LEMON: Local Explanations via Modality-aware OptimizatioN.

Raúl Santos-Rodríguez Raúl Santos-Rodriguez University of Bristol http://seis.bristol.ac.uk/~enrsr/ https://scholar.google.com/citations?user=U_ldrLcAAAAJ https://orcid.org/0000-0001-9576-3905 https://www.wikidata.org/entity/Q90206767

Yu Qin Phillip Sloan Raúl Santos-Rodríguez Majid Mirmehdi Telmo de Menezes e Silva Filho LEMON: Local Explanations via Modality-aware OptimizatioN. 2026 February abs/2602.02786 CoRR https://doi.org/10.48550/arXiv.2602.02786 db/journals/corr/corr2602.html#abs-2602-02786 streams/journals/corr

Lincen Bai Hedi Tabia Raúl Santos-Rodríguez HiPP-Prune: Hierarchical Preference-Conditioned Structured Pruning for Vision-Language Models. 2026 March abs/2603.06270 CoRR https://doi.org/10.48550/arXiv.2603.06270 db/journals/corr/corr2603.html#abs-2603-06270 streams/journals/corr

Valero Laparra Juan Emmanuel Johnson Gustau Camps-Valls Raúl Santos-Rodríguez Jesús Malo Estimating Information Theoretic Measures via Multidimensional Gaussianization. 1293-1308 2025 February 47 IEEE Trans. Pattern Anal. Mach. Intell. 2 https://doi.org/10.1109/TPAMI.2024.3495827 db/journals/pami/pami47.html#LaparraJCSM25 streams/journals/pami

Matthew Clifford Alexander Hepburn Ricardo Kleinlein Jorge Vila-Tomás Pablo Hernández-Cámara Paula Dauden Nathan F. Lepora Valero Laparra Raúl Santos-Rodríguez IQM-Vis: A user-centric python toolbox for visualising and evaluating image quality metrics. 102225 2025 31 SoftwareX https://doi.org/10.1016/j.softx.2025.102225 db/journals/softx/softx31.html#CliffordHKVHDLLS25 streams/journals/softx

Yuxuan Ye Raúl Santos-Rodríguez Edwin Simpson Optimising Factual Consistency in Summarisation via Preference Learning from Multiple Imperfect Metrics. EMNLP (Findings) 2025 17342-17355 conf/emnlp/2025f https://aclanthology.org/2025.findings-emnlp.940/ db/conf/emnlp/emnlp2025f.html#YeSS25 streams/conf/emnlp

Nawid Keshtmand Elena Fillola Jeffrey Nicholas Clark Raúl Santos-Rodríguez Matthew Rigby Prototype-enhanced prediction in graph neural networks for climate applications. 2025 April abs/2504.17492 CoRR https://doi.org/10.48550/arXiv.2504.17492 db/journals/corr/corr2504.html#abs-2504-17492 streams/journals/corr

Amarpal Sahota Navid Mohammadi Foumani Raúl Santos-Rodríguez Zahraa S. Abdallah KnowEEG: Explainable Knowledge Driven EEG Classification. 2025 May abs/2505.00541 CoRR https://doi.org/10.48550/arXiv.2505.00541 db/journals/corr/corr2505.html#abs-2505-00541 streams/journals/corr

Finn Gueterbock Raúl Santos-Rodríguez Jeffrey N. Clark Improving Local Air Quality Predictions Using Transfer Learning on Satellite Data and Graph Neural Networks. 2025 May abs/2505.05479 CoRR https://doi.org/10.48550/arXiv.2505.05479 db/journals/corr/corr2505.html#abs-2505-05479 streams/journals/corr

Jonathan Erskine Taku Yamagata Raúl Santos-Rodríguez Active Query Selection for Crowd-Based Reinforcement Learning. 2025 August abs/2508.19132 CoRR https://doi.org/10.48550/arXiv.2508.19132 db/journals/corr/corr2508.html#abs-2508-19132 streams/journals/corr

Guanxiong Sun Majid Mirmehdi Zahraa S. Abdallah Raúl Santos-Rodríguez Ian Craddock Telmo de Menezes e Silva Filho TACTFL: Temporal Contrastive Training for Multi-modal Federated Learning with Similarity-guided Model Aggregation. 2025 September abs/2509.17532 CoRR https://doi.org/10.48550/arXiv.2509.17532 db/journals/corr/corr2509.html#abs-2509-17532 streams/journals/corr

Jeffrey N. Clark Elena Fillola Nawid Keshtmand Raúl Santos-Rodríguez Matthew Rigby Uncertainty assessment in satellite-based greenhouse gas emissions estimates using emulated atmospheric transport. 2025 October abs/2510.05751 CoRR https://doi.org/10.48550/arXiv.2510.05751 db/journals/corr/corr2510.html#abs-2510-05751 streams/journals/corr

Patricia West Michelle W. L. Wan Alexander Hepburn Edwin Simpson Raúl Santos-Rodríguez Jeffrey N. Clark Machine Learning for Climate Policy: Understanding Policy Progression in the European Green Deal. 2025 October abs/2510.16233 CoRR https://doi.org/10.48550/arXiv.2510.16233 db/journals/corr/corr2510.html#abs-2510-16233 streams/journals/corr

Raúl Santos-Rodríguez Kacper Sokol Julia E. Vogt Sven Wellmann From Research to Certification with Data-Driven Medical Decision Support Systems (Dagstuhl Seminar 25052). 201-220 2025 January 15 Dagstuhl Reports 1 https://doi.org/10.4230/DagRep.15.1.201 db/journals/dagstuhl-reports/dagstuhl-reports15.html#SantosRodriguezSVW25 streams/journals/dagstuhl-reports

Weisong Yang Rafael Poyiadzi Niall Twomey Raúl Santos-Rodríguez Hypothesis Testing for Class-Conditional Noise Using Local Maximum Likelihood. 21744-21752 2024 AAAI https://doi.org/10.1609/aaai.v38i19.30174 conf/aaai/2024 db/conf/aaai/aaai2024.html#YangPTS24 Matthew Clifford Jonathan Erskine Alexander Hepburn Raúl Santos-Rodríguez Dario García-García Learning Confidence Bounds for Classification with Imbalanced Data. 1776-1783 2024 ECAI https://doi.org/10.3233/FAIA240688 conf/ecai/2024 db/conf/ecai/ecai2024.html#CliffordEHSG24 Jonathan Erskine Matthew Clifford Alexander Hepburn Raúl Santos-Rodríguez An Interactive Human-Machine Learning Interface for Collecting and Learning from Complex Annotations. 8644-8647 2024 IJCAI https://www.ijcai.org/proceedings/2024/999 conf/ijcai/2024 db/conf/ijcai/ijcai2024.html#ErskineCHS24 Amarpal Sahota Amber Roguski Matthew W. Jones Zahraa S. Abdallah Raúl Santos-Rodríguez Investigating Brain Connectivity and Regional Statistics from EEG for Early Stage Parkinson's Classification. 1-6 2024 MLSP https://doi.org/10.1109/MLSP58920.2024.10734737 conf/mlsp/2024 db/conf/mlsp/mlsp2024.html#SahotaRJAS24 streams/conf/mlsp 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. 36-45 2024 NLDL https://proceedings.mlr.press/v233/clark24a.html conf/nldl/2024 db/conf/nldl/nldl2024.html#ClarkSKWMWBS24 Nawid Keshtmand Raúl Santos-Rodríguez Jonathan Lawry Typicality-based point OOD detection with contrastive learning. 120-129 2024 NLDL https://proceedings.mlr.press/v233/keshtmand24a.html conf/nldl/2024 db/conf/nldl/nldl2024.html#KeshtmandSL24

