| Using Case-Based Reasoning for Capturing Expert Knowledge on Explanation Methods. | 0 | 0.34 | 2022 |
| A Case-Based Approach for the Selection of Explanation Algorithms in Image Classification | 0 | 0.34 | 2021 |
| A Data-Driven Predictive System Using Case-Based Reasoning For The Configuration Of Device-Assisted Back Pain Therapy | 0 | 0.34 | 2021 |
| A Systematic Review on Model-agnostic XAI Libraries. | 0 | 0.34 | 2021 |
| Clood CBR - Towards Microservices Oriented Case-Based Reasoning. | 0 | 0.34 | 2020 |
| CBR-LIME - A Case-Based Reasoning Approach to Provide Specific Local Interpretable Model-Agnostic Explanations. | 4 | 0.60 | 2020 |
| A User-Centric Evaluation to Generate Case-Based Explanations Using Formal Concept Analysis. | 1 | 0.38 | 2020 |
| RecoLibry Suite: a set of intelligent tools for the development of recommender systems | 0 | 0.34 | 2020 |
| SAFEWAY - An explainable context-aware recommender system for safe routes. | 0 | 0.34 | 2019 |
| A Novel Interface for the Explanation of Group Recommendations using Augmented Reality. | 0 | 0.34 | 2019 |
| Workshop preface. | 0 | 0.34 | 2019 |
| RecoLibry-core: A component-based framework for building recommender systems. | 1 | 0.35 | 2019 |
| Assessment Of Machine Learning Performance For Decision Support In Venture Capital Investments | 0 | 0.34 | 2019 |
| Case Base Elicitation for a Context-Aware Recommender System. | 0 | 0.34 | 2018 |
| An architecture and functional description to integrate social behaviour knowledge into group recommender systems | 4 | 0.39 | 2014 |
| CBR Tagging of Emotions from Facial Expressions. | 2 | 0.64 | 2014 |
| Social factors in group recommender systems | 56 | 1.50 | 2013 |
| Using personality to create alliances in group recommender systems | 2 | 0.41 | 2011 |
| HappyMovie: A Facebook Application for Recommending Movies to Groups | 5 | 0.41 | 2011 |
| Taxonomic semantic indexing for textual case-based reasoning | 4 | 0.51 | 2010 |
| Personality and Social Trust in Group Recommendations | 17 | 0.93 | 2010 |
| Personality aware recommendations to groups | 24 | 0.84 | 2009 |
| Natural Language Queries in CBR Systems | 1 | 0.36 | 2007 |
