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.
Ambient Intelligence and Affective Environments: Simulation-Based
Adaptive Interface for Personalized Learning of AI Fundamentals in Secondary
School.- Gamified CollectiveEyes: A Gamified Distributed Infrastructure for
Collectively Sharing Peoples Eyes.- Design and Development of Ontology for
AI-based Software Systems to Manage the Food Intake and Energy Consumption of
Obesity, Diabetes and Tube Feeding Patients.- A System for Animal Health
Monitoring and Emotions Detection.- Ethics and Responsibility in Artificial
Intelligence: A Three-Way Knot: Privacy, Fairness, and Predictive Performance
Dynamics.- A Maturity Model for industries and organizations of all types to
better adopt Responsible AI preliminary results.- Completeness of Datasets
Documentation on ML/AI repositories: an Empirical Investigation.- Navigating
the landscape of AI ethics and responsibility.- Towards Interpretability in
Fintech Applications via Knowledge Augmentation.- General Artificial
Intelligence: Revisiting Deep Attention Recurrent Networks.- Pre-training
with Augmentations for Efficient Transfer in Model-based Reinforcement
Learning.- DyPrune: Dynamic pruning rates for neural networks.- Robustness
Analysis of Machine Learning Models using Domain-Specific Test Data
Perturbation.- Vocalization Features to Recognize Small Dolphin Species for
Limited Datasets.- Covariance Kernel Learning Schemes for Gaussian Process
Based Prediction using Markov Chain Monte Carlo.- Intelligent Robotics: A
Review on Quadruped Manipulators.- Knowledge Discovery and Business
Intelligence: Pollution Emission Patterns of Transportation in Porto,
Portugal through Network Analysis.- Analysis of Dam Natural Frequencies Using
a Convolutional Neural Network.- Imbalanced Regression Evaluation under
Uncertain Domain Preferences.- Studying the impact of sampling in highly
frequent time series.- Mining Causal Links Between TV Sports Content and
Real-World Data.- Hybrid SkipAwareRec: A Streaming Music Recommendation
System.- Interpreting What Is Important: An Explainability Approach And Study
On Feature Selection.- Time-series pattern verification in CNC machining
data.- Time-series pattern verification in CNC machining data.- Time-series
pattern verification in CNC machining data.- Measuring latency-accuracy
trade-offs in Convolutional Neural Networks.- MultiAgent Systems: Theory and
Applications: Machine Learning Data Markets: Evaluating the Impact of Data
Exchange on the Agent Learning Performance.- Machine Learning Data Markets:
Evaluating the Impact of Data Exchange on the Agent Learning
Performance.- Natural Language Processing, Text Mining and
Applications: Topic Model with Contextual Outlier Handling: a Study on
Electronic Invoice Product Descriptions.- Tweet2Story: Extracting Narratives
From Twitter.- Argumentation Mining from Textual Documents Combining Deep
Learning and Reasoning.- Event Extraction for Portuguese: A QA-driven
Approach using ACE-2005.- Symbolic vs Deep Learning Techniques for
Explainable Sentiment Analysis.- Assessing Good, Bad and Ugly Arguments
Generated by ChatGPT: a New Dataset, its Methodology and Associated
Tasks.- Assessing Good, Bad and Ugly Arguments Generated by ChatGPT: a New
Dataset, its Methodology and Associated Tasks.- OSPT: European Portuguese
Paraphrastic Dataset with Machine Translation.- Task Conditioned BERT for
Joint Intent Detection and Slot-filling.- Planning, Scheduling and
Decision-Making in AI: Data-driven Single Machine Scheduling Minimizing
Weighted Number of Tardy Jobs.- Heuristic Search Optimisation using Planning
and Curriculum Learning Techniques.- Social Simulation and Modelling: Review
of Agent-Based Evacuation Models in Python.
