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ORCIDGustavo H. Rosa
Gustavo H. de Rosa – Gustavo Henrique Rosa – Gustavo Henrique de Rosa
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2020 – today
- 2024
[j19]Gustavo H. de Rosa, Mateus Roder, Leandro A. Passos
, João Paulo Papa:
A comprehensive study among distance measures on supervised optimum-path forest classification. Appl. Soft Comput. 164: 112021 (2024)- [j18]Guilherme C. Oliveira, Gustavo H. Rosa, Daniel C. G. Pedronette, João P. Papa, Himeesh Kumar, Leandro A. Passos, Dinesh Kant Kumar:
Robust deep learning for eye fundus images: Bridging real and synthetic data for enhancing generalization. Biomed. Signal Process. Control. 94: 106263 (2024) - 2023
- [c22]Ganesh Jawahar, Subhabrata Mukherjee, Debadeepta Dey, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Caio C. T. Mendes, Gustavo Henrique de Rosa, Shital Shah:
Small Character Models Match Large Word Models for Autocomplete Under Memory Constraints. SustaiNLP 2023: 274-289 - [c21]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: 65-73 - [i16]Luiz Carlos Felix Ribeiro, Mateus Roder, Gustavo H. de Rosa, Leandro A. Passos, João P. Papa:
Enhancing Hyper-To-Real Space Projections Through Euclidean Norm Meta-Heuristic Optimization. CoRR abs/2301.13671 (2023) - 2022
- [j17]Gustavo H. de Rosa, Mateus Roder, João P. Papa:
Neighbour-based bag-of-samplings for person identification through handwritten dynamics and convolutional neural networks. Expert Syst. J. Knowl. Eng. 39(4) (2022) - [j16]Mateus A. Bertoni, Gustavo H. de Rosa, José Remo Ferreira Brega:
Optimum-path forest stacking-based ensemble for intrusion detection. Evol. Intell. 15(3): 2037-2054 (2022) - [j15]Luiz Carlos Felix Ribeiro, Gustavo H. de Rosa, Douglas Rodrigues, João P. Papa:
Convolutional neural networks ensembles through single-iteration optimization. Soft Comput. 26(8): 3871-3882 (2022) - [j14]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): 276-286 (2022) - [c20]Pedro H. Paiola, Gustavo H. de Rosa, João P. Papa:
Deep Learning-Based Abstractive Summarization for Brazilian Portuguese Texts. BRACIS (2) 2022: 479-493 - [i15]Gustavo Henrique de Rosa, Mateus Roder, João Paulo Papa:
Comparative Study Between Distance Measures On Supervised Optimum-Path Forest Classification. CoRR abs/2202.03854 (2022) - [i14]Mojan Javaheripi, Shital Shah, Subhabrata Mukherjee, Tomasz L. Religa, Caio C. T. Mendes, Gustavo H. de Rosa, Sébastien Bubeck, Farinaz Koushanfar, Debadeepta Dey:
LiteTransformerSearch: Training-free On-device Search for Efficient Autoregressive Language Models. CoRR abs/2203.02094 (2022) - [i13]Guilherme C. Oliveira, Gustavo H. Rosa, Daniel C. G. Pedronette, João P. Papa, Himeesh Kumar, Leandro A. Passos, Dinesh Kant Kumar:
Which Generative Adversarial Network Yields High-Quality Synthetic Medical Images: Investigation Using AMD Image Datasets. CoRR abs/2203.13856 (2022) - [i12]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 abs/2210.03251 (2022) - [i11]Mateus Roder, Jurandy Almeida, Gustavo H. 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. CoRR abs/2211.17045 (2022) - [i10]Gustavo H. de Rosa, Mateus Roder, João Paulo Papa, Claudio Filipi Goncalves dos Santos:
Improving Pre-Trained Weights Through Meta-Heuristics Fine-Tuning. CoRR abs/2212.09447 (2022) - [i9]Gustavo Henrique de Rosa, João Paulo Papa:
A survey on text generation using generative adversarial networks. CoRR abs/2212.11119 (2022) - 2021
- [j13]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: 107466 (2021) - [j12]Gustavo Henrique de Rosa, João P. Papa:
A survey on text generation using generative adversarial networks. Pattern Recognit. 119: 108098 (2021) - [j11]Gustavo Henrique de Rosa, João P. Papa:
OPFython: A Python implementation for Optimum-Path Forest. Softw. Impacts 9: 100113 (2021) - [c19]Gustavo Henrique de Rosa, Mateus Roder, João P. Papa:
