Artificial Intelligence Applications and Innovations
portes grátis
Artificial Intelligence Applications and Innovations
17th IFIP WG 12.5 International Conference, AIAI 2021, Hersonissos, Crete, Greece, June 25-27, 2021, Proceedings
Iliadis, Lazaros; Macintyre, John; Maglogiannis, Ilias
Springer Nature Switzerland AG
06/2022
795
Mole
Inglês
9783030791520
15 a 20 dias
1252
Descrição não disponível.
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.
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artificial intelligence;computational linguistics;computer networks;data mining;databases;image processing;information retrieval;internet;machine learning;network protocols;neural networks;robotics;semantics;signal processing;software engineering;telecommunication networks;user interfaces
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
