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View article: TENDÊNCIA TEMPORAL DA MORTALIDADE POR MIELOMA MÚLTIPLO E NEOPLASIAS MALIGNAS DE PLASMÓCITOS NO BRASIL DE 2000 A 2023
TENDÊNCIA TEMPORAL DA MORTALIDADE POR MIELOMA MÚLTIPLO E NEOPLASIAS MALIGNAS DE PLASMÓCITOS NO BRASIL DE 2000 A 2023 Open
View article: 4 Impact on healthcare students learning experience when using artificial intelligence based scribing tools: a qualitative study
4 Impact on healthcare students learning experience when using artificial intelligence based scribing tools: a qualitative study Open
View article: Towards a Corpus Methodology for LLMs in the Legal Domain
Towards a Corpus Methodology for LLMs in the Legal Domain Open
The creation of high-quality Question-Answer (QA) datasets is critical for developing reliable legal AI systems, yet a significant gap exists between intrinsic textual metrics and real-world model performance. This paper introduces an end-…
View article: THE USE OF INFORMATION TECHNOLOGY IN EDUCATION: THE APPLICATION OF ARTIFICIAL INTELLIGENCE IN ONLINE SYSTEMS
THE USE OF INFORMATION TECHNOLOGY IN EDUCATION: THE APPLICATION OF ARTIFICIAL INTELLIGENCE IN ONLINE SYSTEMS Open
In a Brazilian educational context, it is not uncommon to see tools that improve and stimulate learning. This article aims to investigate the possible applications of Information Technology in education, focusing on the hypothesis that Art…
View article: Improving Clinically Significant Prostate Cancer Detection with a Multimodal Machine Learning Approach: A Large-Scale Multicenter Study
Improving Clinically Significant Prostate Cancer Detection with a Multimodal Machine Learning Approach: A Large-Scale Multicenter Study Open
A multimodal machine learning model combining radiomic, radiologic, and clinical variables reduced unnecessary prostate biopsies while maintaining high sensitivity for clinically significant cancer detection.
View article: Effective reduction of unnecessary biopsies through a deep-learning-assisted aggressive prostate cancer detector
Effective reduction of unnecessary biopsies through a deep-learning-assisted aggressive prostate cancer detector Open
View article: Introduction to the “Best of GECCO 2023” Special Issue
Introduction to the “Best of GECCO 2023” Special Issue Open
View article: Qualidade do queijo Minas frescal: revisão sistemática
Qualidade do queijo Minas frescal: revisão sistemática Open
O Queijo Minas Frescal (QMF) é um dos queijos mais populares e consumidos no Brasil, reconhecido por sua textura macia e sabor suave. Sua produção envolve etapas como coagulação enzimática do leite, cortes da coalhada, dessoramento, moldag…
View article: Graph Contrastive Learning for Connectome Classification
Graph Contrastive Learning for Connectome Classification Open
With recent advancements in non-invasive techniques for measuring brain activity, such as magnetic resonance imaging (MRI), the study of structural and functional brain networks through graph signal processing (GSP) has gained notable prom…
View article: Impact of Scanner Manufacturer, Endorectal Coil Use, and Clinical Variables on Deep Learning–assisted Prostate Cancer Classification Using Multiparametric MRI
Impact of Scanner Manufacturer, Endorectal Coil Use, and Clinical Variables on Deep Learning–assisted Prostate Cancer Classification Using Multiparametric MRI Open
Aggressiveness of prostate cancer could be predicted using biparametric MRI and deep learning with negligible expert input, but performance was affected by scanner manufacturer and scanning protocol.
