Rodríguez
Safe and Robust Reinforcement Learning: Principles and Practice. CoRR (2024)
Weisong Yang, Rafael Poyiadzi, Niall Twomey, Raúl Santos-Rodríguez
Hypothesis Testing for Class-Conditional Noise Using Local Maximum Likelihood. AAAI (2024)
Weisong Yang, Rafael Poyiadzi, Niall Twomey, Raúl Santos-Rodríguez
Hypothesis Testing for Class-Conditional Noise Using Local Maximum Likelihood. CoRR (2023)
Taku Yamagata, Emma L. Tonkin, Benjamin Arana Sanchez, Ian Craddock, Miquel Perelló-Nieto, Raúl Santos-Rodríguez, Weisong Yang, Peter A. Flach
When the Ground Truth is not True: Modelling Human Biases in Temporal Annotations. CoRR (2023)
Ahmed Khalil, Robert J. Piechocki, Raúl Santos-Rodríguez
LL-VQ-VAE: Learnable Lattice Vector-Quantization For Efficient Representations. CoRR (2023)
Taku Yamagata, Emma L. Tonkin, Benjamin Arana Sanchez, Ian Craddock, Miquel Perelló-Nieto, Raúl Santos-Rodríguez, Weisong Yang, Peter A. Flach
When the Ground Truth is not True: Modelling Human Biases in Temporal Annotations. PerCom Workshops (2023)
Michelle W. L. Wan, Jeffrey N. Clark, Edward A. Small, Elena Fillola Mayoral, Raúl Santos-Rodríguez
Monitoring Sustainable Global Development Along Shared Socioeconomic Pathways. CoRR (2023)
Marceli Wac, Raúl Santos-Rodríguez, Christopher J. McWilliams, Christopher P. Bourdeaux
CATS: Cloud-native time-series data annotation tool for intensive care. SoftwareX 24 (2023)
Jonathan D. Thomas, Raúl Santos-Rodríguez, Mihai Anca, Robert J. Piechocki
Multi-lingual agents through multi-headed neural networks. NLDL (2023)
Alex Iacob, Pedro Porto Buarque de Gusmão, Nicholas D. Lane, Armand K. Koupai, Mohammud Junaid Bocus, Raúl Santos-Rodríguez, Robert J. Piechocki, Ryan McConville
Privacy in Multimodal Federated Human Activity Recognition. CoRR (2023)
Enrico Werner, Jeffrey N. Clark, Ranjeet S. Bhamber, Michael Ambler, Christopher P. Bourdeaux, Alexander Hepburn, Christopher J. McWilliams, Raúl Santos-Rodríguez
Identification, explanation and clinical evaluation of hospital patient subtypes. CoRR (2023)
Taku Yamagata, Ahmed Khalil, Raúl Santos-Rodríguez
Q-learning Decision Transformer: Leveraging Dynamic Programming for Conditional Sequence Modelling in Offline RL. ICML (2023)
Tashi Namgyal, Alexander Hepburn, Raúl Santos-Rodríguez, Valero Laparra, Jesus Malo
What You Hear Is What You See: Audio Quality Metrics From Image Quality Metrics. CoRR (2023)
Tashi Namgyal, Alexander Hepburn, Raúl Santos-Rodríguez, Valero Laparra, Jesus Malo
Data is Overrated: Perceptual Metrics Can Lead Learning in the Absence of Training Data. CoRR (2023)
Haixia Bi, Miquel Perelló-Nieto, Raúl Santos-Rodríguez, Peter A. Flach, Ian Craddock
An active semi-supervised deep learning model for human activity recognition. J. Ambient Intell. Humaniz. Comput. 14 (10) (2023)
Alexander Hepburn, Valero Laparra, Raúl Santos-Rodríguez, Jesús Malo
Disentangling the Link Between Image Statistics and Human Perception. CoRR (2023)
Edward A. Small, Jeffrey N. Clark, Christopher J. McWilliams, Kacper Sokol, Jeffrey Chan, Flora D. Salim, Raúl Santos-Rodríguez
Counterfactual Explanations via Locally-guided Sequential Algorithmic Recourse. CoRR (2023)
Marceli Wac, Raúl Santos-Rodríguez, Christopher J. McWilliams, Christopher P. Bourdeaux
Capturing Requirements for a Data Annotation Tool for Intensive Care: Experimental User-Centered Design Study. CoRR (2023)
Matthew Clifford, Jonathan Erskine, Alexander Hepburn, Peter A. Flach, Raúl Santos-Rodríguez
