Creative dynamics [[electronic resource] ] : diagrammatic strategies in narrative / / Christina Ljungberg

• Record Nr.: UNINA9910461815803321
• Autore: Ljungberg Christina <1949->
• Pubbl/distr/stampa: Amsterdam ; ; Philadelphia, : John Benjamins Pub. Co., 2012
• ISBN: 1-283-89493-9; 90-272-7322-7
• Descrizione fisica: 1 online resource (198 p.)
• Collana: Iconicity in language and literature, , 1873-5037 ; ; v. 11
• Disciplina: 808.036
• Soggetti: Iconicity (Linguistics); Creativity (Linguistics); Cognitive grammar; Electronic books.
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references and indexes.
• Nota di contenuto: Mapping practices -- Cartographic writing -- Reading as remapping: cartographic performance -- Postcolonial mappings -- Remapping the past: the case of photography -- Cognitive approaches to textual narratives.
• Sommario/riassunto: How do readers make sense of a picture, a photograph, or a map in literary narratives in which visual signs play a critical role? How do authors accomplish their various objectives in constructing such complex texts? What strategies and techniques do they use to project fictional worlds and to provide their readers with the means for orienting themselves there? This book investigates the dynamics of the imaginary diagrams created by cartographers, photographers, and writers of narratives, giving ample evidence of how mapping practices have inspired the imagination of a vast number of authors f

Artificial intelligence applications and innovations : 17th IFIP WG 12.5 international conference, AIAI 2021, Hersonissos, Crete, Greece, June 25-27, 2021, proceedings / / Ilias Maglogiannis, John Macintyre, Lazaros Iliadis (editors)

• Record Nr.: UNISA996464486703316
• Pubbl/distr/stampa: Cham, Switzerland : , : Springer, , [2021]; ©2021
• ISBN: 3-030-79150-5
• Descrizione fisica: 1 online resource (801 pages)
• Collana: IFIP advances in information and communication technology ; ; Volume 627
• Disciplina: 006.3
• Soggetti: Artificial intelligence
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Intro -- Preface -- Organization -- Abstracts of Keynotes -- Is "Big Tech" Becoming the "Big Tobacco" of Artificial Intelligence? -- Machine Learning: A Key Ubiquitous Technology in the 21st Century -- Human-Centered Computer Vision: Core Components and Applications -- Unveiling Recurrent Neural Networks - What Do They Actually Learn and How? -- Deep Learning and Kernel Machines -- How Can Artificial Intelligence Efficiently Support Sustainable Development? -- Backpropagation Free Deep Learning -- Brain-Inspired Data Analytics for Incremental and Transfer Learning of Cognitive Spatio-Temporal Data and for Knowledge Transfer -- Abstracts of Tutorials -- Modern Methods and Tools for Human Biosignal Analysis -- Anomaly Detection in Images -- Contents -- Adaptive Modeling/Neuroscience -- 'If Only I Would Have Done that...': A Controlled Adaptive Network Model for Learning by Counterfactual Thinking -- 1 Introduction -- 2 Literature Review -- 3 The Modeling Approach for Controlled Adaptive Networks -- 4 A Controlled Adaptive Network Model for Counterfactual Thinking -- 5 Simulation Results -- 6 Verification of the Model by Analysis of Stationary Points -- 7 Discussion -- References -- A Computational Model for the Second-Order Adaptive Causal Relationships Between Anxiety, Stress and Physical Exercise -- 1 ; Introduction -- 2 Literature Overview -- 3 The Adaptive Computational Network Model -- 3.1 The Modelling Approach Used -- 3.2 The Designed Adaptive Self-modeling Network Model -- 4 Simulations -- 5 Discussion -- References -- AI in Biomedical Applications -- ebioMelDB: Multi-modal Database for Melanoma and Its Application on Estimating Patient Prognosis -- 1 Introduction -- 2 