Alexander Hepburn Raúl Santos-Rodriguez Javier Portilla Evaluating Perceptual Distances by Fitting Binomial Distributions to Two-Alternative Forced Choice Data. 2024 abs/2403.10390 CoRR https://doi.org/10.48550/arXiv.2403.10390 db/journals/corr/corr2403.html#abs-2403-10390

Taku Yamagata Raúl Santos-Rodríguez Safe and Robust Reinforcement Learning: Principles and Practice. 2024 abs/2403.18539 CoRR https://doi.org/10.48550/arXiv.2403.18539 db/journals/corr/corr2403.html#abs-2403-18539

Jonathan Erskine Matthew Clifford Alexander Hepburn Raúl Santos-Rodríguez An Interactive Human-Machine Learning Interface for Collecting and Learning from Complex Annotations. 2024 abs/2403.19339 CoRR https://doi.org/10.48550/arXiv.2403.19339 db/journals/corr/corr2403.html#abs-2403-19339

Thea Barnes Enrico Werner Jeffrey N. Clark Raúl Santos-Rodríguez Towards Personalised Patient Risk Prediction Using Temporal Hospital Data Trajectories. 2024 abs/2407.09373 CoRR https://doi.org/10.48550/arXiv.2407.09373 db/journals/corr/corr2407.html#abs-2407-09373 streams/journals/corr

Matthew Clifford Jonathan Erskine Alexander Hepburn Raúl Santos-Rodríguez Dario García-García Learning Confidence Bounds for Classification with Imbalanced Data. 2024 abs/2407.11878 CoRR https://doi.org/10.48550/arXiv.2407.11878 db/journals/corr/corr2407.html#abs-2407-11878 streams/journals/corr

Amarpal Sahota Amber Roguski Matthew W. Jones Zahraa S. Abdallah Raúl Santos-Rodríguez Investigating Brain Connectivity and Regional Statistics from EEG for early stage Parkinson's Classification. 2024 abs/2408.00711 CoRR https://doi.org/10.48550/arXiv.2408.00711 db/journals/corr/corr2408.html#abs-2408-00711 streams/journals/corr

Yuxuan Ye Edwin Simpson Raúl Santos-Rodríguez Using Similarity to Evaluate Factual Consistency in Summaries. 2024 abs/2409.15090 CoRR https://doi.org/10.48550/arXiv.2409.15090 db/journals/corr/corr2409.html#abs-2409-15090 streams/journals/corr

Tashi Namgyal Alexander Hepburn Raúl Santos-Rodríguez Valero Laparra Jesus Malo The Effect of Perceptual Metrics on Music Representation Learning for Genre Classification. 2024 abs/2409.17069 CoRR https://doi.org/10.48550/arXiv.2409.17069 db/journals/corr/corr2409.html#abs-2409-17069 streams/journals/corr

Lincen Bai Hedi Tabia Raúl Santos-Rodríguez Beyond Pruning Criteria: The Dominant Role of Fine-Tuning and Adaptive Ratios in Neural Network Robustness. 2024 abs/2410.15176 CoRR https://doi.org/10.48550/arXiv.2410.15176 db/journals/corr/corr2410.html#abs-2410-15176 streams/journals/corr

Marceli Wac Raúl Santos-Rodríguez Christopher J. McWilliams Christopher P. Bourdeaux Evaluation of a Data Annotation Platform for Large, Time-Series Datasets in Intensive Care: Mixed Methods Study. 2024 abs/2410.16959 CoRR https://doi.org/10.48550/arXiv.2410.16959 db/journals/corr/corr2410.html#abs-2410-16959 streams/journals/corr

Jeffrey N. Clark Matthew Wragg Emily Nielsen Miquel Perelló-Nieto Nawid Keshtmand Michael Ambler Shiv Sharma Christopher P. Bourdeaux Amberly Brigden Raúl Santos-Rodríguez Exploring the Requirements of Clinicians for Explainable AI Decision Support Systems in Intensive Care. 2024 abs/2411.11774 CoRR https://doi.org/10.48550/arXiv.2411.11774 db/journals/corr/corr2411.html#abs-2411-11774 streams/journals/corr

Yujie Dai Brian Sullivan Axel Montout Amy Dillon Chris Waller Peter Acs Rachel Denholm Philip Williams Alastair D. Hay Raúl Santos-Rodríguez Andrew W. Dowsey Explainable AI for Classifying UTI Risk Groups Using a Real-World Linked EHR and Pathology Lab Dataset. 2024 abs/2411.17645 CoRR https://doi.org/10.48550/arXiv.2411.17645 db/journals/corr/corr2411.html#abs-2411-17645 streams/journals/corr

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. 103003 2023 May 173 Int. J. Hum. Comput. Stud. https://doi.org/10.1016/j.ijhcs.2023.103003 db/journals/ijmms/ijmms173.html#StawarzKAMYSFO23

Haixia Bi Miquel Perelló-Nieto Raúl Santos-Rodríguez Peter A. Flach Ian Craddock An active semi-supervised deep learning model for human activity recognition. 13049-13065 2023 October 14 J. Ambient Intell. Humaniz. Comput. 10 https://doi.org/10.1007/s12652-022-03768-2 db/journals/jaihc/jaihc14.html#BiPSFC23

Telmo de Menezes e Silva Filho Hao Song 0007 Miquel Perelló-Nieto Raúl Santos-Rodríguez Meelis Kull Peter A. Flach Classifier calibration: a survey on how to assess and improve predicted class probabilities. 3211-3260 2023 September 112 Mach. Learn. 9 https://doi.org/10.1007/s10994-023-06336-7 db/journals/ml/ml112.html#FilhoSPSKF23

Marceli Wac Raúl Santos-Rodríguez Christopher J. McWilliams Christopher P. Bourdeaux CATS: Cloud-native time-series data annotation tool for intensive care. 101593 2023 December 24 SoftwareX https://doi.org/10.1016/j.softx.2023.101593 db/journals/softx/softx24.html#WacSMB23

Matthew Clifford Jonathan Erskine Alexander Hepburn Peter A. Flach Raúl Santos-Rodríguez Reconciling Training and Evaluation Objectives in Location Agnostic Surrogate Explainers. 3833-3837 2023 CIKM https://doi.org/10.1145/3583780.3615284 conf/cikm/2023 db/conf/cikm/cikm2023.html#CliffordEHFS23 Taku Yamagata Ahmed Khalil Raúl Santos-Rodríguez Q-learning Decision Transformer: Leveraging Dynamic Programming for Conditional Sequence Modelling in Offline RL. 38989-39007 2023 ICML https://proceedings.mlr.press/v202/yamagata23a.html conf/icml/2023 db/conf/icml/icml2023.html#YamagataKS23 Jonathan D. Thomas Raúl Santos-Rodríguez Mihai Anca Robert J. Piechocki Multi-lingual agents through multi-headed neural networks. 2023 NLDL https://doi.org/10.7557/18.6818 conf/nldl/2023 db/conf/nldl/nldl2023.html#ThomasSAP23 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. 527-533 2023 PerCom Workshops https://doi.org/10.1109/PerComWorkshops56833.2023.10150351 conf/percom/2023w db/conf/percom/percomw2023.html#YamagataTSCPSYF23

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. 2023 abs/2301.08019 CoRR https://doi.org/10.48550/arXiv.2301.08019 db/journals/corr/corr2301.html#abs-2301-08019

