1.

Record Nr.

UNINA9910131944803321

Autore

François Rosset

Titolo

Lieux d'Europe : mythes et limites / / sous la direction de Stella Ghervas et Franc̦ois Rosset

Pubbl/distr/stampa

Éditions de la Maison des sciences de l’homme, 2008

[Paris, France] : , : Éditions de la Maison des sciences de l'homme, , 2014

©2014

ISBN

2-7351-1548-8

2-7351-1664-6

2-8218-1686-3

Descrizione fisica

1 online resource (246 p.)

Disciplina

398.234

Soggetti

Geographical myths - Europe

Group identity - Europe

Collective memory

Europa Kulturelle Identität Geschichte Kongress Coppet <2005>

Europa Raum Wahrnehmung Geschichte Kongress Coppet <2005>

Europa Grenze Geschichte Kongress Coppet <2005>

Lingua di pubblicazione

Francese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references at the end of each chapters.

Sommario/riassunto

Alors qu’elle s’interroge, se regarde et se raconte depuis des siècles, l’Europe demeure perplexe au miroir de ses inépuisables productions. Elle est à l’étroit dans les paragraphes étriqués des documents juridiques, elle tend à se soustraire aux appropriations idéologiques de toutes obédiences, dépasse toujours les images d’elle-même qu’elle crée sans relâche, échappe à sa propre histoire comme à ses historiens, à ses géographes et à tous ceux qui s’efforcent de la définir. Mais elle offre à l’expérience et à l’imagination des hommes la richesse infiniment diversifiée de son patrimoine. S’il est encore et toujours difficile de dire l’Europe, du moins peut-on la percevoir et la toucher, surtout en ces lieux singuliers mais innombrables où se livre au regard



et à l’esprit un surcroît de sens. Frontières, carrefours, passages, nœuds urbains, vastes plaines, lieux de commémoration ou de mémoire : ce sont quelques-uns d’entre eux qui ont inspiré les auteurs de cet ouvrage. Dire l’Europe, sous leurs plumes croisées, c’est la redire sans cesse dans la multiplicité de ses manifestations particulières.

2.

Record Nr.

UNINA9910878068903321

Titolo

Knowledge Science, Engineering and Management : 17th International Conference, KSEM 2024, Birmingham, UK, August 16–18, 2024, Proceedings, Part I / / edited by Cungeng Cao, Huajun Chen, Liang Zhao, Junaid Arshad, Taufiq Asyhari, Yonghao Wang

Pubbl/distr/stampa

Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024

ISBN

981-9754-92-5

Edizione

[1st ed. 2024.]

Descrizione fisica

1 online resource (462 pages)

Collana

Lecture Notes in Artificial Intelligence, , 2945-9141 ; ; 14884

Disciplina

658.403

Soggetti

Artificial intelligence

Computer engineering

Computer networks

Computers

Information technology - Management

Social sciences - Data processing

Application software

Artificial Intelligence

Computer Engineering and Networks

Computing Milieux

Computer Application in Administrative Data Processing

Computer Application in Social and Behavioral Sciences

Computer and Information Systems Applications

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references and index.



Nota di contenuto

-- Knowledge Science with Learning and AI (KSLA).  -- A Deep Correlation Feature Extraction Network: Intelligent Description of Bearing Fault Knowledge for Zero-Sample Learning.  -- Elastic Filter Prune in Deep Neural Networks using Modified Weighted Hybrid Criterion.  -- EE LCE: An Event Extraction Framework Based on LLM Generated CoT Explanation.  -- Attention and Learning Features enhanced Knowledge Tracing.  -- An MLM Decoding Space Enhancement for Legal Document Proofreading.  -- Meta Pruning: learning to prune on few shot learning.  -- Knowledge informed Molecular Learning: A Survey on Paradigm Transfer. .-GenFlowchart: Parsing and Understanding Flowchart Using Generative AI.  -- DSCVSR: A Lightweight Video Super-Resolution for Arbitrary Magnification.  -- Programming Knowledge Tracing with Context and Structure Integration.  -- An Konwledge-Based Semi-supervised Active Learning Method for Precision Pest Disease Diagnostic.  -- Multi-Label Feature Selection with Adaptive Subspace Learning.  -- User Story Classification with Machine Learning and LLMs.  -- PTMA: Pre-trained Model Adaptation for Transfer Learning.  -- Optimization Strategies for Knowledge Graph Based Distractor Generation.  -- Reinforced Subject-aware Graph Neural Network for Related Work Generation.  -- EFCC IeT: Cross-modal Electronic File Content Correlation via Image-enhanced Text.  -- Multi relation Neural Network Recommendation Model Based on Knowledge Graph Embedding Algorithm.  -- Link prediction based on deep global information in heterogeneous graph.  -- Subject Knowledge Entity Relationship Extraction Based on Multi-Feature Fusion and Relation Specific Horns Tagging.  -- A Human Computer Negotiation Model Based on Q-Learning.  -- Affine Transformation-Based Knowledge Graph Embedding.  -- Integrating Prior Scenario Knowledge for Composition Review Generation.  -- Distant supervised relation extraction on pre-train model with improved multi-label attention mechanism.  -- sEMG-based Multi-View Feature-Constrained Representation Learning.  -- Vicinal Data Augmentation for Classification Model via Feature Weaken.  -- STM an Improved Peak Price Tracking-Based Online Portfolio Selection Algorithm.  -- Spatiotemporal Dependence Learning with Meteorological Context for Transportation Demand Prediction.  -- Automatic Meter Pointer Reading Based on Knowledge Distillation.  -- Multi-Table Question Answering Method Based on Correlation Evaluation and Precomputed Cube.  -- A Joint Multi-task Learning Model for Web Table-to-Knowledge Graph Matching.  -- An In Context Schema Understanding Method for Knowledge Base Question Answering.  -- Performance Enhancement Strategies for Node Classification Based on Graph Community Structure Recognition.

Sommario/riassunto

The five-volume set LNCS 14884, 14885, 14886, 14887 & 14888 constitutes the refereed deadline proceedings of the 17th International Conference on Knowledge Science, Engineering and Management, KSEM 2024, held in Birmingham, UK, during August 16–18, 2024. The 160 full papers presented in these proceedings were carefully reviewed and selected from 495 submissions. The papers are organized in the following topical sections: Volume I: Knowledge Science with Learning and AI (KSLA) Volume II: Knowledge Engineering Research and Applications (KERA) Volume III: Knowledge Management with Optimization and Security (KMOS) Volume IV: Emerging Technology Volume V: Special Tracks.