Título :	17th IFIP WG 12.5 International Conference, AIAI 2021, Hersonissos, Crete, Greece, June 25–27, 2021, Proceedings
Tipo de documento:	documento electrónico
Autores:	Maglogiannis, Ilias, ; MacIntyre, John, ; Iliadis, Lazaros,
Mención de edición:	1 ed.
Editorial:	[s.l.] : Springer
Fecha de publicación:	2021
Número de páginas:	XXXIII, 795 p. 284 ilustraciones, 223 ilustraciones en color.
ISBN/ISSN/DL:	978-3-030-79150-6
Nota general:	Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Palabras clave:	Inteligencia artificial  Software de la aplicacion  Red de computadoras  Gestión de base de datos  Visión por computador  Aplicaciones informáticas y de sistemas de información  Redes de comunicación informática
Índice Dewey:	006.3 Inteligencia artificial
Resumen:	Este libro constituye las actas arbitradas de la 17.ª Conferencia Internacional IFIP WG 12.5 sobre Aplicaciones e Innovaciones de Inteligencia Artificial, AIAI 2021, celebrada virtualmente y en Hersonissos, Creta, Grecia, en junio de 2021. Los 50 artículos completos y 11 artículos breves presentados fueron revisados ​​cuidadosamente y seleccionado entre 113 presentaciones. Cubren una amplia gama de temas relacionados con aspectos técnicos, legales y éticos de los sistemas de inteligencia artificial y sus aplicaciones y están organizados en las siguientes secciones: modelado adaptativo/neurociencia; IA en aplicaciones biomédicas; Impactos de la IA/big data; aprendizaje automático automatizado; agentes autónomos; agrupamiento; NN convolucional; minería de datos/recuento de palabras; aprendizaje profundo; modelado difuso; computación hiperdimensional; Internet de las Cosas/Internet de la energía; aprendizaje automático; sistemas multiagente; lenguaje natural; sistemas de recomendación; análisis de los sentimientos; y aplicaciones inteligentes de blockchain/ciberseguridad. El capítulo "Mejora de la flexibilidad de la programación de la producción en la producción de acero plano mediante enfoques estándar y basados ​​en IA: desafíos y perspectiva" está disponible en acceso abierto bajo una licencia internacional Creative Commons Attribution 4.0 a través de link.springer.com.
Nota de contenido:	Adaptive Modeling, Neuroscience -- 'If Only I Would Have Done That...': A Controlled Adaptive Network Model for Learning by Counterfactual Thinking -- A Computational Model for the Second-Order Adaptive Causal Relationships between Anxiety, Stress and Physical Exercise -- AI in Biomedical Applications -- ebioMelDB: Multi-modal database for melanoma and its application on estimating patient prognosis -- Improved Biomedical Entity Recognition via longer context modelling -- Scalable NPairLoss-based Deep-ECG for ECG Verification -- A Comparative Study of Embedded Feature Selection Methods on Microarray data -- AI Impacts/Big Data -- The AI4Media project: Use of Next-generation Artificial Intelligence Technologies for Media Sector Applications -- Regression Predictive Model to analyze Big Data Analytics in Supply Chain Management -- Automated Machine Learning -- An Automated Machine Learning Approach for Predicting Chemical Laboratory Material Consumption -- An Ontology-Based Concept for Meta AutoML -- Object Migration Automata for Non-Equal Partitioning Problems with Known Partition Sizes -- Autonomous Agents -- Enhanced Security Framework for Enabling Facial Recognition in Autonomous Shuttles Public Transportation during COVID-19 -- Evaluating Task-General Resilience Mechanisms in a Multi-Robot Team Task -- Clustering -- A Multi-View Clustering Approach for Analysis of Streaming Data -- Efficient Approaches for Density-Based Spatial Clustering of Applications with Noise -- Self-organizing maps for optimized robotic trajectory planning applied to surface coating -- Convolutional Neural Networks -- An autoencoder convolutional neural network framework for Sarcopenia detection based on multi-frame ultrasound image slices -- Automatic Classification of XCT Images in Manufacturing -- Cross-lingual Approaches for Task-specific Dialogue ActRecognition -- Just-in-time Biomass Yield Estimation with Multi-Modal Data and Variable Patch Training Size -- Robustness testing of AI systems: A case study for traffic sign recognition -- Data Mining/ Word Counts -- BIBLIOBICLUSTER: A bicluster algorithm for Bibliometrics -- Topic identification via human interpretation of word clouds: The case of Instagram hashtags -- Deep Learning -- A Comparative Study of Deep Learning Techniques for Financial Indices Prediction -- An Effective Loss Function for Generating 3D Models from Single 2D Image without Rendering -- Collaborative Edge-Cloud Computing for Personalized Fall Detection -- Deep Dense and Convolutional Autoencoders for Machine Acoustic Anomaly Detection -- Neural Network Compression Through Shunt Connections and Knowledge Distillation for Semantic Segmentation Problems -- System-wide anomaly detection of industrial control systems via deep learning and correlation analysis -- Verification of Size Invariance in DNN Activations using Concept Embeddings -- Artificial Intelligence in Music Composition -- Deep Learning and AI for Optimization in 5GTechnology -- Fuzzy Modeling -- Intuitionistic Fuzzy Neural Network for Time Series Forecasting - The Case of Metal Prices -- Hyperdimensional Computing -- PQ-HDC: Projection-based Quantization Scheme for Flexible and Efficient Hyperdimensional Computing -- Hyperdimensional Computing with Learnable Projection for User Adaptation Framework -- Internet of Things/Internet of Energy -- "SAVE" – an Integrated Approach of Personal and Home Safety for Active Assisted Living -- BEMS in the Era of Internet of Energy: A Review -- Machine Learning -- A Survey of Methods for Detection and Correction of Noisy Labels in Time Series Data -- An automated tool to support an intelligence learner management system using Learning Analytics and Machine Learning -- Classification of Point Clouds with Neural Networks and Continuum-Type Memories -- Cyber Supply Chain Threat Analysis and Prediction using Machine Learning and Ontology -- Intelligent Techniques and Hybrid SystemsExperiments Using the Acumen Modeling and Simulation Environment -- Predicting CO2 Emissions for Buildings Using Regression and Classification -- Robust Pose Estimation Based on Maximum Correntropy Criterion -- The Generative Adversarial Random Neural Network -- Using Machine Learning Methods to Predict Subscriber Churn of a Web-based Drug Information Platform -- Analysis and Prediction for House Sales Price Using a Hybrid Machine Learning Approach -- Multi Agent Systems -- Dynamic Plume Tracking Utilizing Symbiotic Heterogeneous Remote Sensing Platforms -- Improving the flexibility of production scheduling in flat steel production through standard and AI-based approaches: challenges and perspectives -- Natural Language -- A comparative assessment of state-of-the-art methods for multilingual unsupervised keyphrase extraction -- An Approach Utilizing Linguistic Features for Fake News Detection -- CEA-TM: A Customer Experience Analysis framework based on Contextual-aware Topic Modelingapproach -- Machine Learning Meets Natural Language Processing - The story so far -- SemAI: A Novel Approach for Achieving Enhanced Semantic Interoperability in Public Policies -- Recommendation Systems -- Optimization of Multi-Stakeholder Recommender Systems for Diversity and Coverage -- Recommending Database Architectures For Social Queries: A Twitter Case Study -- Science4Fashion: An Autonomous Recommendation System for Fashion Designers -- Sentiment Analysis -- A two-step optimised BERT-based NLP algorithm for extracting sentiment from financial news -- Learning Sentiment-aware Trading Strategies for Bitcoin leveraging Deep Learning-based Financial News Analysis -- Smart Blockchain Applications/ Cybersecurity -- Federated Blockchained Supply Chain Management: A CyberSecurity and Privacy Framework -- Validation and Verification for Data Marketplaces.
