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Angelo Schranko de Oliveira
Angelo Schranko de Oliveira
Other namesAS de Oliveira
Staff Cybersecurity Data Scientist @ AppOmni (https://appomni.com/)
Verified email at angelo5d0.com - Homepage
Title
Cited by
Cited by
Year
Behavioral malware detection using deep graph convolutional neural networks
AS de Oliveira, RJ Sassi
Authorea Preprints, 2023
622023
Automata-2008: Theory and applications of cellular automata
A Adamatzky, R Alonso-Sanz, A Lawniczak
Luniver Press, 2008
342008
Chimera: an android malware detection method based on multimodal deep learning and hybrid analysis
AS de Oliveira, RJ Sassi
Authorea Preprints, 2023
272023
Malware analysis datasets: top-1000 PE imports
A Oliveira
IEEE Dataport, 2019
152019
Malware analysis datasets: API call sequences
A Oliveira
IEEE Dataport. Available online: https://ieee-dataport. org/open-access …, 2019
152019
Derivation and Representation of One-Dimensional, Reversible, Number-Conserving Cellular Automata Rules.
A Schranko, PPB De Oliveira
Journal of cellular automata 6 (1), 2011
122011
Malware analysis datasets: Raw PE as image
A Oliveira
IEEE dataport, 2019
72019
Malware analysis datasets: PE section headers
A Oliveira
IEEE Dataport 10, 2019
62019
Malware Analysis Datasets: PE Section Headers. IEEE Dataport
A Oliveira
62019
Towards the Definition of Conservation Degree for One-Dimensional Cellular Automata Rules.
A Schranko, PPB de Oliveira
Journal of Cellular Automata 5, 2010
62010
Hunting Android malware using multimodal deep learning and hybrid analysis data
AS de Oliveira, RJ Sassi
32021
A definition of conservation degree for one-dimensional cellular automata rules.
A Schranko, PE Florencio, RM Ywassa, PPB de Oliveira
Automata, 156-173, 2008
12008
A new android malware detection method based on multimodal deep learning and hybrid analysis
AS Oliveira
Universidade Nove de Julho, 2022
2022
Algumas propriedades de autômatos celulares unidimensionais conservativos e reversíveis
AS Oliveira
2009
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Articles 1–14