Amarpal Sahota Amber Roguski Matthew W. Jones Michal Rolinski Alan L. Whone Raúl Santos-Rodriguez Zahraa S. Abdallah A Time Series Approach to Parkinson's Disease Classification from EEG. 2023 abs/2301.09568 CoRR https://doi.org/10.48550/arXiv.2301.09568 db/journals/corr/corr2301.html#abs-2301-09568

Maha M. Alwuthaynani Zahraa S. Abdallah Raúl Santos-Rodríguez Transfer Learning and Class Decomposition for Detecting the Cognitive Decline of Alzheimer Disease. 2023 abs/2301.13504 CoRR https://doi.org/10.48550/arXiv.2301.13504 db/journals/corr/corr2301.html#abs-2301-13504

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. 2023 abs/2302.02706 CoRR https://doi.org/10.48550/arXiv.2302.02706 db/journals/corr/corr2302.html#abs-2302-02706

Nawid Keshtmand Raúl Santos-Rodríguez Jonathan Lawry Two-step counterfactual generation for OOD examples. 2023 abs/2302.05196 CoRR https://doi.org/10.48550/arXiv.2302.05196 db/journals/corr/corr2302.html#abs-2302-05196

Alexander Hepburn Valero Laparra Raúl Santos-Rodríguez Jesús Malo Disentangling the Link Between Image Statistics and Human Perception. 2023 abs/2303.09874 CoRR https://doi.org/10.48550/arXiv.2303.09874 db/journals/corr/corr2303.html#abs-2303-09874

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. 2023 abs/2305.11582 CoRR https://doi.org/10.48550/arXiv.2305.11582 db/journals/corr/corr2305.html#abs-2305-11582

Tashi Namgyal Peter A. Flach Raúl Santos-Rodríguez MIDI-Draw: Sketching to Control Melody Generation. 2023 abs/2305.11605 CoRR https://doi.org/10.48550/arXiv.2305.11605 db/journals/corr/corr2305.html#abs-2305-11605

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. 2023 abs/2305.12134 CoRR https://doi.org/10.48550/arXiv.2305.12134 db/journals/corr/corr2305.html#abs-2305-12134

Marceli Wac Raúl Santos-Rodriguez Christopher J. McWilliams Christopher P. Bourdeaux Strategies for engaging clinical participants in the co-design of software for healthcare domains. 2023 abs/2308.16631 CoRR https://doi.org/10.48550/arXiv.2308.16631 db/journals/corr/corr2308.html#abs-2308-16631

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. 2023 abs/2309.04211 CoRR https://doi.org/10.48550/arXiv.2309.04211 db/journals/corr/corr2309.html#abs-2309-04211

Jeffrey N. Clark Edward A. Small Nawid Keshtmand Michelle W. L. Wan Elena Fillola Mayoral Enrico Werner Christopher P. Bourdeaux Raúl Santos-Rodriguez TraCE: Trajectory Counterfactual Explanation Scores. 2023 abs/2309.15965 CoRR https://doi.org/10.48550/arXiv.2309.15965 db/journals/corr/corr2309.html#abs-2309-15965

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. 2023 abs/2309.16500 CoRR https://doi.org/10.48550/arXiv.2309.16500 db/journals/corr/corr2309.html#abs-2309-16500

Ahmed Khalil Robert J. Piechocki Raúl Santos-Rodríguez LL-VQ-VAE: Learnable Lattice Vector-Quantization For Efficient Representations. 2023 abs/2310.09382 CoRR https://doi.org/10.48550/arXiv.2310.09382 db/journals/corr/corr2310.html#abs-2310-09382

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. 2023 abs/2312.03455 CoRR https://doi.org/10.48550/arXiv.2312.03455 db/journals/corr/corr2312.html#abs-2312-03455

Michelle W. L. Wan Jeffrey N. Clark Edward A. Small Elena Fillola Mayoral Raúl Santos-Rodríguez Monitoring Sustainable Global Development Along Shared Socioeconomic Pathways. 2023 abs/2312.04416 CoRR https://doi.org/10.48550/arXiv.2312.04416 db/journals/corr/corr2312.html#abs-2312-04416

Weisong Yang Rafael Poyiadzi Niall Twomey Raúl Santos-Rodríguez Hypothesis Testing for Class-Conditional Noise Using Local Maximum Likelihood. 2023 abs/2312.10238 CoRR https://doi.org/10.48550/arXiv.2312.10238 db/journals/corr/corr2312.html#abs-2312-10238

Xiaoyang Wang 0005 Jonathan D. Thomas Robert J. Piechocki Shipra Kapoor Raúl Santos-Rodríguez Arjun Parekh Self-play learning strategies for resource assignment in Open-RAN networks. 108682 2022 206 Comput. Networks https://doi.org/10.1016/j.comnet.2021.108682 db/journals/cn/cn206.html#WangTPKSP22

Armand K. Koupai Mohammud Junaid Bocus Raúl Santos-Rodríguez Robert J. Piechocki Ryan McConville Self-supervised multimodal fusion transformer for passive activity recognition. 149-160 2022 October 12 IET Wirel. Sens. Syst. 5-6 https://doi.org/10.1049/wss2.12044 db/journals/iet-wss/iet-wss12.html#KoupaiBSPM22

Kacper Sokol Raúl Santos-Rodríguez Peter A. Flach FAT Forensics: A Python toolbox for algorithmic fairness, accountability and transparency. 100406 2022 December 14 Softw. Impacts https://doi.org/10.1016/j.simpa.2022.100406 https://www.wikidata.org/entity/Q113864378 db/journals/simpa/simpa14.html#SokolSF22