Reconciling Training and Evaluation Objectives in Location Agnostic Surrogate Explainers. CIKM (2023)
Nawid Keshtmand, Raúl Santos-Rodríguez, Jonathan Lawry
Two-step counterfactual generation for OOD examples. CoRR (2023)
Katarzyna Stawarz, Dmitri S. Katz, Amid Ayobi, Paul Marshall, Taku Yamagata, Raúl Santos-Rodríguez, Peter A. Flach, Aisling Ann O'Kane
Co-designing opportunities for Human-Centred Machine Learning in supporting Type 1 diabetes decision-making. Int. J. Hum. Comput. Stud. 173 (2023)
Maha M. Alwuthaynani, Zahraa S. Abdallah, Raúl Santos-Rodríguez
Transfer Learning and Class Decomposition for Detecting the Cognitive Decline of Alzheimer Disease. CoRR (2023)
Tashi Namgyal, Peter A. Flach, Raúl Santos-Rodríguez
MIDI-Draw: Sketching to Control Melody Generation. CoRR (2023)
Telmo de Menezes e Silva Filho, Hao Song, Miquel Perelló-Nieto, Raúl Santos-Rodríguez, Meelis Kull, Peter A. Flach
Classifier calibration: a survey on how to assess and improve predicted class probabilities. Mach. Learn. 112 (9) (2023)
Armand K. Koupai, Mohammud Junaid Bocus, Raúl Santos-Rodríguez, Robert J. Piechocki, Ryan McConville
Self-supervised multimodal fusion transformer for passive activity recognition. IET Wirel. Sens. Syst. 12 (5-6) (2022)
Ricardo Kleinlein, Alexander Hepburn, Raúl Santos-Rodríguez, Fernando Fernández Martínez
Sampling Based On Natural Image Statistics Improves Local Surrogate Explainers. BMVC (2022)
Nawid Keshtmand, Raúl Santos-Rodríguez, Jonathan Lawry
Understanding the properties and limitations of contrastive learning for Out-of-Distribution detection. CoRR (2022)
Rafael Poyiadzi, Daniel Bacaicoa-Barber, Jesús Cid-Sueiro, Miquel Perelló-Nieto, Peter A. Flach, Raúl Santos-Rodríguez
The Weak Supervision Landscape. PerCom Workshops (2022)
Jonas Paulavicius, Seifallah Jardak, Ryan McConville, Robert J. Piechocki, Raúl Santos-Rodríguez
Temporal Self-Supervised Learning for RSSI-based Indoor Localization. ICC (2022)
Armand K. Koupai, Mohammud Junaid Bocus, Raúl Santos-Rodríguez, Robert J. Piechocki, Ryan McConville
Self-Supervised Multimodal Fusion Transformer for Passive Activity Recognition. CoRR (2022)
Rafael Poyiadzi, Daniel Bacaicoa-Barber, Jesús Cid-Sueiro, Miquel Perelló-Nieto, Peter A. Flach, Raúl Santos-Rodríguez
The Weak Supervision Landscape. CoRR (2022)
Taku Yamagata, Ahmed Khalil, Raúl Santos-Rodríguez
Q-learning Decision Transformer: Leveraging Dynamic Programming for Conditional Sequence Modelling in Offline RL. CoRR (2022)
Nawid Keshtmand, Raúl Santos-Rodríguez, Jonathan Lawry
Understanding the Properties and Limitations of Contrastive Learning for Out-of-Distribution Detection. ICPR Workshops (1) (2022)
Jonas Schulz, Raúl Santos-Rodríguez, Rafael Poyiadzi
Uncertainty Quantification of Surrogate Explanations: an Ordinal Consensus Approach. NLDL (2022)
Kacper Sokol, Alexander Hepburn, Raúl Santos-Rodríguez, Peter Flach
What and How of Machine Learning Transparency: Building Bespoke Explainability Tools with Interoperable Algorithmic Components. CoRR (2022)
Xiaoyang Wang, Jonathan D. Thomas, Robert J. Piechocki, Shipra Kapoor, Raúl Santos-Rodríguez, Arjun Parekh
Self-play learning strategies for resource assignment in Open-RAN networks. Comput. Networks 206 (2022)
Taku Yamagata, Raúl Santos-Rodríguez, Robert J. Piechocki, Peter A. Flach
Understanding Reinforcement Learning Based Localisation as a Probabilistic Inference Algorithm. ICANN (2) (2022)
