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Including social factors in an argumentative model for Group Decision Support Systems

Decision Support Systems, 2013-12, Vol.56, p.48-55

2013

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Case-Based Reasoning Research and Development: 32nd International Conference, ICCBR 2024, Merida, Mexico, July 1-4, 2024, Proceedings

1, 2024

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Explainable Prediction of Chronic Renal Disease in the Colombian Population Using Neural Networks and Case-Based Reasoning

IEEE access, 2019, Vol.7, p.152900-152910

2019

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Assessment of Machine Learning Performance for Decision Support in Venture Capital Investments

IEEE access, 2019, Vol.7, p.124233-124243

2019

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Development of a group recommender application in a Social Network

Knowledge-based systems, 2014-11, Vol.71, p.72-85

2014

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A Hybrid CBR Approach for the Long Tail Problem in Recommender Systems

Case-Based Reasoning Research and Development, p.35-45

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A data-driven predictive system using Case-Based Reasoning for the configuration of device-assisted back pain therapy

Journal of experimental & theoretical artificial intelligence, 2021-07, Vol.33 (4), p.617-635

2021

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RecoLibry-core: A component-based framework for building recommender systems

Knowledge-based systems, 2019-10, Vol.182, p.104854, Article 104854

2019

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Use Case-Specific Reuse of XAI Strategies: Design and Analysis Through an Evaluation Metrics Library

Case-Based Reasoning Research and Development, 2024, p.81-95

2024

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RecoLibry Suite: a set of intelligent tools for the development of recommender systems

Automated software engineering, 2020-06, Vol.27 (1-2), p.63-89

2020

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Make it personal: A social explanation system applied to group recommendations

Expert systems with applications, 2017-06, Vol.76, p.36-48

2017

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Becalm: Intelligent Monitoring of Respiratory Patients

IEEE journal of biomedical and health informatics, 2023-08, Vol.27 (8), p.3806-3817

2023

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STEG-XAI: explainable steganalysis in images using neural networks

Multimedia tools and applications, 2024-05, Vol.83 (17), p.50601-50618

2024

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A graph-based approach for minimising the knowledge requirement of explainable recommender systems

Knowledge and information systems, 2023-10, Vol.65 (10), p.4379-4409

2023

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Improving Complex Adaptations in Process-Oriented Case-Based Reasoning by Applying Rule-Based Adaptation

Case-Based Reasoning Research and Development, 2024, p.50-66

2024

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Case-based selection of explanation methods for neural network image classifiers

Knowledge-based systems, 2024-03, Vol.288, p.111469, Article 111469

2024

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The Intelligent Tutoring System AI-VT with Case-Based Reasoning and Real Time Recommender Models

Case-Based Reasoning Research and Development, 2024, p.191-205

2024

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Integrating kNN Retrieval with Inference on Graphical Models in Case-Based Reasoning

Case-Based Reasoning Research and Development, 2024, p.1-16

2024

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Identifying Missing Sensor Values in IoT Time Series Data: A Weight-Based Extension of Similarity Measures for Smart Manufacturing

Case-Based Reasoning Research and Development, 2024, p.240-257

2024

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CBR-Ren: A Case-Based Reasoning Driven Retriever-Generator Model for Hybrid Long-Form Numerical Reasoning

Case-Based Reasoning Research and Development, 2024, p.111-126

2024

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Retrieval Augmented Generation with LLMs for Explaining Business Process Models

Case-Based Reasoning Research and Development, 2024, p.175-190

2024

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Towards a Case-Based Support for Responding Emergency Calls

Case-Based Reasoning Research and Development, 2024, p.273-288

2024

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Visualization of Similarity Models for CBR Comprehension and Maintenance

Case-Based Reasoning Research and Development, 2024, p.67-80

2024

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Item-Specific Similarity Assessments for Explainable Depression Screening

Case-Based Reasoning Research and Development, 2024, p.430-444

2024

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Using Case-Based Causal Reasoning to Provide Explainable Counterfactual Diagnosis in Personalized Sprint Training

Case-Based Reasoning Research and Development, 2024, p.418-429

2024

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Including social factors in an argumentative model for Group Decision Support Systems

Case-Based Reasoning Research and Development: 32nd International Conference, ICCBR 2024, Merida, Mexico, July 1-4, 2024, Proceedings

Explainable Prediction of Chronic Renal Disease in the Colombian Population Using Neural Networks and Case-Based Reasoning

Assessment of Machine Learning Performance for Decision Support in Venture Capital Investments

Development of a group recommender application in a Social Network

A Hybrid CBR Approach for the Long Tail Problem in Recommender Systems

A data-driven predictive system using Case-Based Reasoning for the configuration of device-assisted back pain therapy

RecoLibry-core: A component-based framework for building recommender systems

Use Case-Specific Reuse of XAI Strategies: Design and Analysis Through an Evaluation Metrics Library

RecoLibry Suite: a set of intelligent tools for the development of recommender systems

Make it personal: A social explanation system applied to group recommendations

Becalm: Intelligent Monitoring of Respiratory Patients

STEG-XAI: explainable steganalysis in images using neural networks

A graph-based approach for minimising the knowledge requirement of explainable recommender systems

Improving Complex Adaptations in Process-Oriented Case-Based Reasoning by Applying Rule-Based Adaptation

Case-based selection of explanation methods for neural network image classifiers

The Intelligent Tutoring System AI-VT with Case-Based Reasoning and Real Time Recommender Models

Integrating kNN Retrieval with Inference on Graphical Models in Case-Based Reasoning

Identifying Missing Sensor Values in IoT Time Series Data: A Weight-Based Extension of Similarity Measures for Smart Manufacturing

CBR-Ren: A Case-Based Reasoning Driven Retriever-Generator Model for Hybrid Long-Form Numerical Reasoning

Retrieval Augmented Generation with LLMs for Explaining Business Process Models

Towards a Case-Based Support for Responding Emergency Calls

Visualization of Similarity Models for CBR Comprehension and Maintenance

Item-Specific Similarity Assessments for Explainable Depression Screening

Using Case-Based Causal Reasoning to Provide Explainable Counterfactual Diagnosis in Personalized Sprint Training

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