Gustavo H. Rosa

According to our database, Gustavo H. Rosa authored at least 51 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Fine-Tuning Restricted Boltzmann Machines Using No-Boundary Jellyfish.

Douglas Rodrigues, Gustavo Henrique de Rosa, Kelton Augusto Pontara da Costa, Danilo Samuel Jodas, João Paulo Papa

Proceedings of the 18th International Joint Conference on Computer Vision, 2023

Small Character Models Match Large Word Models for Autocomplete Under Memory Constraints.

Ganesh Jawahar, Subhabrata Mukherjee, Debadeepta Dey, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Caio C. T. Mendes, Gustavo Henrique de Rosa, Shital Shah

Proceedings of The Fourth Workshop on Simple and Efficient Natural Language Processing, 2023

2022

Energy-Based Dropout in Restricted Boltzmann Machines: Why Not Go Random.

Mateus Roder, Gustavo Henrique de Rosa, Victor Hugo C. de Albuquerque, André L. D. Rossi, João P. Papa

IEEE Trans. Emerg. Top. Comput. Intell., 2022

Convolutional neural networks ensembles through single-iteration optimization.

Luiz Carlos Felix Ribeiro, Gustavo H. de Rosa, Douglas Rodrigues, João P. Papa

Soft Comput., 2022

Optimum-path forest stacking-based ensemble for intrusion detection.

Mateus A. Bertoni, Gustavo H. de Rosa, José Remo Ferreira Brega

Evol. Intell., 2022

Neighbour-based bag-of-samplings for person identification through handwritten dynamics and convolutional neural networks.

Gustavo H. de Rosa, Mateus Roder, João P. Papa

Expert Syst. J. Knowl. Eng., 2022

Which Generative Adversarial Network Yields High-Quality Synthetic Medical Images: Investigation Using AMD Image Datasets.

Guilherme C. Oliveira, Gustavo H. Rosa, Daniel C. G. Pedronette, João P. Papa, Himeesh Kumar, Leandro A. Passos, Dinesh Kant Kumar

CoRR, 2022

LiteTransformerSearch: Training-free On-device Search for Efficient Autoregressive Language Models.

Mojan Javaheripi, Shital Shah, Subhabrata Mukherjee, Tomasz L. Religa, Caio C. T. Mendes, Gustavo H. de Rosa, Sébastien Bubeck, Farinaz Koushanfar, Debadeepta Dey

CoRR, 2022

Comparative Study Between Distance Measures On Supervised Optimum-Path Forest Classification.

Gustavo Henrique de Rosa, Mateus Roder, João Paulo Papa

CoRR, 2022

Deep Learning-Based Abstractive Summarization for Brazilian Portuguese Texts.

Pedro H. Paiola, Gustavo H. de Rosa, João P. Papa

Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022

2021

OPFython: A Python implementation for Optimum-Path Forest.

Gustavo Henrique de Rosa, João P. Papa

Softw. Impacts, 2021

A survey on text generation using generative adversarial networks.

Gustavo Henrique de Rosa, João P. Papa

Pattern Recognit., 2021

Speeding Up OPFython with Numba.

Gustavo Henrique de Rosa, João Paulo Papa

CoRR, 2021

Fast Ensemble Learning Using Adversarially-Generated Restricted Boltzmann Machines.

Gustavo Henrique de Rosa, Mateus Roder, João P. Papa

CoRR, 2021

Reinforcing learning in Deep Belief Networks through nature-inspired optimization.

Mateus Roder, Leandro Aparecido Passos, Gustavo Henrique de Rosa, Victor Hugo C. de Albuquerque, João Paulo Papa

Appl. Soft Comput., 2021

Improving Pre- Trained Weights through Meta - Heuristics Fine- Tuning.

Gustavo Henrique de Rosa, Mateus Roder, João Paulo Papa, Claudio Filipi Goncalves dos Santos

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

From Actions to Events: A Transfer Learning Approach Using Improved Deep Belief Networks.

Mateus Roder, Jurandy Almeida, Gustavo Henrique de Rosa, Leandro A. Passos, André L. D. Rossi, João P. Papa

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Enhancing Shallow Neural Networks Through Fourier-based Information Fusion for Stroke Classification.