View article: Controlling Functional Complexity for Overfitting Reduction and Improved Interpretability in GP
Controlling Functional Complexity for Overfitting Reduction and Improved Interpretability in GP Open
View article: Vehicle-to-Vehicle Flooding Datasets using MK5 On-board Unit Devices
Vehicle-to-Vehicle Flooding Datasets using MK5 On-board Unit Devices Open
View article: Principais infecções prevalentes no âmbito hospitalar
Principais infecções prevalentes no âmbito hospitalar Open
Objetivo: Identificar as IRAS mais frequentes no ambiente hospitalar, bem como os fatores de risco inerentes a esse quadro. Métodos: Trata-se de um estudo descritivo, com abordagem qualitativa, do tipo Revisão Integrativa de Literatura (RI…
View article: Deep Learning Features Can Improve Radiomics-Based Prostate Cancer Aggressiveness Prediction
Deep Learning Features Can Improve Radiomics-Based Prostate Cancer Aggressiveness Prediction Open
PURPOSE Emerging evidence suggests that the use of artificial intelligence can assist in the timely detection and optimization of therapeutic approach in patients with prostate cancer. The conventional perspective on radiomics encompassing…
View article: Geometric semantic GP with linear scaling: Darwinian versus Lamarckian evolution
Geometric semantic GP with linear scaling: Darwinian versus Lamarckian evolution Open
View article: Benchmark datasets for biomedical knowledge graphs with negative statements
Benchmark datasets for biomedical knowledge graphs with negative statements Open
We present a collection of datasets for three relation prediction tasks - protein-protein interaction prediction, gene-disease association prediction and disease prediction - that aim at circumventing the difficulties in building benchmark…
View article: Corrigendum to “Analysis of domain shift in whole prostate gland, zonal and lesions segmentation and detection, using multicentric retrospective data” [Comput. Biol. Med. 17 (2024) 108216]
Corrigendum to “Analysis of domain shift in whole prostate gland, zonal and lesions segmentation and detection, using multicentric retrospective data” [Comput. Biol. Med. 17 (2024) 108216] Open
View article: Analysis of domain shift in whole prostate gland, zonal and lesions segmentation and detection, using multicentric retrospective data
Analysis of domain shift in whole prostate gland, zonal and lesions segmentation and detection, using multicentric retrospective data Open
View article: Explaining protein–protein interactions with knowledge graph-based semantic similarity
Explaining protein–protein interactions with knowledge graph-based semantic similarity Open
The application of artificial intelligence and machine learning methods for several biomedical applications, such as protein-protein interaction prediction, has gained significant traction in recent decades. However, explainability is a ke…
View article: Complexity, Interpretability and Robustness of Gp-Based Feature Engineering in Remote Sensing
Complexity, Interpretability and Robustness of Gp-Based Feature Engineering in Remote Sensing Open
View article: Kawasaki disease with atypical initial symptoms: a case report
Kawasaki disease with atypical initial symptoms: a case report Open
Introduction: Kawasaki disease (KD) is an acute, self-limited, systemic vasculitis of unknown etiology. The diagnosis is essentially clinical and the treatment is based on the use of intravenous human immunoglobulin (IVIG) and acetylsalicy…
View article: Testing the Segment Anything Model on radiology data
Testing the Segment Anything Model on radiology data Open
Deep learning models trained with large amounts of data have become a recent and effective approach to predictive problem solving -- these have become known as "foundation models" as they can be used as fundamental tools for other applicat…
View article: Exploring SLUG: Feature Selection Using Genetic Algorithms and Genetic Programming
Exploring SLUG: Feature Selection Using Genetic Algorithms and Genetic Programming Open
View article: D-LIMONENE COMPLEXED WITH Β-CYCLODEXTRIN ATTENUATES BEHAVIORAL DEFICITS AND REDUCES ASTROGLIOSIS IN A PROGRESSIVE PARKINSONISM ANIMAL MODEL
D-LIMONENE COMPLEXED WITH Β-CYCLODEXTRIN ATTENUATES BEHAVIORAL DEFICITS AND REDUCES ASTROGLIOSIS IN A PROGRESSIVE PARKINSONISM ANIMAL MODEL Open
View article: Biomedical Knowledge Graph Embeddings with Negative Statements
Biomedical Knowledge Graph Embeddings with Negative Statements Open
A knowledge graph is a powerful representation of real-world entities and their relations. The vast majority of these relations are defined as positive statements, but the importance of negative statements is increasingly recognized, espec…
View article: IoT based Plant Growth and Health Monitoring System for Mushrooms
IoT based Plant Growth and Health Monitoring System for Mushrooms Open
This research paper proposes the development of an IoT-based monitoring system using a robot camera for mushroom cultivation in Sri Lanka. The system aims to address several sub-objectives, including harvest time prediction, disease detect…
View article: Explainable Representations for Relation Prediction in Knowledge Graphs
Explainable Representations for Relation Prediction in Knowledge Graphs Open
Knowledge graphs represent real-world entities and their relations in a semantically-rich structure supported by ontologies. Exploring this data with machine learning methods often relies on knowledge graph embeddings, which produce latent…
View article: Benchmark datasets for biomedical knowledge graphs with negative statements
Benchmark datasets for biomedical knowledge graphs with negative statements Open
Knowledge graphs represent facts about real-world entities. Most of these facts are defined as positive statements. The negative statements are scarce but highly relevant under the open-world assumption. Furthermore, they have been demonst…
View article: A Comparison of Structural Complexity Metrics for Explainable Genetic Programming
A Comparison of Structural Complexity Metrics for Explainable Genetic Programming Open
Rebuli, K. B., Giacobini, M., Silva, S., & Vanneschi, L. (2023). A Comparison of Structural Complexity Metrics for Explainable Genetic Programming [Poster]. In S. Silva, & L. Paquete (Eds.), GECCO '23 Companion: Proceedings of the Companio…
View article: Evolutionary Algorithms for Segment Optimization in Vectorial GP
Evolutionary Algorithms for Segment Optimization in Vectorial GP Open
875441 Vektor-basierte Genetische Programmierung für Symbolische Regression und Klassifikation mit Zeitreihen (SymRegZeit), funded by the Austrian Research Promotion Agency FFG. It was also partially supported by FCT, Portugal, through fun…