Liang Zhao

According to our database1, Liang Zhao authored at least 128 papers between 1998 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2020
Global fire season severity analysis and forecasting.
Comput. Geosci., 2020

2019
Particle swarm optimization for network-based data classification.
Neural Networks, 2019

From spatio-temporal data to chronological networks: an application to wildfire analysis.
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

2018
Network Unfolding Map by Vertex-Edge Dynamics Modeling.
IEEE Trans. Neural Netw. Learning Syst., 2018

Organizational Data Classification Based on the Importance Concept of Complex Networks.
IEEE Trans. Neural Netw. Learning Syst., 2018

NK Hybrid Genetic Algorithm for Clustering.
IEEE Trans. Evolutionary Computation, 2018

A scheme for high level data classification using random walk and network measures.
Expert Syst. Appl., 2018

Network community detection via iterative edge removal in a flocking-like system.
CoRR, 2018

Feature Learning in Feature-Sample Networks Using Multi-Objective Optimization.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Analysis of Graph Construction Methods in Supervised Data Classification.
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

2017
Attribute-based Decision Graphs: A framework for multiclass data classification.
Neural Networks, 2017

Semi-supervised Semantic Role Labeling for Brazilian Portuguese.
JIDM, 2017

Low and high level classification using stacking.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Nature-Inspired Graph Optimization for Dimensionality Reduction.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

Structural outlier detection: A tourist walk approach.
Proceedings of the 13th International Conference on Natural Computation, 2017

Improving semantic role labeling using high-level classification in complex networks.
Proceedings of the 13th International Conference on Natural Computation, 2017

2016
Musical rhythmic pattern extraction using relevance of communities in networks.
Inf. Sci., 2016

Time series clustering via community detection in networks.
Inf. Sci., 2016

Semi-Supervised Classification by Particle Competition in Complex Network's Edges.
IJPRAI, 2016

An object-based visual selection framework.
Neurocomputing, 2016

An embedded imputation method via Attribute-based Decision Graphs.
Expert Syst. Appl., 2016

Data heterogeneity consideration in semi-supervised learning.
Expert Syst. Appl., 2016

Network Unfolding Map by Edge Dynamics Modeling.
CoRR, 2016

Network structural optimization based on swarm intelligence for highlevel classification.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A New Evaluation Function for Clustering: The NK Internal Validation Criterion.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

Random Walk in Feature-Sample Networks for Semi-supervised Classification.
Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016

Musical Scales Recognition via Deterministic Walk in a Graph.
Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016

Machine Learning in Complex Networks
Springer, ISBN: 978-3-319-17290-3, 2016

2015
High-level pattern-based classification via tourist walks in networks.
Inf. Sci., 2015

Network-based supervised data classification by using an heuristic of ease of access.
Neurocomputing, 2015

Particle competition and cooperation for semi-supervised learning with label noise.
Neurocomputing, 2015

A Time Series Clustering Technique based on Community Detection in Networks.
Proceedings of the INNS Conference on Big Data 2015, 2015

Interactive image segmentation using particle competition and cooperation.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Semi-supervised learning by edge domination in complex networks.
Proceedings of the 11th International Conference on Natural Computation, 2015

Interactive Image Segmentation of Non-contiguous Classes Using Particle Competition and Cooperation.
Proceedings of the Computational Science and Its Applications - ICCSA 2015, 2015

2014
Network-based data classification: combining K-associated optimal graphs and high-level prediction.
J. Braz. Comp. Soc., 2014

Effect of nonidentical signal phases on signal amplification of two coupled excitable neurons.
Neurocomputing, 2014

A semi-supervised classification technique based on interacting forces.
Neurocomputing, 2014

A flocking-like technique to perform semi-supervised learning.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

K-associated optimal network for graph embedding dimensionality reduction.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Imputation of missing data supported by Complete p-Partite attribute-based Decision Graphs.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Rhythmic Pattern Extraction by Community Detection in Complex Networks.
Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014

Detecting Time Series Periodicity Using Complex Networks.
Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014

An Object-Based Visual Selection Model Combining Physical Features and Memory.
Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014

2013
Phase-Noise-Induced Resonance in Arrays of Coupled Excitable Neural Models.
IEEE Trans. Neural Netw. Learning Syst., 2013