Fine-Tuning Dropout Regularization in Energy-Based Deep Learning. CIARP 2021: 99-108 - [c18]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: 109-118 - [c17]Mateus Roder, Gustavo Henrique Rosa, João Paulo Papa, Daniel Carlos Guimarães Pedronette:
Enhancing Shallow Neural Networks Through Fourier-based Information Fusion for Stroke Classification. SIBGRAPI 2021: 378-385 - [c16]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: 1-8 - [c15]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: 1-8 - [i8]Gustavo Henrique de Rosa, Mateus Roder, João P. Papa:
Fast Ensemble Learning Using Adversarially-Generated Restricted Boltzmann Machines. CoRR abs/2101.01042 (2021) - [i7]Gustavo Henrique de Rosa, João Paulo Papa, Xin-She Yang:
A Nature-Inspired Feature Selection Approach based on Hypercomplex Information. CoRR abs/2101.05652 (2021) - [i6]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 abs/2101.06741 (2021) - [i5]Gustavo Henrique de Rosa, João Paulo Papa:
Speeding Up OPFython with Numba. CoRR abs/2106.11828 (2021) - 2020
- [j10]Gustavo Henrique de Rosa, João P. Papa, Xin-She Yang:
A nature-inspired feature selection approach based on hypercomplex information. Appl. Soft Comput. 94: 106453 (2020) - [c14]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: 1-8 - [c13]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: 1-8 - [c12]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: 415-422 - [p3]Leandro Aparecido Passos, Gustavo Henrique de Rosa, Douglas Rodrigues, Mateus Roder, João Paulo Papa:
On the Assessment of Nature-Inspired Meta-Heuristic Optimization Techniques to Fine-Tune Deep Belief Networks. Deep Neural Evolution 2020: 67-96 - [p2]Douglas Rodrigues, Gustavo Henrique de Rosa, Leandro Aparecido Passos, João Paulo Papa:
Adaptive Improved Flower Pollination Algorithm for Global Optimization. Nature-Inspired Computation in Data Mining and Machine Learning 2020: 1-21 - [d4]Mateus Roder, Gustavo Henrique de Rosa, João Paulo Papa:
Learnergy: Energy-based Machine Learners. Zenodo, 2020
- [d3]Gustavo Henrique de Rosa, João Paulo Papa, Alexandre Xavier Falcão:
OPFython: A Python-Inspired Optimum-Path Forest Classifier. Zenodo, 2020 - [d2]Gustavo Henrique de Rosa, Douglas Rodrigues, João Paulo Papa:
Opytimizer: A Nature-Inspired Python Optimizer. Version v2.1.2. Zenodo, 2020 [all versions] - [i4]Gustavo Henrique de Rosa, João Paulo Papa, Alexandre Xavier Falcão:
OPFython: A Python-Inspired Optimum-Path Forest Classifier. CoRR abs/2001.10420 (2020) - [i3]Mateus Roder, Gustavo Henrique de Rosa, João Paulo Papa:
Learnergy: Energy-based Machine Learners. CoRR abs/2003.07443 (2020)
2010 – 2019
- 2019
- [j9]Luis Claudio Sugi Afonso, Gustavo H. Rosa, Clayton R. Pereira, Silke A. T. Weber, Christian Hook, Victor Hugo C. de Albuquerque, João P. Papa:
A recurrence plot-based approach for Parkinson's disease identification. Future Gener. Comput. Syst. 94: 282-292 (2019) - [j8]Luis Alexandre da Silva, Kelton A. P. da Costa, João P. Papa, Gustavo H. Rosa, Victor Hugo C. de Albuquerque:
Fine-tuning restricted Boltzmann machines using quaternions and its application for spam detection. IET Networks 8(3): 164-168 (2019) - [j7]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:
Semi-supervised learning with connectivity-driven convolutional neural networks. Pattern Recognit. Lett. 128: 16-22 (2019) - [d1]Gustavo Henrique de Rosa, Douglas Rodrigues, João Paulo Papa:
Opytimizer: A Nature-Inspired Python Optimizer. Version v2.1.1. Zenodo, 2019 [all versions] - [i2]Gustavo Henrique de Rosa, João P. Papa:
Opytimizer: A Nature-Inspired Python Optimizer. CoRR abs/1912.13002 (2019) - 2018
- [j6]Clayton R. Pereira, Danilo R. Pereira, Gustavo H. Rosa, Victor Hugo C. de Albuquerque, Silke A. T. Weber, Christian Hook, João P. Papa:
Handwritten dynamics assessment through convolutional neural networks: An application to Parkinson's disease identification. Artif. Intell. Medicine 87: 67-77 (2018) - [j5]João P. Papa, Gustavo H. Rosa, André N. de Souza, Luis Claudio Sugi Afonso:
