Leandro Augusto da Silva

According to our database, Leandro Augusto da Silva authored at least 36 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Enhancing dynamic ensemble selection: combining self-generating prototypes and meta-classifier for data classification.

Alberto Manastarla, Leandro Augusto da Silva

Neural Comput. Appl., November, 2024

2023

Accelerometer.

Gustavo Scalabrini Sampaio, Arnaldo Rabello de Aguiar Vallim Filho, Leilton Santos da Silva, Leandro Augusto da Silva

Dataset, August, 2023

2022

Modeling the combined influence of complexity and quality in supervised learning.

Renê de Ávila Mendes, Leandro Augusto da Silva

Intell. Data Anal., 2022

2021

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

Gustavo Scalabrini Sampaio, Leandro Augusto da Silva, Maurício Marengoni

Sensors, 2021

A model to estimate the Self-Organizing Maps grid dimension for Prototype Generation.

Leandro Augusto da Silva, Bruno P. de Vasconcelos, Emilio Del-Moral-Hernandez

Intell. Data Anal., 2021

2020

Analytical Workbench: A Framework to Support Predictive Maintenance of Industrial Systems.

Giovanni G. C. Chrysostomo, Marco V. B. A. Vallim, Leandro Augusto da Silva, Arnaldo R. A. Vallim Filho

Proceedings of the XLVI Latin American Computing Conference, 2020

M-QAM Demodulation based on Machine Learning.

Roberto Neves Toledo, Cristiano Akamine, Fadi Jerji, Leandro Augusto da Silva

Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2020

2019

Prediction of Motor Failure Time Using An Artificial Neural Network.

Gustavo Scalabrini Sampaio, Arnaldo Rabello de Aguiar Vallim Filho, Leilton Santos da Silva, Leandro Augusto da Silva

Sensors, 2019

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

Alexandra A. de Souza, Thiago S. Barcelos, Roberto Muñoz, Rodolfo Villarroel, Leandro Augusto da Silva

IEEE Access, 2019

A Self-generating Prototype Method Based on Information Entropy Used for Condensing Data in Classification Tasks.

Alberto Manastarla, Leandro Augusto da Silva

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

Product Recommendation Through Real-Time Object Recognition on Image Classifiers.

Nelson Forte de Souza Junior, Leandro Augusto da Silva, Maurício Marengoni

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.

Roberto Muñoz-Soto, Rodolfo Villarroel, Thiago S. Barcelos, Alexandra A. de Souza, Erick Merino, Rodolfo Guiñez, Leandro Augusto da Silva

J. Univers. Comput. Sci., 2018

Prototype Selection Using Self-Organizing-Maps and Entropy for Overlapped Classes and Imbalanced Data.

Marcio Rubbo, Leandro Augusto da Silva

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Data Quality Measurement Framework.

Marcos Fereira, Leandro Augusto da Silva

Proceedings of the XLIV Latin American Computer Conference, 2018

2017

Prototype Generation Using Self-Organizing Maps for Informativeness-Based Classifier.

Leandro J. Moreira, Leandro Augusto da Silva

Comput. Intell. Neurosci., 2017

An Architecture for the Internet of Things and the Use of Big Data Techniques in the Analysis of Carbon Monoxide.

Marco Aurélio Borges, Paulo Batista Lopes, Leandro Augusto da Silva, Massaki de O. Igarashi, Gabriel Melo F. Correia

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.

Alexandra A. de Souza, Thiago S. Barcelos, Roberto Muñoz, Ismar Frango Silveira, Nizam Omar, Leandro Augusto da Silva

Proceedings of the 2017 XLIII Latin American Computer Conference, 2017

2016

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

Dávila Patrícia Ferreira Cruz, Renato Dourado Maia, Leandro Augusto da Silva, Leandro Nunes de Castro

Neurocomputing, 2016

Data classification combining Self-Organizing Maps and Informative Nearest Neighbor.

Leandro J. Moreira, Leandro Augusto da Silva

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

Thresholding the Courtesy Amount of Brazilian Bank Checks Using a Local Methodology.

Rafael Felix, Leandro Augusto da Silva, Leandro Nunes de Castro

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.

Dávila Patrícia Ferreira Cruz, Renato Dourado Maia, Leandro Augusto da Silva, Leandro Nunes de Castro

Proceedings of the Distributed Computing and Artificial Intelligence, 2014

2013

Fine-tuning of the SOMkNN classifier.

Leandro Augusto da Silva, Edson C. Kitani, Emilio Del-Moral-Hernandez

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012

Image Representation Using the Self-Organizing Map.

Leandro Augusto da Silva, Bruno Pazzinato, Orlando B. Coelho

Proceedings of the Advances in Self-Organizing Maps - 9th International Workshop, 2012

Learning Embedded Data Structure with Self-Organizing Maps.

Edson C. Kitani, Emilio Del-Moral-Hernandez, Leandro Augusto da Silva

Proceedings of the Advances in Self-Organizing Maps - 9th International Workshop, 2012

SOMM - Self-Organized Manifold Mapping.

Edson Caoru Kitani, Emilio Del-Moral-Hernandez, Leandro Augusto da Silva

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.

Leandro Augusto da Silva, Emilio Del-Moral-Hernandez, Ramon Alfredo Moreno, Sérgio Shiguemi Furuie

J. Electronic Imaging, 2011

A SOM combined with KNN for classification task.

Leandro Augusto da Silva, Emilio Del-Moral-Hernandez

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

A Graph Partitioning Approach to SOM Clustering.

Leandro Augusto da Silva, José Alfredo F. Costa

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2011, 2011

A Comparison of Dimensionality Reduction Methods Using Topology Preservation Indexes.

Claudio J. F. de Medeiros, José Alfredo Ferreira Costa, Leandro Augusto da Silva

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2011, 2011

2010

Visual Interpretation of Self Organizing Maps.

Edson C. Kitani, Emílio Del Moral Hernandez, Carlos E. Thomaz, Leandro Augusto da Silva

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.

Leandro Augusto da Silva, Emílio Del Moral Hernandez, Rangaraj M. Rangayyan

J. Electronic Imaging, 2008

A Methodology Using Neural Network to Cluster Validity Discovered from a Marketing Database.

Renato José Sassi, Leandro Augusto da Silva, Emílio Del Moral Hernandez

Proceedings of the 10th Brazilian Symposium on Neural Networks (SBRN 2008), 2008

A self-organizing architecture of recursive elements for continuous learning.

Leandro Augusto da Silva, Humberto Sandmann, Emílio Del Moral Hernandez

Proceedings of the International Joint Conference on Neural Networks, 2008

Using self Organizing Maps and Nearest-Neighbor to Data Clustering.

Clodis Boscarioli, Emílio Del Moral Hernandez, Leandro Augusto da Silva

Proceedings of the 2008 International Conference on Artificial Intelligence, 2008

2007

Medical Image Categorization Based on Wavelet Transform and Self-Organizing Map.

Leandro Augusto da Silva, Ramon Alfredo Moreno, Sérgio Shiguemi Furuie, Emílio Del Moral Hernandez

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.

Renato José Sassi, Leandro Augusto da Silva, Emílio Del Moral Hernandez

Proceedings of the 2006 International Conference on Artificial Intelligence, 2006