Miriam Seoane Santos
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View article: A CONTABILIDADE DO IVA DUAL NO BRASIL: FUNDAMENTOS CONCEITUAIS, RECONHECIMENTO E EVIDENCIAÇÃO SOB A LEI COMPLEMENTAR Nº 214/2025
A CONTABILIDADE DO IVA DUAL NO BRASIL: FUNDAMENTOS CONCEITUAIS, RECONHECIMENTO E EVIDENCIAÇÃO SOB A LEI COMPLEMENTAR Nº 214/2025 Open
Objetivo: O presente artigo tem por objetivo analisar os fundamentos conceituais, contábeis e tributários do modelo de Imposto sobre Valor Agregado Dual (IVA Dual) instituído pela Lei Complementar nº 214/2025, sob a ótica da contabilidade …
View article: QIDLearningLib: A Python library for quasi-identifier recognition and evaluation
QIDLearningLib: A Python library for quasi-identifier recognition and evaluation Open
View article: Studying the robustness of data imputation methodologies against adversarial attacks
Studying the robustness of data imputation methodologies against adversarial attacks Open
View article: MORMO EQUÍDEO: DA BACTÉRIA AO DIAGNÓSTICO
MORMO EQUÍDEO: DA BACTÉRIA AO DIAGNÓSTICO Open
View article: O PAPEL DO MÉDICO VETERINÁRIO NA PROMOÇÃO DE SAÚDE ÚNICA
O PAPEL DO MÉDICO VETERINÁRIO NA PROMOÇÃO DE SAÚDE ÚNICA Open
View article: A Label Propagation Approach for Missing Data Imputation
A Label Propagation Approach for Missing Data Imputation Open
Missing data is a common challenge in real-world datasets and can arise for various reasons. This has led to the classification of missing data mechanisms as missing completely at random, missing at random, or missing not at random. Curren…
View article: Qidlearninglib: A Python Library for Quasi-Identifier Recognition and Evaluation
Qidlearninglib: A Python Library for Quasi-Identifier Recognition and Evaluation Open
View article: Exploring the Interplay of Dataset Shift and Imbalance Strategies on Classification Performance
Exploring the Interplay of Dataset Shift and Imbalance Strategies on Classification Performance Open
View article: Bone Metastases Detection in Patients with Breast Cancer: Does Bone Scintigraphy Add Information to PET/CT?
Bone Metastases Detection in Patients with Breast Cancer: Does Bone Scintigraphy Add Information to PET/CT? Open
Background Positron emission tomography/computed tomography (PET/CT) has become in recent years a tool for breast cancer (BC) staging. However, its accuracy to detect bone metastases is classically considered inferior to bone scintigraphy …
View article: The impact of heterogeneous distance functions on missing data imputation and classification performance
The impact of heterogeneous distance functions on missing data imputation and classification performance Open
View article: FAWOS: Fairness-Aware Oversampling Algorithm Based on Distributions of Sensitive Attributes
FAWOS: Fairness-Aware Oversampling Algorithm Based on Distributions of Sensitive Attributes Open
With the increased use of machine learning algorithms to make decisions which impact people's
\nlives, it is of extreme importance to ensure that predictions do not prejudice subgroups of the population with
\nrespect to sensitive attribut…
View article: Reviewing Autoencoders for Missing Data Imputation: Technical Trends, Applications and Outcomes
Reviewing Autoencoders for Missing Data Imputation: Technical Trends, Applications and Outcomes Open
Missing data is a problem often found in real-world datasets and it can degrade the performance of most machine learning models. Several deep learning techniques have been used to address this issue, and one of them is the Autoencoder and …
View article: Generating Synthetic Missing Data: A Review by Missing Mechanism
Generating Synthetic Missing Data: A Review by Missing Mechanism Open
The performance evaluation of imputation algorithms often involves the generation of missing
\nvalues. Missing values can be inserted in only one feature (univariate con guration) or in several features
\n(multivariate con guration) at dif…
View article: Improving the Classifier Performance in Motor Imagery Task Classification: What are the steps in the classification process that we should worry about?
Improving the Classifier Performance in Motor Imagery Task Classification: What are the steps in the classification process that we should worry about? Open
View article: Adenocarcinomas and their derived lymphovascular emboli contain dual compartmental populations of tumor microvesicles which differ in size and possibly content and function.
Adenocarcinomas and their derived lymphovascular emboli contain dual compartmental populations of tumor microvesicles which differ in size and possibly content and function. Open
Adenocarcinomas and their associated lymphovascular emboli metastasize as tight aggregates of tumor cells. Using a xenograft model of human inflammatory breast cancer (Mary-X), which exhibited florid lymphovascular emboli in mice and high …