Abstract is missing.
- Counterfactual Explanations for Student Outcome Prediction with Moodle FootprintsAnjana Wijekoon, Nirmalie Wiratunga, Ikechukwu Nkisi-Orji, Kyle Martin, Chamath Palihawadana, David Corsar. 1-8 [doi]
- Are Contrastive Explanations Useful?James Forrest, Somayajulu Sripada, Wei Pang 0001, George M. Coghill. 9-16 [doi]
- I don't understand! Evaluation Methods for Natural Language ExplanationsMiruna Clinciu, Arash Eshghi, Helen Hastie. 17-24 [doi]
- Towards Accountability Driven Development for Machine Learning SystemsChiu Pang Fung, Wei Pang 0001, Iman Naja, Milan Markovic, Peter Edwards. 25-32 [doi]
- On Evidence Capture for Accountable AI SystemsWei Pang 0001, Milan Markovic, Iman Naja, Chiu Pang Fung, Peter Edwards. 33-39 [doi]
- Challenges and Future Directions for Accountable Machine LearningAgne Zainyte, Wei Pang. 40-47 [doi]
- Human-in-the-Loop Approach to Digitisation of Engineering DrawingsAndrew M. Fagan, Graeme M. West, Stephen D. J. McArthur. 48-55 [doi]
- Explaining Pen and Paper Puzzles with MUSes?Joan Espasa, Ian P. Gent, Ruth Hoffmann, Christopher Jefferson, Matthew J. McIlree, Alice M. Lynch. 56-63 [doi]
- Mining Markov Network Surrogates to Explain the Results of Metaheuristic OptimisationAlexander E. I. Brownlee, Aidan Wallace, David E. Cairns. 64-70 [doi]
- Use of Explainable AI to Refine Artificial Immune System AlgorithmsRachana R. Patel. 71-74 [doi]
- Non-Deterministic Solvers and Explainable AI through Trajectory MiningMartin Fyvie, John A. W. McCall, Lee A. Christie. 75-78 [doi]