Thiago C. Silva

According to our database1, Thiago C. Silva authored at least 32 papers between 2007 and 2020.

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



In proceedings 
PhD thesis 


Online presence:



Comparing the impact of subfields in scientific journals.
Scientometrics, 2020

Modeling Economic Networks with Firm-to-Firm Wire Transfers.
CoRR, 2020

Applications of Machine Learning Methods in Complex Economics and Financial Networks.
Complex., 2020

Financial Networks 2019.
Complex., 2019

Modeling Investor Behavior Using Machine Learning: Mean-Reversion and Momentum Trading Strategies.
Complex., 2019

Internet Access in Brazilian Households: Evaluating the Effect of an Economic Recession.
Proceedings of the New Knowledge in Information Systems and Technologies, 2019

Financial Networks.
Complex., 2018

An object-based visual selection framework.
Neurocomputing, 2016

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

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

Connectivity and systemic risk in the Brazilian national payments system.
J. Complex Networks, 2014

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

Classification of multiple observation sets via network modularity.
Neural Comput. Appl., 2013

Handwritten Data Clustering Using Agents Competition in Networks.
J. Math. Imaging Vis., 2013

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

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

Network-based stochastic competitive learning approach to disambiguation in collaborative networks
CoRR, 2013

Word sense disambiguation via high order of learning in complex networks
CoRR, 2013

Discriminating word senses with tourist walks in complex networks.
CoRR, 2013

Aprendizado de máquina em redes complexas: modelagem, análise e aplicações.
PhD thesis, 2012

Network-Based High Level Data Classification.
IEEE Trans. Neural Networks Learn. Syst., 2012

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

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

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

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

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

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

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

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