Design of robust pattern classifiers based on optimum-path forests. - João P. Papa; Alexandre X. Falcão; Paulo A. V. Miranda; Celso T. N. Suzuki; Nelson D. A. Mascarenhas (ISMM (1), 2007)

Rotation-Invariant Texture Recognition. - Javier A. Montoya-Zegarra; João P. Papa; Neucimar Jerônimo Leite; Ricardo da Silva Torres; Alexandre X. Falcão (ISVC (2), 2007)

A New Variant of the Optimum-Path Forest Classifier. - João P. Papa; Alexandre X. Falcão (ISVC (1), 2008)

A Discrete Approach for Supervised Pattern Recognition. - João P. Papa; Alexandre X. Falcão; Celso T. N. Suzuki; Nelson D. A. Mascarenhas (IWCIA, 2008)

Denoising swallowing sound to improve the evaluator's qualitative analysis. - André Augusto Spadotto; João Paulo Papa; Ana Rita Gatto; Paula Cristina Cola; Jose Carlos Pereira; Rodrigo Capobianco Guido; Arthur Oscar Schelp; Carlos Dias Maciel; Arlindo Neto Montagnoli (Comput. Electr. Eng., 2008)

Learning How to Extract Rotation-Invariant and Scale-Invariant Features from Texture Images. - Javier A. Montoya-Zegarra; João Paulo Papa; Neucimar Jerônimo Leite; Ricardo da Silva Torres; Alexandre X. Falcão (EURASIP J. Adv. Signal Process., 2008)

Satellite-Based Rainfall Estimation through Semi-supervised Learning. - Greice Martins de Freitas; Ana Maria Heuminski de Ávila; João Paulo Papa (CSIE (6), 2009)

A Learning Algorithm for the Optimum-Path Forest Classifier. - João P. Papa; Alexandre X. Falcão (GbRPR, 2009)

Fast and accurate holistic face recognition using Optimum-Path Forest. - João P. Papa; Alexandre X. Falcão; Alexandre L. M. Levada; Débora C. Corrêa; Denis H. P. Salvadeo; Nelson D. A. Mascarenhas (DPS, 2009)

On the Training Patterns Pruning for Optimum-Path Forest. - João P. Papa; Alexandre X. Falcão (ICIAP, 2009)

Novel Approaches for Exclusive and Continuous Fingerprint Classification. - Javier A. Montoya-Zegarra; João P. Papa; Neucimar Jerônimo Leite; Ricardo da Silva Torres; Alexandre X. Falcão (PSIVT, 2009)

Supervised pattern classification based on optimum-path forest. - João P. Papa; Alexandre X. Falcão; Celso T. N. Suzuki (Int. J. Imaging Syst. Technol., 2009)

A genetic programming framework for content-based image retrieval. - Ricardo da Silva Torres; Alexandre X. Falcão; Marcos André Gonçalves; João P. Papa; Baoping Zhang; Weiguo Fan; Edward A. Fox (Pattern Recognit., 2009)

Improving the Accuracy of the Optimum-Path Forest Supervised Classifier for Large Datasets. - César Castelo-Fernández; Pedro J. de Rezende; Alexandre X. Falcão; João Paulo Papa (CIARP, 2010)

Fast Automatic Microstructural Segmentation of Ferrous Alloy Samples Using Optimum-Path Forest. - João Paulo Papa; Victor Hugo C. de Albuquerque; Alexandre X. Falcão; João Manuel R. S. Tavares (CompIMAGE, 2010)

Robust and fast Vowel Recognition Using Optimum-Path Forest. - João Paulo Papa; Aparecido Nilceu Marana; André Augusto Spadotto; Rodrigo Capobianco Guido; Alexandre X. Falcão (ICASSP, 2010)

Optimizing Optimum-Path Forest Classification for Huge Datasets. - João P. Papa; Fabio A. M. Cappabianco; Alexandre X. Falcão (ICPR, 2010)

How Far You Can Get Using Machine Learning Black-Boxes. - Anderson Rocha 001; João Paulo Papa; Luis A. A. Meira (SIBGRAPI, 2010)

Spoken emotion recognition through optimum-path forest classification using glottal features. - Alexander I. Iliev; Michael S. Scordilis; João P. Papa; Alexandre X. Falcão (Comput. Speech Lang., 2010)

Fast Petroleum Well Drilling Monitoring Through Optimum-Path Forest. - Ivan Rizzo Guilherme; Aparecido Nilceu Marana; João P. Papa; Giovani Chiachia; Alexandre X. Falcão; Kazuo Miura; Marcus V. D. Ferreira; Francisco Torres (J. Next Gener. Inf. Technol., 2010)

Robust Pruning of Training Patterns for Optimum-Path Forest Classification Applied to Satellite-Based Rainfall Occurrence Estimation. - João Paulo Papa; Alexandre Xavier Falcão; Greice Martins de Freitas; Ana Maria Heuminski de Ávila (IEEE Geosci. Remote. Sens. Lett., 2010)

Projections Onto Convex Sets through Particle Swarm Optimization and its application for remote sensing image restoration. - João P. Papa; Leila Maria Garcia Fonseca; Lino Augusto Sander de Carvalho (Pattern Recognit. Lett., 2010)

A Markov Random Field Model for Combining Optimum-Path Forest Classifiers Using Decision Graphs and Game Strategy Approach. - Moacir P. Ponti Jr.; João Paulo Papa; Alexandre L. M. Levada (CIARP, 2011)

Automatic classification of fish germ cells through optimum-path forest. - João P. Papa; Mario E. M. Gutierrez; Rodrigo Y. M. Nakamura; Luciene P. Papa; Irene B. F. Vicentini; Carlos A. Vicentini (EMBC, 2011)

Improving Parkinson's disease identification through evolutionary-based feature selection. - André Augusto Spadoto; Rodrigo Capobianco Guido; Felipe L. Carnevali; Andre F. Pagnin; Alexandre X. Falcão; João P. Papa (EMBC, 2011)

Feature selection through gravitational search algorithm. - João Paulo Papa; Andre Pagnin; Silvana Artioli Schellini; André Augusto Spadotto; Rodrigo Capobianco Guido; Moacir P. Ponti Jr.; Giovani Chiachia; Alexandre X. Falcão (ICASSP, 2011)

A Graph-Based Framework for Thermal Faceprint Characterization. - Daniel Osaku; Aparecido Nilceu Marana; João Paulo Papa (ICIAP (1), 2011)

Image categorization through optimum path forest and visual words. - João Paulo Papa; Anderson Rocha 001 (ICIP, 2011)

Land use image classification through Optimum-Path Forest Clustering. - Rodrigo Pisani; Paulina Riedel; Mateus Ferreira; Mara Marques; Rodrigo Mizobe; João P. Papa (IGARSS, 2011)

Is it possible to make pixel-based radar image classification user-friendly? - Rodrigo Pisani; Paulina Riedel; Alessandra Rodrigues Gomes; Rodrigo Yuji Mizobe; João P. Papa (IGARSS, 2011)

What is the importance of selecting features for non-technical losses identification? - Caio C. O. Ramos; João Paulo Papa; André N. de Souza; Giovani Chiachia; Alexandre X. Falcão (ISCAS, 2011)

New Trends in Musical Genre Classification Using Optimum-Path Forest. - Caio Miguel Marques; Ivan Rizzo Guilherme; Rodrigo Y. M. Nakamura; João P. Papa (ISMIR, 2011)

Precipitates Segmentation from Scanning Electron Microscope Images through Machine Learning Techniques. - João P. Papa; Clayton R. Pereira; Victor Hugo C. de Albuquerque; Cleiton C. Silva; Alexandre X. Falcão; João Manuel R. S. Tavares (IWCIA, 2011)

Intrusion detection system using Optimum-Path Forest. - Clayton R. Pereira; Rodrigo Nakamura; João Paulo Papa; Kelton A. P. Costa (LCN, 2011)

Improving Accuracy and Speed of Optimum-Path Forest Classifier Using Combination of Disjoint Training Subsets. - Moacir P. Ponti Jr.; João P. Papa (MCS, 2011)

Optimum-Path Forest Pruning Parameter Estimation through Harmony Search. - Rodrigo Nakamura; Clayton R. Pereira; João Paulo Papa; Alexandre X. Falcão (SIBGRAPI, 2011)

A novel algorithm for feature selection using Harmony Search and its application for non-technical losses detection. - Caio C. O. Ramos; André N. de Souza; Giovani Chiachia; Alexandre X. Falcão; João P. Papa (Comput. Electr. Eng., 2011)

Petroleum well drilling monitoring through cutting image analysis and artificial intelligence techniques. - Ivan Rizzo Guilherme; Aparecido Nilceu Marana; João Paulo Papa; Giovani Chiachia; Luis Claudio Sugi Afonso; Kazuo Miura; Marcus V. D. Ferreira; Francisco Torres (Eng. Appl. Artif. Intell., 2011)

Boosting Optimum-Path Forest clustering through harmony Search and its applications for intrusion detection in computer networks. - Kelton A. P. Costa; Clayton R. Pereira; Rodrigo Nakamura; Luís A. M. Pereira; João Paulo Papa (CASoN, 2012)

Optimum-Path Forest Classifier for Large Scale Biometric Applications. - Luis Claudio Sugi Afonso; João P. Papa; Aparecido Nilceu Marana; Ahmad Poursaberi; Svetlana N. Yanushkevich; Marina L. Gavrilova (EST, 2012)

Automatic visual dictionary generation through Optimum-Path Forest clustering. - Luis Claudio Sugi Afonso; João Paulo Papa; Luciene P. Papa; Aparecido Nilceu Marana; Anderson Rocha 001 (ICIP, 2012)

Speeding up optimum-path forest training by path-cost propagation. - Adriana S. Iwashita; João P. Papa; Alexandre X. Falcão; Roberto A. Lotufo; Victor M. de Araujo Oliveira; Victor Hugo C. de Albuquerque; João Manuel R. S. Tavares (ICPR, 2012)

