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09/08/2022
FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive Systems
Predictive systems, in particular machine learning algorithms, can take ...
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03/30/2022
The Weak Supervision Landscape
Many ways of annotating a dataset for machine learning classification ta...
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03/18/2022
Equitable Ability Estimation in Neurodivergent Student Populations with Zero-Inflated Learner Models
At present, the educational data mining community lacks many tools neede...
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11/17/2021
Uncertainty Quantification of Surrogate Explanations: an Ordinal Consensus Approach
Explainability of black-box machine learning models is crucial, in parti...
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10/18/2021
Domain Generalisation for Apparent Emotional Facial Expression Recognition across Age-Groups
Apparent emotional facial expression recognition has attracted a lot of ...
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07/09/2021
Understanding surrogate explanations: the interplay between complexity, fidelity and coverage
This paper analyses the fundamental ingredients behind surrogate explana...
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06/10/2021
On the overlooked issue of defining explanation objectives for local-surrogate explainers
Local surrogate approaches for explaining machine learning model predict...
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03/03/2021
Statistical Hypothesis Testing for Class-Conditional Label Noise
In this work we aim to provide machine learning practitioners with tools...
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07/03/2020
Detecting Signatures of Early-stage Dementia with Behavioural Models Derived from Sensor Data
There is a pressing need to automatically understand the state and progr...
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09/20/2019
FACE: Feasible and Actionable Counterfactual Explanations
Work in Counterfactual Explanations tends to focus on the principle of "...
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05/31/2019
Ordinal Regression as Structured Classification
This paper extends the class of ordinal regression models with a structu...
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10/24/2018