En línea:	https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
Link:	https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i

17th IFIP WG 12.5 International Conference, AIAI 2021, Hersonissos, Crete, Greece, June 25–27, 2021, Proceedings [documento electrónico] / Maglogiannis, Ilias, ; MacIntyre, John, ; Iliadis, Lazaros,  . -  1 ed.  . - [s.l.] : Springer, 2021 . - XXXIII, 795 p. 284 ilustraciones, 223 ilustraciones en color.
ISBN : 978-3-030-79150-6
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.

Palabras clave:	Inteligencia artificial  Software de la aplicacion  Red de computadoras  Gestión de base de datos  Visión por computador  Aplicaciones informáticas y de sistemas de información  Redes de comunicación informática
Índice Dewey:	006.3 Inteligencia artificial
Resumen:	Este libro constituye las actas arbitradas de la 17.ª Conferencia Internacional IFIP WG 12.5 sobre Aplicaciones e Innovaciones de Inteligencia Artificial, AIAI 2021, celebrada virtualmente y en Hersonissos, Creta, Grecia, en junio de 2021. Los 50 artículos completos y 11 artículos breves presentados fueron revisados ​​cuidadosamente y seleccionado entre 113 presentaciones. Cubren una amplia gama de temas relacionados con aspectos técnicos, legales y éticos de los sistemas de inteligencia artificial y sus aplicaciones y están organizados en las siguientes secciones: modelado adaptativo/neurociencia; IA en aplicaciones biomédicas; Impactos de la IA/big data; aprendizaje automático automatizado; agentes autónomos; agrupamiento; NN convolucional; minería de datos/recuento de palabras; aprendizaje profundo; modelado difuso; computación hiperdimensional; Internet de las Cosas/Internet de la energía; aprendizaje automático; sistemas multiagente; lenguaje natural; sistemas de recomendación; análisis de los sentimientos; y aplicaciones inteligentes de blockchain/ciberseguridad. El capítulo "Mejora de la flexibilidad de la programación de la producción en la producción de acero plano mediante enfoques estándar y basados ​​en IA: desafíos y perspectiva" está disponible en acceso abierto bajo una licencia internacional Creative Commons Attribution 4.0 a través de link.springer.com.
Nota de contenido:	Adaptive Modeling, Neuroscience -- 'If Only I Would Have Done That...': A Controlled Adaptive Network Model for Learning by Counterfactual Thinking -- A Computational Model for the Second-Order Adaptive Causal Relationships between Anxiety, Stress and Physical Exercise -- AI in Biomedical Applications -- ebioMelDB: Multi-modal database for melanoma and its application on estimating patient prognosis -- Improved Biomedical Entity Recognition via longer context modelling -- Scalable NPairLoss-based Deep-ECG for ECG Verification -- A Comparative Study of Embedded Feature Selection Methods on Microarray data -- AI Impacts/Big Data -- The AI4Media project: Use of Next-generation Artificial Intelligence Technologies for Media Sector Applications -- Regression Predictive Model to analyze Big Data Analytics in Supply Chain Management -- Automated Machine Learning -- An Automated Machine Learning Approach for Predicting Chemical Laboratory Material Consumption -- An Ontology-Based Concept for Meta AutoML -- Object Migration Automata for Non-Equal Partitioning Problems with Known Partition Sizes -- Autonomous Agents -- Enhanced Security Framework for Enabling Facial Recognition in Autonomous Shuttles Public Transportation during COVID-19 -- Evaluating Task-General Resilience Mechanisms in a Multi-Robot Team Task -- Clustering -- A Multi-View Clustering Approach for Analysis of Streaming Data -- Efficient Approaches for Density-Based Spatial Clustering of Applications with Noise -- Self-organizing maps for optimized robotic trajectory planning applied to surface coating -- Convolutional Neural Networks -- An autoencoder convolutional neural network framework for Sarcopenia detection based on multi-frame ultrasound image slices -- Automatic Classification of XCT Images in Manufacturing -- Cross-lingual Approaches for Task-specific Dialogue