Ricardo Kleinlein Alexander Hepburn Raúl Santos-Rodríguez Fernando Fernández Martínez Sampling Based On Natural Image Statistics Improves Local Surrogate Explainers. 1083 2022 BMVC https://bmvc2022.mpi-inf.mpg.de/1083/ conf/bmvc/2022 db/conf/bmvc/bmvc2022.html#KleinleinHSM22 Mohammud Junaid Bocus Hok-Shing Lau Ryan McConville Robert J. Piechocki Raúl Santos-Rodríguez Self-Supervised WiFi-Based Activity Recognition. 552-557 2022 GLOBECOM (Workshops) https://doi.org/10.1109/GCWkshps56602.2022.10008537 conf/globecom/2022w db/conf/globecom/globecom2022w.html#BocusLMPS22 Taku Yamagata Raúl Santos-Rodríguez Robert J. Piechocki Peter A. Flach Understanding Reinforcement Learning Based Localisation as a Probabilistic Inference Algorithm. 111-122 2022 ICANN (2) https://doi.org/10.1007/978-3-031-15931-2_10 conf/icann/2022-2 db/conf/icann/icann2022-2.html#YamagataSPF22 Jonas Paulavicius Seifallah Jardak Ryan McConville Robert J. Piechocki Raúl Santos-Rodríguez Temporal Self-Supervised Learning for RSSI-based Indoor Localization. 3046-3051 2022 ICC https://doi.org/10.1109/ICC45855.2022.9838841 conf/icc/2022 db/conf/icc/icc2022.html#PaulaviciusJMPS22 Alexander Hepburn Valero Laparra Raúl Santos-Rodríguez Johannes Ballé Jesus Malo On the relation between statistical learning and perceptual distances. 2022 ICLR https://openreview.net/forum?id=zXM0b4hi5_B conf/iclr/2022 db/conf/iclr/iclr2022.html#HepburnLSBM22 Nawid Keshtmand Raúl Santos-Rodríguez Jonathan Lawry Understanding the Properties and Limitations of Contrastive Learning for Out-of-Distribution Detection. 330-343 2022 ICPR Workshops (1) https://doi.org/10.1007/978-3-031-37660-3_23 conf/icpr/2022w1 db/conf/icpr/icpr2022w1.html#KeshtmandSL22 Jonas Schulz Raúl Santos-Rodríguez Rafael Poyiadzi Uncertainty Quantification of Surrogate Explanations: an Ordinal Consensus Approach. 2022 NLDL https://doi.org/10.7557/18.6294 conf/nldl/2022 db/conf/nldl/nldl2022.html#SchulzSP22 Rafael Poyiadzi Daniel Bacaicoa-Barber Jesús Cid-Sueiro Miquel Perelló-Nieto Peter A. Flach Raúl Santos-Rodríguez The Weak Supervision Landscape. 218-223 2022 PerCom Workshops https://doi.org/10.1109/PerComWorkshops53856.2022.9767420 conf/percom/2022w db/conf/percom/percomw2022.html#PoyiadziBCPFS22 Rafael Poyiadzi Weisong Yang Niall Twomey Raúl Santos-Rodríguez Hypothesis Testing for Class-Conditional Label Noise. 171-186 2022 ECML/PKDD (3) https://doi.org/10.1007/978-3-031-26409-2_11 conf/pkdd/2022-3 db/conf/pkdd/pkdd2022-3.html#PoyiadziYTS22 Weisong Yang Rafael Poyiadzi Yoav Ben-Shlomo Ian Craddock Liz Coulthard Raúl Santos-Rodríguez James Selwood Niall Twomey Detecting and Monitoring Behavioural Patterns in Individuals with Cognitive Disorders in the Home Environment with Partial Annotations. 25-52 2022 Integrating Artificial Intelligence and IoT for Advanced Health Informatics https://doi.org/10.1007/978-3-030-91181-2_3 books/sp/22/CFZ2022 db/books/collections/CFZ2022.html#YangPBCCSST22 Kacper Sokol Alexander Hepburn Raúl Santos-Rodriguez Peter A. Flach What and How of Machine Learning Transparency: Building Bespoke Explainability Tools with Interoperable Algorithmic Components. 2022 October https://doi.org/10.5281/zenodo.7229153 Zenodo streams/repo/zenodo

Rafael Poyiadzi Daniel Bacaicoa-Barber Jesús Cid-Sueiro Miquel Perelló-Nieto Peter A. Flach Raúl Santos-Rodríguez The Weak Supervision Landscape. 2022 abs/2203.16282 CoRR https://doi.org/10.48550/arXiv.2203.16282 db/journals/corr/corr2203.html#abs-2203-16282

Ricardo Kleinlein Alexander Hepburn Raúl Santos-Rodríguez Fernando Fernández Martínez Sampling Based On Natural Image Statistics Improves Local Surrogate Explainers. 2022 abs/2208.03961 CoRR https://doi.org/10.48550/arXiv.2208.03961 db/journals/corr/corr2208.html#abs-2208-03961

Armand K. Koupai Mohammud Junaid Bocus Raúl Santos-Rodríguez Robert J. Piechocki Ryan McConville Self-Supervised Multimodal Fusion Transformer for Passive Activity Recognition. 2022 abs/2209.03765 CoRR https://doi.org/10.48550/arXiv.2209.03765 db/journals/corr/corr2209.html#abs-2209-03765

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. 2022 abs/2209.03805 CoRR https://doi.org/10.48550/arXiv.2209.03805 db/journals/corr/corr2209.html#abs-2209-03805

Kacper Sokol Alexander Hepburn Raúl Santos-Rodríguez Peter A. Flach What and How of Machine Learning Transparency: Building Bespoke Explainability Tools with Interoperable Algorithmic Components. 2022 abs/2209.03813 CoRR https://doi.org/10.48550/arXiv.2209.03813 db/journals/corr/corr2209.html#abs-2209-03813

Taku Yamagata Ahmed Khalil Raúl Santos-Rodríguez Q-learning Decision Transformer: Leveraging Dynamic Programming for Conditional Sequence Modelling in Offline RL. 2022 abs/2209.03993 CoRR https://doi.org/10.48550/arXiv.2209.03993 db/journals/corr/corr2209.html#abs-2209-03993

Nawid Keshtmand Raúl Santos-Rodríguez Jonathan Lawry Understanding the properties and limitations of contrastive learning for Out-of-Distribution detection. 2022 abs/2211.03183 CoRR https://doi.org/10.48550/arXiv.2211.03183 db/journals/corr/corr2211.html#abs-2211-03183

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. 106-119 2021 114 Future Gener. Comput. Syst. https://doi.org/10.1016/j.future.2020.07.046 db/journals/fgcs/fgcs114.html#McConvilleACKPP21

Bo Kang Dario García-García Jefrey Lijffijt Raúl Santos-Rodríguez Tijl De Bie Conditional t-SNE: more informative t-SNE embeddings. 2905-2940 2021 110 Mach. Learn. 10 https://doi.org/10.1007/s10994-020-05917-0 db/journals/ml/ml110.html#KangGLSB21

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. 457:1-457:26 2021 5 Proc. ACM Hum. Comput. Interact. CSCW2 https://doi.org/10.1145/3479601 https://www.wikidata.org/entity/Q130994406 db/journals/pacmhci/pacmhci5.html#AyobiSKMYSFO21

Haixia Bi Miquel Perelló-Nieto Raúl Santos-Rodríguez Peter A. Flach Human Activity Recognition Based on Dynamic Active Learning. 922-934 2021 25 IEEE J. Biomed. Health Informatics 4 https://doi.org/10.1109/JBHI.2020.3013403 https://www.wikidata.org/entity/Q98200845 db/journals/titb/titb25.html#BiPSF21

Bo Kang Dario García-García Jefrey Lijffijt Raúl Santos-Rodríguez Tijl De Bie Conditional t-SNE: More informative t-SNE embeddings. 1-2 2021 DSAA https://doi.org/10.1109/DSAA53316.2021.9564212 conf/dsaa/2021 db/conf/dsaa/dsaa2021.html#KangGLSB21 Daniel Bacaicoa-Barber Miquel Perelló-Nieto Raúl Santos-Rodríguez Jesús Cid-Sueiro On the Selection of Loss Functions Under Known Weak Label Models. 332-343 2021 ICANN (2) https://doi.org/10.1007/978-3-030-86340-1_27 conf/icann/2021-2 db/conf/icann/icann2021-2.html#Bacaicoa-Barber21 Alexander Hepburn Raúl Santos-Rodríguez Explainers in the Wild: Making Surrogate Explainers Robust to Distortions Through Perception. 3717-3721 2021 ICIP https://doi.org/10.1109/ICIP42928.2021.9506711 conf/icip/2021 db/conf/icip/icip2021.html#HepburnS21 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. 2021 IUI Workshops https://ceur-ws.org/Vol-2903/IUI21WS-TExSS-3.pdf conf/iui/2021w db/conf/iui/iui2021w.html#AyobiSKMYSFO21 Raúl Santos-Rodriguez Keynote: Training with imperfect and weak labels. 481 2021 PerCom Workshops https://doi.org/10.1109/PerComWorkshops51409.2021.9431006 conf/percom/2021w db/conf/percom/percomw2021.html#Santos-Rodriguez21

Alexander Hepburn Raúl Santos-Rodríguez Explainers in the Wild: Making Surrogate Explainers Robust to Distortions through Perception. 2021 abs/2102.10951 CoRR https://arxiv.org/abs/2102.10951 db/journals/corr/corr2102.html#abs-2102-10951

