Kerstin Bach kerstin.bach@ntnu.no 0 2 Stelios Kapetanakis 1 2 Norwegian University of Science and Technology (NTNU) , Høgskoleringen 1, Trondheim, 7034 , Norway The University of Brighton , Lewes Road, Brighton, BN2 4AT , UK methods. Craig Pirie , Michael Clemens, Greta Warren, Pedram Salimi, Malavika Suresh, Eoin 2022

The thirteenth Doctoral Consortium (DC) was held on September 11-12 2022 in Nancy, France, as part of the 30th International Conference on Case-Based Reasoning. The thirteenth ICCBR Doctoral Consortium (DC) was held in September 2022 in Nancy, France. After two years of virtual conferences, in 2022 ICCBR and the DC resumed as an on-site and hybrid event. Since ICCBR 2009, the DC has been an integral part of the annual Case-Based Reasoning conference inviting Ph.D. candidates to submit their research statements to be discussed with senior members of the community.

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We are thankful to the AI Journal for their support of the DC. Together with support from the ICCBR 2022 organizers, we received funding that allowed us to waive the registration fees and cover the accommodation for DC participants. Furthermore, we would like to thank the 17 PC members who gave detailed and valueable feedback on the research statement.

Thank you to all of the students, mentors, and program committee members who worked so hard to make the DC a success.

 Kerstin Bach and Stelios Kapetanakis Nancy, France, September 2022

Program Committee • David Aha, Naval Research Laboratory, USA • Klaus-Dieter Althof, DFKI / University of Hildesheim, Germany • Isabelle Bichindaritz, SUNY Oswego, USA • Sutanu Chakraborti, IIT Madras, India • Sarah Jane Delany, Technological University Dublin, Ireland • Mark Keane, University College Dublin, Ireland • David Leake, Indiana University, USA • Jean Lieber, Université de Lorraine, France • Kyle Martin, Robert Gordon University Aberdeen, Scotland • Stewart Massie, Robert Gordon University Aberdeen, Scotland • Mirjam Minor, Goethe University Frankfurt, Germany • Stefania Montani, Università del Piemonte Orientale, Italy • Juan Antonio Recio Garcia, University Complutense of Madrid, Spain • Antonio Sanchez, University Complutense of Madrid, Spain • Barry Smyth, University College Dublin, Ireland • Rosina Weber, Drexel University, USA • David Wilson, University of North Carolina at Charlotte, USA The Three E’s of Explainability in Collaborative Computational Co-Creativity: Emotionality, Efectiveness, and Explicitness . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

Michael Clemens Case-based Explanation for Black-Box Time Series and Image Models with Applications in Smart Agriculture . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

Eoin Delaney 1 7 Counterfactual Explanations for eXplainable AI (XAI) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31

Greta Warren The Use of Case-Based Reasoning for Personalizing Musculoskeletal Pain Treatment Recommendations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42

Paola Marin

 Explaining and Upsampling Anomalies in Time Series Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 Craig Pirie Addressing Trust and Mutability Issues in XAI utilising Case Based Reasoning . . . . . . . . . . 19 Pedram Salimi CBR For Interpretable Response Selection In Conversational Modelling . . . . . . . . . . . . . . . . . 25 Malavika Suresh Using Machine Learning Techniques to Support Marathon Runners . . . . . . . . . . . . . . . . . . . . 36 Ciara Feely Developing a Decision Support System leveraging Distributed and Heterogeneous Sources: Case-Based Reasoning for Manufacturing Incident Handling . . . . . . . . . . . . . . . . . . 48 Mark van der Pas DL-CBR Hybridization for Feature Generation and Similarity Assessment . . . . . . . . . . . . . . . 54 Zachary Wilkerson