01065nam0-2200349---450-99001006397040332120160418150239.0978-88-917-1329-2001006397FED01001006397(Aleph)001006397FED0100100639720160418d2015----km-y0itay50------baitaITy-------001yy<<La >>cultura economica tra le due guerrea cura di Piero Barucci, Simone Misiani, Manuela MoscaMilanoFrancoAngeli2015568 p.24 cmBiblioteca storica degli economisti italiani1ItaliaStoria economica1919-1950330.94509122itaBarucci,Piero<1933- >Misiani,Simone<1966- >Mosca,ManuelaITUNINAREICATUNIMARCBK990010063970403321XI A 2848987/2016FSPBCFSPBCCultura economica tra le due guerre1475083UNINA05333nam 22006375 450 991087219410332120250806175942.03-031-63797-610.1007/978-3-031-63797-1(CKB)32775557100041(MiAaPQ)EBC31523154(Au-PeEL)EBL31523154(DE-He213)978-3-031-63797-1(EXLCZ)993277555710004120240710d2024 u| 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierExplainable Artificial Intelligence Second World Conference, xAI 2024, Valletta, Malta, July 17–19, 2024, Proceedings, Part II /edited by Luca Longo, Sebastian Lapuschkin, Christin Seifert1st ed. 2024.Cham :Springer Nature Switzerland :Imprint: Springer,2024.1 online resource (0 pages)Communications in Computer and Information Science,1865-0937 ;21543-031-63796-8 -- XAI for graphs and Computer vision. -- Model-Agnostic Knowledge Graph Embedding Explanations for Recommender Systems. -- Graph-Based Interface for Explanations by Examples in Recommender Systems: A User Study. -- Explainable AI for Mixed Data Clustering. -- Explaining graph classifiers by unsupervised node relevance attribution. -- Explaining Clustering of Ecological Momentary Assessment through Temporal and Feature-based Attention. -- Graph Edits for Counterfactual Explanations: A comparative study. -- Model guidance via explanations turns image classifiers into segmentation models. -- Understanding the Dependence of Perception Model Competency on Regions in an Image. -- A Guided Tour of Post-hoc XAI Techniques in Image Segmentation. -- Explainable Emotion Decoding for Human and Computer Vision. -- Explainable concept mappings of MRI: Revealing the mechanisms underlying deep learning-based brain disease classification. -- Logic, reasoning, and rule-based explainable AI. -- Template Decision Diagrams for Meta Control and Explainability. -- A Logic of Weighted Reasons for Explainable Inference in AI. -- On Explaining and Reasoning about Fiber Optical Link Problems. -- Construction of artificial most representative trees by minimizing tree-based distance measures. -- Decision Predicate Graphs: Enhancing Interpretability in Tree Ensembles. -- Model-agnostic and statistical methods for eXplainable AI. -- Observation-specific explanations through scattered data approximation. -- CNN-based explanation ensembling for dataset, representation and explanations evaluation. -- Local List-wise Explanations of LambdaMART. -- Sparseness-Optimized Feature Importance. -- Stabilizing Estimates of Shapley Values with Control Variates. -- A Guide to Feature Importance Methods for Scientific Inference. -- Interpretable Machine Learning for TabPFN. -- Statistics and explainability: a fruitful alliance. -- How Much Can Stratification Improve the Approximation of Shapley Values?.This four-volume set constitutes the refereed proceedings of the Second World Conference on Explainable Artificial Intelligence, xAI 2024, held in Valletta, Malta, during July 17-19, 2024. The 95 full papers presented were carefully reviewed and selected from 204 submissions. The conference papers are organized in topical sections on: Part I - intrinsically interpretable XAI and concept-based global explainability; generative explainable AI and verifiability; notion, metrics, evaluation and benchmarking for XAI. Part II - XAI for graphs and computer vision; logic, reasoning, and rule-based explainable AI; model-agnostic and statistical methods for eXplainable AI. Part III - counterfactual explanations and causality for eXplainable