Mateus Roder, Gustavo Henrique Rosa, João Paulo Papa, Daniel Carlos Guimarães Pedronette

Proceedings of the 34th SIBGRAPI Conference on Graphics, Patterns and Images, 2021

Fine-Tuning Dropout Regularization in Energy-Based Deep Learning.

Gustavo Henrique de Rosa, Mateus Roder, João P. Papa

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2021

Enhancing Hyper-to-Real Space Projections Through Euclidean Norm Meta-heuristic Optimization.

Luiz Carlos Felix Ribeiro, Mateus Roder, Gustavo Henrique de Rosa, Leandro A. Passos, João P. Papa

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2021

2020

Adaptive Improved Flower Pollination Algorithm for Global Optimization.

Douglas Rodrigues, Gustavo Henrique de Rosa, Leandro Aparecido Passos, João Paulo Papa

Proceedings of the Nature-Inspired Computation in Data Mining and Machine Learning, 2020

On the Assessment of Nature-Inspired Meta-Heuristic Optimization Techniques to Fine-Tune Deep Belief Networks.

Leandro Aparecido Passos, Gustavo Henrique de Rosa, Douglas Rodrigues, Mateus Roder, João Paulo Papa

Proceedings of the Deep Neural Evolution - Deep Learning with Evolutionary Computation, 2020

Learnergy: Energy-based Machine Learners.

Mateus Roder, Gustavo Henrique de Rosa, João Paulo Papa

CoRR, 2020

OPFython: A Python-Inspired Optimum-Path Forest Classifier.

Gustavo Henrique de Rosa, João Paulo Papa, Alexandre Xavier Falcão

CoRR, 2020

A nature-inspired feature selection approach based on hypercomplex information.

Gustavo Henrique de Rosa, João P. Papa, Xin-She Yang

Appl. Soft Comput., 2020

Creating Classifier Ensembles through Meta-heuristic Algorithms for Aerial Scene Classification.

Álvaro R. Ferreira, Gustavo Henrique de Rosa, João P. Papa, Gustavo Carneiro, Fábio Augusto Faria

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Harnessing Particle Swarm optimization Through Relativistic Velocity.

Mateus Roder, Gustavo Henrique de Rosa, Leandro Aparecido Passos, João Paulo Papa, André Luis Debiaso Rossi

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Fine-Tuning Temperatures in Restricted Boltzmann Machines Using Meta-Heuristic Optimization.

Mateus Roder, Gustavo Henrique de Rosa, João Paulo Papa, Fabricio Aparecido Breve

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

Semi-supervised learning with connectivity-driven convolutional neural networks.

Willian Paraguassu Amorim, Gustavo Henrique Rosa, Rogério Thomazella, José Eduardo Cogo Castanho, Fábio Romano Lofrano Dotto, Oswaldo Pons Rodrigues Júnior, Aparecido Nilceu Marana, João Paulo Papa

Pattern Recognit. Lett., 2019

Fine-tuning restricted Boltzmann machines using quaternions and its application for spam detection.

Luis Alexandre da Silva, Kelton A. P. da Costa, João P. Papa, Gustavo H. Rosa, Victor Hugo C. de Albuquerque

IET Networks, 2019

A recurrence plot-based approach for Parkinson's disease identification.

Luis Claudio Sugi Afonso, Gustavo H. Rosa, Clayton R. Pereira, Silke A. T. Weber, Christian Hook, Victor Hugo C. de Albuquerque, João P. Papa

Future Gener. Comput. Syst., 2019

Opytimizer: A Nature-Inspired Python Optimizer.

Gustavo Henrique de Rosa, João P. Papa

CoRR, 2019

2018

Handling dropout probability estimation in convolution neural networks using meta-heuristics.

Gustavo H. Rosa, João P. Papa, Xin-She Yang

Soft Comput., 2018

Feature selection through binary brain storm optimization.

João P. Papa, Gustavo H. Rosa, André N. de Souza, Luis Claudio Sugi Afonso

Comput. Electr. Eng., 2018

Handwritten dynamics assessment through convolutional neural networks: An application to Parkinson's disease identification.