Rafael Poyiadzi Weisong Yang Niall Twomey Raúl Santos-Rodríguez Statistical Hypothesis Testing for Class-Conditional Label Noise. 2021 abs/2103.02630 CoRR https://arxiv.org/abs/2103.02630 db/journals/corr/corr2103.html#abs-2103-02630

Xiaoyang Wang 0005 Jonathan D. Thomas Robert J. Piechocki Shipra Kapoor Raúl Santos-Rodríguez Arjun Parekh Self-play Learning Strategies for Resource Assignment in Open-RAN Networks. 2021 abs/2103.02649 CoRR https://arxiv.org/abs/2103.02649 db/journals/corr/corr2103.html#abs-2103-02649

Hok-Shing Lau Ryan McConville Mohammud Junaid Bocus Robert J. Piechocki Raúl Santos-Rodríguez Self-Supervised WiFi-Based Activity Recognition. 2021 abs/2104.09072 CoRR https://arxiv.org/abs/2104.09072 db/journals/corr/corr2104.html#abs-2104-09072

Alexander Hepburn Valero Laparra Raúl Santos-Rodríguez Johannes Ballé Jesús Malo On the relation between statistical learning and perceptual distances. 2021 abs/2106.04427 CoRR https://arxiv.org/abs/2106.04427 db/journals/corr/corr2106.html#abs-2106-04427

Rafael Poyiadzi Xavier Renard Thibault Laugel Raúl Santos-Rodríguez Marcin Detyniecki On the overlooked issue of defining explanation objectives for local-surrogate explainers. 2021 abs/2106.05810 CoRR https://arxiv.org/abs/2106.05810 db/journals/corr/corr2106.html#abs-2106-05810

Rafael Poyiadzi Xavier Renard Thibault Laugel Raúl Santos-Rodríguez Marcin Detyniecki Understanding surrogate explanations: the interplay between complexity, fidelity and coverage. 2021 abs/2107.04309 CoRR https://arxiv.org/abs/2107.04309 db/journals/corr/corr2107.html#abs-2107-04309

Taku Yamagata Ryan McConville Raúl Santos-Rodríguez Reinforcement Learning with Feedback from Multiple Humans with Diverse Skills. 2021 abs/2111.08596 CoRR https://arxiv.org/abs/2111.08596 db/journals/corr/corr2111.html#abs-2111-08596

Jonas Schulz Rafael Poyiadzi Raúl Santos-Rodríguez Uncertainty Quantification of Surrogate Explanations: an Ordinal Consensus Approach. 2021 abs/2111.09121 CoRR https://arxiv.org/abs/2111.09121 db/journals/corr/corr2111.html#abs-2111-09121

Jonathan D. Thomas Raúl Santos-Rodríguez Robert J. Piechocki Mihai Anca Multi-lingual agents through multi-headed neural networks. 2021 abs/2111.11129 CoRR https://arxiv.org/abs/2111.11129 db/journals/corr/corr2111.html#abs-2111-11129

Telmo de Menezes e Silva Filho Hao Song 0007 Miquel Perelló-Nieto Raúl Santos-Rodríguez Meelis Kull Peter A. Flach Classifier Calibration: How to assess and improve predicted class probabilities: a survey. 2021 abs/2112.10327 CoRR https://arxiv.org/abs/2112.10327 db/journals/corr/corr2112.html#abs-2112-10327

Miquel Perelló-Nieto Raúl Santos-Rodríguez Dario García-García Jesús Cid-Sueiro Recycling weak labels for multiclass classification. 206-215 2020 400 Neurocomputing https://doi.org/10.1016/j.neucom.2020.03.002 db/journals/ijon/ijon400.html#Perello-NietoSG20

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. 1904 2020 5 J. Open Source Softw. 49 https://doi.org/10.21105/joss.01904 db/journals/jossw/jossw5.html#SokolHPCSF20

Rafael Poyiadzi Kacper Sokol Raúl Santos-Rodríguez Tijl De Bie Peter A. Flach FACE: Feasible and Actionable Counterfactual Explanations. 344-350 2020 AIES https://doi.org/10.1145/3375627.3375850 conf/aies/2020 db/conf/aies/aies2020.html#PoyiadziSSBF20 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. 23-27 2020 AAI4H@ECAI https://ceur-ws.org/Vol-2820/AAI4H-5.pdf conf/ecai/2020aaih4 db/conf/ecai/aai4h2020.html#PoyiadziYBCCSST20 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. 72-77 2020 AAI4H@ECAI https://ceur-ws.org/Vol-2820/AAI4H-14.pdf conf/ecai/2020aaih4 db/conf/ecai/aai4h2020.html#YamagataOAKSMFS20 Niall Twomey Michal Kozlowski Raúl Santos-Rodríguez Neural ODEs with Stochastic Vector Field Mixtures. 1555-1562 2020 ECAI https://doi.org/10.3233/FAIA200264 conf/ecai/2020 db/conf/ecai/ecai2020.html#TwomeyKS20 Mohammud Junaid Bocus Jonas Paulavicius Ryan McConville Raúl Santos-Rodríguez Robert J. Piechocki Low Cost Localisation in Residential Environments using High Resolution CIR Information. 1-6 2020 GLOBECOM https://doi.org/10.1109/GLOBECOM42002.2020.9322453 conf/globecom/2020 db/conf/globecom/globecom2020.html#BocusPMSP20 Alexander Hepburn Valero Laparra Jesús Malo Ryan McConville Raúl Santos-Rodríguez Perceptnet: A Human Visual System Inspired Neural Network For Estimating Perceptual Distance. 121-125 2020 ICIP https://doi.org/10.1109/ICIP40778.2020.9190691 conf/icip/2020 db/conf/icip/icip2020.html#HepburnLMMS20 Ryan McConville Raúl Santos-Rodríguez Robert J. Piechocki Ian Craddock N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding. 5145-5152 2020 ICPR https://doi.org/10.1109/ICPR48806.2021.9413131 conf/icpr/2020 db/conf/icpr/icpr2020.html#McConvilleSPC20 Mohammud Junaid Bocus Wenda Li 0002 Jonas Paulavicius Ryan McConville Raúl Santos-Rodríguez Kevin Chetty Robert J. Piechocki Translation Resilient Opportunistic WiFi Sensing. 5627-5633 2020 ICPR https://doi.org/10.1109/ICPR48806.2021.9412263 conf/icpr/2020 db/conf/icpr/icpr2020.html#BocusLPMSCP20 Haixia Bi Raúl Santos-Rodríguez Peter A. Flach Polsar Image Classification via Robust Low-Rank Feature Extraction and Markov Random Field. 708-711 2020 IGARSS https://doi.org/10.1109/IGARSS39084.2020.9324175 conf/igarss/2020 db/conf/igarss/igarss2020.html#BiSF20 Alexander Hepburn Valero Laparra Ryan McConville Raúl Santos-Rodríguez Enforcing perceptual consistency on Generative Adversarial Networks by using the Normalised Laplacian Pyramid Distance. 1-6 2020 NLDL https://doi.org/10.7557/18.5124 conf/nldl/2020 db/conf/nldl/nldl2020.html#HepburnLMS20 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. 2020 May https://doi.org/10.5281/zenodo.3833199 Zenodo streams/repo/zenodo

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. 2020 abs/2007.03615 CoRR https://arxiv.org/abs/2007.03615 db/journals/corr/corr2007.html#abs-2007-03615

