Bernardete Ribeiro

Anhembi Morumbi University — Brazil

Computer Science · Physical Sciences

34h-index5.3kcitations417works3.02yr avg
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Research Topics

Imbalanced Data Classification Techniques(51), Neural Networks and Applications(42), Financial Distress and Bankruptcy Prediction(40), Text and Document Classification Technologies(38), Face and Expression Recognition(26)

Publications417 total

SAT-662 GLP-1 And Advanced NASH: Impact On Liver Fibrosis Regression
Journal of the Endocrine Society·2025Open Access
Convolutional Spiking Neural Networks with Molecular Fingerprints for Drug Discovery
Lecture notes in computer science·2025
A CRIMINALIDADE E SUA PREVENCAO EM TIMOR-LESTE
2025Open Access
A Multi-objective Reinforcement Learning Model to Support Decision-Makers in Assessing Key Maintenance Factors for Sustainable Manufacturing
Operations Research Forum·2025· 1 citedOpen Access
Humanitarian architecture and the use of natural materials: design of a temporary shelter in a planned camp for an indigenous community in Alto Vale do Itajaí, SC
Encontro de Sustentabilidade em Projetos·2025· 1 cited
Spiking Alternatives for the Leaky Integrate-and-Fire Neuron: Applications in Cybersecurity and Financial Threats
Lecture notes in computer science·2025
Rethinking transformers with convolution and graph embeddings for few-shot molecular property discovery
Pattern Recognition·2025· 3 citedOpen Access
PERIODONTAL DISEASE AND PREMATURE BIRTH PERIODONTAL DISEASE AND PRETERM BIRTH
International Journal of Health Science·2025· 1 citedOpen Access
ADVANCES IN FUNCTIONAL MAGNETIC RESONANCE IMAGING FOR THE EVALUATION OF NEURODEGENERATIVE DISEASES
Health and Society·2025Open Access
Machine learning application to the identification of sheet metal constitutive model parameters
Machine learning for computational science and engineering·2025· 2 cited
Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation
arXiv (Cornell University)·2025Open Access
Evaluating Collaborative Forecasting in Non-horizontal Federated Learning
Lecture notes in networks and systems·2025· 1 cited
Advancing mutagenicity predictions in drug discovery with an explainable few-shot deep learning framework
Digital Discovery·2025Open Access
CalibraSNN: Fair and Calibrated Convolutional Spiking Neural Network for High-Stakes Industry Applications
IEEE Access·2025Open Access
A Bibliometric Analysis of Transparency AI in FinTech with Emphasis on Gender Dynamics
Palgrave studies in financial services technology·2025
CONHECIMENTO DE ENFERMEIROS DA ATENÇÃO PRIMÁRIA À SAÚDE ACERCA DO PRÉ-NATAL DO PARCEIRO
2025Open Access
Métodos de enriquecimento ambiental aplicados na reabilitação de papagaio-do-mangue (Amazona amazonica Linnaeus, 1766) atendido no CETRAS/UFRA.
2025Open Access
Label synchronization strategies for hybrid federated learning
Reliability Engineering & System Safety·2024· 2 citedOpen Access
Exploring Neural Joint Activity in Spiking Neural Networks for Fraud Detection
Lecture notes in computer science·2024· 2 cited
Improving Fraud Detection with 1D-Convolutional Spiking Neural Networks Through Bayesian Optimization
Lecture notes in computer science·2024· 2 cited
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Frequent Co-authors

Catarina Silva(9), Francisco C. Pereira(6), Noel Lopes(6), Ning Chen(5), Filipe Rodrigues(5), Marisa Figueiredo(4), Ana de Almeida(4), Joel P. Arrais(4), Andrew H. Sung(4), Armando Vieira(3), Qingzhong Liu(3), Joana Cósta(3), Mário Antunes(3), An Chen(2), Maryam Abbasi(2), Nelson R. C. Monteiro(2), Zhongxue Chen(2), Jianyun Xu(2), João Carvalho das Neves(2), M.C. Oliveira(2)