Explainable AI Through an LSTM-CBR Twin System
🚧 Under Construction 🚧
- Created an LSTM-CBR twin system for explaining time-series forecasts
- Proved that using LSTM feature embeddings improves CBR explanations
- Showed how visualisations and NLG can help enrich the explanations given
Team: Craig Pirie (RGU), Malavika Suresh (RGU),Pedram Salami (RGU), Gayani Nanayakkara (RGU) and Chamath Palihawadana (RGU)
2nd Place winners at ICCBR Conference XCBR Challenge 2022.