Valero Laparra Juan Emmanuel Johnson Gustau Camps-Valls Raúl Santos-Rodríguez Jesus Malo Information Theory Measures via Multidimensional Gaussianization. 2020 abs/2010.03807 CoRR https://arxiv.org/abs/2010.03807 db/journals/corr/corr2010.html#abs-2010-03807

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. 2020 abs/2010.06266 CoRR https://arxiv.org/abs/2010.06266 db/journals/corr/corr2010.html#abs-2010-06266

Juan Emmanuel Johnson Valero Laparra Gustau Camps-Valls Raúl Santos-Rodríguez Jesús Malo Information Theory in Density Destructors. 2020 abs/2012.01012 CoRR https://arxiv.org/abs/2012.01012 db/journals/corr/corr2012.html#abs-2012-01012

Michal Kozlowski Raúl Santos-Rodríguez Robert J. Piechocki Sensor Modalities and Fusion for Robust Indoor Localisation. e5 2019 6 EAI Endorsed Trans. Ambient Syst. 18 https://doi.org/10.4108/eai.12-12-2019.162670 https://www.wikidata.org/entity/Q126379369 db/journals/amsys/amsys6.html#KozlowskiSP19

Pablo Morales-Alvarez Pablo Ruiz 0002 Raúl Santos-Rodríguez Rafael Molina 0001 Aggelos K. Katsaggelos Scalable and efficient learning from crowds with Gaussian processes. 110-127 2019 52 Inf. Fusion https://doi.org/10.1016/j.inffus.2018.12.008 https://www.wikidata.org/entity/Q128642126 db/journals/inffus/inffus52.html#Morales-Alvarez19

Xiaoyang Wang 0005 Ioannis Mavromatis Andrea Tassi Raúl Santos-Rodríguez Robert J. Piechocki Location Anomalies Detection for Connected and Autonomous Vehicles. 1-5 2019 CAVS https://doi.org/10.1109/CAVS.2019.8887778 conf/cavs/2019 db/conf/cavs/cavs2019.html#WangMTSP19 Rafael Poyiadzi Raúl Santos-Rodríguez Niall Twomey Active Learning with Label Proportions. 3097-3101 2019 ICASSP https://doi.org/10.1109/ICASSP.2019.8682748 conf/icassp/2019 db/conf/icassp/icassp2019.html#PoyiadziST19

Niall Twomey Michal Kozlowski Raúl Santos-Rodríguez Neural ODEs with stochastic vector field mixtures. 2019 abs/1905.09905 CoRR http://arxiv.org/abs/1905.09905 db/journals/corr/corr1905.html#abs-1905-09905

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. 2019 abs/1905.10086 CoRR http://arxiv.org/abs/1905.10086 db/journals/corr/corr1905.html#abs-1905-10086

Niall Twomey Rafael Poyiadzi Callum Mann Raúl Santos-Rodríguez Ordinal Regression as Structured Classification. 2019 abs/1905.13658 CoRR http://arxiv.org/abs/1905.13658 db/journals/corr/corr1905.html#abs-1905-13658

Xiaoyang Wang 0005 Ioannis Mavromatis Andrea Tassi Raúl Santos-Rodríguez Robert J. Piechocki Location Anomalies Detection for Connected and Autonomous Vehicles. 2019 abs/1907.00811 CoRR http://arxiv.org/abs/1907.00811 db/journals/corr/corr1907.html#abs-1907-00811

Alexander Hepburn Valero Laparra Ryan McConville Raúl Santos-Rodríguez Enforcing Perceptual Consistency on Generative Adversarial Networks by Using the Normalised Laplacian Pyramid Distance. 2019 abs/1908.04347 CoRR http://arxiv.org/abs/1908.04347 db/journals/corr/corr1908.html#abs-1908-04347

Ryan McConville Raúl Santos-Rodríguez Robert J. Piechocki Ian Craddock N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding. 2019 abs/1908.05968 CoRR http://arxiv.org/abs/1908.05968 db/journals/corr/corr1908.html#abs-1908-05968

Taku Yamagata Raúl Santos-Rodríguez Ryan McConville Atis Elsts Online Feature Selection for Activity Recognition using Reinforcement Learning with Multiple Feedback. 2019 abs/1908.06134 CoRR http://arxiv.org/abs/1908.06134 db/journals/corr/corr1908.html#abs-1908-06134

Kacper Sokol Raúl Santos-Rodríguez Peter A. Flach FAT Forensics: A Python Toolbox for Algorithmic Fairness, Accountability and Transparency. 2019 abs/1909.05167 CoRR http://arxiv.org/abs/1909.05167 db/journals/corr/corr1909.html#abs-1909-05167

Rafael Poyiadzi Kacper Sokol Raúl Santos-Rodriguez Tijl De Bie Peter A. Flach FACE: Feasible and Actionable Counterfactual Explanations. 2019 abs/1909.09369 CoRR http://arxiv.org/abs/1909.09369 db/journals/corr/corr1909.html#abs-1909-09369

Alexander Hepburn Valero Laparra Jesús Malo Ryan McConville Raúl Santos-Rodríguez PerceptNet: A Human Visual System Inspired Neural Network for Estimating Perceptual Distance. 2019 abs/1910.12548 CoRR http://arxiv.org/abs/1910.12548 db/journals/corr/corr1910.html#abs-1910-12548

Kacper Sokol Alexander Hepburn Raúl Santos-Rodríguez Peter A. Flach bLIMEy: Surrogate Prediction Explanations Beyond LIME. 2019 abs/1910.13016 CoRR http://arxiv.org/abs/1910.13016 db/journals/corr/corr1910.html#abs-1910-13016

Bo Kang Jefrey Lijffijt Raúl Santos-Rodríguez Tijl De Bie SICA: subjectively interesting component analysis. 949-987 2018 32 Data Min. Knowl. Discov. 4 https://doi.org/10.1007/s10618-018-0558-x https://www.wikidata.org/entity/Q130140631 db/journals/datamine/datamine32.html#KangLSB18

Luis Gómez-Chova Raúl Santos-Rodríguez Gustau Camps-Valls Signal-to-noise ratio in reproducing kernel Hilbert spaces. 75-82 2018 112 Pattern Recognit. Lett. https://doi.org/10.1016/j.patrec.2018.06.004 db/journals/prl/prl112.html#Gomez-ChovaSC18

