Progress in Artificial Intelligence
Description
The 3-volume set LNAI 14967, 14968, and 14969 constitutes the proceedings of the 23rd EPIA Conference on Artificial Intelligence, EPIA 2024, held in Viana do Castelo, Portugal, during September 3-6, 2024.
The 94 full papers presented in these proceedings were carefully reviewed and selected from 187 submissions. The papers are organized in the following topical sections:
Volume I:
AI and Creativity (AIC); Ambient Intelligence and Affective Environments (AmIA); Artificial Intelligence and IoT in Agriculture (AIoTA); Artificial Intelligence and Law (AIL); and Artificial Intelligence for Industry and Societies (AI4IS).
Volume II:
Artificial Intelligence in Medicine (AIM); Artificial Intelligence in Power and Energy Systems (AIPES); Artificial Intelligence in Transportation Systems (AITS); Ethics and Responsibility in AI (ERAI); and General AI (GAI).
Volume III:
Generative AI - Foundations and Applications (GenAI); Intelligent Robotics (IROBOT); Knowledge Discovery and Business Intelligence (KDBI); Natural Language Processing, Text Mining and Applications (TeMA); and Data-Centric AI - Solutions and Emerging Technologies (DCenAI).
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Content
AI and Creativity (AIC).- MI-CCy Quantifier: A Framework for Quantifying Mixed-Initiative Co-Creativity in Human-AI Collaborations.- Automated Detection System for Portuguese Musical Instruments.- Leveraging LLMs for On-the-fly Instruction Guided Image Editing.- Distributing Creative Responsibility Between a Knowledge-Based Content Determiner and a Neural Text Realizer.- ScanType: Evolutionary Letter Finding.- Mixed-initiative Worldbuilding in Speculative Design Experimental Practices.- Expanding Design Horizons: Evolutionary Tool for Parametric Design Exploration with Interactive and CLIP-Based Evaluation.- Evaluation of Lyrics Extraction from Folk Music Sheets Using Vision-Language Models (VLMs).- Ambient Intelligence and Affective Environments (AmIA).- Data-Driven Academic Performance Evaluation: A Smart Platform Approach.- Bridging Fashion and Technology: Synthetic Human Models for an Enhanced E-commerce Experience.- A Multi-Agent System Approach with Generative AI for Improved Elderly Daily Living.- Predictive Analytics in Education: A Comparative Analysis of Machine Learning Models for Predicting Student Performance.- Smart Cities as Affective Environments.- Artificial Intelligence and IoT in Agriculture (AIoTA).- Pruning End-Effectors - State Of The Art Review.- An Apple Counting System Robust to Multiple Intermittent Occlusions.-Data-Driven Digital Twin Based Energy Flexibility Investigation for Commercial Greenhouse Production Process.- Towards a Conversational AI Chatbot to Assist Farmers in Disease Detection.- The Impact of the EU's AI Act and Data Act on Digital Farming Technologies.- Artificial Intelligence and Law (AIL).- The Introduction of AI in Healthcare: a Multi-Layered Issue.- Segmentation Model for Judgments of the Portuguese Supreme Court of Justice.- Digital Justice in the EU: Integration of BPMN and AI into ODR Processes.-Transparency vs Explanation: Perspectives from Recent Legal Proceedings.- Detection of Potentially Non-compliant Clauses in Online ToS in Portuguese.- Towards Transparent AI: How AI Act Shape the Future.- Anthropocentric AI for EU Consumer Lending: 'Hacking' Opacity and Discrimination 'Sins' Powered by Creditworthiness Machines.- HIRS: A Hybrid Information Retrieval System for Legislative Documents.- Protection of Copyrights in the Era of Generative Artificial Intelligence.- Artificial Intelligence for Industry and Societies (AI4IS).- Exploration of Computer Vision Systems in the Recognition of Characteristics in Parts in an Industrial Environment.- Approximate Nash Equilibrium Learning for n-Player Markov Games in Dynamic Pricing.- Data Mining Models to Predict Order with Delays: A Textile Case Study.-Comparing Aggregated and Separate Models for Crowd Density Forecasting.- Evaluation of Machine Learning Methods for Fire Risk Assessment from Satellite Imagery.- Geometrically-Informed Tool Recommendation in High-Speed Machining.- A Reinforcement Learning based Recommender System Framework for Web Apps: Radio and Game Aggregators Scenarios.