Progress in Artificial Intelligence

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).

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.