Ryan McConville Raúl Santos-Rodríguez Niall Twomey Person Identification and Discovery With Wrist Worn Accelerometer Data. 2018 ESANN https://www.esann.org/sites/default/files/proceedings/legacy/es2018-190.pdf conf/esann/2018 db/conf/esann/esann2018.html#McConvilleST18 Raúl Santos-Rodríguez Niall Twomey Efficient approximate representations for computationally expensive features. 2018 ESANN https://www.esann.org/sites/default/files/proceedings/legacy/es2018-122.pdf conf/esann/2018 db/conf/esann/esann2018.html#Santos-Rodriguez18 Atis Elsts Ryan McConville Xenofon Fafoutis Niall Twomey Robert J. Piechocki Raúl Santos-Rodriguez Ian Craddock On-Board Feature Extraction from Acceleration Data for Activity Recognition. 163-168 2018 EWSN http://dl.acm.org/citation.cfm?id=3234868 conf/ewsn/2018 db/conf/ewsn/ewsn2018.html#ElstsMFTPSC18 Rafael Poyiadzi Raúl Santos-Rodríguez Niall Twomey Label Propagation for Learning with Label proportions. 1-6 2018 MLSP https://doi.org/10.1109/MLSP.2018.8517083 conf/mlsp/2018 db/conf/mlsp/mlsp2018.html#PoyiadziST18 Alexander Hepburn Ryan McConville Raúl Santos-Rodríguez Jesús Cid-Sueiro Dario García-García Proper Losses for Learning with Example-Dependent Costs. 52-66 2018 LIDTA@ECML/PKDD http://proceedings.mlr.press/v94/hepburn18a.html conf/pkdd/2018lidta db/conf/pkdd/lidta2018.html#HepburnMSCG18 Rafael Poyiadzi Raúl Santos-Rodríguez Tijl De Bie Ordinal Label Proportions. 306-321 2018 ECML/PKDD (1) https://doi.org/10.1007/978-3-030-10925-7_19 conf/pkdd/2018-1 db/conf/pkdd/pkdd2018-1.html#PoyiadziSB18 Michal Kozlowski Dallan Byrne Raúl Santos-Rodríguez Robert J. Piechocki Data fusion for robust indoor localisation in digital health. 302-307 2018 WCNC Workshops https://doi.org/10.1109/WCNCW.2018.8369009 conf/wcnc/2018w db/conf/wcnc/wcncw2018.html#KozlowskiBSP18 Ryan McConville Dallan Byrne Ian Craddock Robert J. Piechocki James Pope Raúl Santos-Rodríguez Understanding the quality of calibrations for indoor localisation. 676-681 2018 WF-IoT https://doi.org/10.1109/WF-IoT.2018.8355159 conf/wf-iot/2018 db/conf/wf-iot/wf-iot2018.html#McConvilleBCPPS18

Ryan McConville Gareth Archer Ian Craddock Herman J. ter Horst Robert J. Piechocki James Pope Raúl Santos-Rodriguez Online Heart Rate Prediction using Acceleration from a Wrist Worn Wearable. 2018 abs/1807.04667 CoRR http://arxiv.org/abs/1807.04667 db/journals/corr/corr1807.html#abs-1807-04667

Rafael Poyiadzi Raúl Santos-Rodríguez Niall Twomey Label Propagation for Learning with Label Proportions. 2018 abs/1810.10328 CoRR http://arxiv.org/abs/1810.10328 db/journals/corr/corr1810.html#abs-1810-10328

Michal Kozlowski Ryan McConville Raúl Santos-Rodríguez Robert J. Piechocki Energy Efficiency in Reinforcement Learning for Wireless Sensor Networks. 2018 abs/1812.02538 CoRR http://arxiv.org/abs/1812.02538 db/journals/corr/corr1812.html#abs-1812-02538

Miquel Perelló-Nieto Raúl Santos-Rodríguez Jesús Cid-Sueiro Adapting Supervised Classification Algorithms to Arbitrary Weak Label Scenarios. 247-259 2017 IDA https://doi.org/10.1007/978-3-319-68765-0_21 conf/ida/2017 db/conf/ida/ida2017.html#Perello-NietoSC17 Paolo Simeone Raúl Santos-Rodríguez Matt McVicar Jefrey Lijffijt Tijl De Bie Hierarchical Novelty Detection. 310-321 2017 IDA https://doi.org/10.1007/978-3-319-68765-0_26 conf/ida/2017 db/conf/ida/ida2017.html#SimeoneSMLB17 James Pope Ryan McConville Michal Kozlowski Xenofon Fafoutis Raúl Santos-Rodríguez Robert J. Piechocki Ian Craddock SPHERE in a Box: Practical and Scalable EurValve Activity Monitoring Smart Home Kit. 128-135 2017 LCN Workshops https://doi.org/10.1109/LCN.Workshops.2017.74 https://doi.ieeecomputersociety.org/10.1109/LCN.Workshops.2017.74 conf/lcn/2017w db/conf/lcn/lcnw2017.html#PopeMKFSPC17 Tijl De Bie Jefrey Lijffijt Raúl Santos-Rodríguez Bo Kang Informative data projections: a framework and two examples. 2016 ESANN https://www.esann.org/sites/default/files/proceedings/legacy/es2016-123.pdf conf/esann/2016 db/conf/esann/esann2016.html#BieLSK16 Matt McVicar Raúl Santos-Rodriguez Tijl De Bie Learning to separate vocals from polyphonic mixtures via ensemble methods and structured output prediction. 450-454 2016 ICASSP https://doi.org/10.1109/ICASSP.2016.7471715 conf/icassp/2016 db/conf/icassp/icassp2016.html#McVicarSB16 Bo Kang Jefrey Lijffijt Raúl Santos-Rodriguez Tijl De Bie Subjectively Interesting Component Analysis: Data Projections that Contrast with Prior Expectations. 1615-1624 2016 KDD https://doi.org/10.1145/2939672.2939840 conf/kdd/2016 db/conf/kdd/kdd2016.html#KangLSB16 Tijl De Bie Jefrey Lijffijt Cédric Mesnage Raúl Santos-Rodriguez Detecting trends in twitter time series. 1-6 2016 MLSP https://doi.org/10.1109/MLSP.2016.7738815 conf/mlsp/2016 db/conf/mlsp/mlsp2016.html#BieLMS16 Valero Laparra Raúl Santos-Rodríguez Spatial/spectral information trade-off in hyperspectral images. 1124-1127 2015 IGARSS https://doi.org/10.1109/IGARSS.2015.7325968 conf/igarss/2015 db/conf/igarss/igarss2015.html#LaparrcrS15

Tijl De Bie Jefrey Lijffijt Raúl Santos-Rodriguez Bo Kang Informative Data Projections: A Framework and Two Examples. 2015 abs/1511.08762 CoRR http://arxiv.org/abs/1511.08762 db/journals/corr/corr1511.html#BieLSK15

Matt McVicar Raúl Santos-Rodriguez Yizhao Ni Tijl De Bie Automatic Chord Estimation from Audio: A Review of the State of the Art. 556-575 2014 22 IEEE ACM Trans. Audio Speech Lang. Process. 2 https://doi.org/10.1109/TASLP.2013.2294580 https://www.wikidata.org/entity/Q114831292 db/journals/taslp/taslp22.html#McVicarSNB14

Jesús Cid-Sueiro Dario García-García Raúl Santos-Rodríguez Consistency of Losses for Learning from Weak Labels. 197-210 2014 ECML/PKDD (1) https://doi.org/10.1007/978-3-662-44848-9_13 conf/pkdd/2014-1 db/conf/pkdd/pkdd2014-1.html#Cid-SueiroGS14

Yizhao Ni Matt McVicar Raúl Santos-Rodríguez Tijl De Bie Understanding Effects of Subjectivity in Measuring Chord Estimation Accuracy. 2607-2615 2013 21 IEEE ACM Trans. Audio Speech Lang. Process. 12 https://doi.org/10.1109/TASL.2013.2280218 db/journals/taslp/taslp21.html#NiMSB13

Yizhao Ni Matt McVicar Raúl Santos-Rodriguez Tijl De Bie An End-to-End Machine Learning System for Harmonic Analysis of Music. 1771-1783 2012 20 IEEE Trans. Speech Audio Process. 6 https://doi.org/10.1109/TASL.2012.2188516 https://www.wikidata.org/entity/Q114829761 db/journals/taslp/taslp20.html#NiMSB12

Raúl Santos-Rodríguez Jesús Cid-Sueiro Cost-Sensitive Sequences of Bregman Divergences. 1896-1904 2012 23 IEEE Trans. Neural Networks Learn. Syst. 12 https://doi.org/10.1109/TNNLS.2012.2219067 https://www.wikidata.org/entity/Q87833968 db/journals/tnn/tnn23.html#Santos-RodriguezC12