Hyperspectral band selection through Optimum-Path Forest and evolutionary-based algorithms. - Rodrigo Nakamura; João Paulo Papa; Leila M. G. Fonseca; Jefersson Alex dos Santos; Ricardo da Silva Torres (IGARSS, 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 (IGARSS, 2012)

A fast large scale iris database classification with Optimum-Path Forest technique: A case study. - Luis Claudio Sugi Afonso; João P. Papa; Aparecido Nilceu Marana; Ahmad Poursaberi; Svetlana N. Yanushkevich (IJCNN, 2012)

Intrusion detection in computer networks using Optimum-Path Forest clustering. - Kelton A. P. Costa; Clayton R. Pereira; Rodrigo Nakamura; João Paulo Papa (LCN, 2012)

Improving Image Classification through Descriptor Combination. - Alex F. Mansano; J. A. Matsuoka; Luis Claudio Sugi Afonso; João P. Papa; Fábio Augusto Faria; Ricardo da Silva Torres (SIBGRAPI, 2012)

BBA: A Binary Bat Algorithm for Feature Selection. - Rodrigo Y. M. Nakamura; Luís A. M. Pereira; Kelton A. P. Costa; Douglas Rodrigues; João P. Papa; Xin-She Yang 001 (SIBGRAPI, 2012)

Efficient Fault Location in Underground Distribution Systems through Optimum-Path Forest. - André N. de Souza; Pedro da Costa Jr.; Paulo S. da Silva; Caio C. O. Ramos; João P. Papa (Appl. Artif. Intell., 2012)

IFTrace: Video segmentation of deformable objects using the Image Foresting Transform. - Rodrigo Minetto; Thiago Vallin Spina; Alexandre X. Falcão; Neucimar Jerônimo Leite; João Paulo Papa; Jorge Stolfi (Comput. Vis. Image Underst., 2012)

An Optimum-Path Forest framework for intrusion detection in computer networks. - Clayton R. Pereira; Rodrigo Y. M. Nakamura; Kelton A. P. Costa; João P. Papa (Eng. Appl. Artif. Intell., 2012)

How Far do We Get Using Machine Learning Black-Boxes? - Anderson Rocha 001; João Paulo Papa; Luis A. A. Meira (Int. J. Pattern Recognit. Artif. Intell., 2012)

Efficient supervised optimum-path forest classification for large datasets. - João P. Papa; Alexandre X. Falcão; Victor Hugo C. de Albuquerque; João Manuel R. S. Tavares (Pattern Recognit., 2012)

Optimizing Contextual-Based Optimum-Forest Classification through Swarm Intelligence. - Daniel Osaku; Rodrigo Nakamura; João Paulo Papa; Alexandre L. M. Levada; Fabio A. M. Cappabianco; Alexandre X. Falcão (ACIVS, 2013)

OPF-MRF: Optimum-Path Forest and Markov Random Fields for Contextual-Based Image Classification. - Rodrigo Nakamura; Daniel Osaku; Alexandre L. M. Levada; Fabio Augusto Cappabianco; Alexandre X. Falcão; João Paulo Papa (CAIP (2), 2013)

Optimizing Feature Selection through Binary Charged System Search. - Douglas Rodrigues; Luís A. M. Pereira; João P. Papa; Caio C. O. Ramos; André N. de Souza; Luciene P. Papa (CAIP (1), 2013)

Harmony search applied for support vector machines training optimization. - Luís A. M. Pereira; João Paulo Papa; André N. de Souza (EUROCON, 2013)

Automated diagnosis of human intestinal parasites using optical microscopy images. - Celso T. N. Suzuki; Jancarlo F. Gomes; Alexandre X. Falcão; Sumie Hoshino-Shimizu; João Paulo Papa (ISBI, 2013)

A hybrid image restoration algorithm based on Projections Onto Convex Sets and Harmony Search. - Rafael Goncalves Pires; Luís A. M. Pereira; Alex F. Mansano; João P. Papa (ISCAS, 2013)

BCS: A Binary Cuckoo Search algorithm for feature selection. - Douglas Rodrigues; Luís A. M. Pereira; T. N. S. Almeida; João Paulo Papa; André N. de Souza; Caio C. O. Ramos; Xin-She Yang 001 (ISCAS, 2013)

A Multiple Labeling-Based Optimum-Path Forest for Video Content Classification. - Luís A. M. Pereira; João Paulo Papa; Jurandy Almeida; Ricardo da Silva Torres; Willian Paraguassu Amorim (SIBGRAPI, 2013)

ECG arrhythmia classification based on optimum-path forest. - Eduardo José da S. Luz; Thiago M. Nunes; Victor Hugo C. de Albuquerque; João P. Papa; David Menotti (Expert Syst. Appl., 2013)

Automatic microstructural characterization and classification using artificial intelligence techniques on ultrasound signals. - Thiago M. Nunes; Victor Hugo C. de Albuquerque; João P. Papa; Cleiton C. Silva; Paulo G. Normando; Elineudo P. de Moura; João Manuel R. S. Tavares (Expert Syst. Appl., 2013)

Computer techniques towards the automatic characterization of graphite particles in metallographic images of industrial materials. - João P. Papa; Rodrigo Y. M. Nakamura; Victor Hugo C. de Albuquerque; Alexandre X. Falcão; João Manuel R. S. Tavares (Expert Syst. Appl., 2013)

Automatic Segmentation and Classification of Human Intestinal Parasites From Microscopy Images. - Celso T. N. Suzuki; Jancarlo F. Gomes; Alexandre X. Falcão; João P. Papa; Sumie Hoshino-Shimizu (IEEE Trans. Biomed. Eng., 2013)

Social-Spider Optimization-Based Artificial Neural Networks Training and Its Applications for Parkinson's Disease Identification. - Luís A. M. Pereira; Douglas Rodrigues; Patricia B. Ribeiro; João Paulo Papa; Silke A. T. Weber (CBMS, 2014)

Optimum-Path Forest Applied for Breast Masses Classification. - Patricia B. Ribeiro; Kelton A. P. da Costa; João Paulo Papa; Roseli A. Francelin Romero (CBMS, 2014)

Static Video Summarization through Optimum-Path Forest Clustering. - Guilherme Brandão Martins; Luis Claudio Sugi Afonso; Daniel Osaku; Jurandy Almeida; João P. Papa (CIARP, 2014)

On the Influence of Markovian Models for Contextual-Based Optimum-Path Forest Classification. - Daniel Osaku; Alexandre L. M. Levada; João P. Papa (CIARP, 2014)

3D Network Traffic Monitoring Based on an Automatic Attack Classifier. - Diego Roberto Colombo Dias; José Remo Ferreira Brega; Luis Carlos Trevelin; Bruno Barberi Gnecco; João Paulo Papa; Marcelo de Paiva Guimarães (ICCSA (2), 2014)

A Binary Krill Herd Approach for Feature Selection. - Douglas Rodrigues; Luís A. M. Pereira; João Paulo Papa; Silke A. T. Weber (ICPR, 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 (ICPR, 2014)

Learning Kernels for Support Vector Machines with Polynomial Powers of Sigmoid. - Silas Evandro Nachif Fernandes; André Luiz Pilastri; Luís A. M. Pereira; Rafael Goncalves Pires; João Paulo Papa (SIBGRAPI, 2014)

Evolutionary Optimization Applied for Fine-Tuning Parameter Estimation in Optical Flow-Based Environments. - Danillo Roberto Pereira; José Delpiano; João Paulo Papa (SIBGRAPI, 2014)

A social-spider optimization approach for support vector machines parameters tuning. - Danillo Roberto Pereira; Mario A. Pazoti; Luís A. M. Pereira; João Paulo Papa (SIS, 2014)

Training Optimum-Path Forest on Graphics Processing Units. - Adriana S. Iwashita; Marcos V. T. Romero; Alexandro Baldassin; Kelton A. P. Costa; João P. Papa (VISAPP (2), 2014)

Fast Optimum-Path Forest Classification on Graphics Processors. - Marcos V. T. Romero; Adriana S. Iwashita; Luciene P. Papa; André N. de Souza; João P. Papa (VISAPP (2), 2014)

A wrapper approach for feature selection based on Bat Algorithm and Optimum-Path Forest. - Douglas Rodrigues; Luís A. M. Pereira; Rodrigo Y. M. Nakamura; Kelton A. P. Costa; Xin-She Yang 001; André N. de Souza; João Paulo Papa (Expert Syst. Appl., 2014)

EEG signal classification for epilepsy diagnosis via optimum path forest - A systematic assessment. - Thiago M. Nunes; André L. V. Coelho; Clodoaldo Ap. M. Lima; João P. Papa; Victor Hugo C. de Albuquerque (Neurocomputing, 2014)

A path- and label-cost propagation approach to speedup the training of the optimum-path forest classifier. - Adriana S. Iwashita; João Paulo Papa; André N. de Souza; Alexandre X. Falcão; Roberto A. Lotufo; V. M. Oliveira; Victor Hugo C. de Albuquerque; João Manuel R. S. Tavares (Pattern Recognit. Lett., 2014)

Nature-Inspired Framework for Hyperspectral Band Selection. - Rodrigo Y. M. Nakamura; Leila Maria Garcia Fonseca; Jefersson Alex dos Santos; Ricardo da Silva Torres; Xin-She Yang 001; João P. Papa (IEEE Trans. Geosci. Remote. Sens., 2014)

Toward Satellite-Based Land Cover Classification Through Optimum-Path Forest. - Rodrigo Jose Pisani; Rodrigo Yuji Mizobe Nakamura; Paulina Setti Riedel; Célia Regina Lopes Zimback; Alexandre Xavier Falcão; João Paulo Papa (IEEE Trans. Geosci. Remote. Sens., 2014)

A Step Towards the Automated Diagnosis of Parkinson's Disease: Analyzing Handwriting Movements. - Clayton R. Pereira; Danillo Roberto Pereira; Francisco A. da Silva; Christian Hook; Silke A. T. Weber; Luís A. M. Pereira; João Paulo Papa (CBMS, 2015)

