50 citations · 88 across the 5 of their papers we have counts for
8 papers
FamDroid: Learning-Based Android Malware Family Classification Using Static Analysis
Wenhao fan, Liang Zhao, Jiayang Wang +3
Android is currently the most extensively used smartphone platform in the world. Due to its popularity and open source nature, Android malware has been rapidly growing in recent ye…
A new network-base high-level data classification methodology (Quipus) by modeling attribute-attribute interactions
Esteban Wilfredo Vilca Zuñiga, Liang Zhao
High-level classification algorithms focus on the interactions between instances. These produce a new form to evaluate and classify data. In this process, the core is a complex net…
A Network-Based High-Level Data Classification Algorithm Using Betweenness Centrality
Esteban Vilca, Liang Zhao
Data classification is a major machine learning paradigm, which has been widely applied to solve a large number of real-world problems. Traditional data classification techniques c…
Spatiotemporal data analysis with chronological networks
Leonardo N. Ferreira, Didier A. Vega-Oliveros, Moshe Cotacallapa +4
The amount and size of spatiotemporal data sets from different domains have been rapidly increasing in the last years, which demands the development of robust and fast methods to a…
Chaotic Phase Synchronization and Desynchronization in an Oscillator Network for Object Selection
Fabricio A Breve, Marcos G Quiles, Liang Zhao +1
Object selection refers to the mechanism of extracting objects of interest while ignoring other objects and background in a given visual scene. It is a fundamental issue for many c…
Particle Competition and Cooperation for Semi-Supervised Learning with Label Noise
Fabricio Aparecido Breve, Liang Zhao, Marcos Gonçalves Quiles
Semi-supervised learning methods are usually employed in the classification of data sets where only a small subset of the data items is labeled. In these scenarios, label noise is…