Yizhao Ni Matt McVicar Raúl Santos-Rodriguez Tijl De Bie Using Hyper-genre Training to Explore Genre Information for Automatic Chord Estimation. 109-114 2012 ISMIR http://ismir2012.ismir.net/event/papers/109-ismir-2012.pdf conf/ismir/2012 db/conf/ismir/ismir2012.html#NiMSB12 Dario García-García Raúl Santos-Rodríguez Emilio Parrado-Hernández Classifier-based affinities for clustering sets of vectors. 1-6 2012 MLSP https://doi.org/10.1109/MLSP.2012.6349760 conf/mlsp/2012 db/conf/mlsp/mlsp2012.html#Garcia-GarciaSP12 Dario García-García Raúl Santos-Rodríguez Sphere packing for clustering sets of vectors in feature space. 2092-2095 2011 ICASSP https://doi.org/10.1109/ICASSP.2011.5946738 conf/icassp/2011 db/conf/icassp/icassp2011.html#Garcia-GarciaS11 Dario García-García Ulrike von Luxburg Raúl Santos-Rodríguez Risk-Based Generalizations of f-divergences. 417-424 2011 ICML conf/icml/2011 https://icml.cc/2011/papers/288_icmlpaper.pdf db/conf/icml/icml2011.html#Garcia-GarciaLS11 Matt McVicar Yizhao Ni Tijl De Bie Raúl Santos-Rodriguez Leveraging Noisy Online Databases for Use in Chord Recognition. 639-644 2011 ISMIR http://ismir2011.ismir.net/papers/OS8-2.pdf conf/ismir/2011 db/conf/ismir/ismir2011.html#McVicarNBS11

Yizhao Ni Matt McVicar Raúl Santos-Rodriguez Tijl De Bie An end-to-end machine learning system for harmonic analysis of music http://arxiv.org/abs/1107.4969 2011 CoRR abs/1107.4969 db/journals/corr/corr1107.html#abs-1107-4969

Yizhao Ni Matt McVicar Raúl Santos-Rodriguez Tijl De Bie Meta-song evaluation for chord recognition http://arxiv.org/abs/1109.0420 2011 CoRR abs/1109.0420 db/journals/corr/corr1109.html#abs-1109-0420

Raúl Santos-Rodríguez Dario García-García Cost-Sensitive Feature Selection Based on the Set Covering Machine. 740-746 2010 ICDM Workshops https://doi.org/10.1109/ICDMW.2010.92 https://doi.ieeecomputersociety.org/10.1109/ICDMW.2010.92 conf/icdm/2010w db/conf/icdm/icdmw2010.html#Santos-RodriguezG10

Raúl Santos-Rodríguez Alicia Guerrero-Curieses Rocío Alaíz-Rodríguez Jesús Cid-Sueiro Cost-sensitive learning based on Bregman divergences. 271-285 2009 76 Mach. Learn. 2-3 https://doi.org/10.1007/s10994-009-5132-8 db/journals/ml/ml76.html#Santos-RodriguezGAC09

Dario García-García Raúl Santos-Rodríguez Spectral Clustering and Feature Selection for Microarray Data. 425-428 2009 ICMLA https://doi.org/10.1109/ICMLA.2009.86 https://doi.ieeecomputersociety.org/10.1109/ICMLA.2009.86 conf/icmla/2009 db/conf/icmla/icmla2009.html#Garcia-GarciaS09 Raúl Santos-Rodríguez Dario García-García Jesús Cid-Sueiro Cost-Sensitive Classification Based on Bregman Divergences for Medical Diagnosis. 551-556 2009 ICMLA https://doi.org/10.1109/ICMLA.2009.82 https://doi.ieeecomputersociety.org/10.1109/ICMLA.2009.82 conf/icmla/2009 db/conf/icmla/icmla2009.html#Santos-RodriguezGC09 Raúl Santos-Rodríguez Alicia Guerrero-Curieses Rocío Alaíz-Rodríguez Jesús Cid-Sueiro Cost-Sensitive Learning Based on Bregman Divergences. 12 2009 ECML/PKDD (1) https://doi.org/10.1007/978-3-642-04180-8_12 conf/pkdd/2009-1 db/conf/pkdd/pkdd2009-1.html#Santos-RodriguezGAC09 Zahraa Said AbdallahZahraa S. Abdallah Peter Acs Rocío Alaíz-Rodríguez Maha M. Alwuthaynani Michael Ambler Mihai Anca Gareth Archer Amid Ayobi Daniel Bacaicoa-Barber Lincen Bai Jona BalléJohannes Ballé Thea Barnes Yoav Ben-Shlomo Ranjeet S. Bhamber Haixia Bi Tijl De Bie Mohammud Junaid Bocus Christopher P. Bourdeaux Amberly Brigden Dallan Byrne Gustau Camps-Valls Jeffrey Chan Kevin Chetty Jesús Cid-Sueiro Jeffrey N. ClarkJeffrey Nicholas Clark Matthew Clifford Liz Coulthard Ian Craddock Yujie Dai Paula Daudén-OliverPaula Dauden Rachel Denholm Marcin Detyniecki Amy Dillon Andrew W. Dowsey Atis Elsts Jonathan Erskine Xenofon Fafoutis Telmo de Menezes e Silva Filho Elena Fillola Peter A. Flach Navid Mohammadi Foumani Dario García-García Luis Gómez-Chova Alicia Guerrero-Curieses Finn Gueterbock Pedro Porto Buarque de Gusmão Alastair D. Hay Alexander Hepburn Pablo Hernández-Cámara Herman J. ter Horst Alex Iacob Seifallah Jardak Juan Emmanuel Johnson Matt W. JonesMatthew W. Jones Bo Kang Shipra Kapoor Aggelos K. Katsaggelos Dmitri S. Katz Nawid Keshtmand Ahmed Khalil Ricardo Kleinlein Armand K. Koupai Michal Kozlowski Meelis Kull Nicholas D. Lane Valero Laparra Hok-Shing Lau Thibault Laugel Jonathan Lawry Nathan F. Lepora Wenda Li 0002 Jefrey Lijffijt Ulrike von Luxburg Jesús MaloJesus Malo Callum Mann Paul Marshall Fernando Fernández Martínez Ioannis Mavromatis Elena Fillola Mayoral Ryan McConville Matt McVicar Christopher J. McWilliams Cédric Mesnage Majid Mirmehdi Rafael Molina 0001 Axel Montout Pablo Morales-Alvarez Tashi Namgyal Yizhao Ni Emily Nielsen Aisling Ann O'Kane Arjun Parekh Emilio Parrado-Hernández Jonas Paulavicius Miquel Perelló-Nieto Robert J. Piechocki James Pope Javier Portilla Rafael Poyiadzi Yu Qin Xavier Renard Matthew Rigby Amber Roguski Michal Rolinski Pablo Ruiz 0002 Amarpal Sahota Flora D. Salim Benjamin Arana Sanchez Jonas Schulz James Selwood Shiv Sharma Paolo Simeone Edwin Simpson Phillip Sloan Edward SmallEdward A. SmallEdward Alexander Small Kacper Sokol Hao Song 0007 Katarzyna Stawarz Brian Sullivan Guanxiong Sun Hedi Tabia Andrea Tassi Jonathan D. Thomas Emma TonkinEmma L. Tonkin Niall Twomey Jorge Vila-Tomás Julia E. Vogt Marceli Wac Chris Waller Michelle W. L. WanMichelle Wing Lam Wan Xiaoyang Wang 0005 Sven Wellmann Enrico Werner Patricia West Alan L. Whone Philip Williams Matthew Wragg Taku Yamagata Weisong Yang Yuxuan Ye