Fuzzy community structure detection by particle competition and cooperation.
Soft Comput., 2013

Classification of multiple observation sets via network modularity.
Neural Computing and Applications, 2013

Handwritten Data Clustering Using Agents Competition in Networks.
Journal of Mathematical Imaging and Vision, 2013

Uncovering overlapping cluster structures via stochastic competitive learning.
Inf. Sci., 2013

An incremental learning algorithm based on the K-associated graph for non-stationary data classification.
Inf. Sci., 2013

Data clustering using controlled consensus in complex networks.
Neurocomputing, 2013

High Level Pattern Classification via Tourist Walks in Networks
CoRR, 2013

A Purity Measure Based Transductive Learning Algorithm.
Proceedings of the Advances in Neural Networks - ISNN 2013, 2013

Semi-Supervised Learning Using Random Walk Limiting Probabilities.
Proceedings of the Advances in Neural Networks - ISNN 2013, 2013

Bias-Guided Random Walk for Network-Based Data Classification.
Proceedings of the Advances in Neural Networks - ISNN 2013, 2013

High level data classification based on network entropy.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Computer-aided music composition with LSTM neural network and chaotic inspiration.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Detecting and labeling representative nodes for network-based semi-supervised learning.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Top-Down Biasing and Modulation for Object-Based Visual Attention.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

Attribute-based Decision Graphs for multiclass data classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Ensemble of complete P-partite graph classifiers for non-stationary environments.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012
Network-Based High Level Data Classification.
IEEE Trans. Neural Netw. Learning Syst., 2012

Network-Based Stochastic Semisupervised Learning.
IEEE Trans. Neural Netw. Learning Syst., 2012

Stochastic Competitive Learning in Complex Networks.
IEEE Trans. Neural Netw. Learning Syst., 2012

Enhancing Weak Signal Transmission Through a Feedforward Network.
IEEE Trans. Neural Netw. Learning Syst., 2012

Particle Competition and Cooperation in Networks for Semi-Supervised Learning.
IEEE Trans. Knowl. Data Eng., 2012

Detecting and Preventing Error Propagation via Competitive Learning.
Proceedings of the 3rd International Neural Network Society Winter Conference, 2012

Phase-disorder-induced firing activity in excitable neuronal networks with attractive and repulsive coupling.
Neural Networks, 2012

Partially labeled data stream classification with the semi-supervised K-associated graph.
J. Braz. Comp. Soc., 2012

Semi-supervised learning guided by the modularity measure in complex networks.
Neurocomputing, 2012

Firing Activity Induced by Nonidentical Signal Phases in Two Coupled Excitable Neurons.
Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012

An Energy Exchanging Mechanism for Data Clustering.
Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012

Using Katz Centrality to Classify Multiple Pattern Transformations.
Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012

Using Interacting Forces to Perform Semi-supervised Learning.
Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012

Particle Competition and Cooperation to Prevent Error Propagation from Mislabeled Data in Semi-supervised Learning.
Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012

An Object-Based Visual Selection Model with Bottom-Up and Top-Down Modulations.
Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012

Robustness Analysis of Network-Based Semi-supervised Learning Algorithms.
Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012

Preventing Error Propagation in Semi-supervised Learning.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

Detecting overlapping structures via network-based competitive learning.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

QK-Means: A clustering technique based on community detection and K-Means for deployment of cluster head nodes.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Particle competition and cooperation in networks for semi-supervised learning with concept drift.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Model of top-down / bottom-up visual attention for location of salient objects in specific domains.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Stochastic Resonance in Excitable Neuronal System with Phase-Noise.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2012

2011
Selecting salient objects in real scenes: An oscillatory correlation model.
Neural Networks, 2011

A nonparametric classification method based on K-associated graphs.
Inf. Sci., 2011

High Level Classification for Pattern Recognition.
Proceedings of the 24th SIBGRAPI Conference on Graphics, 2011

Stochastic Competitive Learning Applied to Handwritten Digit and Letter Clustering.
Proceedings of the 24th SIBGRAPI Conference on Graphics, 2011

Particle Competition and Cooperation for Uncovering Network Overlap Community Structure.
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

