A new hybrid neural architecture (MLP+RPE) for hetero association: multi layer perceptron and coupled recursive processing elements neural networks. - Emílio Del Moral Hernandez; Leandro Augusto da Silva 001 (IJCNN, 2004)

Neural Networks and Rough Sets: A comparative study on data classification. - Renato José Sassi; Leandro Augusto da Silva 001; Emílio Del Moral Hernandez (IC-AI, 2006)

Medical Image Categorization Based on Wavelet Transform and Self-Organizing Map. - Leandro Augusto da Silva 001; Ramon Alfredo Moreno; Sérgio Shiguemi Furuie; Emílio Del Moral Hernandez (ISDA, 2007)

Using self Organizing Maps and Nearest-Neighbor to Data Clustering. - Clodis Boscarioli; Emílio Del Moral Hernandez; Leandro Augusto da Silva 001 (IC-AI, 2008)

A self-organizing architecture of recursive elements for continuous learning. - Leandro Augusto da Silva 001; Humberto Sandmann; Emílio Del Moral Hernandez (IJCNN, 2008)

A Methodology Using Neural Network to Cluster Validity Discovered from a Marketing Database. - Renato José Sassi; Leandro Augusto da Silva 001; Emílio Del Moral Hernandez (SBRN, 2008)

Classification of breast masses using a committee machine of artificial neural networks. - Leandro Augusto da Silva 001; Emílio Del Moral Hernandez; Rangaraj M. Rangayyan (J. Electronic Imaging, 2008)

Visual Interpretation of Self Organizing Maps. - Edson C. Kitani; Emílio Del Moral Hernandez; Carlos E. Thomaz; Leandro Augusto da Silva 001 (SBRN, 2010)

A Comparison of Dimensionality Reduction Methods Using Topology Preservation Indexes. - Claudio J. F. de Medeiros; José Alfredo Ferreira Costa; Leandro Augusto da Silva 001 (IDEAL, 2011)

A Graph Partitioning Approach to SOM Clustering. - Leandro Augusto da Silva 001; José Alfredo F. Costa (IDEAL, 2011)

A SOM combined with KNN for classification task. - Leandro Augusto da Silva 001; Emilio Del-Moral-Hernandez (IJCNN, 2011)

Combining wavelets transform and Hu moments with self-organizing maps for medical image categorization. - Leandro Augusto da Silva 001; Emilio Del-Moral-Hernandez; Ramon Alfredo Moreno; Sérgio Shiguemi Furuie (J. Electronic Imaging, 2011)

SOMM - Self-Organized Manifold Mapping. - Edson Caoru Kitani; Emilio Del-Moral-Hernandez; Leandro Augusto da Silva 001 (ICANN (2), 2012)

Learning Embedded Data Structure with Self-Organizing Maps. - Edson C. Kitani; Emilio Del-Moral-Hernandez; Leandro Augusto da Silva 001 (WSOM, 2012)

Image Representation Using the Self-Organizing Map. - Leandro Augusto da Silva 001; Bruno Pazzinato; Orlando B. Coelho (WSOM, 2012)

Fine-tuning of the SOMkNN classifier. - Leandro Augusto da Silva 001; Edson C. Kitani; Emilio Del-Moral-Hernandez (IJCNN, 2013)

A Bee-Inspired Data Clustering Approach to Design RBF Neural Network Classifiers. - Dávila Patrícia Ferreira Cruz; Renato Dourado Maia; Leandro Augusto da Silva 001; Leandro Nunes de Castro (DCAI, 2014)

Thresholding the Courtesy Amount of Brazilian Bank Checks Using a Local Methodology. - Rafael Felix; Leandro Augusto da Silva 001; Leandro Nunes de Castro (PAAMS (Workshops), 2015)

Data classification combining Self-Organizing Maps and Informative Nearest Neighbor. - Leandro J. Moreira; Leandro Augusto da Silva 001 (IJCNN, 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 001; Leandro Nunes de Castro (Neurocomputing, 2016)

Self-organizing maps to find computational thinking features in a game building workshop. - Alexandra A. de Souza; Thiago S. Barcelos; Roberto Muñoz 001; Ismar Frango Silveira; Nizam Omar; Leandro Augusto da Silva 001 (CLEI, 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 001; Massaki de O. Igarashi; Gabriel Melo F. Correia (IRI, 2017)

Prototype Generation Using Self-Organizing Maps for Informativeness-Based Classifier. - Leandro J. Moreira; Leandro Augusto da Silva 001 (Comput. Intell. Neurosci., 2017)

Data Quality Measurement Framework. - Marcos Fereira; Leandro Augusto da Silva 001 (CLEI, 2018)

Prototype Selection Using Self-Organizing-Maps and Entropy for Overlapped Classes and Imbalanced Data. - Marcio Rubbo; Leandro Augusto da Silva 001 (IJCNN, 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 001 (J. Univers. Comput. Sci., 2018)

Product Recommendation Through Real-Time Object Recognition on Image Classifiers. - Nelson Forte de Souza Junior; Leandro Augusto da Silva 001; Maurício Marengoni (ICIAR (2), 2019)

A Self-generating Prototype Method Based on Information Entropy Used for Condensing Data in Classification Tasks. - Alberto Manastarla; Leandro Augusto da Silva 001 (IDEAL (1), 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 001; Rodolfo Villarroel; Leandro Augusto da Silva 001 (IEEE Access, 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 001 (Sensors, 2019)

M-QAM Demodulation based on Machine Learning. - Roberto Neves Toledo; Cristiano Akamine; Fadi Jerji; Leandro Augusto da Silva 001 (BMSB, 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 001; Arnaldo R. A. Vallim Filho (CLEI, 2020)

A model to estimate the Self-Organizing Maps grid dimension for Prototype Generation. - Leandro Augusto da Silva 001; Bruno P. de Vasconcelos; Emilio Del-Moral-Hernandez (Intell. Data Anal., 2021)

3D Reconstruction of Non-Rigid Plants and Sensor Data Fusion for Agriculture Phenotyping. - Gustavo Scalabrini Sampaio; Leandro Augusto da Silva 001; Maurício Marengoni (Sensors, 2021)

Modeling the combined influence of complexity and quality in supervised learning. - Renê de Ávila Mendes; Leandro Augusto da Silva 001 (Intell. Data Anal., 2022)

Accelerometer. - Gustavo Scalabrini Sampaio; Arnaldo Rabello de Aguiar Vallim Filho; Leilton Santos da Silva; Leandro Augusto da Silva 001 (UCI Machine Learning Repository, 2023)

Enhancing dynamic ensemble selection: combining self-generating prototypes and meta-classifier for data classification. - Alberto Manastarla; Leandro Augusto da Silva 001 (Neural Comput. Appl., 2024)

Drift Detection Methods on Machine Learning Systems: a Discussion over Discrete Live Data. - André C. Rocha; Michel B. P. Oliveira; Lucia Akemi Miyazato Saito; Bruno L. S. Lima; Leandro Augusto da Silva 001 (SBSI, 2025)