Unsupervised Breast Masses Classification through Optimum-Path Forest. - Patricia B. Ribeiro; Leandro A. Passos Junior; Luis Alexandre da Silva; Kelton A. P. da Costa; João P. Papa; Roseli A. F. Romero (CBMS, 2015)

Improving Optimum-Path Forest Classification Using Confidence Measures. - Silas Evandro Nachif Fernandes; Walter J. Scheirer; David D. Cox; João Paulo Papa (CIARP, 2015)

Supervised Video Genre Classification Using Optimum-Path Forest. - Guilherme Brandão Martins; Jurandy Almeida; João Paulo Papa (CIARP, 2015)

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)

SMS Spam Filtering Through Optimum-Path Forest-Based Classifiers. - Dheny Fernandes; Kelton A. P. da Costa; Tiago A. Almeida 001; João Paulo Papa (ICMLA, 2015)

Unsupervised land-cover classification through hyper-heuristic-based Harmony Search. - João Paulo Papa; Luciene P. Papa; Rodrigo Pisani; Danillo Roberto Pereira (IGARSS, 2015)

Land-cover classification through sequential learning-based optimum-path forest. - Danillo Roberto Pereira; Rodrigo Pisani; Rodrigo Nakamura; João Paulo Papa (IGARSS, 2015)

Black Hole Algorithm for non-technical losses characterization. - Douglas Rodrigues; Caio Cesar Oba Ramos; André Nunes de Souza; João Paulo Papa (LASCAS, 2015)

On the optical flow model selection through metaheuristics. - Danillo Roberto Pereira; José Delpiano; João Paulo Papa (EURASIP J. Image Video Process., 2015)

A nature-inspired approach to speed up optimum-path forest clustering and its application to intrusion detection in computer networks. - Kelton A. P. Costa; Luís A. M. Pereira; Rodrigo Y. M. Nakamura; Clayton R. Pereira; João P. Papa; Alexandre Xavier Falcão (Inf. Sci., 2015)

Improving land cover classification through contextual-based optimum-path forest. - Daniel Osaku; Rodrigo Y. M. Nakamura; Luís A. M. Pereira; Rodrigo Jose Pisani; Alexandre L. M. Levada; Fabio A. M. Cappabianco; Alexandre X. Falcão; João Paulo Papa (Inf. Sci., 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)

Ultrasonic Sensor Signals and Optimum Path Forest Classifier for the Microstructural Characterization of Thermally-Aged Inconel 625 Alloy. - Victor Hugo C. de Albuquerque; Cleisson V. Barbosa; Cleiton C. Silva; Elineudo P. de Moura; Pedro Pedrosa Rebouças Filho; João P. Papa; João Manuel R. S. Tavares (Sensors, 2015)

Binary Flower Pollination Algorithm and Its Application to Feature Selection. - Douglas Rodrigues; Xin-She Yang 001; André Nunes de Souza; João Paulo Papa (Recent Advances in Swarm Intelligence and Evolutionary Computation, 2015)

Recent Advances on optimum-Path Forest for Data Classification: Supervised, Semi-Supervised, and Unsupervised Learning. - João Paulo Papa; Willian Paraguassu Amorim; Alexandre Xavier Falcão; João Manuel R. S. Tavares (Handbook of Pattern Recognition and Computer Vision, 2016)

On the Evaluation of Tensor-Based Representations for Optimum-Path Forest Classification. - Ricardo R. Lopes; Kelton A. P. Costa; João P. Papa (ANNPR, 2016)

On the Harmony Search Using Quaternions. - João P. Papa; Danillo Roberto Pereira; Alexandro Baldassin; Xin-She Yang 001 (ANNPR, 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 001 (ANNPR, 2016)

A New Parallel Training Algorithm for Optimum-Path Forest-Based Learning. - Aldo Culquicondor; César Castelo-Fernández; João Paulo Papa (CIARP, 2016)

A block-based Markov random field model estimation for contextual classification using Optimum-Path Forest. - Daniel Osaku; Alexandre L. M. Levada; João Paulo Papa (ISCAS, 2016)

Learning to Classify Seismic Images with Deep Optimum-Path Forest. - Luis Claudio Sugi Afonso; Alexandre Campane Vidal; Michelle Kuroda; Alexandre Xavier Falcão; João Paulo Papa (SIBGRAPI, 2016)

Temporal-and Spatial-Driven Video Summarization Using Optimum-Path Forest. - Guilherme Brandão Martins; João Paulo Papa; Jurandy Almeida (SIBGRAPI, 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)

Fine-tuning Deep Belief Networks using Harmony Search. - João Paulo Papa; Walter J. Scheirer; David Daniel Cox (Appl. Soft Comput., 2016)

Social-Spider Optimization-based Support Vector Machines applied for energy theft detection. - Danillo Roberto Pereira; Mario A. Pazoti; Luís A. M. Pereira; Douglas Rodrigues; Caio C. O. Ramos; André N. de Souza; João P. Papa (Comput. Electr. Eng., 2016)

Recent Advances in Brain Signal Analysis: Methods and Applications. - Victor Hugo C. de Albuquerque; Plácido Rogério Pinheiro; João Paulo Papa; João Manuel R. S. Tavares; Ronaldo Parente de Menezes; Carlos A. S. Oliveira (Comput. Intell. Neurosci., 2016)

Computational methods for the image segmentation of pigmented skin lesions: A review. - Roberta B. Oliveira; Mercedes E. Filho; Zhen Ma; João P. Papa; Aledir Silveira Pereira; João Manuel R. S. Tavares (Comput. Methods Programs Biomed., 2016)

A new computer vision-based approach to aid the diagnosis of Parkinson's disease. - Clayton R. Pereira; Danillo Roberto Pereira; Francisco A. da Silva; João P. Masieiro; Silke A. T. Weber; Christian Hook; João P. Papa (Comput. Methods Programs Biomed., 2016)

A Probabilistic Optimum-Path Forest Classifier for Binary Classification Problems. - Silas Evandro Nachif Fernandes; Danillo Roberto Pereira; Caio C. O. Ramos; André N. de Souza; João Paulo Papa (CoRR, 2016)

EEG-based person identification through Binary Flower Pollination Algorithm. - Douglas Rodrigues; Gabriel F. A. Silva; João P. Papa; Aparecido Nilceu Marana; Xin-She Yang 001 (Expert Syst. Appl., 2016)

Fine-Tuning Contextual-Based Optimum-Path Forest for Land-Cover Classification. - Daniel Osaku; Danillo Roberto Pereira; Alexandre L. M. Levada; João Paulo Papa (IEEE Geosci. Remote. Sens. Lett., 2016)

Projections onto convex sets parameter estimation through harmony search and its application for image restoration. - Rafael Goncalves Pires; Danillo Roberto Pereira; Luís A. M. Pereira; Alex F. Mansano; João P. Papa (Nat. Comput., 2016)

Improving semi-supervised learning through optimum connectivity. - Willian Paraguassu Amorim; Alexandre X. Falcão; João P. Papa; Marcelo Henriques de Carvalho (Pattern Recognit., 2016)

A new approach to contextual learning using interval arithmetic and its applications for land-use classification. - Danillo Roberto Pereira; João Paulo Papa (Pattern Recognit. Lett., 2016)

A Hyperheuristic Approach for Unsupervised Land-Cover Classification. - João Paulo Papa; Luciene P. Papa; Danillo Roberto Pereira; Rodrigo Jose Pisani (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 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)

Barrett's Esophagus Analysis Using SURF Features. - Luis Souza 001; Christian Hook; João Paulo Papa; Christoph Palm (Bildverarbeitung für die Medizin, 2017)

Deep Boltzmann Machines Using Adaptive Temperatures. - Leandro A. Passos Junior; Kelton A. P. Costa; João P. Papa (CAIP (1), 2017)

Parkinson's Disease Identification Using Restricted Boltzmann Machines. - Clayton R. Pereira; Leandro A. Passos; Ricardo R. Lopes; Silke A. T. Weber; Christian Hook; João Paulo Papa (CAIP (2), 2017)

Blur Parameter Identification Through Optimum-Path Forest. - Rafael Goncalves Pires; Silas Evandro Nachif Fernandes; João Paulo Papa (CAIP (2), 2017)

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

A Kernel-Based Optimum-Path Forest Classifier. - Luis Claudio Sugi Afonso; Danillo Roberto Pereira; João P. Papa (CIARP, 2017)

A Deep Boltzmann Machine-Based Approach for Robust Image Denoising. - Rafael Goncalves Pires; Daniel F. S. Santos; Gustavo Botelho de Souza; Aparecido Nilceu Marana; Alexandre L. M. Levada; João Paulo Papa (CIARP, 2017)

Efficient Transfer Learning for Robust Face Spoofing Detection. - Gustavo Botelho de Souza; Daniel F. S. Santos; Rafael Goncalves Pires; Aparecido Nilceu Marana; João P. Papa (CIARP, 2017)

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

Pruning optimum-path forest ensembles using quaternion-based optimization. - Silas Evandro Nachif Fernandes; João Paulo Papa (IJCNN, 2017)

FEMaR: A finite element machine for regression problems. - Danillo Roberto Pereira; João P. Papa; André N. de Souza (IJCNN, 2017)

Deep Boltzmann machines for robust fingerprint spoofing attack detection. - Gustavo Botelho de Souza; Daniel F. S. Santos; Rafael Goncalves Pires; Aparecido Nilceu Marana; João Paulo Papa (IJCNN, 2017)

An ensemble-based approach for breast mass classification in mammography images. - Patricia B. Ribeiro; João P. Papa; Roseli A. F. Romero (Computer-Aided Diagnosis, 2017)

Parkinson's Disease Identification through Deep Optimum-Path Forest Clustering. - Luis Claudio Sugi Afonso; Clayton Reginaldo Pereira; Silke Anna Theresa Weber; Christian Hook; João Paulo Papa (SIBGRAPI, 2017)

Fine-Tuning Infinity Restricted Boltzmann Machines. - Leandro Aparecido Passos; João Paulo Papa (SIBGRAPI, 2017)

