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Publication search results
found 12 matches
- 2021
- Wei Pang, Milan Markovic, Iman Naja, Chiu Pang Fung, Peter Edwards:
On Evidence Capture for Accountable AI Systems. SICSA XAI 2021: 33-39 - Alexander E. I. Brownlee, Aidan Wallace, David E. Cairns:
Mining Markov Network Surrogates to Explain the Results of Metaheuristic Optimisation. SICSA XAI 2021: 64-70 - Miruna Clinciu, Arash Eshghi, Helen Hastie:
I don't understand! Evaluation Methods for Natural Language Explanations. SICSA XAI 2021: 17-24 - 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: 56-63 - Andrew M. Fagan, Graeme M. West, Stephen D. J. McArthur:
Human-in-the-Loop Approach to Digitisation of Engineering Drawings. SICSA XAI 2021: 48-55 - James Forrest, Somayajulu Sripada, Wei Pang, George M. Coghill:
Are Contrastive Explanations Useful? SICSA XAI 2021: 9-16 - Chiu Pang Fung, Wei Pang, Iman Naja, Milan Markovic, Peter Edwards:
Towards Accountability Driven Development for Machine Learning Systems. SICSA XAI 2021: 25-32 - Martin Fyvie, John A. W. McCall, Lee A. Christie:
Non-Deterministic Solvers and Explainable AI through Trajectory Mining. SICSA XAI 2021: 75-78 - Rachana R. Patel:
Use of Explainable AI to Refine Artificial Immune System Algorithms. SICSA XAI 2021: 71-74 - 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: 1-8 - Agne Zainyte, Wei Pang:
Challenges and Future Directions for Accountable Machine Learning. SICSA XAI 2021: 40-47 - Kyle Martin, Nirmalie Wiratunga, Anjana Wijekoon:
Proceedings of the SICSA eXplainable Artifical Intelligence Workshop 2021, Aberdeen, United Kingdom, June 1st, 2021. CEUR Workshop Proceedings 2894, CEUR-WS.org 2021 [contents]
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