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 (IGARSS, 2012)

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 (ICPR, 2014)

Fine-Tuning Convolutional Neural Networks Using Harmony Search. - Gustavo H. Rosa; João Paulo Papa; Aparecido Nilceu Marana; Walter J. Scheirer; David D. Cox (CIARP, 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 (GECCO (Companion), 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 (ICMLA, 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)

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 001 (ANNPR, 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 (SIBGRAPI, 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 001 (Machine Learning for Health Informatics, 2016)

Quaternionic Flower Pollination Algorithm. - Gustavo H. Rosa; Luis Claudio Sugi Afonso; Alexandro Baldassin; João P. Papa; Xin-She Yang 001 (CAIP (2), 2017)

Feature selection using geometric semantic genetic programming. - Gustavo H. Rosa; João Paulo Papa; Luciene P. Papa (GECCO (Companion), 2017)

Quaternion-based Deep Belief Networks fine-tuning. - João Paulo Papa; Gustavo H. Rosa; Danillo Roberto Pereira; Xin-She Yang 001 (Appl. Soft Comput., 2017)

LibOPT: An Open-Source Platform for Fast Prototyping Soft Optimization Techniques. - João Paulo Papa; Gustavo Henrique Rosa; Douglas Rodrigues; Xin-She Yang 001 (CoRR, 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)

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 (IGARSS, 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 (IJCNN, 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)

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)

Handling dropout probability estimation in convolution neural networks using meta-heuristics. - Gustavo H. Rosa; João P. Papa; Xin-She Yang 001 (Soft Comput., 2018)

Opytimizer: A Nature-Inspired Python Optimizer. - Gustavo Henrique de Rosa; João P. Papa (CoRR, 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)

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)

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)

Opytimizer: A Nature-Inspired Python Optimizer. - Gustavo Henrique de Rosa; Douglas Rodrigues; João Paulo Papa (Zenodo, 2019)

Fine-Tuning Temperatures in Restricted Boltzmann Machines Using Meta-Heuristic Optimization. - Mateus Roder; Gustavo Henrique de Rosa; João Paulo Papa; Fabricio Aparecido Breve (CEC, 2020)

Harnessing Particle Swarm optimization Through Relativistic Velocity. - Mateus Roder; Gustavo Henrique de Rosa; Leandro Aparecido Passos; João Paulo Papa; André Luis Debiaso Rossi (CEC, 2020)

Creating Classifier Ensembles through Meta-heuristic Algorithms for Aerial Scene Classification. - Álvaro R. Ferreira; Gustavo Henrique de Rosa; João P. Papa; Gustavo Carneiro 001; Fábio Augusto Faria (ICPR, 2020)

A nature-inspired feature selection approach based on hypercomplex information. - Gustavo Henrique de Rosa; João P. Papa; Xin-She Yang 001 (Appl. Soft Comput., 2020)

OPFython: A Python-Inspired Optimum-Path Forest Classifier. - Gustavo Henrique de Rosa; João Paulo Papa; Alexandre Xavier Falcão (CoRR, 2020)

Learnergy: Energy-based Machine Learners. - Mateus Roder; Gustavo Henrique de Rosa; João Paulo Papa (CoRR, 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 (Deep Neural Evolution, 2020)

Adaptive Improved Flower Pollination Algorithm for Global Optimization. - Douglas Rodrigues; Gustavo Henrique de Rosa; Leandro Aparecido Passos; João Paulo Papa (Nature-Inspired Computation in Data Mining and Machine Learning, 2020)

Learnergy: Energy-based Machine Learners. - Mateus Roder; Gustavo Henrique de Rosa; João Paulo Papa (Zenodo, 2020)

OPFython: A Python-Inspired Optimum-Path Forest Classifier. - Gustavo Henrique de Rosa; João Paulo Papa; Alexandre Xavier Falcão (Zenodo, 2020)

Opytimizer: A Nature-Inspired Python Optimizer. - Gustavo Henrique de Rosa; Douglas Rodrigues; João Paulo Papa (Zenodo, 2020)

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 (CIARP, 2021)

Fine-Tuning Dropout Regularization in Energy-Based Deep Learning. - Gustavo Henrique de Rosa; Mateus Roder; João P. Papa (CIARP, 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 (SIBGRAPI, 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 (SSCI, 2021)

Improving Pre- Trained Weights through Meta - Heuristics Fine- Tuning. - Gustavo Henrique de Rosa; Mateus Roder; João Paulo Papa; Claudio Filipi Goncalves dos Santos (SSCI, 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)

Fast Ensemble Learning Using Adversarially-Generated Restricted Boltzmann Machines. - Gustavo Henrique de Rosa; Mateus Roder; João P. Papa (CoRR, 2021)

Speeding Up OPFython with Numba. - Gustavo Henrique de Rosa; João Paulo Papa (CoRR, 2021)

A survey on text generation using generative adversarial networks. - Gustavo Henrique de Rosa; João P. Papa (Pattern Recognit., 2021)

OPFython: A Python implementation for Optimum-Path Forest. - Gustavo Henrique de Rosa; João P. Papa (Softw. Impacts, 2021)

Deep Learning-Based Abstractive Summarization for Brazilian Portuguese Texts. - Pedro H. Paiola; Gustavo H. de Rosa; João P. Papa (BRACIS (2), 2022)

Comparative Study Between Distance Measures On Supervised Optimum-Path Forest Classification. - Gustavo Henrique de Rosa; Mateus Roder; João Paulo Papa (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)

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)

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)

Optimum-path forest stacking-based ensemble for intrusion detection. - Mateus A. Bertoni; Gustavo H. de Rosa; José Remo Ferreira Brega (Evol. 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)

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)

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 (SustaiNLP, 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 (VISIGRAPP (4: VISAPP), 2023)

A comprehensive study among distance measures on supervised optimum-path forest classification. - Gustavo H. de Rosa; Mateus Roder; Leandro A. Passos; João Paulo Papa (Appl. Soft Comput., 2024)

Robust deep learning for eye fundus images: Bridging real and synthetic data for enhancing generalization. - Guilherme C. Oliveira; Gustavo H. Rosa; Daniel C. G. Pedronette; João P. Papa; Himeesh Kumar; Leandro A. Passos; Dinesh Kant Kumar (Biomed. Signal Process. Control., 2024)