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Cover image for Progress in Artificial Intelligence 22nd EPIA Conference on Artificial Intelligence, EPIA 2023, Faial Island, Azores, September 5-8, 2023, Proceedings, Part II
Title:
Progress in Artificial Intelligence 22nd EPIA Conference on Artificial Intelligence, EPIA 2023, Faial Island, Azores, September 5-8, 2023, Proceedings, Part II
Author:
Moniz, Nuno. editor.
ISBN:
9783031490118
Edition:
1st ed. 2023.
Physical Description:
XLV, 578 p. 151 illus., 124 illus. in color. online resource.
Series:
Lecture Notes in Artificial Intelligence, 14116
Contents:
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.
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