ICCBR-DC 2022
ICCBR 2022 Doctoral Consortium

Table of Contents

• Preface and Table of Contents1-3
  Summary: There were 48 papers submitted for peer-reviews to the workshops. Out of these, 10 papers were accepted for this volume as short papers.

Doctoral Consortium

• The Three E´s of Explainability in Collaborative Computational Co-Creativity: Emotionality, Effectiveness, and Explicitness 4-9
  Michel P. Clemens
• Case-based Explanations for Black-Box Time Series and Image Models with Applications in Smart Agriculture 10-15
  Eoin Delaney
• Explaining and Upsampling Anomalies in Time-Series Sensor Data 16-21
  Craig Pirie
• Addressing Trust and Mutability Issues in XAI utilising Case Based Reasoning 22-27
  Pedram Salimi
• CBR For Interpretable Response Selection In Conversational Modelling 28-33
  Malavika Sureah
• Counterfactual Explanations for eXplainable AI (XAI) 34-39
  Greta Warren
• Using Machine Learning Techniques to Support Marathon Runners 40-45
  Ciara Feely
• The Use of Case-Based Reasoning for Personalizing Musculoskeletal Pain Treatment Recommendations 46-51
  Paola Marín-Veites
• Developing a Decision Support System leveraging Distributed and Heterogeneous Sources: Case-Based Reasoning for Manufacturing Incident Handling 52-56
  M. van der Pas
• DL-CBR Hybridization for Feature Generation and Similarity Assessment 57-62
  Zachary Wilkerson