A Robust Restricted Boltzmann Machine for Binary Image Denoising. - Rafael Goncalves Pires; Daniel Felipe Silva Santos; Luís A. M. Pereira; Gustavo Botelho de Souza; Alexandre Luis Magalhaes Levada; João Paulo Papa (SIBGRAPI, 2017)

Pruning Optimum-Path Forest Classifiers Using Multi-Objective Optimization. - Douglas Rodrigues; André Nunes de Souza; João Paulo Papa (SIBGRAPI, 2017)

Barrett's Esophagus Identification Using Optimum-Path Forest. - Luis Antônio de Souza; Luis Claudio Sugi Afonso; Christoph Palm; João Paulo Papa (SIBGRAPI, 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)

Introduction to the special section on Image and Video Processing. - Eduardo Cabal-Yepez; Guillermo Botella; Amir Hooshang Mazinan; João Paulo Papa (Comput. Electr. Eng., 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)

Meta-heuristic multi- and many-objective optimization techniques for solution of machine learning problems. - Douglas Rodrigues; João P. Papa; Hojjat Adeli (Expert Syst. J. Knowl. Eng., 2017)

Embedded real-time speed limit sign recognition using image processing and machine learning techniques. - Samuel Luz Gomes; Elizângela de S. Rebouças; Edson Cavalcanti Neto; João P. Papa; Victor Hugo C. de Albuquerque; Pedro Pedrosa Rebouças Filho; João Manuel R. S. Tavares (Neural Comput. Appl., 2017)

Editorial: Special Section on deep image and video understanding. - João Paulo Papa; Ryan Farrell (Pattern Recognit., 2017)

Optimum-Path Forest based on k-connectivity: Theory and applications. - João Paulo Papa; Silas Evandro Nachif Fernandes; Alexandre Xavier Falcão (Pattern Recognit. Lett., 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)

An Ensemble-Based Stacked Sequential Learning Algorithm for Remote Sensing Imagery Classification. - Danillo Roberto Pereira; Rodrigo Jose Pisani; André N. de Souza; João P. Papa (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

Deep Texture Features for Robust Face Spoofing Detection. - Gustavo Botelho de Souza; Daniel Felipe Silva Santos; Rafael Goncalves Pires; Aparecido Nilceu Marana; João Paulo Papa (IEEE Trans. Circuits Syst. II Express Briefs, 2017)

Efficient Width-Extended Convolutional Neural Network for Robust Face Spoofing Detection. - Gustavo Botelho de Souza; Daniel Felipe Silva Santos; Rafael Goncalves Pires; João Paulo Papa; Aparecido Nilceu Marana (BRACIS, 2018)

EEG-based Person Authentication Using Multi-objective Flower Pollination Algorithm. - Zaid Abdi Alkareem Alyasseri; Ahamad Tajudin Khader; Mohammed Azmi Al-Betar; João P. Papa; Osama Ahmad Alomari (CEC, 2018)

Improving Optimum- Path Forest Classification Using Unsupervised Manifold Learning. - Luis Claudio Sugi Afonso; Daniel Carlos Guimarães Pedronette; André N. de Souza; João Paulo Papa (ICPR, 2018)

Land-Use Classification using Finite Element Machines. - Danillo Roberto Pereira; João P. Papa; Luciene P. Papa; Rodrigo Jose Pisani (IGARSS, 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 (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)

Pattern Analysis in Drilling Reports using Optimum-Path Forest. - Gustavo José de Sousa; Daniel Carlos Guimarães Pedronette; Alexandro Baldassin; Pedro Ivo Monteiro Privatto; M. Gaseta; Ivan Rizzo Guilherme; Danilo Colombo; Luis Claudio Sugi Afonso; João P. Papa (IJCNN, 2018)

Enhancing Brain Storm Optimization Through Optimum-Path Forest. - Luis Claudio Sugi Afonso; Leandro A. Passos; João Paulo Papa (SACI, 2018)

Seam Carving Detection Using Convolutional Neural Networks. - Luiz Fernandoda Silva Cieslak; Kelton Augusto Pontara da Costa; João Paulo Papa (SACI, 2018)

Parkinson Disease Identification Using Residual Networks and Optimum-Path Forest. - Leandro A. Passos; Clayton R. Pereira; Edmar R. S. Rezende; Tiago J. Carvalho; Silke A. T. Weber; Christian Hook; João P. Papa (SACI, 2018)

Fine Tuning Deep Boltzmann Machines Through Meta-Heuristic Approaches. - Leandro A. Passos; Douglas Rodrigues; João P. Papa (SACI, 2018)

Unsupervised Dialogue Act Classification with Optimum-Path Forest. - Luiz Carlos Felix Ribeiro; João Paulo Papa (SIBGRAPI, 2018)

Barrett's Esophagus Identification Using Color Co-Occurrence Matrices. - Luis Souza 001; Alanna Ebigbo; Andreas Probst; Helmut Messmann; João Paulo Papa; Robert Mendel; Christoph Palm (SIBGRAPI, 2018)

On the Learning of Deep Local Features for Robust Face Spoofing Detection. - Gustavo Botelho de Souza; João Paulo Papa; Aparecido Nilceu Marana (SIBGRAPI, 2018)

EEG Feature Extraction for Person Identification Using Wavelet Decomposition and Multi-Objective Flower Pollination Algorithm. - Zaid Abdi Alkareem Alyasseri; Ahamad Tajudin Khader; Mohammed Azmi Al-Betar; João Paulo Papa; Osama Ahmad Alomari (IEEE Access, 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)

A survey on Barrett's esophagus analysis using machine learning. - Luis Antônio de Souza; Christoph Palm; Robert Mendel; Christian Hook; Alanna Ebigbo; Andreas Probst; Helmut Messmann; Silke A. T. Weber; João P. Papa (Comput. Biol. Medicine, 2018)

Automatic classification of plant electrophysiological responses to environmental stimuli using machine learning and interval arithmetic. - Danillo Roberto Pereira; João Paulo Papa; Gustavo Francisco Rosalin Saraiva; Gustavo Maia Souza (Comput. Electron. Agric., 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)

1st MICCAI workshop on deep learning in medical image analysis. - Gustavo Carneiro 001; João Manuel R. S. Tavares; Andrew P. Bradley; João Paulo Papa; Jacinto C. Nascimento; Jaime S. Cardoso 001; Zhi Lu; Vasileios Belagiannis (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018)

How far did we get in face spoofing detection? - Luiz Souza; Luciano Oliveira; Mauricio Pamplona 001; João P. Papa (Eng. Appl. Artif. Intell., 2018)

A fast approach for unsupervised karst feature identification using GPU. - Luis Claudio Sugi Afonso; Mateus Basso; Michelle Kuroda; Alexandre Campane Vidal; João P. Papa (Comput. Geosci., 2018)

Multi-label semi-supervised classification through optimum-path forest. - Willian Paraguassu Amorim; Alexandre X. Falcão; João P. Papa (Inf. Sci., 2018)

Robust automated cardiac arrhythmia detection in ECG beat signals. - Victor Hugo C. de Albuquerque; Thiago M. Nunes; Danillo Roberto Pereira; Eduardo José da S. Luz; David Menotti; João P. Papa; João Manuel R. S. Tavares (Neural Comput. Appl., 2018)

Computational methods for pigmented skin lesion classification in images: review and future trends. - Roberta B. Oliveira; João P. Papa; Aledir Silveira Pereira; João Manuel R. S. Tavares (Neural Comput. Appl., 2018)

Temperature-Based Deep Boltzmann Machines. - Leandro Aparecido Passos; João Paulo Papa (Neural Process. Lett., 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)

On the Study of Commercial Losses in Brazil: A Binary Black Hole Algorithm for Theft Characterization. - Caio C. O. Ramos; Douglas Rodrigues; André N. de Souza; João Paulo Papa (IEEE Trans. Smart Grid, 2018)

Quaternion-Based Backtracking Search Optimization Algorithm. - Leandro Aparecido Passos; Douglas Rodrigues; João Paulo Papa (CEC, 2019)

Does Pooling Really Matter? An Evaluation on Gait Recognition. - Claudio Filipi Goncalves dos Santos; Thierry Pinheiro Moreira; Danilo Colombo; João Paulo Papa (CIARP, 2019)

A Sparse Filtering-Based Approach for Non-blind Deep Image Denoising. - Rafael Goncalves Pires; Daniel Felipe Silva Santos; Gustavo Botelho de Souza; Alexandre L. M. Levada; João Paulo Papa (ICANN (Workshop), 2019)

Multiple-Instance Learning through Optimum-Path Forest. - Luis Claudio Sugi Afonso; Danilo Colombo; Clayton R. Pereira; Kelton A. P. Costa; João P. Papa (IJCNN, 2019)

κ-Entropy Based Restricted Boltzmann Machines. - Leandro Aparecido Passos; Marcos Cleison Silva Santana; Thierry Pinheiro Moreira; João Paulo Papa (IJCNN, 2019)

Video Segmentation Learning Using Cascade Residual Convolutional Neural Network. - Daniel F. S. Santos; Rafael Goncalves Pires; Danilo Colombo; João P. Papa (SIBGRAPI, 2019)

An Overview on Concept Drift Learning. - Adriana S. Iwashita; João Paulo Papa (IEEE Access, 2019)

A survey on computer-assisted Parkinson's Disease diagnosis. - Clayton R. Pereira; Danilo R. Pereira; Silke A. T. Weber; Christian Hook; Victor Hugo C. de Albuquerque; João P. Papa (Artif. Intell. Medicine, 2019)

Exudate detection in fundus images using deeply-learnable features. - Parham Khojasteh; Leandro A. Passos Junior; Tiago J. Carvalho; Edmar R. S. Rezende; Behzad Aliahmad; João Paulo Papa; Dinesh Kant Kumar (Comput. Biol. Medicine, 2019)

Bag of Samplings for computer-assisted Parkinson's disease diagnosis based on Recurrent Neural Networks. - Luiz Carlos Felix Ribeiro; Luis Claudio Sugi Afonso; João P. Papa (Comput. Biol. Medicine, 2019)

