Kacper Sokol
Title
Cited by
Cited by
Year
Glass-Box: Explaining AI Decisions With Counterfactual Statements Through Conversation With a Voice-enabled Virtual Assistant.
K Sokol, PA Flach
IJCAI, 5868-5870, 2018
142018
Explainability fact sheets: a framework for systematic assessment of explainable approaches
K Sokol, P Flach
Proceedings of the 2020 Conference on Fairness, Accountability, and …, 2020
92020
Releasing eHealth analytics into the wild: Lessons learnt from the SPHERE project
T Diethe, M Holmes, M Kull, M Perello Nieto, K Sokol, H Song, E Tonkin, ...
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
92018
FACE: Feasible and actionable counterfactual explanations
R Poyiadzi, K Sokol, R Santos-Rodriguez, T De Bie, P Flach
Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 344-350, 2020
82020
Conversational Explanations of Machine Learning Predictions Through Class-contrastive Counterfactual Statements.
K Sokol, PA Flach
IJCAI, 5785-5786, 2018
82018
FAT Forensics: A Python Toolbox for Algorithmic Fairness, Accountability and Transparency
K Sokol, R Santos-Rodriguez, P Flach
arXiv preprint arXiv:1909.05167, 2019
62019
Counterfactual Explanations of Machine Learning Predictions: Opportunities and Challenges for AI Safety
K Sokol, PA Flach
SafeAI 2019: AAAI Workshop on Artificial Intelligence Safety 2301 (urn:nbn …, 2019
52019
One Explanation Does Not Fit All
K Sokol, P Flach
KI-Künstliche Intelligenz, 1-16, 2020
42020
bLIMEy: Surrogate Prediction Explanations Beyond LIME
K Sokol, A Hepburn, R Santos-Rodriguez, P Flach
2019 Workshop on Human-Centric Machine Learning (HCML 2019) at the 33rd …, 2019
42019
Fairness, Accountability and Transparency in Artificial Intelligence: A Case Study of Logical Predictive Models
K Sokol
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 541-542, 2019
12019
FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive Systems
K Sokol, A Hepburn, R Poyiadzi, M Clifford, R Santos-Rodriguez, P Flach
Journal of Open Source Software 5 (49), 1904, 2020
2020
LIMEtree: Interactively Customisable Explanations Based on Local Surrogate Multi-output Regression Trees
K Sokol, P Flach
arXiv preprint arXiv:2005.01427, 2020
2020
HyperStream: a Workflow Engine for Streaming Data
T Diethe, M Kull, N Twomey, K Sokol, H Song, M Perello-Nieto, E Tonkin, ...
arXiv preprint arXiv:1908.02858, 2019
2019
Desiderata for Interpretability: Explaining Decision Tree Predictions with Counterfactuals
K Sokol, P Flach
Proceedings of the AAAI Conference on Artificial Intelligence 33, 10035-10036, 2019
2019
The Role of Textualisation and Argumentation in Understanding the Machine Learning Process.
K Sokol, PA Flach
IJCAI, 5211-5212, 2017
2017
The role of textualisation and argumentation in understanding the machine learning process: a position paper
K Sokol, P Flach
Automated Reasoning Workshop 2017 (ARW’17), 11-12, 2017
2017
Activity recognition in multiple contexts for smart-house data
K Sokol, P Flach
26th International Conference on Inductive Logic Programming, 2016
2016
Activity Recognition in Multiple Contexts for Smart-House Data.
K Sokol, PA Flach
ILP (Short Papers) 1865 (urn:nbn:de:0074-1865-4), 66-72, 2016
2016
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