Mohammud Junaid Bocus, Hok-Shing Lau, Ryan McConville, Robert J. Piechocki, Raúl Santos-Rodríguez
Self-Supervised WiFi-Based Activity Recognition. GLOBECOM (Workshops) (2022)
Kacper Sokol, Raúl Santos-Rodríguez, Peter A. Flach
FAT Forensics: A Python toolbox for algorithmic fairness, accountability and transparency. Softw. Impacts 14 (2022)
Kacper Sokol, Alexander Hepburn, Rafael Poyiadzi, Matthew Clifford, Raúl Santos-Rodríguez, Peter A. Flach
FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive Systems. CoRR (2022)
Ricardo Kleinlein, Alexander Hepburn, Raúl Santos-Rodríguez, Fernando Fernández Martínez
Sampling Based On Natural Image Statistics Improves Local Surrogate Explainers. CoRR (2022)
Rafael Poyiadzi, Weisong Yang, Niall Twomey, Raúl Santos-Rodríguez
Hypothesis Testing for Class-Conditional Label Noise. ECML/PKDD (3) (2022)
Alexander Hepburn, Valero Laparra, Raúl Santos-Rodríguez, Johannes Ballé, Jesus Malo
On the relation between statistical learning and perceptual distances. ICLR (2022)
Rafael Poyiadzi, Weisong Yang, Niall Twomey, Raúl Santos-Rodríguez
Statistical Hypothesis Testing for Class-Conditional Label Noise. CoRR (2021)
Ryan McConville, Gareth Archer, Ian Craddock, Michal Kozlowski, Robert J. Piechocki, James Pope, Raúl Santos-Rodríguez
Vesta: A digital health analytics platform for a smart home in a box. Future Gener. Comput. Syst. 114 (2021)
Alexander Hepburn, Raúl Santos-Rodríguez
Explainers in the Wild: Making Surrogate Explainers Robust to Distortions Through Perception. ICIP (2021)
Rafael Poyiadzi, Xavier Renard, Thibault Laugel, Raúl Santos-Rodríguez, Marcin Detyniecki
On the overlooked issue of defining explanation objectives for local-surrogate explainers. CoRR (2021)
J. D. Thomas, Raúl Santos-Rodríguez, Robert J. Piechocki, M. Anca
Multi-lingual agents through multi-headed neural networks. CoRR (2021)
Daniel Bacaicoa-Barber, Miquel Perelló-Nieto, Raúl Santos-Rodríguez, Jesús Cid-Sueiro
On the Selection of Loss Functions Under Known Weak Label Models. ICANN (2) (2021)
Jonas Schulz, Rafael Poyiadzi, Raúl Santos-Rodríguez
Uncertainty Quantification of Surrogate Explanations: an Ordinal Consensus Approach. CoRR (2021)
Telmo de Menezes e Silva Filho, Hao Song, Miquel Perelló-Nieto, Raúl Santos-Rodríguez, Meelis Kull, Peter A. Flach
Classifier Calibration: How to assess and improve predicted class probabilities: a survey. CoRR (2021)
Taku Yamagata, Ryan McConville, Raúl Santos-Rodríguez
Reinforcement Learning with Feedback from Multiple Humans with Diverse Skills. CoRR (2021)
Rafael Poyiadzi, Xavier Renard, Thibault Laugel, Raúl Santos-Rodríguez, Marcin Detyniecki
Understanding surrogate explanations: the interplay between complexity, fidelity and coverage. CoRR (2021)
Hok-Shing Lau, Ryan McConville, Mohammud Junaid Bocus, Robert J. Piechocki, Raúl Santos-Rodríguez
Self-Supervised WiFi-Based Activity Recognition. CoRR (2021)
Bo Kang, Dario García-García, Jefrey Lijffijt, Raúl Santos-Rodríguez, Tijl De Bie
Conditional t-SNE: more informative t-SNE embeddings. Mach. Learn. 110 (10) (2021)
Amid Ayobi, Katarzyna Stawarz, Dmitri S. Katz, Paul Marshall, Taku Yamagata, Raúl Santos-Rodríguez, Peter A. Flach, Aisling Ann O'Kane
Machine Learning Explanations as Boundary Objects: How AI Researchers Explain and Non-Experts Perceive Machine Learning. IUI Workshops (2021)
