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ORCID22nd EPIA 2023: Faial Island, Azores, Portugal - Part II
- Nuno Moniz
, Zita Vale, José Cascalho, Catarina Silva, Raquel Sebastião:
Progress in Artificial Intelligence - 22nd EPIA Conference on Artificial Intelligence, EPIA 2023, Faial Island, Azores, September 5-8, 2023, Proceedings, Part II. Lecture Notes in Computer Science 14116, Springer 2023, ISBN 978-3-031-49010-1
Artifical Intelligence, Generation and Creativity
- Manex Agirrezabal, Hugo Gonçalo Oliveira, Aitor Ormazabal:
Erato: Automatizing Poetry Evaluation. 3-14 - Liane Gabora, Joscha Bach:
A Path to Generative Artificial Selves. 15-29 - Alberto Calleo, Ludovica Rosato:
Human+Non-human Creative Identities. Symbiotic Synthesis in Industrial Design Creative Processes. 30-37 - Corina Catarau-Cotutiu, Esther Mondragón, Eduardo Alonso:
AIGenC: AI Generalisation via Creativity. 38-51 - Anaïs Giannuzzo:
Creativity, Intentions, and Self-Narratives: Can AI Really Be Creative? 52-63 - Jorge Santos, Rafael Murta, João Miguel Cunha, Sérgio M. Rebelo, Tiago Martins, Pedro Martins:
Evolving Urban Landscapes. 64-76 - Serkan Sulun, Pedro Oliveira, Paula Viana:
Emotion4MIDI: A Lyrics-Based Emotion-Labeled Symbolic Music Dataset. 77-89
Artificial Intelligence and Law
- Hidelberg Oliveira Albuquerque, Ellen Souza, Adriano L. I. Oliveira, David Macêdo, Cleber Zanchettin, Douglas Vitório, Nádia Félix F. da Silva, André C. P. L. F. de Carvalho:
On the Assessment of Deep Learning Models for Named Entity Recognition of Brazilian Legal Documents. 93-104 - Jacopo Ciani Sciolla, Ludovica Paseri:
Anonymisation of Judicial Rulings for Legal Analytics Purposes: Ethics, Law, and Compliance. 105-117 - Nuno Pablo Cordeiro, João Dias, Pedro A. Santos:
LeSSE - A Semantic Search Engine Applied to Portuguese Consumer Law. 118-130 - Pedro Miguel Freitas, Luís Mendes Gomes:
Does ChatGPT Pass the Brazilian Bar Exam? 131-141 - Rui Melo, Pedro A. Santos, João Dias:
A Semantic Search System for the Supremo Tribunal de Justiça. 142-154
Artificial Intelligence in Power and Energy Systems
- Nídia Andrade Moreira, Pedro Miguel Freitas, Paulo Novais:
The AI Act Meets General Purpose AI: The Good, The Bad and The Uncertain. 157-168 - Aria Jozi, Tiago Pinto, Luis Gomes, Goreti Marreiros, Zita Vale:
Rule-Based System for Intelligent Energy Management in Buildings. 169-181 - Bruno Mota, Daniel Ramos, Pedro Faria, Carlos Ramos:
Production Scheduling for Total Energy Cost and Machine Longevity Optimization Through a Genetic Algorithm. 182-194 - Bruno Ribeiro, Luis Gomes, Zita Vale:
A Novel Federated Learning Approach to Enable Distributed and Collaborative Genetic Programming. 195-206
Artificial Intelligence in Medicine
- Balázs András Tolnai, Zheng Ma, Bo Nørregaard Jørgensen:
A Scoping Review of Energy Load Disaggregation. 209-221 - Giovanni Baj, Arjuna Scagnetto, Luca Bortolussi, Giulia Barbati:
Deep Learning Survival Model to Predict Atrial Fibrillation From ECGs and EHR Data. 222-233 - Tetiana Biloborodova, Bríd Brosnan, Inna Skarga-Bandurova, Daniel J. Strauss:
Generalization Ability in Medical Image Analysis with Small-Scale Imbalanced Datasets: Insights from Neural Network Learning. 234-246 - Roberta Coletti, Marta B. Lopes:
Multi-omics Data Integration and Network Inference for Biomarker Discovery in Glioma. 247-259 - Afonso Lobo, Agostinho Barbosa, Tiago Guimarães, João Lopes, Hugo Peixoto, Manuel Filipe Santos:
Better Medical Efficiency by Means of Hospital Bed Management Optimization - A Comparison of Artificial Intelligence Techniques. 260-273 - Larissa Montenegro, Luís Mendes Gomes, José Manuel F. Machado:
AI-Based Medical Scribe to Support Clinical Consultations: A Proposed System Architecture. 274-285 - Maria Pedroto, Alípio Jorge, João Mendes-Moreira, Teresa Coelho:
