Progress in Artificial Intelligence
Springer International Publishing (Verlag)
978-3-031-49010-1 (ISBN)
The 85 full papers presented in these proceedings were carefully reviewed and selected from 163 submissions. The papers have been organized in the following topical sections: ambient intelligence and affective environments; ethics and responsibility in artificial intelligence; general artificial intelligence; intelligent robotics; knowledge discovery and business intelligence; multi-agent Systems: theory and applications; natural language processing, text mining and applications; planning, scheduling and decision-making in AI; social simulation and modelling; artifical intelligence, generation and creativity; artificial intelligence and law; artificial intelligence in power and energy systems; artificial intelligence in medicine; artificial intelligence and IoT in agriculture; artificial intelligence in transportation systems; artificial intelligence in smart computing; artificial intelligence for industry and societies.
Artifical Intelligence, Generation and Creativity: Erato: Automatizing Poetry Evaluation.- A Path to Generative Artificial Selves.- Human + non-human creative identities. Symbiotic synthesis in industrial design creative processes.- AIGenC: AI Generalisation via Creativity.- Creativity, intentions, and self-narratives: Can AI really be creative?.- Evolving Urban Landscapes.- Emotion4MIDI: a Lyrics-based Emotion-Labeled Symbolic Music Dataset.- Artificial Intelligence and Law: On the Assessment of Deep Learning Models for Named Entity Recognition of Brazilian Legal Documents.- Anonymisation of Judicial Rulings for Legal Analytics Purposes: Ethics, Law, and Compliance.- LeSSE - A Semantic Search Engine applied to Portuguese Consumer Law.- Does ChatGPT Pass the Brazilian Bar Exam?.- A Semantic Search System for the Supremo Tribunal de Justiça.- The AI Act meets General Purpose AI: the good, the bad and the uncertain.- Artificial Intelligence in Power and Energy Systems: Rule-based system for intelligent energy management in buildings.- Production Scheduling for Total Energy Cost and Machine Longevity Optimization through a Genetic Algorithm.- A novel federated learning approach to enable distributed and collaborative genetic programming.- A Scoping Review of Energy Load Disaggregation.- Artificial Intelligence in Medicine: Deep learning survival model to predict atrial fibrillation from ECGs and EHR data.- Generalization Ability in Medical Image Analysis with Small-Scale Imbalanced Datasets: Insights from Neural Network Learning.- Multi-omics data integration and network inference for biomarker discovery in glioma.- Better Medical Efficiency by means of Hospital Bed Management Optimization - a Comparison of Artificial Intelligence Techniques.- AI-Based Medical Scribe to Support Clinical Consultations: A Proposed System Architecture.- Combining neighbor models to improve predictions for ATTRv.- Unravelling Heterogeneity: A Hybrid Machine Learning Approach to Predict Post-Discharge Complications in Cardiothoracic Surgery.- Leveraging TFR-BERT for ICD Diagnoses Ranking.- Artificial Intelligence and IoT in Agriculture: Evaluating the causal role of environmental data in shellfish biotoxin contamination on the Portuguese coast.- Sound-based Anomalies Detection in Agricultural Robotics Application.- Can the segmentation improve the grape varieties' identification through images acquired on-field?.- Enhancing Pest Detection Models through Improved Annotations.- Deep Learning-Based Tree Stem Segmentation for Robotic Eucalyptus Selective Thinning Operations.- Segmentation as a pre-processing for automatic grape moths detection.- Artificial Intelligence in Transportation Systems: SSafety, Stability, and Efficiency of Taxi Rides.- Improving Address Matching using Siamese Transformer Networks.- An Ethical Perspective on Intelligent Transport Systems.- Using CDR Data to Understand Post-Pandemic Mobility Patterns.- Artificial Intelligence in Smart Computing: Using Artificial Intelligence for Trust Management Systems in Fog Computing: A Comprehensive Study.- Source-Code Generation using Deep Learning: A Survey.- An IoT-Based Framework for Sustainable Supply Chain Management System.- Artificial Intelligence for Industry and Societies: Tool Wear Monitoring Using Multi-Sensor Time Series and Machine Learning.- Digital Twins: Benefits, Applications and Development Process.- Using Deep Learning for Building Stock Classification in Seismic Risk Analysis.- Data Mining Models to predict parking lot availability.- Advancements in synthetic data extraction for industrial injection molding.- Vision Transformers applied to Indoor Room Classification.
Erscheinungsdatum | 16.12.2023 |
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Reihe/Serie | Lecture Notes in Artificial Intelligence | Lecture Notes in Computer Science |
Zusatzinfo | XLV, 578 p. 151 illus., 124 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 943 g |
Themenwelt | Mathematik / Informatik ► Informatik ► Netzwerke |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Schlagworte | Affective computing • Agriculture • Ambient Intelligence • Artificial Intelligence • Business Intelligence • Computational Creativity • Energy • Industry • Intelligent Systems • internet of things • Knowledge Discovery • Law • machine learning • Medicine • Multiagent Systems • Natural Language Processing • Robotics • Smart computing • Transport Systems |
ISBN-10 | 3-031-49010-X / 303149010X |
ISBN-13 | 978-3-031-49010-1 / 9783031490101 |
Zustand | Neuware |
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