The two-volume set LNAI 14115 and 14116 constitutes the refereed proceedings of the 22nd EPIA Conference on Progress in Artificial Intelligence, EPIA 2023, held in Faial Island, Azores, in September 2023.
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.
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