Miguel D. de S. Wanderley

According to our database, Miguel D. de S. Wanderley authored at least 10 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Ensemble-Based Biometric Verification: Defending Against Multi-Strategy Deepfake Image Generation.

Hilary Zen, Rohan Wagh, Miguel Wanderley, Gustavo Bicalho, Rachel Park, Megan Sun, Rafael Palacios, Lucas Carvalho, Guilherme Rinaldo, Amar Gupta

Comput., 2025

Quantitative Analysis of Visual XAI for Multiclass DeepFake Detection Based on CNN.

Leandro Santiago de Araújo, Flávio Luiz Seixas, Adriano Lima e Souza, Laura Tissi Tracierra Rezende, Hugo Coutinho Dutra, Miguel D. de S. Wanderley, Italo Antonio Duarte de Oliveira

Proceedings of the 38th SIBGRAPI Conference on Graphics, Patterns and Images, 2025

Assessing Demographic Bias and Fairness in Facial Recognition Systems: A Framework.

Darian Rabbani, Italo Antonio Duarte de Oliveira, Miguel D. de S. Wanderley, Cinthya O. Silva, Renato Almeida, João Rabello Alvim, Katia Poloni, Gustavo Bicalho, Lucas F. A. O. Pellicer

Proceedings of the Intelligent Systems - 35th Brazilian Conference, 2025

Face-Obfuscated Deepfake Detection by Learning Spatial and High-Frequency Generative Artifacts.

João Rabello Alvim, Miguel D. de S. Wanderley, Italo Antonio Duarte de Oliveira, Itallo Dias, Matheus Paz Gamba, Katia Maria Poloni

Proceedings of the Intelligent Systems - 35th Brazilian Conference, 2025

2018

Transferring Knowledge From Texts to Images by Combining Deep Semantic Feature Descriptors.

Miguel D. de S. Wanderley, Ricardo B. C. Prudêncio

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Increasing Convolutional Neural Networks Training Speed by Incremental Complexity Learning.

Miguel Domingos de Santana Wanderley, Ricardo Bastos Cavalcante Prudêncio

Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

2017

The Impact of Dataset Complexity on Transfer Learning over Convolutional Neural Networks.

Miguel D. de S. Wanderley, Leonardo de A. e Bueno, Cleber Zanchettin, Adriano L. I. Oliveira

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

2016

Application of Metrics for Risk Management in Environment of Multiple Software Development Projects.

Júlio Menezes Jr., Miguel Wanderley, Cristine Gusmão, Hermano Perrelli de Moura

Proceedings of the ICEIS 2016, 2016

2015

Proposal of Risk Management Metrics for Multiple Project Software Development.

Miguel Wanderley, Júlio Menezes Jr., Cristine Gusmão, Filipe Lima

Proceedings of the Conference on ENTERprise Information Systems/International Conference on Project MANagement/Conference on Health and Social Care Information Systems and Technologies, 2015

2014

ClassRiskIndicator - Uma Ferramenta Móvel para Apoiar o Gerenciamento dos Riscos em Ambientes de Múltiplos Projetos com Base em Indicadores.

Miguel Wanderley, Júlio Venâncio de Menezes Júnior, Cristine Gusmão

Proceedings of the 10th Brazilian Symposium on Information Systems, 2014