| 2026 | ACL | Teaching Language Models to Check Grounded Claim Factuality with Human Test-Taking Strategies. | Yuxuan Ye, Ral Santos-Rodrguez, Edwin Simpson |
| 2025 | EMNLP | Optimising Factual Consistency in Summarisation via Preference Learning from Multiple Imperfect Metrics. | Yuxuan Ye, Ral Santos-Rodrguez, Edwin Simpson |
| 2025 | ESANN | Direct versus intermediate multi-task transfer learning for dementia detection from unstructured conversations. | Dan Kumpik, Yoav Ben-Shlomo, Elizabeth Coulthard, Alexander Hepburn, Ral Santos-Rodrguez |
| 2024 | AAAI | Hypothesis Testing for Class-Conditional Noise Using Local Maximum Likelihood. | Weisong Yang, Rafael Poyiadzi, Niall Twomey, Ral Santos-Rodrguez |
| 2024 | ECAI | Learning Confidence Bounds for Classification with Imbalanced Data. | Matthew Clifford, Jonathan Erskine, Alexander Hepburn, Ral Santos-Rodrguez, Dario Garca-Garca |
| 2024 | IJCAI | An Interactive Human-Machine Learning Interface for Collecting and Learning from Complex Annotations. | Jonathan Erskine, Matthew Clifford, Alexander Hepburn, Ral Santos-Rodrguez |
| 2023 | CIKM | Reconciling Training and Evaluation Objectives in Location Agnostic Surrogate Explainers. | Matthew Clifford, Jonathan Erskine, Alexander Hepburn, Peter A. Flach, Ral Santos-Rodrguez |
| 2023 | ICML | Q-learning Decision Transformer: Leveraging Dynamic Programming for Conditional Sequence Modelling in Offline RL. | Taku Yamagata, Ahmed Khalil, Ral Santos-Rodrguez |
| 2023 | PERCOM | When the Ground Truth is not True: Modelling Human Biases in Temporal Annotations. | Taku Yamagata, Emma L. Tonkin, Benjamin Arana Sanchez, Ian Craddock, Miquel Perell-Nieto, Ral Santos-Rodrguez, Weisong Yang, Peter A. Flach |
| 2022 | BMVC | Sampling Based On Natural Image Statistics Improves Local Surrogate Explainers. | Ricardo Kleinlein, Alexander Hepburn, Ral Santos-Rodrguez, Fernando Fernndez Martnez |
| 2022 | GLOBECOM | Self-Supervised WiFi-Based Activity Recognition. | Mohammud Junaid Bocus, Hok-Shing Lau, Ryan McConville, Robert J. Piechocki, Ral Santos-Rodrguez |
| 2022 | ICANN | Understanding Reinforcement Learning Based Localisation as a Probabilistic Inference Algorithm. | Taku Yamagata, Ral Santos-Rodrguez, Robert J. Piechocki, Peter A. Flach |
| 2022 | ICLR | On the relation between statistical learning and perceptual distances. | Alexander Hepburn, Valero Laparra, Ral Santos-Rodrguez, Johannes Ball, Jesus Malo |
| 2022 | ICPR | Understanding the Properties and Limitations of Contrastive Learning for Out-of-Distribution Detection. | Nawid Keshtmand, Ral Santos-Rodrguez, Jonathan Lawry |
| 2022 | PERCOM | The Weak Supervision Landscape. | Rafael Poyiadzi, Daniel Bacaicoa-Barber, Jess Cid-Sueiro, Miquel Perell-Nieto, Peter A. Flach, Ral Santos-Rodrguez |
| 2021 | DSAA | Conditional t-SNE: More informative t-SNE embeddings. | Bo Kang, Dario Garca-Garca, Jefrey Lijffijt, Ral Santos-Rodrguez, Tijl De Bie |
| 2021 | ICANN | On the Selection of Loss Functions Under Known Weak Label Models. | Daniel Bacaicoa-Barber, Miquel Perell-Nieto, Ral Santos-Rodrguez, Jess Cid-Sueiro |
| 2021 | ICIP | Explainers in the Wild: Making Surrogate Explainers Robust to Distortions Through Perception. | Alexander Hepburn, Ral Santos-Rodrguez |
| 2021 | IUI | Machine Learning Explanations as Boundary Objects: How AI Researchers Explain and Non-Experts Perceive Machine Learning. | Amid Ayobi, Katarzyna Stawarz, Dmitri S. Katz, Paul Marshall, Taku Yamagata, Ral Santos-Rodrguez, Peter A. Flach, Aisling Ann O'Kane |