Database -- 2.1 Image Data Collection -- 2.2 Biological Data Collection -- 2.3 Database Infrastructure -- 3 Estimating Melanoma Prognosis -- 3.1 Data Collection and Preprocessing.; 3.2 Machine Learning Algorithm Description -- 3.3 Results -- 4 Discussion -- References -- Improved Biomedical Entity Recognition via Longer Context Modeling -- 1 Introduction -- 2 Related Work -- 3 LongSeq: Our Proposed Approach -- 3.1 Our Model -- 3.2 Transformer Encoders -- 4 Experiments -- 4.1 Data and Processing -- 4.2 Experimental Setup -- 4.3 Results -- 4.4 Ablation Study -- 5 Discussion -- 6 Conclusions -- References -- Scalable NPairLoss-Based Deep-ECG for ECG Verification -- 1 Introduction -- 2 Related Works -- 2.1 ECG Biometrics -- 2.2 Deep-ECG -- 3 The Proposed Scalable NPairLoss-Based Deep-ECG System -- 3.1 Signal Preprocessing -- 3.2 Training Phase -- 3.3 Inference Phase -- 4 Experiments -- 4.1 Dataset Design and Experimental Settings -- 4.2 Comparison of the Preprocess Methods Between Deep-ECG and SNL-Deep-ECG -- 4.3 Comparison Verification Performance Between Deep-ECG and SNL-Deep-ECG in Terms of Number of Class -- 5 Conclusions -- References -- Comparative Study of Embedded Feature Selection Methods on Microarray Data -- 1 Introduction -- 2 Related Works -- 3 Methods and Materials -- 3.1 Decision Tree -- 3.2 Random Forest -- 3.3 Lasso -- 3.4 Ridge -- 3.5 SVM-RFE -- 4 Experimental Results and Discussion -- 4.1 Datasets -- 4.2 Experimental Setup -- 4.3 Discussion -- 4.4 Comparison with Other Works -- 5 Conclusion and Future Work -- References -- AI Impacts/Big Data -- The AI4Media Project: Use of Next-Generation Artificial Intelligence Technologies for Media Sector Applications -- 1 Artificial Intelligence in the Service of Media, Society and Democracy: Current Challenges and Opportunities -- 2 AI Technologies for the Media Sector -- 3 The AI4Media Use Cases -- 3.1 UC1: AI for Social Media and Against Disinformation -- 3.2 UC2: AI for News - the Smart News Assistant.; 3.3 UC3: AI for High Quality Video Production and Content Automation -- 3.4 UC4: AI for Social Sciences and Humanities -- 3.5 UC5: AI for Games -- 3.6 UC6: AI for Human Co-creation -- 3.7 UC7: AI for (Re-)Organisation and Content Moderation -- 4 Conclusions -- References -- Regression Predictive Model to Analyze Big Data Analytics in Supply Chain Management -- 1 Introduction -- 2 Big Data Analytics -- 3 Big Data Analytics in Supply Chain Management -- 4 Implementation of Regression Predictive Model with SAP Analytics Cloud -- 4.1 Identification of the Business Problem -- 4.2 Definition of the Hypotheses -- 4.3 Collecting the Data -- 4.4 Data Analysis, Development of the Predictive Model and the Determination of the Best-Fit Model -- 4.5 Utilize the Model, Referred to as Scoring -- 5 Conclusion -- References -- Automated Machine Learning -- An Automated Machine Learning Approach for Predicting Chemical Laboratory Material Consumption -- 1 Introduction -- 2 Related Work -- 3 Problem Formulation -- 4 Materials and Methods -- 4.1 Data -- 4.2 Prediction Methods -- 4.3 Evaluation -- 5 Results and Discussion -- 6 Conclusions -- References -- An Ontology-Based Concept for Meta AutoML -- 1 Introduction -- 2 Related Work -- 3 Basics of AutoML -- 3.1 Input and Output -- 3.2 Example: Auto-Sklearn -- 3.3 Discussion of Existing AutoML Solutions -- 4 OMA-ML: An Ontology-; Based Concept for Meta AutoML -- 4.1 Goals for OMA-ML -- 4.2 Meta AutoML -- 4.3 ML Ontology -- 4.4 OMA-ML Software Architecture -- 4.5 User Interface -- 4.6 OMA-ML Control Logic -- 4.7 Logging -- 5 Conclusions and Future Work -- References -- Object Migration Automata for Non-equal Partitioning Problems with Known Partition Sizes -- 1 Introduction -- 2 Problem Formulation -- 3 The Proposed PSR-OMA Scheme -- 4 Numerical