Progress in Artificial Intelligence : 21st EPIA Conference on Artificial Intelligence, EPIA 2022, Lisbon, Portugal, August 31–September 2, 2022, Proceedings / edited by Goreti Marreiros, Bruno Martins, Ana Paiva, Bernardete Ribeiro, Alberto Sardinha

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Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: Lecture Notes in Artificial Intelligence ; 13566Verlag: Cham : Springer International Publishing, 2022Verlag: Cham : Imprint: Springer, 2022Auflage: 1st ed. 2022Beschreibung: 1 Online-Ressource(XXVII, 809 p. 236 illus., 168 illus. in color.)ISBN:

9783031164743

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Andere physische Formen: 9783031164736 | 9783031164750 | Erscheint auch als: 9783031164736 Druck-Ausgabe | Erscheint auch als: 9783031164750 Druck-AusgabeDOI: DOI: 10.1007/978-3-031-16474-3Online-Ressourcen:

Zusammenfassung: AI4IS - Artificial Intelligence for Industry and Societies -- Estimating the Temperature on the Reinforcing Bars of Composite Slabs Under Fire Conditions -- Hierarchically Structured Scheduling and Execution of Tasks in a Multi-Agent Environment -- AIL - Artificial Intelligence and Law -- Content-based Lawsuits Document Image Retrieval -- Lawsuits Document Images Processing Classification -- A rapid semi-automated literature review on legal precedents retrieval -- The European Draft Regulation on Artificial Intelligence: Houston, We Have a Problem -- Traffic Stops in the Age of Autonomous Vehicles -- UlyssesSD-Br: Stance Detection in Brazilian Political Polls -- Unraveling the algorithms for humanized digital work oriented artificial intelligence -- The compatibility of AI in criminal system with the ECHR and ECtHR jurisprudence -- Enriching legal knowledge through Intelligent Information Retrieval Techniques: a review -- AIM - Artificial Intelligence in Medicine -- Region of Interest Identification in the Cervical Digital Histology Images -- Region of Interest Identification in the Cervical Digital Histology Images -- Using a Siamese Network to Accurately Detect Ischemic Stroke in Computed Tomography Scans -- Determining Internal Medicine Length of Stay by means of Predictive Analytics -- Improving the prediction of Age of Onset of TTR-FAP patients using graph-embedding features -- Cloud-based Privacy-preserving Medical Imaging System using Machine Learning Tools -- An Active Learning-based Medical Diagnosis System -- Comparative evaluation of classification indexes and outlier detection of microcytic anaemias in a Portuguese sample -- A General Preprocessing Pipeline for Deep Learning on Radiology Images: A COVID-19 Case Study -- AIPES - Artificial Intelligence in Power and Energy Systems -- Automatic Configuration of Genetic Algorithm for the Optimization of Electricity Market Participation using Sequential Model Algorithm Configuration -- Modeling stand-alone photovoltaic systems with Matlab/Simulink -- A Learning Approach to Improve the Selection of Forecasting Algorithms in an Office Building in Different Contexts -- AITS - Artificial Intelligence in Transportation Systems -- Comparison of Different Deployment Approaches of FPGA-Based Hardware Accelerator for 3D Object Detection Models -- Generating the Users Geographic Map Using Mobile Phone Data -- Driver Equitability and Customer Optimality in Intelligent Vehicle Applications -- Assessing Communication Strategies in C-ITS using n-Person Prisoner’s Dilemma -- On demand waste collection for smart cities: a case study -- AmIA - Ambient Intelligence and Affective Environments -- Lorawan Module for Measurement of Environmental Parameters and Control of Irrigation Systems for Agricultural and Livestock Facilities -- Lorawan Module for Measurement of Environmental Parameters and Control of Irrigation Systems for Agricultural and Livestock Facilities -- A review on supervised learning methodologies for detecting eating habits of diabetic patients -- Visualization of Physiological Response in the Context of Emotion Recognition -- GAI - General AI -- Effective Communication in Transition Care During Shift Change -- PAUL: An Algorithmic Composer for Classical Piano Music Supporting Multiple Complexity Levels -- Assessing Policy, Loss and Planning Combinations in Reinforcement Learning using a New Modular Architecture -- FIT: Using feature importance to teach classification tasks to unknown learners -- GANs for integration of deterministic model and observations in marine ecosystem -- he joint role of Batch Size and Query Strategy in Active Learning-based Prediction - A case study in the Heart Attack Domain -- Backpropagation Through States: Training Neural Networks with Sequentially Semiseparable Weight Matrices -- A Generic Approach to Extend Interpretability of Deep Networks -- Cherry-picking meta-heuristic algorithms and parameters for real optimization problems -- On Developing Ethical AI -- IROBOT - Intelligent Robotics -- Exploiting Structures in Weight Matrices for Efficient Real-Time Drone Control with Neural Networks -- Deep Learning methods integration for improving Natural Interaction between humans and an assistant mobile robot in the context of autonomous navigation -- KDBI - Knowledge Discovery and Business Intelligence -- A Comparison of Automated Time Series Forecasting Tools for Smart Cities -- Novel Cluster Modeling for the Spatio-Temporal Analysis of Coastal Upwelling -- The Automation of Feature Generation with Domain Knowledge -- Temporal Nodes Causal Discovery for in Intensive Care Unit Survival Analysis -- MapIntel: Enhancing Competitive Intelligence Acquisition Through Embeddings and Visual Analytics -- A Learning-to-Rank Approach for Spare Parts Consumption in the Repair Process -- Uplift modeling using the Transform Outcome Approach -- A Service-Oriented Framework for ETL Implementation -- How are you riding? Transportation Mode Identification from Raw GPS Data -- KRR - Knowledge Representation and Reasoning -- Almost certain termination for ALC weakening -- A MaxSAT Solver based on Differential Evolution (preliminary report) -- A Robust State Transition Function for Multi-agent Epistemic Systems -- Multi-adjoint lattice logic. Properties and query answering -- Skill Learning for Long-Horizon Sequential Tasks -- MASTA - Multi-Agent Systems: Theory and Applications -- Envy Freeness Up To One Item: Shall We Duplicate or Remove Resources? -- Learning to Cooperate with Completely Unknown Teammates -- Bringing Underused Learning Objects to the Light: A Multi-Agent based Approach -- TeMA - Text Mining and Applications -- xpanding UlyssesNER-Br Named Entity Recognition Corpus with Informal User-generated Text -- Neural Question Generation for the Portuguese Language: A Preliminary Study -- Federated Search using Query Log Evidence.Zusammenfassung: This book constitutes the proceedings of the 21st EPIA Conference on Artificial Intelligence, EPIA 2022, which took place in Lisbon, Portugal, in August/September 2022. The 64 papers presented in this volume were carefully reviewed and selected from 85 submissions. They were organized in topical sections as follows: AI4IS - Artificial Intelligence for Industry and Societies; AIL - Artificial Intelligence and Law; AIM - Artificial Intelligence in Medicine; AIPES - Artificial Intelligence in Power and Energy Systems; AITS - Artificial Intelligence in Transportation Systems; AmIA - Ambient Intelligence and Affective Environments; GAI - General AI; IROBOT - Intelligent Robotics; KDBI - Knowledge Discovery and Business Intelligence; KRR - Knowledge Representation and Reasoning; MASTA - Multi-Agent Systems: Theory and Applications; TeMA - Text Mining and Applications. .PPN: PPN: 1816990485Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-SCS | ZDB-2-SXCS | ZDB-2-LNC

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