Semi-supervised learning with convolutional neural networks for UAV images automatic recognition. - Willian Paraguassu Amorim; Everton Castelao Tetila; Hemerson Pistori; João Paulo Papa (Comput. Electron. Agric., 2019)

Editorial. - Gustavo Carneiro 001; João Manuel R. S. Tavares; Andrew P. Bradley; João Paulo Papa; Jacinto C. Nascimento; Jaime S. Cardoso 001; Zhi Lu; Vasileios Belagiannis (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2019)

Internet of Things: A survey on machine learning-based intrusion detection approaches. - Kelton A. P. da Costa; João P. Papa; Celso O. Lisboa; Roberto Muñoz 001; Victor Hugo C. de Albuquerque (Comput. Networks, 2019)

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)

Learning concept drift with ensembles of optimum-path forest-based classifiers. - Adriana S. Iwashita; Victor Hugo C. de Albuquerque; João Paulo 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)

Deep Features Extraction for Robust Fingerprint Spoofing Attack Detection. - Gustavo Botelho de Souza; Daniel Felipe Silva Santos; Rafael Goncalves Pires; Aparecido Nilceu Marana; João Paulo Papa (J. Artif. Intell. Soft Comput. Res., 2019)

Barrett's esophagus analysis using infinity Restricted Boltzmann Machines. - Leandro A. Passos; Luis Antônio de Souza Júnior; Robert Mendel; Alanna Ebigbo; Andreas Probst; Helmut Messmann; Christoph Palm; João Paulo Papa (J. Vis. Commun. Image Represent., 2019)

Automated recognition of lung diseases in CT images based on the optimum-path forest classifier. - Pedro Pedrosa Rebouças Filho; Antônio Carlos da Silva Barros; Geraldo L. B. Ramalho; Clayton R. Pereira; João Paulo Papa; Victor Hugo C. de Albuquerque; João Manuel R. S. Tavares (Neural Comput. Appl., 2019)

Automatic identification of epileptic EEG signals through binary magnetic optimization algorithms. - Luís A. M. Pereira; João P. Papa; André L. V. Coelho; Clodoaldo Ap. M. Lima; Danillo Roberto Pereira; Victor Hugo C. de Albuquerque (Neural Comput. Appl., 2019)

Intelligent Network Security Monitoring Based on Optimum-Path Forest Clustering. - Raniere Rocha Guimarães; Leandro A. Passos; Raimir Holanda Filho; Victor Hugo C. de Albuquerque; Joel J. P. C. Rodrigues; Mikhail M. Komarov; João Paulo Papa (IEEE Netw., 2019)

Improving optimum-path forest learning using bag-of-classifiers and confidence measures. - Silas Evandro Nachif Fernandes; João Paulo Papa (Pattern Anal. Appl., 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)

A Probabilistic Optimum-Path Forest Classifier for Non-Technical Losses Detection. - Silas Evandro Nachif Fernandes; Danillo Roberto Pereira; Caio C. O. Ramos; André N. de Souza; Danilo S. Gastaldello; João P. Papa (IEEE Trans. Smart Grid, 2019)

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

People Identification Based on Soft Biometrics Features Obtained from 2D Poses. - Henrique Leal Tavares; João Baptista Cardia Neto; João Paulo Papa; Danilo Colombo; Aparecido Nilceu Marana (BRACIS, 2020)

O^2PF: Oversampling via Optimum-Path Forest for Breast Cancer Detection. - Leandro A. Passos; Danilo S. Jodas; Luiz Carlos Felix Ribeiro; Thierry Pinheiro Moreira; João Paulo Papa (CBMS, 2020)

BreastNet: Breast Cancer Categorization Using Convolutional Neural Networks. - Claudio Filipi Goncalves dos Santos; Luis Claudio Sugi Afonso; Clayton Reginaldo Pereira; João Paulo Papa (CBMS, 2020)

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)

Semi-supervised Segmentation Based on Error-Correcting Supervision. - Robert Mendel; Luis Antônio de Souza; David Rauber; João Paulo Papa; Christoph Palm (ECCV (29), 2020)

Machine Learning for Web Intrusion Detection: A Comparative Analysis of Feature Selection Methods mRMR and PFI. - Thiago José Lucas; Carlos Alexandre Carvalho Tojeiro; Rafael Goncalves Pires; Kelton Augusto Pontara da Costa; João Paulo Papa (ICAISC (1), 2020)

Intestinal Parasites Classification Using Deep Belief Networks. - Mateus Roder; Leandro A. Passos; Luiz Carlos Felix Ribeiro; Barbara Caroline Benato; Alexandre Xavier Falcão; João Paulo Papa (ICAISC (1), 2020)

A Layer-Wise Information Reinforcement Approach to Improve Learning in Deep Belief Networks. - Mateus Roder; Leandro A. Passos; Luiz Carlos Felix Ribeiro; Clayton R. Pereira; João Paulo Papa (ICAISC (1), 2020)

Evolving Long Short-Term Memory Networks. - Vicente Coelho Lobo Neto; Leandro Aparecido Passos; João Paulo Papa (ICCS (2), 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)

Weakly Supervised Learning through Rank-based Contextual Measures. - João Gabriel Camacho Presotto; Lucas Pascotti Valem; Nikolas Gomes de Sá; Daniel Carlos Guimarães Pedronette; João Paulo Papa (ICPR, 2020)

MaxDropout: Deep Neural Network Regularization Based on Maximum Output Values. - Claudio Filipi Goncalves dos Santos; Danilo Colombo; Mateus Roder; João Paulo Papa (ICPR, 2020)

Information Ranking Using Optimum-Path Forest. - Nathalia Q. Ascenção; Luis C. S. Afonso; Danilo Colombo; Luciano Oliveira; João P. Papa (IJCNN, 2020)

Faster α-expansion via dynamic programming and image partitioning. - Jefferson Fontinele; Marcelo Mendonça; Marco Ruiz; João P. Papa; Luciano Oliveira (IJCNN, 2020)

Image Denoising using Attention-Residual Convolutional Neural Networks. - Rafael Goncalves Pires; Daniel F. S. Santos; Cláudio F. G. Santos; Marcos C. S. Santana; João P. Papa (SIBGRAPI, 2020)

Scene Change Detection Using Multiscale Cascade Residual Convolutional Neural Networks. - Daniel F. S. Santos; Rafael Goncalves Pires; Danilo Colombo; João P. Papa (SIBGRAPI, 2020)

Manifold Learning-based Clustering Approach Applied to Anomaly Detection in Surveillance Videos. - Leonardo Tadeu Lopes; Lucas Pascotti Valem; Daniel Carlos Guimarães Pedronette; Ivan Rizzo Guilherme; João Paulo Papa; Marcos Cleison Silva Santana; Danilo Colombo (VISIGRAPP (5: VISAPP), 2020)

A critical literature survey and prospects on tampering and anomaly detection in image data. - Kelton A. P. da Costa; João P. Papa; Leandro A. Passos; Danilo Colombo; Javier Del Ser; Khan Muhammad 001; Victor Hugo C. de Albuquerque (Appl. Soft Comput., 2020)

A metaheuristic-driven approach to fine-tune Deep Boltzmann Machines. - Leandro Aparecido Passos; João Paulo Papa (Appl. Soft Comput., 2020)

A multi-objective artificial butterfly optimization approach for feature selection. - Douglas Rodrigues; Victor Hugo C. de Albuquerque; João Paulo Papa (Appl. Soft Comput., 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)

Assisting Barrett's esophagus identification using endoscopic data augmentation based on Generative Adversarial Networks. - Luis Antônio de Souza Júnior; Leandro A. Passos; Robert Mendel; Alanna Ebigbo; Andreas Probst; Helmut Messmann; Christoph Palm; João P. Papa (Comput. Biol. Medicine, 2020)

Special issue: 4th MICCAI workshop on deep learning in medical image analysis. - Gustavo Carneiro 001; João Manuel R. S. Tavares; Andrew P. Bradley; João Paulo Papa; Vasileios Belagiannis; Jacinto C. Nascimento; Zhi Lu (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 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)

Deep learning techniques for recommender systems based on collaborative filtering. - Guilherme Brandão Martins; João Paulo Papa; Hojjat Adeli (Expert Syst. J. Knowl. Eng., 2020)

A Novel Siamese-Based Approach for Scene Change Detection With Applications to Obstructed Routes in Hazardous Environments. - Marcos C. S. Santana; Leandro Aparecido Passos Júnior; Thierry Pinheiro Moreira; Danilo Colombo; Victor Hugo C. de Albuquerque; João Paulo Papa (IEEE Intell. Syst., 2020)

An efficient parallel implementation for training supervised optimum-path forest classifiers. - Aldo Culquicondor; Alexandro Baldassin; César Castelo-Fernández; João P. L. de Carvalho; João Paulo Papa (Neurocomputing, 2020)

Hierarchical learning using deep optimum-path forest. - Luis C. S. Afonso; Clayton R. Pereira; Silke A. T. Weber; Christian Hook; Alexandre X. Falcão; João P. Papa (J. Vis. Commun. Image Represent., 2020)

OPFSumm: on the video summarization using Optimum-Path Forest. - Guilherme Brandão Martins; Danillo Roberto Pereira; Jurandy Gomes de Almeida Junior; Victor Hugo C. de Albuquerque; João Paulo Papa (Multim. Tools Appl., 2020)

FEMa: a finite element machine for fast learning. - Danilo R. Pereira; Marco Antonio Piteri; André N. de Souza; João Paulo Papa; Hojjat Adeli (Neural Comput. Appl., 2020)

Regression-based finite element machines for reliability modeling of downhole safety valves. - Danilo Colombo; Gilson Brito Alves Lima; Danillo Roberto Pereira; João P. Papa (Reliab. Eng. Syst. Saf., 2020)

Does Removing Pooling Layers from Convolutional Neural Networks Improve Results? - Claudio Filipi Goncalves dos Santos; Thierry Pinheiro Moreira; Danilo Colombo; João Paulo Papa (SN Comput. Sci., 2020)

