Browse

Towards feasible counterfactual explanations: a taxonomy guided template-based NLG method. (2023)
Conference Proceeding
SALIMI, P., WIRATUNGA, N., CORSAR, D. and WIJEKOON, A. 2023. Towards feasible counterfactual explanations: a taxonomy guided template-based NLG method. To be presented at the 26th European conference on artificial intelligence 2023 (ECAI-2023), 30 September - 5 October 2023, Kraków, Poland.

Counterfactual Explanations (cf-XAI) describe the smallest changes in feature values necessary to change an outcome from one class to another. However, presently many cf-XAI methods neglect the feasibility of those changes. In this paper, we introduc... Read More about Towards feasible counterfactual explanations: a taxonomy guided template-based NLG method..

Explainable weather forecasts through an LSTM-CBR twin system. (2023)
Conference Proceeding
PIRIE, C., SURESH, M., SALIMI, P., PALIHAWADANA, C. and NANAYAKKARA, G. 2022. Explainable weather forecasts through an LSTM-CBR twin system. In Reuss, P. and Schönborn, J. (eds.) ICCBR-WS 2022: proceedings of the 30th International conference on Case-based reasoning workshops 2022 (ICCBR-WS 2022) co-located with the 30th International conference on Case-based reasoning 2022 (ICCBR 2022), 12-15 September 2022, Nancy, France. Aachen: CEUR workshop proceedings [online], 3389, pages 256-260. Available from: https://ceur-ws.org/Vol-3389/ICCBR_2022_XCBR_Challenge_RGU.pdf

In this paper, we explore two methods for explaining LSTM-based temperature forecasts using previous 14 day progressions of humidity and pressure. First, we propose and evaluate an LSTM-CBR twin system that generates nearest-neighbors that can be vis... Read More about Explainable weather forecasts through an LSTM-CBR twin system..

Addressing trust and mutability issues in XAI utilising case based reasoning. (2022)
Conference Proceeding
SALIMI, P. 2022. Addressing trust and mutability issues in XAI utilising case based reasoning. In Reuss, P. and Schönborn, J. (eds). ICCBR-DC 2022: proceedings of the 30th International conference on case-based reasoning doctorial consortium 2022 (ICCBR-DC 2022), co-located with the 30th International conference on case-based reasoning 2022 (ICCBR 2022), 12-15 September 2022, Nancy, France. Aachen: CEUR workshop proceedings [online], 3418, pages 22-27. Available from: https://ceur-ws.org/Vol-3418/ICCBR_2022_DC_paper19.pdf

Explainable AI (XAI) research is required to ensure that explanations are human readable and understandable. The present XAI approaches are useful for observing and comprehending some of the most important underlying properties of any Black-box AI mo... Read More about Addressing trust and mutability issues in XAI utilising case based reasoning..