Amid Ayobi, Katarzyna Stawarz, Dmitri S. Katz, Paul Marshall, Taku Yamagata, Raúl Santos-Rodríguez, Peter A. Flach, Aisling Ann O'Kane
Co-Designing Personal Health? Multidisciplinary Benefits and Challenges in Informing Diabetes Self-Care Technologies. Proc. ACM Hum. Comput. Interact. 5 (CSCW2) (2021)
Alexander Hepburn, Valero Laparra, Raúl Santos-Rodríguez, Johannes Ballé, Jesús Malo
On the relation between statistical learning and perceptual distances. CoRR (2021)
Haixia Bi, Miquel Perelló-Nieto, Raúl Santos-Rodríguez, Peter A. Flach
Human Activity Recognition Based on Dynamic Active Learning. IEEE J. Biomed. Health Informatics 25 (4) (2021)
Xiaoyang Wang, Jonathan D. Thomas, Robert J. Piechocki, Shipra Kapoor, Raúl Santos-Rodríguez, Arjun Parekh
Self-play Learning Strategies for Resource Assignment in Open-RAN Networks. CoRR (2021)
Alexander Hepburn, Raúl Santos-Rodríguez
Explainers in the Wild: Making Surrogate Explainers Robust to Distortions through Perception. CoRR (2021)
Bo Kang, Dario García-García, Jefrey Lijffijt, Raúl Santos-Rodríguez, Tijl De Bie
Conditional t-SNE: More informative t-SNE embeddings. DSAA (2021)
Taku Yamagata, Aisling Ann O'Kane, Amid Ayobi, Dmitri S. Katz, Katarzyna Stawarz, Paul Marshall, Peter A. Flach, Raúl Santos-Rodríguez
Model-Based Reinforcement Learning for Type 1Diabetes Blood Glucose Control. CoRR (2020)
Rafael Poyiadzi, Kacper Sokol, Raúl Santos-Rodríguez, Tijl De Bie, Peter A. Flach
FACE: Feasible and Actionable Counterfactual Explanations. AIES (2020)
Haixia Bi, Raúl Santos-Rodríguez, Peter A. Flach
Polsar Image Classification via Robust Low-Rank Feature Extraction and Markov Random Field. IGARSS (2020)
Rafael Poyiadzi, Weisong Yang, Yoav Ben-Shlomo, Ian Craddock, Liz Coulthard, Raúl Santos-Rodríguez, James Selwood, Niall Twomey
Detecting Signatures of Early-stage Dementia with Behavioural Models Derived from Sensor Data. AAI4H@ECAI (2020)
Taku Yamagata, Aisling Ann O'Kane, Amid Ayobi, Dmitri S. Katz, Katarzyna Stawarz, Paul Marshall, Peter A. Flach, Raúl Santos-Rodríguez
Model-Based Reinforcement Learning for Type 1 Diabetes Blood Glucose Control. AAI4H@ECAI (2020)
Miquel Perelló-Nieto, Raúl Santos-Rodríguez, Dario García-García, Jesús Cid-Sueiro
Recycling weak labels for multiclass classification. Neurocomputing 400 (2020)
Juan Emmanuel Johnson, Valero Laparra, Gustau Camps-Valls, Raúl Santos-Rodríguez, Jesús Malo
Information Theory in Density Destructors. CoRR (2020)
Alexander Hepburn, Valero Laparra, Jesús Malo, Ryan McConville, Raúl Santos-Rodríguez
Perceptnet: A Human Visual System Inspired Neural Network For Estimating Perceptual Distance. ICIP (2020)
Rafael Poyiadzi, Weisong Yang, Yoav Ben-Shlomo, Ian Craddock, Liz Coulthard, Raúl Santos-Rodríguez, James Selwood, Niall Twomey
Detecting Signatures of Early-stage Dementia with Behavioural Models Derived from Sensor Data. CoRR (2020)
Valero Laparra, Juan Emmanuel Johnson, Gustau Camps-Valls, Raúl Santos-Rodríguez, Jesus Malo
Information Theory Measures via Multidimensional Gaussianization. CoRR (2020)
Ryan McConville, Raúl Santos-Rodríguez, Robert J. Piechocki, Ian Craddock
N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding. ICPR (2020)
Kacper Sokol, Alexander Hepburn, Rafael Poyiadzi, Matthew Clifford, Raúl Santos-Rodríguez, Peter A. Flach
FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive Systems. J. Open Source Softw. 5 (49) (2020)
Niall Twomey, Michal Kozlowski, Raúl Santos-Rodríguez
