Gustavo Henrique de Rosa

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 24

Top Topics

Text Generation

Classifier Ensemble

Deep Belief Networks

Top Venues

Appl. Soft Comput.

Publications

Douglas Rodrigues, Gustavo Henrique de Rosa, Kelton Augusto Pontara da Costa, Danilo Samuel Jodas, João Paulo Papa
Fine-Tuning Restricted Boltzmann Machines Using No-Boundary Jellyfish. VISIGRAPP (4: VISAPP) (2023)
Mateus Roder, Gustavo Henrique de Rosa, Victor Hugo C. de Albuquerque, André L. D. Rossi, João P. Papa
Energy-Based Dropout in Restricted Boltzmann Machines: Why Not Go Random. IEEE Trans. Emerg. Top. Comput. Intell. 6 (2) (2022)
Gustavo Henrique de Rosa, Mateus Roder, João Paulo Papa
Comparative Study Between Distance Measures On Supervised Optimum-Path Forest Classification. CoRR (2022)
Gustavo Henrique de Rosa, João Paulo Papa
A survey on text generation using generative adversarial networks. CoRR (2022)
Ganesh Jawahar, Subhabrata Mukherjee, Debadeepta Dey, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Caio César Teodoro Mendes, Gustavo Henrique de Rosa, Shital Shah
Small Character Models Match Large Word Models for Autocomplete Under Memory Constraints. CoRR (2022)
Luiz Carlos Felix Ribeiro, Mateus Roder, Gustavo Henrique de Rosa, Leandro A. Passos, João P. Papa
Enhancing Hyper-to-Real Space Projections Through Euclidean Norm Meta-heuristic Optimization. CIARP (2021)
Gustavo Henrique de Rosa, Mateus Roder, João Paulo Papa, Claudio Filipi Goncalves dos Santos
Improving Pre- Trained Weights through Meta - Heuristics Fine- Tuning. SSCI (2021)
Gustavo Henrique de Rosa, João P. Papa
A survey on text generation using generative adversarial networks. Pattern Recognit. 119 (2021)
Gustavo Henrique de Rosa, João Paulo Papa
Speeding Up OPFython with Numba. CoRR (2021)
Gustavo Henrique de Rosa, João Paulo Papa, Xin-She Yang
A Nature-Inspired Feature Selection Approach based on Hypercomplex Information. CoRR (2021)
Mateus Roder, Jurandy Almeida, Gustavo Henrique de Rosa, Leandro A. Passos, André L. D. Rossi, João P. Papa
From Actions to Events: A Transfer Learning Approach Using Improved Deep Belief Networks. SSCI (2021)
Gustavo Henrique de Rosa, João P. Papa
OPFython: A Python implementation for Optimum-Path Forest. Softw. Impacts 9 (2021)
Gustavo Henrique de Rosa, Mateus Roder, João P. Papa
Fast Ensemble Learning Using Adversarially-Generated Restricted Boltzmann Machines. CoRR (2021)
Mateus Roder, Leandro Aparecido Passos, Gustavo Henrique de Rosa, Victor Hugo C. de Albuquerque, João Paulo Papa
Reinforcing learning in Deep Belief Networks through nature-inspired optimization. Appl. Soft Comput. 108 (2021)
Gustavo Henrique de Rosa, Mateus Roder, João P. Papa
Fine-Tuning Dropout Regularization in Energy-Based Deep Learning. CIARP (2021)
Mateus Roder, Gustavo Henrique de Rosa, Victor Hugo C. de Albuquerque, André L. D. Rossi, João P. Papa
Energy-based Dropout in Restricted Boltzmann Machines: Why not go random. CoRR (2021)
Mateus Roder, Gustavo Henrique de Rosa, Leandro Aparecido Passos, João Paulo Papa, André Luis Debiaso Rossi
Harnessing Particle Swarm optimization Through Relativistic Velocity. CEC (2020)
Gustavo Henrique de Rosa, João Paulo Papa, Alexandre Xavier Falcão
OPFython: A Python-Inspired Optimum-Path Forest Classifier. CoRR (2020)
Mateus Roder, Gustavo Henrique de Rosa, João Paulo Papa, Fabricio Aparecido Breve
Fine-Tuning Temperatures in Restricted Boltzmann Machines Using Meta-Heuristic Optimization. CEC (2020)
Mateus Roder, Gustavo Henrique de Rosa, João Paulo Papa
Learnergy: Energy-based Machine Learners. CoRR (2020)
Álvaro R. Ferreira, Gustavo Henrique de Rosa, João P. Papa, Gustavo Carneiro, Fábio Augusto Faria
Creating Classifier Ensembles through Meta-heuristic Algorithms for Aerial Scene Classification. ICPR (2020)
Gustavo Henrique de Rosa, João P. Papa, Xin-She Yang
A nature-inspired feature selection approach based on hypercomplex information. Appl. Soft Comput. 94 (2020)
Gustavo Henrique de Rosa, João P. Papa
Opytimizer: A Nature-Inspired Python Optimizer. CoRR (2019)
Danillo Roberto Pereira, Pedro Pedrosa Rebouças Filho, Gustavo Henrique de Rosa, João Paulo Papa, Victor Hugo C. de Albuquerque
Stroke Lesion Detection Using Convolutional Neural Networks. IJCNN (2018)