LEADER 05485nam 22006615 450 001 9910586636203321 005 20251225205508.0 010 $a3-031-14923-8 024 7 $a10.1007/978-3-031-14923-8 035 $a(MiAaPQ)EBC7073388 035 $a(Au-PeEL)EBL7073388 035 $a(CKB)24429528400041 035 $a(PPN)264191390 035 $a(BIP)85351919 035 $a(BIP)85093028 035 $a(DE-He213)978-3-031-14923-8 035 $a(EXLCZ)9924429528400041 100 $a20220813d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCase-Based Reasoning Research and Development $e30th International Conference, ICCBR 2022, Nancy, France, September 12?15, 2022, Proceedings /$fedited by Mark T. Keane, Nirmalie Wiratunga 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (420 pages) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v13405 311 08$aPrint version: Keane, Mark T. Case-Based Reasoning Research and Development Cham : Springer International Publishing AG,c2022 9783031149221 320 $aIncludes bibliographical references and index. 327 $aExplainability 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. 330 $aThis book constitutes the proceedings of the 30th International Conference on Case-Based Reasoning, ICCBR 2022, which took place in Nancy, France, during September 12-15, 2022. The theme of ICCBR 2022 was Global Challenges for CBR aiming to consider how CBR can and might contribute to challenges in sustainability, climate change, and global health. The 26 papers presented in this volume were carefully reviewed and selected from 68 submissions. They deal with AI and related research focusing on comparison and integration of CBR with other AI methods such as deep learning architectures, reinforcement learning, lifelong learning, and eXplainable AI (XAI). 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v13405 606 $aArtificial intelligence 606 $aInformation technology$xManagement 606 $aComputer engineering 606 $aComputer networks 606 $aArtificial Intelligence 606 $aComputer Application in Administrative Data Processing 606 $aComputer Engineering and Networks 615 0$aArtificial intelligence. 615 0$aInformation technology$xManagement. 615 0$aComputer engineering. 615 0$aComputer networks. 615 14$aArtificial Intelligence. 615 24$aComputer Application in Administrative Data Processing. 615 24$aComputer Engineering and Networks. 676 $a153.43 676 $a006.333 702 $aKeane$b Mark T.$f1961- 702 $aWiratunga$b Nirmalie 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910586636203321 996 $aCase-Based Reasoning Research and Development$9771966 997 $aUNINA