Clayton R. Pereira, Danilo R. Pereira, Gustavo H. Rosa, Victor Hugo C. de Albuquerque, Silke A. T. Weber, Christian Hook, João P. Papa

Artif. Intell. Medicine, 2018

Stroke Lesion Detection Using Convolutional Neural Networks.

Danillo Roberto Pereira, Pedro Pedrosa Rebouças Filho, Gustavo Henrique de Rosa, João Paulo Papa, Victor Hugo C. de Albuquerque

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

Environmental Monitoring Using Drone Images and Convolutional Neural Networks.

Rogério Thomazella, José E. C. Castanho, Fébio R. L. Dotto, Oswaldo Pons Rodrigues Júnior, Gustavo Henrique Rosa, Aparecido Nilceu Marana, João P. Papa

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017

A binary-constrained Geometric Semantic Genetic Programming for feature selection purposes.

João Paulo Papa, Gustavo Henrique Rosa, Luciene P. Papa

Pattern Recognit. Lett., 2017

LibOPT: An Open-Source Platform for Fast Prototyping Soft Optimization Techniques.

João Paulo Papa, Gustavo Henrique Rosa, Douglas Rodrigues, Xin-She Yang

CoRR, 2017

Quaternion-based Deep Belief Networks fine-tuning.

João Paulo Papa, Gustavo H. Rosa, Danillo Roberto Pereira, Xin-She Yang

Appl. Soft Comput., 2017

Feature selection using geometric semantic genetic programming.

Gustavo H. Rosa, João Paulo Papa, Luciene P. Papa

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Quaternionic Flower Pollination Algorithm.

Gustavo H. Rosa, Luis Claudio Sugi Afonso, Alexandro Baldassin, João P. Papa, Xin-She Yang

Proceedings of the Computer Analysis of Images and Patterns, 2017

2016

Convolutional Neural Networks Applied for Parkinson's Disease Identification.

Clayton R. Pereira, Danillo Roberto Pereira, João Paulo Papa, Gustavo H. Rosa, Xin-She Yang

Proceedings of the Machine Learning for Health Informatics, 2016

Deep Learning-Aided Parkinson's Disease Diagnosis from Handwritten Dynamics.

Clayton R. Pereira, Silke A. T. Weber, Christian Hook, Gustavo H. Rosa, João Paulo Papa

Proceedings of the 29th SIBGRAPI Conference on Graphics, Patterns and Images, 2016

Learning Parameters in Deep Belief Networks Through Firefly Algorithm.

Gustavo H. Rosa, João Paulo Papa, Kelton A. P. Costa, Leandro A. Passos Junior, Clayton R. Pereira, Xin-She Yang

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2016

2015

Model selection for Discriminative Restricted Boltzmann Machines through meta-heuristic techniques.

João Paulo Papa, Gustavo H. Rosa, Aparecido Nilceu Marana, Walter J. Scheirer, David D. Cox

J. Comput. Sci., 2015

Malware Detection in Android-Based Mobile Environments Using Optimum-Path Forest.

Kelton A. P. da Costa, Luis Alexandre da Silva, Guilherme Brandão Martins, Gustavo H. Rosa, Clayton R. Pereira, João Paulo Papa

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

On the Model Selection of Bernoulli Restricted Boltzmann Machines Through Harmony Search.

João P. Papa, Gustavo Henrique Rosa, Kelton A. P. Costa, Nilceu A. Marana, Walter J. Scheirer, David Daniel Cox

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Fine-Tuning Convolutional Neural Networks Using Harmony Search.

Gustavo H. Rosa, João Paulo Papa, Aparecido Nilceu Marana, Walter J. Scheirer, David D. Cox

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2015

2014

On the Training of Artificial Neural Networks with Radial Basis Function Using Optimum-Path Forest Clustering.

Gustavo H. Rosa, Kelton A. P. Costa, Leandro A. Passos Junior, João Paulo Papa, Alexandre X. Falcão, João Manuel R. S. Tavares

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2012

Automatic landslide recognition through Optimum-Path Forest.

Rodrigo Pisani, Paulina Riedel, Kelton A. P. Costa, Rodrigo Nakamura, Clayton R. Pereira, Gustavo H. Rosa, João P. Papa

Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012