Network-based learning through particle competition for data clustering.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Controlled consensus time for community detection in complex networks.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Generation of composed musical structures through recurrent neural networks based on chaotic inspiration.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010
Identifying Abnormal Nodes in Protein-Protein Interaction Networks.
Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010

Label propagation through neuronal synchrony.
Proceedings of the International Joint Conference on Neural Networks, 2010

Semi-supervised learning from imperfect data through particle cooperation and competition.
Proceedings of the International Joint Conference on Neural Networks, 2010

Traffic Congestion on Clustered Random Complex Networks.
Proceedings of the Complex Networks - Second International Workshop, 2010

Identifying abnormal nodes in complex networks by using random walk measure.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Editorial.
Soft Comput., 2009

Chaotic phase synchronization and desynchronization in an oscillator network for object selection.
Neural Networks, 2009

A network of integrate and fire neurons for visual selection.
Neurocomputing, 2009

Design of associative memories using cellular neural networks.
Neurocomputing, 2009

An oscillatory correlation model of object-based attention.
Proceedings of the International Joint Conference on Neural Networks, 2009

Chaotic phase synchronization for visual selection.
Proceedings of the International Joint Conference on Neural Networks, 2009

Classification Based on the Optimal K-Associated Network.
Proceedings of the Complex Sciences, 2009

Particle Competition in Complex Networks for Semi-supervised Classification.
Proceedings of the Complex Sciences, 2009

Uncovering Overlap Community Structure in Complex Networks Using Particle Competition.
Proceedings of the Artificial Intelligence and Computational Intelligence, 2009

2008
Chaotic synchronization in general network topology for scene segmentation.
Neurocomputing, 2008

Chaotic synchronization in 2D lattice for scene segmentation.
Neurocomputing, 2008

Visual Selection with Feature Contrast-Based Inhibition in a Network of Integrate and Fire Neurons.
Proceedings of the Fourth International Conference on Natural Computation, 2008

Complex Network Community Detection Based on Swarm Aggregation.
Proceedings of the Fourth International Conference on Natural Computation, 2008

Data clustering based on complex network community detection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
Attack Induced Cascading Breakdown in Complex Networks.
J. Braz. Comp. Soc., 2007

Pixel Clustering by Using Complex Network Community Detection Technique.
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007

A Visual Selection Mechanism Based on Network of Chaotic Wilson-Cowan Oscillators.
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007

Associative Memories Using Cellular Neural Networks.
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007

A Network of Dynamically Coupled Elements for Pixel Clustering.
Proceedings of the International Joint Conference on Neural Networks, 2007

A Visual Selection Mechanism Based on a Pulse-Coupled Neural Network.
Proceedings of the International Joint Conference on Neural Networks, 2007

Visual Selection and Shifting Mechanisms Based on a Network of Chaotic Wilson-Cowan Oscillators.
Proceedings of the Third International Conference on Natural Computation, 2007

2006
Chaotic dynamics for multi-value content addressable memory.
Neurocomputing, 2006

A Pulse-Coupled Neural Network as A Simplified Bottom-Up Visual Attention Model.
Proceedings of the SBRN 2006, 2006

2005
A Self-organized Network for Data Clustering.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

2004
Pixel clustering by adaptive pixel moving and chaotic synchronization.
IEEE Trans. Neural Networks, 2004

A dynamical model with adaptive pixel moving for microarray images segmentation.
Real-Time Imaging, 2004

2003
A Network of Coupled Chaotic Maps for Adaptive Multi-Scale Image Segmentation.
Int. J. Neural Syst., 2003

2002
A Network of Globally Coupled Chaotic Maps for Adaptive Multi-Resolution Image Segmentation.
Proceedings of the 7th Brazilian Symposium on Neural Networks (SBRN 2002), 2002

2001
A network of dynamically coupled chaotic maps for scene segmentation.
IEEE Trans. Neural Networks, 2001

2000
Scene Segmentation of the Chaotic oscillator Network.
I. J. Bifurcation and Chaos, 2000

Fractal Color Image Compression.
Proceedings of the 13th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2000), 2000

1998
Locally excitatory chaotic oscillator network for scene segmentation.
PhD thesis, 1998


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