Leandro Augusto da Silva

Orcid: 0000-0002-8671-3102

Affiliations:
  • Mackenzie Presbyterian University, Graduate Program in Electrical Engineering and Computing, São Paulo, Brazil


According to our database1, Leandro Augusto da Silva authored at least 35 papers between 2006 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Simple hemogram to support the decision-making of COVID-19 diagnosis using clusters analysis with self-organizing maps neural network.
Soft Comput., March, 2023

2022
Modeling the combined influence of complexity and quality in supervised learning.
Intell. Data Anal., 2022

2021
3D Reconstruction of Non-Rigid Plants and Sensor Data Fusion for Agriculture Phenotyping.
Sensors, 2021

A model to estimate the Self-Organizing Maps grid dimension for Prototype Generation.
Intell. Data Anal., 2021

2020
Analytical Workbench: A Framework to Support Predictive Maintenance of Industrial Systems.
Proceedings of the XLVI Latin American Computing Conference, 2020

M-QAM Demodulation based on Machine Learning.
Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2020

2019
Prediction of Motor Failure Time Using An Artificial Neural Network.
Sensors, 2019

Data Mining Framework to Analyze the Evolution of Computational Thinking Skills in Game Building Workshops.
IEEE Access, 2019

A Self-generating Prototype Method Based on Information Entropy Used for Condensing Data in Classification Tasks.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

Product Recommendation Through Real-Time Object Recognition on Image Classifiers.
Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019

2018
Development of a Software that Supports Multimodal Learning Analytics: A Case Study on Oral Presentations.
J. Univers. Comput. Sci., 2018

Prototype Selection Using Self-Organizing-Maps and Entropy for Overlapped Classes and Imbalanced Data.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Data Quality Measurement Framework.
Proceedings of the XLIV Latin American Computer Conference, 2018

2017
Prototype Generation Using Self-Organizing Maps for Informativeness-Based Classifier.
Comput. Intell. Neurosci., 2017

An Architecture for the Internet of Things and the Use of Big Data Techniques in the Analysis of Carbon Monoxide.
Proceedings of the 2017 IEEE International Conference on Information Reuse and Integration, 2017

Self-organizing maps to find computational thinking features in a game building workshop.
Proceedings of the 2017 XLIII Latin American Computer Conference, 2017

2016
BeeRBF: A bee-inspired data clustering approach to design RBF neural network classifiers.
Neurocomputing, 2016

Data classification combining Self-Organizing Maps and Informative Nearest Neighbor.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015
Thresholding the Courtesy Amount of Brazilian Bank Checks Using a Local Methodology.
Proceedings of the Highlights of Practical Applications of Agents, Multi-Agent Systems, and Sustainability - The PAAMS Collection, 2015

2014
A Bee-Inspired Data Clustering Approach to Design RBF Neural Network Classifiers.
Proceedings of the Distributed Computing and Artificial Intelligence, 2014

2013
Fine-tuning of the SOMkNN classifier.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012
Image Representation Using the Self-Organizing Map.
Proceedings of the Advances in Self-Organizing Maps - 9th International Workshop, 2012

Learning Embedded Data Structure with Self-Organizing Maps.
Proceedings of the Advances in Self-Organizing Maps - 9th International Workshop, 2012

SOMM - Self-Organized Manifold Mapping.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

2011
Combining wavelets transform and Hu moments with self-organizing maps for medical image categorization.
J. Electronic Imaging, 2011

A SOM combined with KNN for classification task.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

A Graph Partitioning Approach to SOM Clustering.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2011, 2011

A Comparison of Dimensionality Reduction Methods Using Topology Preservation Indexes.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2011, 2011

2010
Visual Interpretation of Self Organizing Maps.
Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010

2008
Classification of breast masses using a committee machine of artificial neural networks.
J. Electronic Imaging, 2008

A Methodology Using Neural Network to Cluster Validity Discovered from a Marketing Database.
Proceedings of the 10th Brazilian Symposium on Neural Networks (SBRN 2008), 2008

A self-organizing architecture of recursive elements for continuous learning.
Proceedings of the International Joint Conference on Neural Networks, 2008

Using self Organizing Maps and Nearest-Neighbor to Data Clustering.
Proceedings of the 2008 International Conference on Artificial Intelligence, 2008

2007
Medical Image Categorization Based on Wavelet Transform and Self-Organizing Map.
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007

2006
Neural Networks and Rough Sets: A comparative study on data classification.
Proceedings of the 2006 International Conference on Artificial Intelligence, 2006


  Loading...