Leonardo Nogueira Matos

发表

Acoustic models comparison using HTK and the Spoltech corpus to Brazilian Portuguese

Yuri T. Passos, Carlos A. F. Pimentel Filho, Uriel Marx C. Bispo, 2009, WebMedia.

Multi-kernel approach to Parallelization of EM Algorithm for GMM Training

Hendrik T. Macedo, Leonardo Nogueira Matos, Marcus Medeiros, 2014, 2014 Brazilian Conference on Intelligent Systems.

Combining global and local classifiers with Bayesian network

João Marques de Carvalho, Leonardo Nogueira Matos, J. Carvalho, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Evaluating a Zoning Mechanism and Class-Modular Architecture for Handwritten Characters Recognition

Cinthia Obladen de Almendra Freitas, João Marques de Carvalho, Leonardo Nogueira Matos, 2007, CIARP.

On the infinite clipping of handwritten signatures

Jugurta R. Montalvão Filho, Bernadette Dorizzi, Leonardo Nogueira Matos, 2016, Pattern Recognit. Lett..

Interpretability of a Deep Learning Model for Rodents Brain Semantic Segmentation

Paulo Novais, Victor Alves, Leonardo Nogueira Matos, 2019, AIAI.

Combining global and local classifiers with Bayesian network

João Marques de Carvalho, Leonardo Nogueira Matos, J. Carvalho, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

RECONHECIMENTO DE PADRÕES BIOMÉDICOS UTILIZANDO MÁQUINAS DE APRENDIZADO PROFUNDO

Hendrik T. Macedo, Leonardo Nogueira Matos, Bruno Prado, 2018 .

Brazilian Portuguese speech-driven answering system

Hendrik T. Macedo, Leonardo Nogueira Matos, Artur L. C. Oliveira, 2012, 2012 6th Euro American Conference on Telematics and Information Systems (EATIS).

Objective Reduction on Many-Objective Traffic Lights Signaling Optimization

Leonardo Nogueira Matos, Andre Britto, Saulo Matos, 2018, 2018 IEEE Symposium on Computers and Communications (ISCC).

Active Image Data Augmentation

Flávio Arthur Oliveira Santos, Cleber Zanchettin, Leonardo Nogueira Matos, 2019, HAIS.

Deep Neural Networks for Acoustic Modeling in the Presence of Noise

Leonardo Nogueira Matos, Luciana Maiara Queiroz de Santana, Rafael Meneses Santos, 2018, IEEE Latin America Transactions.

Geometrical Approaches for Facial Expression Recognition Using Support Vector Machines

Leonardo Nogueira Matos, Jovan de Andrade Fernandes, Maria Gessica dos Santos Aragao, 2016, 2016 29th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI).

Paulo Novais, Teresa Bernarda Ludermir, Cleber Zanchettin, 2020, IDEAL.

A Systematic Method for Detecting Parallelized Software Bottlenecks and Suggesting Modifications: The Case of the Expectation Maximization Algorithm

Hendrik T. Macedo, Leonardo Nogueira Matos, Marco Túlio Chella, 2017, J. Softw..

Speech Recognition in Noisy Environments with Convolutional Neural Networks

Jugurta R. Montalvão Filho, Hendrik T. Macedo, Leonardo Nogueira Matos, 2015, 2015 Brazilian Conference on Intelligent Systems (BRACIS).

RECONHECIMENTO DE ESTADOS DOS OLHOS UTILIZANDO MÁQUINAS DE APRENDIZADO PROFUNDO A PARTIR DE ONDAS CEREBRAIS

Hendrik T. Macedo, Leonardo Nogueira Matos, Bruno Prado, 2019, Revista de Sistemas e Computação.

Construction of Brazilian Regulatory Traffic Sign Recognition Dataset

Cleber Zanchettin, Leonardo Nogueira Matos, Bruno O. Prado, 2021, CIARP.

A Hybrid Post Hoc Interpretability Approach for Deep Neural Networks

Cleber Zanchettin, Leonardo Nogueira Matos, Paulo Novais, 2021, HAIS.

An Initial Assessment of a Chatbot for Rumination-Focused Cognitive Behavioral Therapy (RFCBT) in College Students

Leonardo Nogueira Matos, Methanias Colaço Júnior, Alana Lucia Souza Oliveira, 2021, ICCSA.