A Novel Approach for Optimum-Path Forest Classification Using Fuzzy Logic. - Renato William R. de Souza; João Vitor Chaves de Oliveira; Leandro A. Passos; Weiping Ding 001; João P. Papa; Victor Hugo C. de Albuquerque (IEEE Trans. Fuzzy Syst., 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)

SMS Spam Detection Through Skip-gram Embeddings and Shallow Networks. - Gustavo José de Sousa; Daniel Carlos Guimarães Pedronette; João Paulo Papa; Ivan Rizzo Guilherme (ACL/IJCNLP (Findings), 2021)

Abstract: Semi-supervised Segmentation Based on Error-correcting Supervision. - Robert Mendel; Luis Antônio de Souza Júnior; David Rauber; João Paulo Papa; Christoph Palm (Bildverarbeitung für die Medizin, 2021)

Fine-tuning Generative Adversarial Networks using Metaheuristics - A Case Study on Barrett's Esophagus Identification. - Luis Antônio de Souza; Leandro A. Passos; Robert Mendel; Alanna Ebigbo; Andreas Probst; Helmut Messmann; Christoph Palm; João Paulo Papa (Bildverarbeitung für die Medizin, 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 (CIARP, 2021)

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

Deep Regressor Networks for Blind Image Deblurring. - Rafael Goncalves Pires; Daniel F. S. Santos; Leandro A. Passos; João P. Papa (IGARSS, 2021)

DDIPNet and DDIPNet+: Discriminant Deep Image Prior Networks for Remote Sensing Image Classification. - Daniel F. S. Santos; Rafael Goncalves Pires; Leandro A. Passos; João P. Papa (IGARSS, 2021)

A Deep Learning-based Approach for Tree Trunk Segmentation. - Danilo Samuel Jodas; Sergio Brazolin; Takashi Yojo; Reinaldo Araújo de Lima; Giuliana Del Nero Velasco; Aline Ribeiro Machado; João Paulo Papa (SIBGRAPI, 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)

Improving Transferability of Domain Adaptation Networks Through Domain Alignment Layers. - Lucas Fernando Alvarenga e Silva; Daniel C. G. Pedronette; Fábio Augusto Faria; João P. Papa; Jurandy Almeida (SIBGRAPI, 2021)

Phishing Detection Using URL-based XAI Techniques. - Paulo R. Galego Hernandes; Camila P. Floret; Katia F. Cardozo De Almeida; Vinícius Camargo da Silva; João Paulo Papa; Kelton Augusto Pontara da Costa (SSCI, 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)

Convolutional Neural Networks for the evaluation of cancer in Barrett's esophagus: Explainable AI to lighten up the black-box. - Luis Antônio de Souza Júnior; Robert Mendel; Sophia Strasser; Alanna Ebigbo; Andreas Probst; Helmut Messmann; João P. Papa; Christoph Palm (Comput. Biol. Medicine, 2021)

Predicting on multi-target regression for the yield of sweet potato by the market class of its roots upon vegetation indices. - Danilo Tedesco; Bruno Rafael de Almeida Moreira; Marcelo Rodrigues Barbosa Júnior; João Paulo Papa; Rouverson Pereira da Silva (Comput. Electron. Agric., 2021)

An incremental Optimum-Path Forest classifier and its application to non-technical losses identification. - Adriana S. Iwashita; Douglas Rodrigues; Danilo S. Gastaldello; André Nunes de Souza; João Paulo Papa (Comput. Electr. Eng., 2021)

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

O2PF: Oversampling via Optimum-Path Forest for Breast Cancer Detection. - Leandro Aparecido Passos; Danilo Samuel Jodas; Luiz Carlos Felix Ribeiro; Thierry Pinheiro Moreira; João P. Papa (CoRR, 2021)

Learning Visual Representations with Optimum-Path Forest and its Applications to Barrett's Esophagus and Adenocarcinoma Diagnosis. - Luis Antônio de Souza Júnior; Luis C. S. Afonso; Alanna Ebigbo; Andreas Probst; Helmut Messmann; Robert Mendel; Christoph Palm; 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)

An End-to-End Approach for Seam Carving Detection Using Deep Neural Networks. - Thierry Pinheiro Moreira; Marcos Cleison S. Santana; Leandro A. Passos; João Paulo Papa; Kelton Augusto Pontara da Costa (IbPRIA, 2022)

MaxDropoutV2: An Improved Method to Drop Out Neurons in Convolutional Neural Networks. - Claudio Filipi Goncalves dos Santos; Mateus Roder; Leandro Aparecido Passos; João Paulo Papa (IbPRIA, 2022)

Mixup-Based Deep Metric Learning Approaches for Incomplete Supervision. - Luiz H. Buris; Daniel C. G. Pedronette; João P. Papa; Jurandy Almeida; Gustavo Carneiro 001; Fábio Augusto Faria (ICIP, 2022)

FEMa-FS: Finite Element Machines for Feature Selection. - Lucas Biaggi; João P. Papa; Kelton A. P. Costa; Danillo Roberto Pereira; Leandro A. Passos (ICPR, 2022)

PL-k NN: A Parameterless Nearest Neighbors Classifier. - Danilo Samuel Jodas; Leandro Aparecido Passos; Ahsan Adeel; João Paulo Papa (IWSSIP, 2022)

From Network Package Flow to Images: How to Accurately Detect Anomalies in Computer Networks. - Paulo R. Galego Hernandes Junior; Rafal Scherer; Lucas B. Januario; Douglas Rodrigues; João P. Papa; Kelton A. P. Costa (IWSSIP, 2022)

ComplexWoundDB: A Database for Automatic Complex Wound Tissue Categorization. - Talita A. Pereira; Regina C. Popim; Leandro A. Passos; Danillo Roberto Pereira; Clayton R. Pereira; João P. Papa (IWSSIP, 2022)

FakeRecogna: A New Brazilian Corpus for Fake News Detection. - Gabriel Lino Garcia; Luis C. S. Afonso; João P. Papa (PROPOR, 2022)

PetroBERT: A Domain Adaptation Language Model for Oil and Gas Applications in Portuguese. - Rafael Bezerra de Menezes Rodrigues; Pedro Ivo Monteiro Privatto; Gustavo José de Sousa; Rafael P. Murari; Luis C. S. Afonso; João P. Papa; Daniel C. G. Pedronette; Ivan Rizzo Guilherme; Stephan R. Perrout; Aliel F. Riente (PROPOR, 2022)

Multiclass Oversampling via Optimum-Path Forest for Tree Species Classification from Street-view Perspectives. - Danilo Samuel Jodas; Leandro Aparecido Passos; Giuliana Del Nero Velasco; Mariana Hortelani Carneseca Longo; Aline Ribeiro Machado; João Paulo Papa (SIBGRAPI, 2022)

How to proper initialize Gaussian Mixture Models with Optimum-Path Forest. - Guilherme Brandão Martins; João Paulo Papa (SIBGRAPI, 2022)

Collaborative Filtering Matches Decision Templates: A Practical Approach to Estimate Predictions. - Guilherme Brandão Martins; João Paulo Papa (SIBGRAPI, 2022)

An Ensemble Pruning Approach to Optimize Intrusion Detection Systems Performance. - Thiago José Lucas; Kelton Augusto Pontara da Costa; Rafal Scherer; João Paulo Papa (SMC, 2022)

EEG Channel Selection for Person Identification Using Binary Grey Wolf Optimizer. - Zaid Abdi Alkareem Alyasseri; Osama Ahmad Alomari; Sharif Naser Makhadmeh; Seyedali Mirjalili; Mohammed Azmi Al-Betar; Salwani Abdullah; Nabeel Salih Ali; João P. Papa; Douglas Rodrigues; Ammar Kamal Abasi (IEEE Access, 2022)

A fuzzy distance-based ensemble of deep models for cervical cancer detection. - Rishav Pramanik; Momojit Biswas; Shibaprasad Sen; Luis Antônio de Souza Júnior; João Paulo Papa; Ram Sarkar (Comput. Methods Programs Biomed., 2022)

Comparative Study Between Distance Measures On Supervised Optimum-Path Forest Classification. - Gustavo Henrique de Rosa; Mateus Roder; João Paulo Papa (CoRR, 2022)

A Multimodal Canonical-Correlated Graph Neural Network for Energy-Efficient Speech Enhancement. - Leandro Aparecido Passos; João Paulo Papa; Amir Hussain 001; Ahsan Adeel (CoRR, 2022)

A Review of Deep Learning-based Approaches for Deepfake Content Detection. - Leandro A. Passos; Danilo S. Jodas; Kelton A. P. da Costa; Luis Antônio Souza Júnior; Danilo Colombo; João Paulo Papa (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)

Canonical Cortical Graph Neural Networks and its Application for Speech Enhancement in Future Audio-Visual Hearing Aids. - Leandro A. Passos; João Paulo Papa; Ahsan Adeel (CoRR, 2022)

PL-kNN: A Parameterless Nearest Neighbors Classifier. - Danilo Samuel Jodas; Leandro Aparecido Passos; Ahsan Adeel; João Paulo Papa (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)

Detection of Trees on Street-View Images Using a Convolutional Neural Network. - Danilo Samuel Jodas; Takashi Yojo; Sergio Brazolin; Giuliana Del Nero Velasco; João Paulo Papa (Int. J. Neural Syst., 2022)

Modeling implicit bias with fuzzy cognitive maps. - Gonzalo Nápoles; Isel Grau; Leonardo Concepción; Lisa Koutsoviti Koumeri; João Paulo Papa (Neurocomputing, 2022)

Weakly supervised learning based on hypergraph manifold ranking. - João Gabriel Camacho Presotto; Samuel Felipe dos Santos; Lucas Pascotti Valem; Fábio Augusto Faria; João Paulo Papa; Jurandy Almeida; Daniel Carlos Guimarães Pedronette (J. Vis. Commun. Image Represent., 2022)

Handling imbalanced datasets through Optimum-Path Forest. - Leandro Aparecido Passos; Danilo S. Jodas; Luiz Carlos Felix Ribeiro; Marco Akio; André Nunes de Souza; João Paulo Papa (Knowl. Based Syst., 2022)