| 2020 | AIES | FACE: Feasible and Actionable Counterfactual Explanations. | Rafael Poyiadzi, Kacper Sokol, Ral Santos-Rodrguez, Tijl De Bie, Peter A. Flach |
| 2020 | ECAI | Detecting Signatures of Early-stage Dementia with Behavioural Models Derived from Sensor Data. | Rafael Poyiadzi, Weisong Yang, Yoav Ben-Shlomo, Ian Craddock, Liz Coulthard, Ral Santos-Rodrguez, James Selwood, Niall Twomey |
| 2020 | ECAI | Neural ODEs with Stochastic Vector Field Mixtures. | Niall Twomey, Michal Kozlowski, Ral Santos-Rodrguez |
| 2020 | ECAI | Model-Based Reinforcement Learning for Type 1 Diabetes Blood Glucose Control. | Taku Yamagata, Aisling Ann O'Kane, Amid Ayobi, Dmitri S. Katz, Katarzyna Stawarz, Paul Marshall, Peter A. Flach, Ral Santos-Rodrguez |
| 2020 | GLOBECOM | Low Cost Localisation in Residential Environments using High Resolution CIR Information. | Mohammud Junaid Bocus, Jonas Paulavicius, Ryan McConville, Ral Santos-Rodrguez, Robert J. Piechocki |
| 2020 | ICIP | Perceptnet: A Human Visual System Inspired Neural Network For Estimating Perceptual Distance. | Alexander Hepburn, Valero Laparra, Jess Malo, Ryan McConville, Ral Santos-Rodrguez |
| 2020 | ICPR | Translation Resilient Opportunistic WiFi Sensing. | Mohammud Junaid Bocus, Wenda Li, Jonas Paulavicius, Ryan McConville, Ral Santos-Rodrguez, Kevin Chetty, Robert J. Piechocki |
| 2020 | ICPR | N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding. | Ryan McConville, Ral Santos-Rodrguez, Robert J. Piechocki, Ian Craddock |
| 2020 | IGARSS | Polsar Image Classification via Robust Low-Rank Feature Extraction and Markov Random Field. | Haixia Bi, Ral Santos-Rodrguez, Peter A. Flach |
| 2019 | ICASSP | Active Learning with Label Proportions. | Rafael Poyiadzi, Ral Santos-Rodrguez, Niall Twomey |
| 2018 | ESANN | Person Identification and Discovery With Wrist Worn Accelerometer Data. | Ryan McConville, Ral Santos-Rodrguez, Niall Twomey |
| 2018 | ESANN | Efficient approximate representations for computationally expensive features. | Ral Santos-Rodrguez, Niall Twomey |
| 2018 | WCNC | Data fusion for robust indoor localisation in digital health. | Michal Kozlowski, Dallan Byrne, Ral Santos-Rodrguez, Robert J. Piechocki |
| 2017 | IDA | Adapting Supervised Classification Algorithms to Arbitrary Weak Label Scenarios. | Miquel Perell-Nieto, Ral Santos-Rodrguez, Jess Cid-Sueiro |
| 2017 | IDA | Hierarchical Novelty Detection. | Paolo Simeone, Ral Santos-Rodrguez, Matt McVicar, Jefrey Lijffijt, Tijl De Bie |
| 2017 | LCN | SPHERE in a Box: Practical and Scalable EurValve Activity Monitoring Smart Home Kit. | James Pope, Ryan McConville, Michal Kozlowski, Xenofon Fafoutis, Ral Santos-Rodrguez, Robert J. Piechocki, Ian Craddock |
| 2016 | ESANN | Informative data projections: a framework and two examples. | Tijl De Bie, Jefrey Lijffijt, Ral Santos-Rodrguez, Bo Kang |
| 2015 | IGARSS | Spatial/spectral information trade-off in hyperspectral images. | Valero Laparra, Ral Santos-Rodrguez |
| 2011 | ICASSP | Sphere packing for clustering sets of vectors in feature space. | Dario Garca-Garca, Ral Santos-Rodrguez |
| 2011 | ICML | Risk-Based Generalizations of f-divergences. | Dario Garca-Garca, Ulrike von Luxburg, Ral Santos-Rodrguez |
| 2010 | ICDM | Cost-Sensitive Feature Selection Based on the Set Covering Machine. | Ral Santos-Rodrguez, Dario Garca-Garca |
| 2009 | ICMLA | Spectral Clustering and Feature Selection for Microarray Data. | Dario Garca-Garca, Ral Santos-Rodrguez |
| 2009 | ICMLA | Cost-Sensitive Classification Based on Bregman Divergences for Medical Diagnosis. | Ral Santos-Rodrguez, Dario Garca-Garca, Jess Cid-Sueiro |