AI; fairness, trust, privacy, security, accountability and actionability in eXplainable AI. Part IV - explainable AI in healthcare and computational neuroscience; explainable AI for improved human-computer interaction and software engineering for explainability; applications of explainable artificial intelligence.Communications in Computer and Information Science,1865-0937 ;2154Artificial intelligenceNatural language processing (Computer science)Application softwareComputer networksArtificial IntelligenceNatural Language Processing (NLP)Computer and Information Systems ApplicationsComputer Communication NetworksArtificial intelligence.Natural language processing (Computer science)Application software.Computer networks.Artificial Intelligence.Natural Language Processing (NLP).Computer and Information Systems Applications.Computer Communication Networks.006.3Longo Luca1337583Lapuschkin Sebastian1744132Seifert Christin1744133MiAaPQMiAaPQMiAaPQBOOK9910872194103321Explainable Artificial Intelligence4173978UNINA04009nam 22007335 450 991048426580332120251226195140.03-319-08789-410.1007/978-3-319-08789-4(CKB)3710000000219391(SSID)ssj0001298730(PQKBManifestationID)11987094(PQKBTitleCode)TC0001298730(PQKBWorkID)11260397(PQKB)10030369(DE-He213)978-3-319-08789-4(MiAaPQ)EBC6298451(MiAaPQ)EBC5610382(Au-PeEL)EBL5610382(OCoLC)883659465(PPN)17992558X(EXLCZ)99371000000021939120140704d2014 u| 0engurnn|008mamaatxtccrTheory and Practice of Model Transformations 7th International Conference, ICMT 2014, Held as Part of STAF 2014, York, UK, July 21-22, 2014, Proceedings /edited by Davide Di Ruscio, Dániel Varró1st ed. 2014.Cham :Springer International Publishing :Imprint: Springer,2014.1 online resource (XVI, 203 p. 81 illus.) Programming and Software Engineering,2945-9168 ;8568Bibliographic Level Mode of Issuance: Monograph3-319-08788-6 On the Usage of TGGs for Automated Model Transformation Testing -- A Search Based Test Data Generation Approach for Model Transformations -- Test Data Generation for Model Transformations Combining Partition and Constraint Analysis -- Testing MOF Script Transformations with Handy MOF -- Towards a Rational Taxonomy for Increasingly Symmetric Model Synchronization -- Correctness of Incremental Model Synchronization with Triple Graph Grammars -- Towards a Language for Graph-Based Model Transformation Design Patterns -- Synchronization of Models of Rich Languages with Triple Graph Grammars: An Experience Report -- Triple Graph Grammars in the Large for Translating Satellite Procedures -- Developing eMoflon with eMoflon -- ChainTracker, a Model-Transformation Trace Analysis Tool for Code-Generation Environments -- Tracing Program Transformations with String Origins -- Transformation of UML and OCL Models into Filmstrip Models -- Reverse Engineering of Model Transformations for Reusability.This book constitutes the refereed proceedings of the 7th International Conference on Model Transformation, ICMT 2014, held in York, UK, in July 2014. The 14 revised papers were carefully selected from 38 submissions. The papers have been organized in topical sections on model transformation testing, foundations of model synchronization, applications of model synchronization and tracing and reverse engineering of transformations.Programming and Software Engineering,2945-9168 ;8568Software engineeringComputer scienceCompilers (Computer programs)Electronic data processingManagementSoftware EngineeringComputer Science Logic and Foundations of ProgrammingCompilers and InterpretersIT OperationsSoftware engineering.Computer science.Compilers (Computer programs).Electronic data processingManagement.Software Engineering.Computer Science Logic and Foundations of Programming.Compilers and Interpreters.IT Operations.005.1Di Ruscio Davideedthttp://id.loc.gov/vocabulary/relators/edtVarró Dánieledthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910484265803321Theory and Practice of Model Transformations774212UNINA