Results -- 4.1 Existing OMA and PSR-OMA for an EPP -- 4.2 PSR-OMA for NEPPs.; 5 Conclusion -- References -- Autonomous Agents -- Enhanced Security Framework for Enabling Facial Recognition in Autonomous Shuttles Public Transportation During COVID-19 -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Data Collection and Preprocessing -- 3.2 Network Pipeline -- 3.3 Results -- 4 Conclusions -- References -- Evaluating Task-General Resilience Mechanisms in a Multi-robot Team Task -- 1 Introduction -- 2 Motivation -- 3 Related Work -- 4 Resilience Mechanisms and Experimental Evaluation -- 4.1 Resilience Mechanisms in the DIARC Architecture -- 4.2 The Space Station Environment -- 4.3 The Robots -- 4.4 The Search-and-Repair Task -- 4.5 Experimental Design and Procedure -- 4.6 Results -- 5 Discussion -- 6 Conclusion -- References -- Clustering -- A Multi-view Clustering Approach for Analysis of Streaming Data -- 1 Introduction -- 2 Related Work -- 3 Background -- 3.1 Multi-Instance Clustering and Hausdorff Distance -- 3.2 Formal Concept Analysis -- 3.3 Closed Patterns -- 4 MV Multi-Instance Clustering Using Closed Patterns -- 5 Evaluation -- 5.1 Data Sets and Experimental Setup -- 5.2 Results and Discussion -- 6 Conclusion and Future Work -- References -- Efficient Approaches for Density-Based Spatial Clustering of Applications with Noise -- 1 Introduction -- 2 General Description of DBSCAN Algorithm -- 3 DBSCAN Algorithm Details -- 4 Performance and Evaluation -- 5 Drawbacks of DBSCAN -- 6 Analogous Evolution of DBSCAN -- 7 Conclusion -- References -- Self-organizing Maps for Optimized Robotic Trajectory Planning Applied to Surface Coating -- 1 Introduction -- 2 Methodology -- 2.1 An Overview of the Proposed Algorithm -- 2.2 SOM Initialization -- 2.3 Learning Algorithm -- 3 Results -- 4 Conclusions and Further Work -- References -- Convolutional NN.; An Autoencoder Convolutional Neural Network Framework for Sarcopenia Detection Based on Multi-frame Ultrasound Image Slices -- 1 Introduction -- 2 Proposed Framework -- 2.1 AutoEncoders -- 2.2 Convolutional Neural Networks and Transfer Learning -- 3 Dataset -- 4 Experimental Results -- 5 Conclusions and Future Work -- References -- Automatic Classification of XCT Images in Manufacturing -- 1 Introduction -- 2 Background -- 2.1 Quality Assessment Using X-Ray Computed Tomography (XCT) -- 2.2 Related Work -- 3 Motivation -- 3.1 Challenges -- 3.2 Objectives -- 4 Solution -- 4.1 Data -- 4.2 Model Architecture -- 4.3 Training and Inference -- 4.4 Production-Line Evaluation -- 5 Conclusion and Future Work -- References -- Cross-Lingual Approaches for Task-Specific Dialogue Act Recognition -- 1 Introduction -- 2 Related Work -- 3 Models -- 3.1 English DA Classifier -- 3.2 Speaker Turn Embeddings -- 4 Transfer Learning Approach -- 5 Experiments -- 5.1 German Task -- 5.2 French Task -- 5.3 Initial Phase: English Model -- 5.4 Fine-Tuning Phase -- 5.5 Baseline Approaches -- 5.6 Fine-Tuning Experiments -- 5.7 Comparison with Related Work -- 6 Conclusions -- References -- Just-in-Time Biomass Yield Estimation with Multi-modal Data and Variable Patch Training Size -- 1 Introduction -- 2 Related Work -- 2.1 Remote Sensing of Vegetation -- 2.2 Deep Learning Architectures for Remote Sensing -- 3 Data Collection -- 4 Modelling -- 4.1 Image Processing ; Backbone -- 4.2 Multi-spectral and Multi-sensor Analysis -- 4.3 Influence of Patch Size -- 4.4 Training -- 5 Results and Discussion -- 6 Conclusion -- References -- Robustness Testing of AI Systems: A Case Study for Traffic Sign Recognition -- 1 Introduction -- 2 Related Work -- 3 Approach -- 3.1 Models -- 3.2 Data Set -- 3.3 Robustness Properties -- 3.4 Metric -- 4 Results -- 4.1 Basic Robustness Tests.; 4.2 Stronger and Task-Specific Properties.