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ORCIDMateus Schulz Nogueira
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2020 – today
- 2024
[c6]Kajal Patel, Zubair Shafiq, Mateus Schulz Nogueira, Daniel Sadoc Menasché, Enrico Lovat, Taimur Kashif, Ashton Woiwood, Matheus Martins:
Harnessing TI Feeds for Exploitation Detection. CSR 2024: 200-207- [i3]Kajal Patel, Zubair Shafiq, Mateus Schulz Nogueira, Daniel Sadoc Menasché, Enrico Lovat, Taimur Kashif, Ashton Woiwood, Matheus Martins:
Harnessing TI Feeds for Exploitation Detection. CoRR abs/2409.07709 (2024) - 2023
- [j5]Mateus Schulz Nogueira
, João Ismael Pinheiro, Felipe Assis, Daniel Sadoc Menasché, Pavlos Sermpezis, Thrasyvoulos Spyropoulos:
When Should Recommenders Account for Low QoS? IEEE Access 11: 132014-132036 (2023) - [j4]Mateus Schulz Nogueira, Erica da Cunha Ferreira, Pedro Tubenchlak Boechat, Felipe Assis, Estevão Rabello Ussler, Rafael Rodrigo Furtado do Nascimento, Daniel Sadoc Menasché, Geraldo Xexéo, Abhishek Ramchandran, Katinka Wolter:
A Large Scale Characterization of Device Uptimes. IEEE Trans. Emerg. Top. Comput. 11(3): 553-565 (2023) - [c5]Felipe Moreno Vera, Mateus Schulz Nogueira, Cainã Figueiredo, Daniel S. Menasché, Miguel Angelo Bicudo, Ashton Woiwood, Enrico Lovat, Anton Kocheturov, Leandro Pfleger de Aguiar:
Cream Skimming the Underground: Identifying Relevant Information Points from Online Forums. CSR 2023: 66-71 - [i2]Felipe Moreno Vera, Mateus Schulz Nogueira, Cainã Figueiredo, Daniel Sadoc Menasché, Miguel Angelo Bicudo, Ashton Woiwood, Enrico Lovat, Anton Kocheturov, Leandro Pfleger de Aguiar:
Cream Skimming the Underground: Identifying Relevant Information Points from Online Forums. CoRR abs/2308.02581 (2023) - 2022
- [c4]Mateus Schulz Nogueira, Carlos Bravo, Daniel S. Menasché, Thrasyvoulos Spyropoulos, Pavlos Sermpezis:
Can Recommenders Compensate for Low QoS? GLOBECOM 2022: 4185-4190 - 2021
- [j3]Francois Boechat, Gabriel Ribas, Lucas Senos, Miguel Angelo Bicudo, Mateus Schulz Nogueira, Leandro Pfleger de Aguiar, Daniel Sadoc Menasché:
Is Vulnerability Report Confidence Redundant? Pitfalls Using Temporal Risk Scores. IEEE Secur. Priv. 19(4): 44-53 (2021) - [j2]Lucas Miranda, Daniel Vieira, Leandro Pfleger de Aguiar, Daniel Sadoc Menasché, Miguel Angelo Bicudo, Mateus Schulz Nogueira, Matheus Martins, Leonardo Ventura, Lucas Senos, Enrico Lovat:
On the Flow of Software Security Advisories. IEEE Trans. Netw. Serv. Manag. 18(2): 1305-1320 (2021) - 2020
- [j1]Vilc Queupe Rufino, Mateus Schulz Nogueira, Alberto Avritzer, Daniel Sadoc Menasché, Barbara Russo, Andrea Janes, Vincenzo Ferme, André van Hoorn, Henning Schulz, Cabral Lima:
Improving Predictability of User-Affecting Metrics to Support Anomaly Detection in Cloud Services. IEEE Access 8: 198152-198167 (2020) - [c3]Lucas Miranda, Daniel Vieira, Mateus Schulz Nogueira, Leonardo Ventura, Miguel Angelo Bicudo, Matheus Martins, Lucas Senos, Leandro Pfleger de Aguiar, Enrico Lovat, Daniel S. Menasché:
Measuring and Modeling Software Vulnerability Security Advisory Platforms. CRiSIS 2020: 31-48 - [i1]Vilc Queupe Rufino, Mateus Schulz Nogueira, Alberto Avritzer, Daniel S. Menasché, Barbara Russo, Andrea Janes, Vincenzo Ferme, André van Hoorn, Henning Schulz, Cabral Lima:
Improving Predictability of User-Affecting Metrics to Support Anomaly Detection in Cloud Services. CoRR abs/2012.13423 (2020)
2010 – 2019
- 2019
- [c2]Mateus Schulz Nogueira, Felipe Assis, Daniel S. Menasché, Geraldo Xexéo, Katinka Wolter:
Software Longevity in the Wild: Folklore and Law. ISSRE Workshops 2019: 232-238 - 2018
- [c1]Mateus Schulz Nogueira, Daniel S. Menasché, Carla Delgado:
Recomendação de Conteúdo e QoE: Um Experimento Quantificando o Impacto da QoS nas Preferências por Conteúdos. SBRC Companion 2018
Coauthor Index
aka: Daniel S. Menasché
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last updated on 2024-10-15 00:21 CEST by the dblp team
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