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ORCID23rd EPIA 2024: Viana do Castelo, Portugal - Part II
- Manuel Filipe Santos, José Machado, Paulo Novais, Paulo Cortez, Pedro Miguel Moreira
:
Progress in Artificial Intelligence - 23rd EPIA Conference on Artificial Intelligence, EPIA 2024, Viana do Castelo, Portugal, September 3-6, 2024, Proceedings, Part II. Lecture Notes in Computer Science 14968, Springer 2025, ISBN 978-3-031-73499-1
Artificial Intelligence in Medicine (AIM)
- Daniele Corradetti, Alessandro Bernardi, Renato Corradetti:
Synthetic Data for Robust Identification of Typical and Atypical Serotonergic Neurons Using Convolutional Neural Networks. 3-15 - Ana Duarte, Orlando Belo:
Profiling Atopic Dermatitis Patients Using Decision Tree Classifiers to Anticipate Dupilumab Response. 16-25 - Mamadou Ben Hamidou Cissoko, Vincent Castelain, Nicolas Lachiche:
Modeling Temporal Dynamics in Irregular ICU Data Using MWTA-LSTM. 26-37 - Carolina Gomes, Paula Tilley, Luísa Coheur:
Evaluating Asthma in Equines with Video Recordings. 38-49 - Tiago Lopes, Júlio Duarte, Sara Cardoso, João Miranda, Tiago Guimarães, Manuel Filipe Santos:
Predicting Surgical Site Infections: A Time to Event Approach. 50-61 - Antoni Bigata Casademunt, Alvaro Barreiro-Garrido, Ana Belén Moreno, José Francisco Vélez, Ángel Sánchez:
A Study on Automatic Analysis of Handwriting Alterations Due to Parkinson's Disease. 62-73 - Pedro Maranhao, Tsang Ing Ren, George D. C. Cavalcanti:
Cervical Cancer Detection in Pap Smear Images. 74-85 - Violet Mayne, Harry Rogers, Saber Sami, Beatriz de la Iglesia:
Automating the Clock Drawing Test with Deep Learning and Saliency Maps. 86-97 - Pedro Vieira, Eva Maia, Isabel Praça:
Acute Pancreatitis Mortality Prediction with Federated Learning. 98-109 - João Fontes, Tiago Guimarães, Maria Manuel Salazar, César Quintas, Júlio Duarte, Manuel Santos:
Predictive Modeling for Medication Administration in Intensive Medicine: A Data-Driven Approach. 110-119
Artificial Intelligence in Power and Energy Systems (AIPES)
- Zheng Grace Ma, Bo Nørregaard Jørgensen:
A Review of Intelligent Technologies in District Heating Systems. 123-134 - Sérgio Ramos, João P. Soares, José Almeida, Zita Vale:
Intelligent Data Mining on Power Systems: Examples from Case Studies. 135-147 - João Pinto, Mario A. Mejia, Leonardo H. Macedo, Vítor Filipe, Tiago Pinto:
Application of a Genetic Algorithm for Optimising the Location of Electric Vehicle Charging Stations. 148-159 - Bruno Ribeiro, Luis Gomes, Zita Vale:
Retrieval-Augmented Generation Based Assistant: A Smart Home Case Study. 160-171 - Vitor Oliveira, Tiago Pinto, Carlos Ramos:
Dynamic Online Parameter Configuration of Genetic Algorithms Using Reinforcement Learning. 172-183 - Daniela L. Freire, André C. P. L. F. de Carvalho, Augusto José Peterlevitz, Mateus A. Chinelatto, Ricardo Dutra da Silva, Juan Fernando Rojas Perea:
Assessing Advanced Computer Vision Techniques in Aerial Imagery: A Case Study on Transmission Tower Identification. 184-196 - Diogo Viana, Rita Teixeira, Tiago Soares, José Baptista, Tiago Pinto:
Generative Adversarial Networks for Synthetic Meteorological Data Generation. 197-206
Artificial Intelligence in Transportation Systems (AITS)
- Zhipeng Ma, Bo Nørregaard Jørgensen, Zheng Ma:
Fuel Efficiency Analysis of the Public Transportation System Based on the Gaussian Mixture Model Clustering. 209-219 - Kristoffer Christensen, Bo Nørregaard Jørgensen, Zheng Grace Ma:
Multi-agent Based Simulation for Decentralized Electric Vehicle Charging Strategies and Their Impacts. 220-232 - Bernardo Amorim Alves, Tânia Fontes, Rosaldo Rossetti:
Bi-LSTM Neural Networks for Traffic Flow Prediction: An Empirical Evaluation. 233-245 - Marcelo Karanik, Alicia Pina-Zapata, Sara García-Rodríguez:
Imbalance Management on Free-Floating VSS: A Multi-agent Model Approach. 246-257
Ethics and Responsibility in AI (ERAI)
- Cátia Teixeira, Inês Gomes, Luís Cunha, Carlos Soares, Jan N. van Rijn:
GASTeNv2: Generative Adversarial Stress Testing Networks with Gaussian Loss. 261-272 - Isabel Carvalho, Hugo Gonçalo Oliveira, Catarina Silva:
A Multidimensional Taxonomy for Recent Trends in Explainable Artificial Intelligence. 273-284 - Daniel Agostinho, Davide Borra, Miguel Castelo-Branco, Marco Simões:
Explainability of fMRI Decoding Models Can Unveil Insights into Neural Mechanisms Related to Emotions. 285-296 - Brenda Nogueira, Ana Torres, Nuno Moniz, Gui M. Menezes:
Dynamics of Fisheries in the Azores Islands: A Network Analysis Approach. 297-308
General AI (GAI)
- Vasco Alves, Jorge Ribeiro:
Detection and Classification of Spam in Social Media Comments Using Artificial Intelligence - A Case Study. 311-323 - Jacopo Silvestrin, Francisco S. Melo, Manuel Lopes:
A Comparative Study of Continual Backpropagation. 324-334 - Vítor Cerqueira, Nuno Moniz, Ricardo Inácio, Carlos Soares:
Time Series Data Augmentation as an Imbalanced Learning Problem. 335-346 - Richard J. Wallace:
Domain Reductions After Preprocessing: Effects on Dynamic Variable Ordering Heuristics in Constraint Satisfaction Search. 347-361 - Francisco Izquierdo, Cesar Analide, Nuno Filipe Ferreira Diogo da Silva:
Efficient Image Search and Retrieval System in Cloud Platforms. 362-373 - Francisco Bicudo, Sofia Cavaco, Luís Freitas, Philippe Verborgh, Ruth Esteban, Pauline Gauffier, Joaquim F. Silva:
Unveiling Cetacean Voices: Entropy-Powered Spectrogram Denoising for Deep Learning Applications. 374-384
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