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07/04/2023
Shapley Sets: Feature Attribution via Recursive Function Decomposition
Despite their ubiquitous use, Shapley value feature attributions can be ...
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05/19/2023
MIDI-Draw: Sketching to Control Melody Generation
We describe a proof-of-principle implementation of a system for drawing ...
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02/06/2023
When the Ground Truth is not True: Modelling Human Biases in Temporal Annotations
In supervised learning, low quality annotations lead to poorly performin...
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09/08/2022
What and How of Machine Learning Transparency: Building Bespoke Explainability Tools with Interoperable Algorithmic Components
Explainability techniques for data-driven predictive models based on art...
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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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08/14/2022
Simply Logical – Intelligent Reasoning by Example (Fully Interactive Online Edition)
"Simply Logical – Intelligent Reasoning by Example" by Peter Flach was f...
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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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12/29/2021
Explainability Is in the Mind of the Beholder: Establishing the Foundations of Explainable Artificial Intelligence
Explainable artificial intelligence and interpretable machine learning a...
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12/20/2021
Classifier Calibration: How to assess and improve predicted class probabilities: a survey
This paper provides both an introduction to and a detailed overview of t...
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11/09/2021
Risk Sensitive Model-Based Reinforcement Learning using Uncertainty Guided Planning
Identifying uncertainty and taking mitigating actions is crucial for saf...
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07/02/2021
You Only Write Thrice: Creating Documents, Computational Notebooks and Presentations From a Single Source
Academic trade requires juggling multiple variants of the same content p...
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10/13/2020
Model-Based Reinforcement Learning for Type 1Diabetes Blood Glucose Control
In this paper we investigate the use of model-based reinforcement learni...
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08/16/2020
Towards Faithful and Meaningful Interpretable Representations
Interpretable representations are the backbone of many black-box explain...
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05/04/2020
LIMEtree: Interactively Customisable Explanations Based on Local Surrogate Multi-output Regression Trees
Systems based on artificial intelligence and machine learning models sho...
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01/27/2020
One Explanation Does Not Fit All: The Promise of Interactive Explanations for Machine Learning Transparency
The need for transparency of predictive systems based on Machine Learnin...
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12/11/2019
Explainability Fact Sheets: A Framework for Systematic Assessment of Explainable Approaches
Explanations in Machine Learning come in many forms, but a consensus reg...
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10/29/2019
bLIMEy: Surrogate Prediction Explanations Beyond LIME
Surrogate explainers of black-box machine learning predictions are of pa...
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10/28/2019
Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration
Class probabilities predicted by most multiclass classifiers are uncalib...
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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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09/11/2019
FAT Forensics: A Python Toolbox for Algorithmic Fairness, Accountability and Transparency
Machine learning algorithms can take important decisions, sometimes lega...
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08/07/2019
HyperStream: a Workflow Engine for Streaming Data
This paper describes HyperStream, a large-scale, flexible and robust sof...
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05/15/2019
Distribution Calibration for Regression
We are concerned with obtaining well-calibrated output distributions fro...
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03/10/2019
β^3-IRT: A New Item Response Model and its Applications
Item Response Theory (IRT) aims to assess latent abilities of respondent...
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06/20/2018
Non-Parametric Calibration of Probabilistic Regression
The task of calibration is to retrospectively adjust the outputs from a ...
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09/19/2017
CASP-DM: Context Aware Standard Process for Data Mining
We propose an extension of the Cross Industry Standard Process for Data ...
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02/04/2017
Probabilistic Sensor Fusion for Ambient Assisted Living
There is a widely-accepted need to revise current forms of health-care p...
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12/12/2011
Threshold Choice Methods: the Missing Link
Many performance metrics have been introduced for the evaluation of clas...
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07/29/2011