Explainable Weather Forecasts Through an LSTM-CBR Twin System. - Craig Pirie; Malavika Suresh; Pedram Salimi; Chamath Palihawadana; Gayani Nanayakkara (ICCBR Workshops, 2022)

Addressing Trust and Mutability Issues in XAI utilising Case Based Reasoning. - Pedram Salimi (ICCBR Doctoral Consortium, 2022)

Towards Feasible Counterfactual Explanations: A Taxonomy Guided Template-Based NLG Method. - Pedram Salimi; Nirmalie Wiratunga; David Corsar; Anjana Wijekoon (ECAI, 2023)

Effective features in content-based image retrieval from a combination of low-level features and deep Boltzmann machine. - Fatemeh Taheri; Kambiz Rahbar; Pedram Salimi (Multim. Tools Appl., 2023)

Tell me more: Intent Fulfilment Framework for Enhancing User Experiences in Conversational XAI. - Anjana Wijekoon; David Corsar; Nirmalie Wiratunga; Kyle Martin; Pedram Salimi (CoRR, 2024)

Natural XAI: Generating Feasible, Actionable, and Causally-Aware Counterfactual Explanations in Natural Language (Short Paper). - Pedram Salimi (ICCBR Workshops, 2025)

Agentic CBR in Action: Empowering Loan Approvals Through Interactive, Counterfactual Explanations. - Pedram Salimi; Nirmalie Wiratunga; David Corsar (ICCBR Workshops, 2025)