Hendrio L. S. Bragança

According to our database, Hendrio L. S. Bragança authored at least 7 papers between 2025 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Generalizing Feature Selection in Android Malware Detection: The SigAPI AutoCraft Approach.

Vanderson Rocha, Laura Tschiedel, Diego Kreutz, Hendrio L. S. Bragança, Joner Assolin, Rodrigo Brandão Mansilha, Silvio E. Quincozes, Angelo Gaspar Diniz Nogueira

J. Braz. Comput. Soc., 2026

Limitless Feature Selection: Revolutionizing Evaluation with MH-FSF.

Vanderson Rocha, Diego Kreutz, Hendrio L. S. Bragança, Eduardo Feitosa

J. Braz. Comput. Soc., 2026

Synthetic Data: AI's New Weapon Against Android Malware.

Angelo Gaspar Diniz Nogueira, Kayuã Oleques Paim, Hendrio L. S. Bragança, Rodrigo Brandão Mansilha, Diego Kreutz

J. Braz. Comput. Soc., 2026

2025

MH-1M: A 1.34 Million-Sample Comprehensive Multi-Feature Android Malware Dataset for Machine Learning, Deep Learning, Large Language Models, and Threat Intelligence Research.

Hendrio L. S. Bragança, Diego Kreutz, Vanderson Rocha, Joner Assolin, Eduardo Feitosa

CoRR, November, 2025

MH-FSF: A Unified Framework for Overcoming Benchmarking and Reproducibility Limitations in Feature Selection Evaluation.

Vanderson Rocha, Diego Kreutz, Gabriel Canto, Hendrio L. S. Bragança, Eduardo Feitosa

CoRR, July, 2025

Interpretable by Design: MH-AutoML for Transparent and Efficient Android Malware Detection without Compromising Performance.

Joner Assolin, Gabriel Canto, Diego Kreutz, Eduardo Feitosa, Hendrio L. S. Bragança, Angelo Nogueira, Vanderson Rocha

CoRR, June, 2025

A DeepConvLSTM Approach for Continuous Authentication Using Operational System Performance Counters.

César H. G. Andrade, Hendrio L. S. Bragança, Horácio Fernandes, Eduardo Feitosa, Eduardo Souto

IET Biom., 2025