Editorial of the special section on CIARP 2021. - João Paulo Papa; João Manuel R. S. Tavares (Pattern Recognit. Lett., 2022)

EEG Channel Selection Based User Identification via Improved Flower Pollination Algorithm. - Zaid Abdi Alkareem Alyasseri; Osama Ahmad Alomari; João P. Papa; Mohammed Azmi Al-Betar; Karrar Hameed Abdulkareem; Mazin Abed Mohammed; Seifedine Kadry 001; Orawit Thinnukool; Pattaraporn Khuwuthyakorn (Sensors, 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)

Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks. - Claudio Filipi Goncalves dos Santos; João Paulo Papa (ACM Comput. Surv., 2022)

Feature Selection and Hyperparameter Fine-Tuning in Artificial Neural Networks for Wood Quality Classification. - Mateus Roder; Leandro Aparecido Passos; João Paulo Papa; André Luis Debiaso Rossi (BRACIS (2), 2023)

Binary Flying Squirrel Optimizer for Feature Selection. - Luiz Fernando Merli de Oliveira Sementille; Douglas Rodrigues; André Nunes de Souuza; João Paulo Papa (BRACIS (3), 2023)

Facial Point Graphs for Stroke Identification. - Nícolas Barbosa Gomes; Arissa Yoshida; Guilherme Camargo de Oliveira; Mateus Roder; João Paulo Papa (CIARP, 2023)

Deblur Capsule Networks. - Daniel Felipe Silva Santos; Rafael Goncalves Pires; João P. Papa (CIARP, 2023)

A Historic-Best Particle Swarm Optimization Approach for Trust-based Routing in Smart Grid Networks. - Edwin Prem Kumar Gilbert; A. Immanuel Selvakumar; M. Lydia; Baskaran Kaliaperumal; Danilo Samuel Jodas; Leandro A. Passos; João P. Papa (IWSSIP, 2023)

OPFsemble: An Ensemble Pruning Approach via Optimum-Path Forest. - Danilo Samuel Jodas; Leandro Aparecido Passos; Douglas Rodrigues; Thiago José Lucas; Kelton Augusto Pontara da Costa; João Paulo Papa (IWSSIP, 2023)

Temporal Dengue Outbreak Prediction from Climatic Variables using Finite Element Machines for Regression. - M. Lydia; Edwin Prem Kumar Gilbert; Akash Ravichandran; Guilherme Brandão Martins; Leandro A. Passos; João P. Papa (IWSSIP, 2023)

Opposition-Based Jellyfish Search for Feature Selection. - Douglas Rodrigues; Kelton Augusto Pontara da Costa; Danilo S. Gastaldello; André Nunes de Souza; João Paulo Papa (IWSSIP, 2023)

Multimodal Convolutional Deep Belief Networks for Stroke Classification with Fourier Transform. - Mateus Roder; Nícolas Barbosa Gomes; Arissa Yoshida; João Paulo Papa; Fumie Costen (SIBGRAPI, 2023)

A Multi-Class Probabilistic Optimum-Path Forest. - Silas Evandro Nachif Fernandes; Leandro A. Passos; Danilo S. Jodas; Marco Akio; André N. de Souza; João Paulo Papa (VISIGRAPP (5: VISAPP), 2023)

FakeRecogna Anomaly: Fake News Detection in a New Brazilian Corpus. - Gabriel Lino Garcia; Luis C. S. Afonso; Leandro A. Passos; Danilo S. Jodas; Kelton A. P. da Costa; João P. Papa (VISIGRAPP (4: VISAPP), 2023)

Deep Learning Semantic Segmentation Models for Detecting the Tree Crown Foliage. - Danilo Samuel Jodas; Giuliana Del Nero Velasco; Reinaldo Araújo de Lima; Aline Ribeiro Machado; João Paulo Papa (VISIGRAPP (4: VISAPP), 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)

Extractive Text Summarization Using Generalized Additive Models with Interactions for Sentence Selection. - Vinícius Camargo da Silva; João Paulo Papa; Kelton Augusto Pontara da Costa (VISIGRAPP (4: VISAPP), 2023)

A Comprehensive Survey on Ensemble Learning-Based Intrusion Detection Approaches in Computer Networks. - Thiago José Lucas; Inaê Soares de Figueiredo; Carlos Alexandre Carvalho Tojeiro; Alex Marino Gonçalves de Almeida; Rafal Scherer; José Remo Ferreira Brega; João Paulo Papa; Kelton Augusto Pontara da Costa (IEEE Access, 2023)

Gait Recognition Based on Deep Learning: A Survey. - Claudio Filipi Gonçalves dos Santos; Diego de Souza Oliveira; Leandro A. Passos; Rafael Gonçalves Pires; Daniel Felipe Silva Santos; Lucas Pascotti Valem; Thierry Pinheiro Moreira; Marcos Cleison S. Santana; Mateus Roder; João Paulo Papa; Danilo Colombo (ACM Comput. Surv., 2023)

Multimodal audio-visual information fusion using canonical-correlated Graph Neural Network for energy-efficient speech enhancement. - Leandro A. Passos; João Paulo Papa; Javier Del Ser; Amir Hussain 001; Ahsan Adeel (Inf. Fusion, 2023)

TITAN: A LighTweIght Temporal Attention Network for Remote Sensing Image Change Detection. - Daniel F. S. Santos; João P. Papa (IEEE Geosci. Remote. Sens. Lett., 2023)

Nature-inspired optimum-path forest. - Luis Claudio Sugi Afonso; Douglas Rodrigues; João Paulo Papa (Evol. Intell., 2023)

Error-Correcting Mean-Teacher: Corrections instead of consistency-targets applied to semi-supervised medical image segmentation. - Robert Mendel; David Rauber; Luis Antônio de Souza; João P. Papa; Christoph Palm (Comput. Biol. Medicine, 2023)

Canonical cortical graph neural networks and its application for speech enhancement in audio-visual hearing aids. - Leandro A. Passos; João Paulo Papa; Amir Hussain 001; Ahsan Adeel (Neurocomputing, 2023)

PL-kNN: A Python-based implementation of a parameterless k-Nearest Neighbors classifier. - Danilo Samuel Jodas; Leandro Aparecido Passos; Ahsan Adeel; João Paulo Papa (Softw. Impacts, 2023)

Tabular data augmentation for video-based detection of hypomimia in Parkinson's disease. - Guilherme C. Oliveira; Quoc Cuong Ngo; Leandro A. Passos; João P. Papa; Danilo S. Jodas; Dinesh K. Kumar (Comput. Methods Programs Biomed., 2023)

Explaining COVID-19 diagnosis with Taylor decompositions. - Mohammad Mehedi Hassan; Salman A. AlQahtani; Abdulhameed Alelaiwi; João P. Papa (Neural Comput. Appl., 2023)

A Stable Diffusion Approach for RGB to Thermal Image Conversion for Leg Ulcer Assessment. - Guilherme C. Oliveira; Quoc Cuong Ngo; João P. Papa; Dinesh Kant Kumar (CBMS, 2024)

NestNeuro: Leveraging Chatbots for Vocal Screening. - Guilherme C. Oliveira; Nemuel Daniel Pah; Quoc Cuong Ngo; João P. Papa; Dinesh Kant Kumar (CBMS, 2024)

Hate Speech Detection in Portuguese Using BERTimbau. - João Otávio Rodrigues Ferreira Frediani; Gabriel Lino Garcia; Pedro Henrique Paiola; Leandro Aparecido Passos; João Paulo Papa; Aparecido Nilceu Marana (CIARP (1), 2024)

GemBode and PhiBode: Adapting Small Language Models to Brazilian Portuguese. - Gabriel Lino Garcia; Pedro Henrique Paiola; Eduardo Garcia; João Renato Ribeiro Manesco; João Paulo Papa (CIARP (1), 2024)

Impact of Quantization on Large Language Models for Portuguese Classification Tasks. - Danilo Samuel Jodas; Gabriel Lino Garcia; Pedro Henrique Paiola; João Renato Ribeiro Manesco; João Paulo Papa (CIARP (1), 2024)

Graph Matching Networks Meet Optimum-Path Forest: How to Prune Ensembles Efficiently. - Danilo Samuel Jodas; Leandro A. Passos; Douglas Rodrigues; Kelton A. P. Costa; João Paulo Papa (ICPR (7), 2024)

A Quantum-inspired Approach to Estimate Optimum-Path Forest Prototypes based on the Traveling Salesman Problem. - Maria Angélica Krüger Miranda; Felipe Fernandes Fanchini; Leandro Aparecido Passos; Douglas Rodrigues; Kelton Augusto Pontara da Costa; Rafal Scherer; João Paulo Papa (ICPR (7), 2024)

Denoising Autoencoder for Partial Discharge Identification in Instrument Transformers. - Matheus Goes Crivelaro; Douglas Rodrigues; André Gifalli; João Paulo Papa; Carlos Guilherme Gonzales; André Nunes de Souza; Gustavo Vinícius Da Silva; Erasmo Silveira Neto (IWSSIP, 2024)

Neural Architecture Search for Enhancing Action Video Recognition in Compressed Domains. - Pedro Lamkowski; Douglas Rodrigues; Leandro A. Passos; João P. Papa; Jurandy Almeida (IWSSIP, 2024)

Ensemble Diversity Pruning on Cybersecurity: Optimizing Intrusion Detection Systems. - Thiago José Lucas; Leandro Aparecido Passos; Douglas Rodrigues; Danilo S. Jodas; João Paulo Papa; Kelton Augusto Pontara da Costa; Rafal Scherer (IWSSIP, 2024)

Assessing Levodopa Effectiveness in Parkison's Disease During Gait Using Electroencephalogram and Machine Learning. - Rafael Gonçalves Pires; Clayton Reginaldo Pereira; Tiago Penedo; João Paulo Papa; Mateus Roder; Fabio Augusto Barbieri (IWSSIP, 2024)

Enhancing Cyberattack Detection in IoT Environments Through Advanced Resampling Techniques. - Carlos Alexandre Carvalho Tojeiro; Thiago José Lucas; Leandro A. Passos; Douglas Rodrigues; Simone G. D. Prado; João Paulo Papa; Kelton Augusto Pontara da Costa (IWSSIP, 2024)

