163 citations · 382 across the 15 of their papers we have counts for
15 papers
NK Hybrid Genetic Algorithm for Clustering
Renato Tinós, Liang Zhao, Francisco Chicano +1
The NK hybrid genetic algorithm for clustering is proposed in this paper. In order to evaluate the solutions, the hybrid algorithm uses the NK clustering validation criterion 2 (NK…
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…
Algorithms to compute the Burrows-Wheeler Similarity Distribution
Felipe A. Louza, Guilherme P. Telles, Simon Gog +1
The Burrows-Wheeler transform (BWT) is a well studied text transformation widely used in data compression and text indexing. The BWT of two strings can also provide similarity meas…
From spatio-temporal data to chronological networks: An application to wildfire analysis
Didier A. Vega-Oliveros, Moshé Cotacallapa, Leonardo N. Ferreira +4
Network theory has established itself as an appropriate tool for complex systems analysis and pattern recognition. In the context of spatiotemporal data analysis, correlation netwo…
Network community detection via iterative edge removal in a flocking-like system
Filipe Alves Neto Verri, Roberto Alves Gueleri, Qiusheng Zheng +2
We present a network community-detection technique based on properties that emerge from a nature-inspired system of aligning particles. Initially, each vertex is assigned a random-…
Feature learning in feature-sample networks using multi-objective optimization
Filipe Alves Neto Verri, Renato Tinós, Liang Zhao
Data and knowledge representation are fundamental concepts in machine learning. The quality of the representation impacts the performance of the learning model directly. Feature le…
Network Unfolding Map by Edge Dynamics Modeling
Filipe Alves Neto Verri, Paulo Roberto Urio, Liang Zhao
The emergence of collective dynamics in neural networks is a mechanism of the animal and human brain for information processing. In this paper, we develop a computational technique…
Time Series Clustering via Community Detection in Networks
Leonardo N. Ferreira, Liang Zhao
In this paper, we propose a technique for time series clustering using community detection in complex networks. Firstly, we present a method to transform a set of time series into…
Spatial Neural Networks and their Functional Samples: Similarities and Differences
Lucas Antiqueira, Liang Zhao
Models of neural networks have proven their utility in the development of learning algorithms in computer science and in the theoretical study of brain dynamics in computational ne…
High Level Pattern Classification via Tourist Walks in Networks
Thiago Christiano Silva, Liang Zhao
Complex networks refer to large-scale graphs with nontrivial connection patterns. The salient and interesting features that the complex network study offer in comparison to graph t…