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Produktbild: Case-Based Reasoning Research and Development
Band 13405

Case-Based Reasoning Research and Development 30th International Conference, ICCBR 2022, Nancy, France, September 12–15, 2022, Proceedings

Aus der Reihe Lecture Notes in Artificial Intelligence

Fr. 112.00

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

14.08.2022

Abbildungen

XIX, 412 p. 127 illus., 108 illus. in color.

Herausgeber

Mark T. Keane + weitere

Verlag

Springer

Seitenzahl

412

Maße (L/B/H)

23.5/15.5/2.4 cm

Gewicht

651 g

Auflage

1st ed. 2022

Sprache

Englisch

ISBN

978-3-031-14922-1

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

14.08.2022

Abbildungen

XIX, 412 p. 127 illus., 108 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

412

Maße (L/B/H)

23.5/15.5/2.4 cm

Gewicht

651 g

Auflage

1st ed. 2022

Sprache

Englisch

ISBN

978-3-031-14922-1

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Case-Based Reasoning Research and Development
  • Explainability in CBR Using Case-based Reasoning for Capturing Expert Knowledge on Explanation Methods.- A Few Good Counterfactuals: Generating Interpretable, Plausible and Diverse Counterfactual Explanations.- How close is too close? The Role of Feature Attributions in Discovering Counterfactual Explanations.- Algorithmic Bias and Fairness in Case-Based Reasoning.- ”Better” Counterfactuals, Ones People Can Understand: Psychologically-Plausible Case-Based Counterfactuals Using Categorical Features for Explainable AI (XAI).- Representation and Similarity Extracting Case Indices from Convolutional Neural Networks: A Comparative Study.- Exploring the Effect of Recipe Representation on Critique-based Conversational Recommendation.- Explaining CBR Systems Through Retrieval and Similarity Measure Visualizations: A Case Study.- Adapting Semantic Similarity Methods for Case-Based Reasoning in the Cloud.- Adaptation and Analogical Reasoning Case Adaptation with Neural Networks: Capabilities andLimitations.- A Deep Learning Approach to Solving Morphological Analogies.- Theoretical and Experimental Study of a Complexity Measure for Analogical Transfer.- Graphs and Optimisation Case-Based Learning and Reasoning Using Layered Boundary Multigraphs.- swarm optimization in small case bases for software effort estimation.- MicroCBR: Case-based Reasoning on Spatio-temporal Fault Knowledge Graph for Microservices Troubleshooting.- GPU-Based Graph Matching for Accelerating Similarity Assessment in Process-Oriented Case-Based Reasoning.- Never judge a case by its (unreliable) neighbors: Estimating Case Reliability for CBR.- CBR and Neural Networks Improving Automated Hyperparameter Optimization with Case-Based Reasoning.- A factorial study of neural network learning from differences for regression.- ase-Based Inverse Reinforcement Learning Using Temporal Coherence.- Analogy-based post-treatment of CNN image segmentations.- Case-Based Applications An Extended Case-Based Reasoning Approach to Race-Time Prediction in Recreational Marathon Runners.- Forecasting for Sustainable Dairy Produce: Enhanced Long-Term, Milk-Supply Forecasting Using k-NN for Data Augmentation, with Prefactual Explanations for XAI.- A Case-Based Approach for Content Planning in Data-to-Text Generation.- The use of computer-assisted Case-Based Reasoning to support clinical decision-making – a scoping review.