Feature selection through binary brain storm optimization. Comput. Electr. Eng. 72: 468-481 (2018) - [j4]Gustavo H. Rosa, João P. Papa, Xin-She Yang:
Handling dropout probability estimation in convolution neural networks using meta-heuristics. Soft Comput. 22(18): 6147-6156 (2018) - [c11]Rogério Thomazella, José E. C. Castanho, Fébio R. L. Dotto, Oswaldo Pons Rodrigues Júnior, Gustavo Henrique Rosa, Aparecido Nilceu Marana, João P. Papa:
Environmental Monitoring Using Drone Images and Convolutional Neural Networks. IGARSS 2018: 8941-8944 - [c10]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: 1-6 - 2017
- [j3]João Paulo Papa, Gustavo H. Rosa, Danillo Roberto Pereira, Xin-She Yang:
Quaternion-based Deep Belief Networks fine-tuning. Appl. Soft Comput. 60: 328-335 (2017) - [j2]João Paulo Papa, Gustavo Henrique Rosa, Luciene P. Papa:
A binary-constrained Geometric Semantic Genetic Programming for feature selection purposes. Pattern Recognit. Lett. 100: 59-66 (2017) - [c9]Gustavo H. Rosa, Luis Claudio Sugi Afonso, Alexandro Baldassin, João P. Papa, Xin-She Yang:
Quaternionic Flower Pollination Algorithm. CAIP (2) 2017: 47-58 - [c8]Gustavo H. Rosa, João Paulo Papa, Luciene P. Papa:
Feature selection using geometric semantic genetic programming. GECCO (Companion) 2017: 253-254 - [i1]João Paulo Papa, Gustavo Henrique Rosa, Douglas Rodrigues, Xin-She Yang:
LibOPT: An Open-Source Platform for Fast Prototyping Soft Optimization Techniques. CoRR abs/1704.05174 (2017) - 2016
- [c7]Gustavo H. Rosa, João Paulo Papa, Kelton A. P. Costa, Leandro A. Passos Junior, Clayton R. Pereira, Xin-She Yang:
Learning Parameters in Deep Belief Networks Through Firefly Algorithm. ANNPR 2016: 138-149 - [c6]Clayton R. Pereira, Silke A. T. Weber, Christian Hook, Gustavo H. Rosa, João Paulo Papa:
Deep Learning-Aided Parkinson's Disease Diagnosis from Handwritten Dynamics. SIBGRAPI 2016: 340-346 - [p1]Clayton R. Pereira, Danillo Roberto Pereira, João Paulo Papa, Gustavo H. Rosa, Xin-She Yang:
Convolutional Neural Networks Applied for Parkinson's Disease Identification. Machine Learning for Health Informatics 2016: 377-390 - 2015
- [j1]João Paulo Papa, Gustavo H. Rosa, Aparecido Nilceu Marana, Walter J. Scheirer, David D. Cox:
Model selection for Discriminative Restricted Boltzmann Machines through meta-heuristic techniques. J. Comput. Sci. 9: 14-18 (2015) - [c5]Gustavo H. Rosa, João Paulo Papa, Aparecido Nilceu Marana, Walter J. Scheirer, David D. Cox:
Fine-Tuning Convolutional Neural Networks Using Harmony Search. CIARP 2015: 683-690 - [c4]João P. Papa, Gustavo Henrique Rosa, Kelton A. P. Costa, Nilceu A. Marana, Walter J. Scheirer, David Daniel Cox:
On the Model Selection of Bernoulli Restricted Boltzmann Machines Through Harmony Search. GECCO (Companion) 2015: 1449-1450 - [c3]Kelton A. P. da Costa, Luis Alexandre da Silva, Guilherme Brandão Martins, Gustavo H. Rosa, Clayton R. Pereira, João Paulo Papa:
Malware Detection in Android-Based Mobile Environments Using Optimum-Path Forest. ICMLA 2015: 754-759 - 2014
- [c2]Gustavo H. Rosa, Kelton A. P. Costa, Leandro A. Passos Junior, João Paulo Papa, Alexandre X. Falcão, João Manuel R. S. Tavares:
On the Training of Artificial Neural Networks with Radial Basis Function Using Optimum-Path Forest Clustering. ICPR 2014: 1472-1477 - 2012
- [c1]Rodrigo Pisani, Paulina Riedel, Kelton A. P. Costa, Rodrigo Nakamura, Clayton R. Pereira, Gustavo H. Rosa, João P. Papa:
Automatic landslide recognition through Optimum-Path Forest. IGARSS 2012: 6228-6231
Coauthor Index
João Paulo Papa
aka: João P. Papa
aka: João P. Papa
[j19] [j18] [c21] [i16] [j17] [j15] [j14] [c20] [i15] [i13] [i11] [i10] [i9] [j13] [j12] [j11] [c19] [c18] [c17] [c16] [c15] [i8] [i7] [i6] [i5] [j10] [c14] [c13] [c12] [p3] [p2] [d4] [d3] [d2] [i4] [i3] [j9] [j8] [j7] [d1] [i2] [j6] [j5] [j4] [c11] [c10] [j3] [j2] [c9] [c8] [i1] [c7] [c6] [p1] [j1] [c5] [c4] [c3] [c2] [c1]
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last updated on 2024-12-10 21:41 CET by the dblp team
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