Case-Based Reasoning Research and Development: 31st International Conference, ICCBR 2023, Aberdeen, UK, July 17–20, 2023, Proceedings: Lecture Notes in Computer Science, cartea 14141
Editat de Stewart Massie, Sutanu Chakrabortien Limba Engleză Paperback – 30 iul 2023
The 26 full papers included in this book were carefully reviewed and selected from 79 submissions. The papers have been organized in topical sections as follows: CBR and deep learning; representation and similarity; CBR and explainable AI; case base maintenance; adaptation: techniques and application; and case-based applications.
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Specificații
ISBN-13: 9783031401763
ISBN-10: 303140176X
Ilustrații: XI, 426 p. 131 illus., 96 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.61 kg
Ediția:1st ed. 2023
Editura: Springer Nature Switzerland
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence
Locul publicării:Cham, Switzerland
ISBN-10: 303140176X
Ilustrații: XI, 426 p. 131 illus., 96 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.61 kg
Ediția:1st ed. 2023
Editura: Springer Nature Switzerland
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence
Locul publicării:Cham, Switzerland
Cuprins
CBR and Deep Learning.- Examining the Impact of Network Architecture on Extracted Feature Quality for CBR.- Synergies between Case-based Reasoning and Deep Learning for Survival Analysis in Oncology.- CBR Assisted Context-Aware Surface Realisation for Data-to-Text Generation.- Representation and Similarity.- Explanation of Similarities in Process-Oriented Case-Based Reasoning by Visualization.- On-demand and model-driven case building based on distributed data sources.- The Case for Circularities in Case-Based Reasoning.- A Contextual Information-augmented Probabilistic Case-based Reasoning Model for Knowledge Graph Reasoning.- Case-based Sample Generation using Multi-Armed Bandits.- Hybrid Event Memory as a Case Base for State Estimation in Cognitive Agents.- CBR and Explainable AI Cases are King: A User Study of Case Presentation to Explain CBR Decisions.- CBR driven Interactive Explainable AI.- Selecting Explanation Methods for Intelligent IoT Systems: a Case-Based Reasoning Approach.- Case Based Explanation for Time Series Forecasting Models.- Case Base Maintenance.- Group Fairness in Case-Based Reasoning.- Addressing Underestimation Bias in CBR through Case-Base Maintenance.- The Problem Drift Problem and First Steps Towards Addressing It.- Adaptation: Techniques and Application Case-Based Adaptation of Argument Graphs with WordNet and Large Language Models.- Failure-Driven Transformational Case Reuse of Explanation Strategies in CloodCBR.- A Case-Based Approach for Workflow Flexibility by Deviation.- Lazy Adaptation Knowledge Learning based on Frequent Closed Itemsets.- Case-Based Applications.- An Overview and Comparison of Case-Based Reasoning Frameworks.- Case-Based Cleaning of Text Images.- A Multi-agent Case-based Reasoning Intrusion Detection System Prototype.- A Case-Based Reasoning Approach to Company Sector Classification Using a Novel Time-Series Case Representation.- An Integrated Approach to Predicting the Influence of Reputation Mechanisms on Q&A Communities.- Retrieval of similar cases to improve the diagnosis of diabetic retinopathy.