Text Summarization and Temporal Learning Models Applied to Portuguese Fake News Detection in a Novel Brazilian Corpus Dataset. - Gabriel Lino Garcia; Pedro Henrique Paiola; Danilo Samuel Jodas; Luis Afonso Sugi; João Paulo Papa (PROPOR (1), 2024)

RecognaSumm: A Novel Brazilian Summarization Dataset. - Pedro Henrique Paiola; Gabriel Lino Garcia; Danilo Samuel Jodas; João Vitor Mariano Correia; Luis C. S. Afonso; João Paulo Papa (PROPOR (1), 2024)

Graph Feature Embeddings for Patient Re-Identification from Chest X-Ray Images. - João Renato Ribeiro Manesco; Danilo Samuel Jodas; Maurício José Grapíggia Zanella; Marcel Koenigkam-Santos; João Paulo Papa (SIBGRAPI, 2024)

LiwTERM: A Lightweight Transformer-Based Model for Dermatological Multimodal Lesion Detection. - Luis A. Souza; André G. C. Pacheco; Gabriel De Angelo; Thiago Oliveira-Santos; Christoph Palm; João P. Papa (SIBGRAPI, 2024)

Influence of Pixel Perturbation on eXplainable Artificial Intelligence Methods. - Juliana da Costa Feitosa; Mateus Roder; João Paulo Papa; José Remo Ferreira Brega (VISIGRAPP (3): VISAPP, 2024)

Facial Point Graphs for Amyotrophic Lateral Sclerosis Identification. - Nícolas Barbosa Gomes; Arissa Yoshida; Mateus Roder; Guilherme Camargo de Oliveira; João Paulo Papa (VISIGRAPP (3): VISAPP, 2024)

Strategies for Classifier Selection Based on Genetic Programming for Multimedia Data Recognition. - Rafael Junqueira Martarelli; Douglas Rodrigues; Clayton Reginaldo Pereira; Jurandy Almeida; João Paulo Papa (VISIGRAPP (2): VISAPP, 2024)

Convolutional Neural Networks and Image Patches for Lithological Classification of Brazilian Pre-Salt Rocks. - Mateus Roder; Leandro Aparecido Passos; Clayton R. Pereira; João Paulo Papa; Altanir Flores de Mello Junior; Marcelo Fagundes de Rezende; Yaro Moisés Parizek Silva; Alexandre Campane Vidal (VISIGRAPP (3): VISAPP, 2024)

Why consider quantum instead classical pattern recognition techniques? - Artur Gomes Barreto; Felipe Fernandes Fanchini; João Paulo Papa; Victor Hugo C. de Albuquerque (Appl. Soft Comput., 2024)

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)

Facial expressions to identify post-stroke: A pilot study. - Guilherme C. Oliveira; Quoc Cuong Ngo; Leandro A. Passos; Leonardo S. Oliveira; João P. Papa; Dinesh Kant Kumar (Comput. Methods Programs Biomed., 2024)

Introducing Bode: A Fine-Tuned Large Language Model for Portuguese Prompt-Based Task. - Gabriel Lino Garcia; Pedro Henrique Paiola; Luis Henrique Morelli; Giovani Candido; Arnaldo Cândido Júnior; Danilo Samuel Jodas; Luis C. S. Afonso; Ivan Rizzo Guilherme; Bruno Elias Penteado; João Paulo Papa (CoRR, 2024)

BioNeRF: Biologically Plausible Neural Radiance Fields for View Synthesis. - Leandro A. Passos; Douglas Rodrigues; Danilo S. Jodas; Kelton A. P. Costa; João Paulo Papa (CoRR, 2024)

Adapting LLMs for the Medical Domain in Portuguese: A Study on Fine-Tuning and Model Evaluation. - Pedro Henrique Paiola; Gabriel Lino Garcia; João Renato Ribeiro Manesco; Mateus Roder; Douglas Rodrigues; João Paulo Papa (CoRR, 2024)

A Review on Scientific Knowledge Extraction using Large Language Models in Biomedical Sciences. - Gabriel Lino Garcia; João Renato Ribeiro Manesco; Pedro Henrique Paiola; Lucas Miranda; Maria Paola de Salvo; João Paulo Papa (CoRR, 2024)

Weakly supervised classification through manifold learning and rank-based contextual measures. - João Gabriel Camacho Presotto; Lucas Pascotti Valem; Nikolas Gomes de Sá; Daniel Carlos Guimarães Pedronette; João Paulo Papa (Neurocomputing, 2024)

A binary particle swarm optimization-based pruning approach for environmentally sustainable and robust CNNs. - Jihene Tmamna; Rahma Fourati; Emna Ben Ayed; Leandro A. Passos; João P. Papa; Mounir Ben Ayed; Amir Hussain 001 (Neurocomputing, 2024)

DeepCraftFuse: visual and deeply-learnable features work better together for esophageal cancer detection in patients with Barrett's esophagus. - Luis Antônio de Souza Júnior; André G. C. Pacheco; Leandro A. Passos; Marcos C. S. Santana; Robert Mendel; Alanna Ebigbo; Andreas Probst; Helmut Messmann; Christoph Palm; João Paulo Papa (Neural Comput. Appl., 2024)

Urban tree failure probability prediction based on dendrometric aspects and machine learning models. - Danilo Samuel Jodas; Sergio Brazolin; Giuliana Del Nero Velasco; Reinaldo Araújo de Lima; Takashi Yojo; João Paulo Papa (Comput. Environ. Urban Syst., 2024)

Rethinking Regularization with Random Label Smoothing. - Claudio Filipi Gonçalves dos Santos; João Paulo Papa (Neural Process. Lett., 2024)

Quantum neural networks successfully calibrate language models. - Jogi Suda Neto; Lluis Quiles Ardila; Thiago Nascimento Nogueira; Felipe Albuquerque; João Paulo Papa; Rodrigo Capobianco Guido; Felipe Fernandes Fanchini (Quantum Mach. Intell., 2024)

A review of deep learning-based approaches for deepfake content detection. - Leandro A. Passos; Danilo Samuel Jodas; Kelton A. P. Costa; Luis Antônio de Souza; Douglas Rodrigues; Javier Del Ser; David Camacho; João Paulo Papa (Expert Syst. J. Knowl. Eng., 2024)

Layer-selective deep representation to improve esophageal cancer classification. - Luis Antônio de Souza; Leandro A. Passos; Marcos Cleison S. Santana; Robert Mendel; David Rauber; Alanna Ebigbo; Andreas Probst; Helmut Messmann; João Paulo Papa; Christoph Palm (Medical Biol. Eng. Comput., 2024)

A Step Forward for Medical LLMs in Brazilian Portuguese: Establishing a Benchmark and a Strong Baseline. - Gabriel Lino Garcia; João Renato Ribeiro Manesco; Pedro Henrique Paiola; Pedro Henrique Crespan Ribeiro; Ana Lara Alves Garcia; João Paulo Papa (CBMS, 2025)

A Hybrid Quantum-Classical Model for Breast Cancer Diagnosis with Quanvolutions. - Yasmin Rodrigues Sobrinho; Enzo Gabriel Batista Soares; João Renato Ribeiro Manesco; Jawaher Al-Tuweity; Rafael Gonçalves Pires; João Paulo Papa (CBMS, 2025)

A Convolutional Recurrent Mixer Network For Radar Meteorological Image Super-Resolution. - Rafael Gonçalves Pires; Daniel F. S. Santos; Roberto V. Calheiros; João Paulo Papa; Ik Hyun Lee; Sambit Bakshi; Khan Muhammad 001 (ICASSP, 2025)

Optimum-Path Forest Ensembles to Estimate the Internal Decay in Urban Trees. - Giovani Candido; Luis Henrique Morelli; Danilo Samuel Jodas; Giuliana Del Nero Velasco; Reinaldo Araújo de Lima; Kelton Augusto Pontara da Costa; João Paulo Papa (VISIGRAPP (2): VISAPP, 2025)

Customized Atrous Spatial Pyramid Pooling with Joint Convolutions for Urban Tree Segmentation. - Danilo Samuel Jodas; Giuliana Del Nero Velasco; Sergio Brazolin; Reinaldo Araújo de Lima; Leandro Aparecido Passos; João Paulo Papa (VISIGRAPP (3): VISAPP, 2025)

Brain Age Prediction Using a Lightweight Convolutional Neural Network. - Fatma El Zahraa Magdy; Mario Parreño Centeno; James H. Cole; João Paulo Papa; Fumie Costen (IEEE Access, 2025)

A pilot study for speech assessment to detect the severity of Parkinson's disease: An ensemble approach. - Guilherme Camargo de Oliveira; Nemuel Daniel Pah; Quoc Cuong Ngo; Arissa Yoshida; Nícolas Barbosa Gomes; João P. Papa; Dinesh Kant Kumar (Comput. Biol. Medicine, 2025)

Comparative validation of surgical phase recognition, instrument keypoint estimation, and instrument instance segmentation in endoscopy: Results of the PhaKIR 2024 challenge. - Tobias Rueckert; David Rauber; Raphaela Maerkl; Leonard Klausmann; Suemeyye R. Yildiran; Max Gutbrod; Danilo Weber Nunes; Alvaro Fernandez Moreno; Imanol Luengo; Danail Stoyanov; Nicolas Toussaint; Enki Cho; et al. (CoRR, 2025)

TransConv: a lightweight architecture based on transformers and convolutional neural networks for adenocarcinoma and Barrett's esophagus identification. - Luis Antônio de Souza; André G. C. Pacheco; Alberto F. De Souza; Thiago Oliveira-Santos; Claudine Badue; Christoph Palm; João Paulo Papa (Neural Comput. Appl., 2025)

Facial Expression Analysis in Parkinsons's Disease Using Machine Learning: A Review. - Guilherme C. Oliveira; Quoc Cuong Ngo; Leandro A. Passos; Danilo Samuel Jodas; João Paulo Papa; Dinesh Kant Kumar (ACM Comput. Surv., 2025)