Interpretable representations in explainable AI: From theory to practice K Sokol, P Flach Data Mining and Knowledge Discovery, 1-39, 2024 | 5 | 2024 |
Reconciling Training and Evaluation Objectives in Location Agnostic Surrogate Explainers M Clifford, J Erskine, A Hepburn, P Flach, R Santos-Rodríguez Proceedings of the 32nd ACM International Conference on Information and …, 2023 | | 2023 |
An active semi-supervised deep learning model for human activity recognition H Bi, M Perello-Nieto, R Santos-Rodriguez, P Flach, I Craddock Journal of Ambient Intelligence and Humanized Computing 14 (10), 13049-13065, 2023 | 16 | 2023 |
Classifier calibration: a survey on how to assess and improve predicted class probabilities T Silva Filho, H Song, M Perello-Nieto, R Santos-Rodriguez, M Kull, ... Machine Learning 112 (9), 3211-3260, 2023 | 60* | 2023 |
Shapley Sets: Feature Attribution via Recursive Function Decomposition T Sivill, P Flach arXiv preprint arXiv:2307.01777, 2023 | 1 | 2023 |
Simply Logical–The First Three Decades P Flach, K Sokol, J Wielemaker Prolog: The Next 50 Years, 184-193, 2023 | 5 | 2023 |
MIDI-Draw: Sketching to Control Melody Generation T Namgyal, P Flach, R Santos-Rodriguez arXiv preprint arXiv:2305.11605, 2023 | 1 | 2023 |
Co-designing opportunities for Human-Centred Machine Learning in supporting Type 1 diabetes decision-making K Stawarz, D Katz, A Ayobi, P Marshall, T Yamagata, R Santos-Rodriguez, ... International Journal of Human-Computer Studies 173, 103003, 2023 | 6 | 2023 |
Toward Enhanced Clinical Decision Support for Patients Undergoing a Hip or Knee Replacement: Focus Group and Interview Study With Surgeons S Grant, E Tonkin, I Craddock, A Blom, M Holmes, A Judge, A Masullo, ... JMIR Perioperative Medicine 6 (1), e36172, 2023 | | 2023 |
Collecting food and drink intake data with voice input: development, usability, and acceptability study LAC Millard, L Johnson, SR Neaves, PA Flach, K Tilling, DA Lawlor JMIR mHealth and uHealth 11 (1), e41117, 2023 | 1 | 2023 |
A multi-sensor dataset with annotated activities of daily living recorded in a residential setting EL Tonkin, M Holmes, H Song, N Twomey, T Diethe, M Kull, ... Scientific Data 10 (1), 162, 2023 | 2 | 2023 |
When the Ground Truth is not True: Modelling Human Biases in Temporal Annotations T Yamagata, EL Tonkin, BA Sanchez, I Craddock, MP Nieto, ... 2023 IEEE International Conference on Pervasive Computing and Communications …, 2023 | | 2023 |
Empirical Evaluation of Predictive Models: A keynote at ECIR 2022 P Flach ACM SIGIR Forum 56 (1), 1-5, 2023 | | 2023 |
Recognizing human activities with attention mechanism on multi-source sensor data H Bi, M Perello-Nieto, E Tonkin, R Santos-Rodriguez, P Flach, I Craddock Third International Conference on Computer Science and Communication …, 2022 | | 2022 |
FAT Forensics: A Python toolbox for algorithmic fairness, accountability and transparency K Sokol, R Santos-Rodriguez, P Flach Software Impacts 14, 100406, 2022 | 60* | 2022 |
What and how of machine learning transparency: Building bespoke explainability tools with interoperable algorithmic components K Sokol, A Hepburn, R Santos-Rodriguez, P Flach arXiv preprint arXiv:2209.03813, 2022 | 6 | 2022 |
Self-Enhancer: A Self-supervised Framework for Low-Supervision, Drifted Data with Significant Missing Values Y Chen, P Flach International Conference on Artificial Neural Networks, 455-458, 2022 | | 2022 |
Understanding Reinforcement Learning Based Localisation as a Probabilistic Inference Algorithm T Yamagata, R Santos-Rodríguez, R Piechocki, P Flach International Conference on Artificial Neural Networks, 111-122, 2022 | | 2022 |
Simply Logical--Intelligent Reasoning by Example (Fully Interactive Online Edition) P Flach, K Sokol arXiv preprint arXiv:2208.06823, 2022 | 3 | 2022 |
“Alexa, I just ate a donut”: A pilot study collecting food and drink intake data with voice input LAC Millard, L Johnson, SR Neaves, PA Flach, K Tilling, DA Lawlor medRxiv, 2022.06. 28.22276999, 2022 | | 2022 |