SICSA XAI

Publications

2021

Alexander E. I. Brownlee, Aidan Wallace, David E. Cairns
Mining Markov Network Surrogates to Explain the Results of Metaheuristic Optimisation. SICSA XAI (2021)
Rachana R. Patel
Use of Explainable AI to Refine Artificial Immune System Algorithms. SICSA XAI (2021)
Joan Espasa, Ian P. Gent, Ruth Hoffmann, Christopher Jefferson, Matthew J. McIlree, Alice M. Lynch
Explaining Pen and Paper Puzzles with MUSes? SICSA XAI (2021)
Chiu Pang Fung, Wei Pang, Iman Naja, Milan Markovic, Peter Edwards
Towards Accountability Driven Development for Machine Learning Systems. SICSA XAI (2021)
Agne Zainyte, Wei Pang
Challenges and Future Directions for Accountable Machine Learning. SICSA XAI (2021)
James Forrest, Somayajulu Sripada, Wei Pang, George M. Coghill
Are Contrastive Explanations Useful? SICSA XAI (2021)
Wei Pang, Milan Markovic, Iman Naja, Chiu Pang Fung, Peter Edwards
On Evidence Capture for Accountable AI Systems. SICSA XAI (2021)
Anjana Wijekoon, Nirmalie Wiratunga, Ikechukwu Nkisi-Orji, Kyle Martin, Chamath Palihawadana, David Corsar
Counterfactual Explanations for Student Outcome Prediction with Moodle Footprints. SICSA XAI (2021)
Andrew M. Fagan, Graeme M. West, Stephen D. J. McArthur
Human-in-the-Loop Approach to Digitisation of Engineering Drawings. SICSA XAI (2021)
Martin Fyvie, John A. W. McCall, Lee A. Christie
Non-Deterministic Solvers and Explainable AI through Trajectory Mining. SICSA XAI (2021)
Miruna Clinciu, Arash Eshghi, Helen Hastie
I don't understand! Evaluation Methods for Natural Language Explanations. SICSA XAI (2021)

volume 2894, 2021

Proceedings of the SICSA eXplainable Artifical Intelligence Workshop 2021, Aberdeen, United Kingdom, June 1st, 2021. SICSA XAI 2894 (2021)