ActRecognition -- Just-in-time Biomass Yield Estimation with Multi-Modal Data and Variable Patch Training Size -- Robustness testing of AI systems: A case study for traffic sign recognition -- Data Mining/ Word Counts -- BIBLIOBICLUSTER: A bicluster algorithm for Bibliometrics -- Topic identification via human interpretation of word clouds: The case of Instagram hashtags -- Deep Learning -- A Comparative Study of Deep Learning Techniques for Financial Indices Prediction -- An Effective Loss Function for Generating 3D Models from Single 2D Image without Rendering -- Collaborative Edge-Cloud Computing for Personalized Fall Detection -- Deep Dense and Convolutional Autoencoders for Machine Acoustic Anomaly Detection -- Neural Network Compression Through Shunt Connections and Knowledge Distillation for Semantic Segmentation Problems -- System-wide anomaly detection of industrial control systems via deep learning and correlation analysis -- Verification of Size Invariance in DNN Activations using Concept Embeddings -- Artificial Intelligence in Music Composition -- Deep Learning and AI for Optimization in 5GTechnology -- Fuzzy Modeling -- Intuitionistic Fuzzy Neural Network for Time Series Forecasting - The Case of Metal Prices -- Hyperdimensional Computing -- PQ-HDC: Projection-based Quantization Scheme for Flexible and Efficient Hyperdimensional Computing -- Hyperdimensional Computing with Learnable Projection for User Adaptation Framework -- Internet of Things/Internet of Energy -- "SAVE" – an Integrated Approach of Personal and Home Safety for Active Assisted Living -- BEMS in the Era of Internet of Energy: A Review -- Machine Learning -- A Survey of Methods for Detection and Correction of Noisy Labels in Time Series Data -- An automated tool to support an intelligence learner management system using Learning Analytics and Machine Learning -- Classification of Point Clouds with Neural Networks and Continuum-Type Memories -- Cyber Supply Chain Threat Analysis and Prediction using Machine Learning and Ontology -- Intelligent Techniques and Hybrid SystemsExperiments Using the Acumen Modeling and Simulation Environment -- Predicting CO2 Emissions for Buildings Using Regression and Classification -- Robust Pose Estimation Based on Maximum Correntropy Criterion -- The Generative Adversarial Random Neural Network -- Using Machine Learning Methods to Predict Subscriber Churn of a Web-based Drug Information Platform -- Analysis and Prediction for House Sales Price Using a Hybrid Machine Learning Approach -- Multi Agent Systems -- Dynamic Plume Tracking Utilizing Symbiotic Heterogeneous Remote Sensing Platforms -- Improving the flexibility of production scheduling in flat steel production through standard and AI-based approaches: challenges and perspectives -- Natural Language -- A comparative assessment of state-of-the-art methods for multilingual unsupervised keyphrase extraction -- An Approach Utilizing Linguistic Features for Fake News Detection -- CEA-TM: A Customer Experience Analysis framework based on Contextual-aware Topic Modelingapproach -- Machine Learning Meets Natural Language Processing - The story so far -- SemAI: A Novel Approach for Achieving Enhanced Semantic Interoperability in Public Policies -- Recommendation Systems -- Optimization of Multi-Stakeholder Recommender Systems for Diversity and Coverage -- Recommending Database Architectures For Social Queries: A Twitter Case Study -- Science4Fashion: An Autonomous Recommendation System for Fashion Designers -- Sentiment Analysis -- A two-step optimised BERT-based NLP algorithm for extracting sentiment from financial news -- Learning Sentiment-aware Trading Strategies for Bitcoin leveraging Deep Learning-based Financial News Analysis -- Smart Blockchain Applications/ Cybersecurity -- Federated Blockchained Supply Chain Management: A CyberSecurity and Privacy Framework -- Validation and Verification for Data Marketplaces.
En línea:	https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
Link:	https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i