Neural ODEs with Stochastic Vector Field Mixtures. ECAI (2020)
Mohammud Junaid Bocus, Wenda Li, Jonas Paulavicius, Ryan McConville, Raúl Santos-Rodríguez, Kevin Chetty, Robert J. Piechocki
Translation Resilient Opportunistic WiFi Sensing. ICPR (2020)
Alexander Hepburn, Valero Laparra, Ryan McConville, Raúl Santos-Rodríguez
Enforcing perceptual consistency on Generative Adversarial Networks by using the Normalised Laplacian Pyramid Distance. NLDL (2020)
Mohammud Junaid Bocus, Jonas Paulavicius, Ryan McConville, Raúl Santos-Rodríguez, Robert J. Piechocki
Low Cost Localisation in Residential Environments using High Resolution CIR Information. GLOBECOM (2020)
Alexander Hepburn, Valero Laparra, Jesús Malo, Ryan McConville, Raúl Santos-Rodríguez
PerceptNet: A Human Visual System Inspired Neural Network for Estimating Perceptual Distance. CoRR (2019)
Taku Yamagata, Raúl Santos-Rodríguez, Ryan McConville, Atis Elsts
Online Feature Selection for Activity Recognition using Reinforcement Learning with Multiple Feedback. CoRR (2019)
Bo Kang, Dario García-García, Jefrey Lijffijt, Raúl Santos-Rodríguez, Tijl De Bie
Conditional t-SNE: Complementary t-SNE embeddings through factoring out prior information. CoRR (2019)
Kacper Sokol, Alexander Hepburn, Raúl Santos-Rodríguez, Peter A. Flach
bLIMEy: Surrogate Prediction Explanations Beyond LIME. CoRR (2019)
Michal Kozlowski, Raúl Santos-Rodríguez, Robert J. Piechocki
Sensor Modalities and Fusion for Robust Indoor Localisation. EAI Endorsed Trans. Ambient Syst. 6 (18) (2019)
Rafael Poyiadzi, Raúl Santos-Rodríguez, Niall Twomey
Active Learning with Label Proportions. ICASSP (2019)
Niall Twomey, Rafael Poyiadzi, Callum Mann, Raúl Santos-Rodríguez
Ordinal Regression as Structured Classification. CoRR (2019)
Ryan McConville, Raúl Santos-Rodríguez, Robert J. Piechocki, Ian Craddock
N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding. CoRR (2019)
Alexander Hepburn, Valero Laparra, Ryan McConville, Raúl Santos-Rodríguez
Enforcing Perceptual Consistency on Generative Adversarial Networks by Using the Normalised Laplacian Pyramid Distance. CoRR (2019)
Kacper Sokol, Raúl Santos-Rodríguez, Peter A. Flach
FAT Forensics: A Python Toolbox for Algorithmic Fairness, Accountability and Transparency. CoRR (2019)
Xiaoyang Wang, Ioannis Mavromatis, Andrea Tassi, Raúl Santos-Rodríguez, Robert J. Piechocki
Location Anomalies Detection for Connected and Autonomous Vehicles. CAVS (2019)
Pablo Morales-Alvarez, Pablo Ruiz, Raúl Santos-Rodríguez, Rafael Molina, Aggelos K. Katsaggelos
Scalable and efficient learning from crowds with Gaussian processes. Inf. Fusion 52 (2019)
Xiaoyang Wang, Ioannis Mavromatis, Andrea Tassi, Raúl Santos-Rodríguez, Robert J. Piechocki
Location Anomalies Detection for Connected and Autonomous Vehicles. CoRR (2019)
Niall Twomey, Michal Kozlowski, Raúl Santos-Rodríguez
Neural ODEs with stochastic vector field mixtures. CoRR (2019)
Michal Kozlowski, Dallan Byrne, Raúl Santos-Rodríguez, Robert J. Piechocki
Data fusion for robust indoor localisation in digital health. WCNC Workshops (2018)
Michal Kozlowski, Ryan McConville, Raúl Santos-Rodríguez, Robert J. Piechocki
Energy Efficiency in Reinforcement Learning for Wireless Sensor Networks. CoRR (2018)
Ryan McConville, Raúl Santos-Rodríguez, Niall Twomey
Person Identification and Discovery With Wrist Worn Accelerometer Data. ESANN (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Raúl Santos-Rodríguez