Progress in Artificial Intelligence, Kartoniert / Broschiert
Progress in Artificial Intelligence
- 22nd EPIA Conference on Artificial Intelligence, EPIA 2023, Faial Island, Azores, September 5-8, 2023, Proceedings, Part II
(soweit verfügbar beim Lieferanten)
- Herausgeber:
- Nuno Moniz, Zita Vale, José Cascalho, Catarina Silva, Raquel Sebastião
- Verlag:
- Springer, 12/2023
- Einband:
- Kartoniert / Broschiert, Paperback
- Sprache:
- Englisch
- ISBN-13:
- 9783031490101
- Artikelnummer:
- 11713965
- Umfang:
- 624 Seiten
- Nummer der Auflage:
- 23001
- Ausgabe:
- 1st edition 2023
- Gewicht:
- 931 g
- Maße:
- 235 x 155 mm
- Stärke:
- 34 mm
- Erscheinungstermin:
- 15.12.2023
- Hinweis
-
Achtung: Artikel ist nicht in deutscher Sprache!
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Klappentext
¿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.