Combining Neighbor Models to Improve Predictions of Age of Onset of ATTRv Carriers. 286-297 - Bruno Ribeiro, Isabel Curioso, Ricardo Santos, Federico Guede-Fernández, Pedro Coelho, Jorge Santos, José Fragata, Ana Londral, Inês Sousa:
Unravelling Heterogeneity: A Hybrid Machine Learning Approach to Predict Post-discharge Complications in Cardiothoracic Surgery. 298-310 - Ana Silva, Pedro Chaves, Sara Rijo, João Bone, Tiago Oliveira, Paulo Novais:
Leveraging TFR-BERT for ICD Diagnoses Ranking. 311-322
Artificial Intelligence and IoT in Agriculture
- Ana Rita Baião, Carolina Peixoto, Marta B. Lopes, Pedro Reis Costa, Alexandra M. Carvalho, Susana Vinga:
Evaluating the Causal Role of Environmental Data in Shellfish Biotoxin Contamination on the Portuguese Coast. 325-337 - André Rodrigues Baltazar, Filipe Neves dos Santos, Salviano Pinto Soares, António Paulo Moreira, José Boaventura Cunha:
Sound-Based Anomalies Detection in Agricultural Robotics Application. 338-350 - Gabriel A. Carneiro, Ana Cláudia Teixeira, Raul Morais, Joaquim João Sousa, António Cunha:
Can the Segmentation Improve the Grape Varieties' Identification Through Images Acquired On-Field? 351-363 - Dinis Costa, Catarina Silva, Joana Cósta, Bernardete Ribeiro:
Enhancing Pest Detection Models Through Improved Annotations. 364-375 - Daniel Queirós da Silva, Tiago Ferreira Rodrigues, Armando Jorge Miranda de Sousa, Filipe Neves dos Santos, Vítor Filipe:
Deep Learning-Based Tree Stem Segmentation for Robotic Eucalyptus Selective Thinning Operations. 376-387 - Ana Cláudia Teixeira, Gabriel A. Carneiro, Raul Morais, Joaquim João Sousa, António Cunha:
Segmentation as a Pre-processing for Automatic Grape Moths Detection. 388-398
Artificial Intelligence in Transportation Systems
- Martin Aleksandrov, Tobias Labarta:
Safety, Stability, and Efficiency of Taxi Rides. 401-412 - André V. Duarte, Arlindo L. Oliveira:
Improving Address Matching Using Siamese Transformer Networks. 413-425 - António Ribeiro da Costa, Zafeiris Kokkinogenis, Rosaldo J. F. Rossetti:
An Ethical Perspective on Intelligent Transport Systems. 426-437 - Cláudia Rodrigues, Marco Veloso, Ana Alves, Carlos Bento:
Using CDR Data to Understand Post-pandemic Mobility Patterns. 438-449
Artificial Intelligence in Smart Computing
- Mohamed Abdel Rahman, Ahmed Dahroug, Sherin M. Moussa:
Using Artificial Intelligence for Trust Management Systems in Fog Computing: A Comprehensive Study. 453-466 - Areeg Ahmed, Shahira Azab, Yasser Abdelhamid:
Source-Code Generation Using Deep Learning: A Survey. 467-482 - Muhammad Ali, Sehrish Munawar Cheema, Ivan Miguel Pires, Ammerha Naz, Zaheer Aslam, Nasir Ayub, Paulo Jorge Simães Coelho:
An IoT-Based Framework for Sustainable Supply Chain Management System. 483-494
Artificial Intelligence for Industry and Societies
- Jonathan Dreyer, Stefano Carrino, Hatem Ghorbel, Paul Cotofrei:
Tool Wear Monitoring Using Multi-sensor Time Series and Machine Learning. 497-510 - Bo Nørregaard Jørgensen, Daniel Anthony Howard, Christian Skafte Beck Clausen, Zheng Ma:
Digital Twins: Benefits, Applications and Development Process. 511-522 - Jorge Lopes, Feliz Gouveia, Vítor Silva, Rui S. Moreira, José M. Torres, Maria Simas Guerreiro, Luís Paulo Reis:
Using Deep Learning for Building Stock Classification in Seismic Risk Analysis. 523-534 - Beatriz Rodrigues, Carlos Fernandes, José Vieira, Filipe Portela:
Data Mining Models to Predict Parking Lot Availability. 535-547 - Georg Rottenwalter, Marcel Tilly, Christian Bielenberg, Katharina Obermeier:
Advancements in Synthetic Data Extraction for Industrial Injection Molding. 548-560 - Bruno Veiga, Tiago Pinto, Rúben Teixeira, Carlos Ramos:
Vision Transformers Applied to Indoor Room Classification. 561-573
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