J. Papa

发表

Fine-Tuning Convolutional Neural Networks Using Harmony Search

João Paulo Papa, Gustavo H. Rosa, Aparecido Nilceu Marana, 2015, CIARP.

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

João Paulo Papa, Gustavo H. Rosa, Aparecido Nilceu Marana, 2015, J. Comput. Sci..

Supervised pattern classification based on optimum-path forest

João Paulo Papa, Alexandre X. Falcão, Celso T. N. Suzuki, 2009 .

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

Clayton R. Pereira, João Paulo Papa, Gustavo H. Rosa, 2016, 2016 29th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI).

A Novel Siamese-Based Approach for Scene Change Detection With Applications to Obstructed Routes in Hazardous Environments

João Paulo Papa, Victor Hugo C. de Albuquerque, Danilo Colombo, 2020, IEEE Intelligent Systems.

Computer-aided diagnosis using deep learning in the evaluation of early oesophageal adenocarcinoma

Christoph Palm, Robert Mendel, Alanna Ebigbo, 2018, Gut.

A technical review of artificial intelligence as applied to gastrointestinal endoscopy: clarifying the terminology

Luis A. de Souza, C. Palm, P. Siersema, 2019, Endoscopy International Open.

Assisting Barrett's esophagus identification using endoscopic data augmentation based on Generative Adversarial Networks

João Paulo Papa, Christoph Palm, Robert Mendel, 2020, Comput. Biol. Medicine.

New Trends in Musical Genre Classification Using Optimum-Path Forest

Rodrigo Nakamura, João Paulo Papa, Ivan Rizzo Guilherme, 2011, ISMIR.

Fast and Robust Object Tracking Using Image Foresting Transform

J. P. Papa, A. X. Falcao, J. Stolfi, 2009, 2009 16th International Conference on Systems, Signals and Image Processing.

Comparison of the Intelligent Techniques for Data Mining in Spam Detection to Computer Networks

J. Papa, K. Costa, P. Ribeiro, 2014 .

A new computer vision-based approach to aid the diagnosis of Parkinson's disease

Clayton R. Pereira, João Paulo Papa, Danillo Roberto Pereira, 2016, Comput. Methods Programs Biomed..

Denoising swallowing sound to improve the evaluator's qualitative analysis

Carlos Dias Maciel, Arlindo Neto Montagnoli, João Paulo Papa, 2008, Comput. Electr. Eng..

Evolutionary Optimization Applied for Fine-Tuning Parameter Estimation in Optical Flow-based Methods

J. Papa, M. A. Piteri, A. O. Artero, 2014 .

A pr 2 01 7 LibOPT : An Open-Source Platform for Fast Prototyping So Optimization Techniques

J. Papa, D. Rodrigues, 2018 .

Convolutional neural networks ensembles through single-iteration optimization

Gustavo de Rosa, J. Papa, D. Rodrigues, 2021, Soft Computing.

Supervised Pattern Classification Using Optimum-Path Forest

A. Falcão, J. Papa, 2009 .

Early experiences with crowdsourcing airway annotations in chest CT

Jaime S. Cardoso, M. Loog, G. Carneiro, 2017 .

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support

Jaime S. Cardoso, M. Jorge Cardoso, H. Greenspan, 2017, Lecture Notes in Computer Science.

Special issue: 4th MICCAI workshop on deep learning in medical image analysis

Gustavo Carneiro, Zhi Lu, João Paulo Papa, 2020, Comput. methods Biomech. Biomed. Eng. Imaging Vis..

Semi-supervised Segmentation Based on Error-Correcting Supervision

João Paulo Papa, Christoph Palm, David Rauber, 2020, ECCV.

OPFython: A Python implementation for Optimum-Path Forest

João Paulo Papa, Gustavo Henrique de Rosa, Gustavo de Rosa, 2021, Softw. Impacts.

Meta‐heuristic multi‐ and many‐objective optimization techniques for solution of machine learning problems

João Paulo Papa, Hojjat Adeli, Douglas Rodrigues, 2017, Expert Syst. J. Knowl. Eng..

Fine-tuning Generative Adversarial Networks using Metaheuristics - A Case Study on Barrett's Esophagus Identification

João Paulo Papa, Christoph Palm, Robert Mendel, 2021, Bildverarbeitung für die Medizin.

An Ensemble Pruning Approach to Optimize Intrusion Detection Systems Performance

R. Scherer, J. Papa, Thiago José Lucas, 2022, 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

EEG-Based Person Identification Using Multi-Verse Optimizer as Unsupervised Clustering Techniques

Salwani Abdullah, João Paulo Papa, Mohammed Azmi Al-Betar, 2021 .

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

Gustavo de Rosa, J. Papa, Mateus Roder, 2021, 2021 IEEE Symposium Series on Computational Intelligence (SSCI).

Collaborative Filtering Matches Decision Templates: A Practical Approach to Estimate Predictions

Guilherme B. Martins, J. Papa, 2022, 2022 35th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI).

Projections onto convex sets parameter estimation through harmony search and its application for image restoration

Alex F. Mansano, J. Papa, D. R. Pereira, 2016, Natural Computing.

How to proper initialize Gaussian Mixture Models with Optimum-Path Forest

Guilherme B. Martins, J. Papa, 2022, SIBGRAPI Conference on Graphics, Patterns and Images.

Speeding Up OPFython with Numba pdf

Joao Paulo Papa, Gustavo H. de Rosa, Gustavo de Rosa, 2021, ArXiv.

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

João Paulo Papa, Kelton A. P. Costa, Gustavo H. Rosa, 2014, 2014 22nd International Conference on Pattern Recognition.

Supervised pattern classification based on optimum‐path forest

João Paulo Papa, Alexandre X. Falcão, Celso T. N. Suzuki, 2009, Int. J. Imaging Syst. Technol..

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support: 4th International Workshop, DLMIA 2018, and 8th International Workshop, ML-CDS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings

Gustavo Carneiro, João Paulo Papa, Lena Maier-Hein, 2018, DLMIA/ML-CDS@MICCAI.

Automatic landslide recognition through Optimum-Path Forest

Clayton R. Pereira, Rodrigo Nakamura, João Paulo Papa, 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

EEG-based person identification through Binary Flower Pollination Algorithm

Xin-She Yang, João Paulo Papa, Aparecido Nilceu Marana, 2016, Expert Syst. Appl..

Binary Flower Pollination Algorithm and Its Application to Feature Selection

Xin-She Yang, João Paulo Papa, Douglas Rodrigues, 2015, Recent Advances in Swarm Intelligence and Evolutionary Computation.

A New Variant of the Optimum-Path Forest Classifier

João Paulo Papa, Alexandre X. Falcão, A. Falcão, 2008, ISVC.

Automatic classification of plant electrophysiological responses to environmental stimuli using machine learning and interval arithmetic

João Paulo Papa, Danillo Roberto Pereira, Gustavo Maia Souza, 2018, Comput. Electron. Agric..

A social-spider optimization approach for support vector machines parameters tuning

João Paulo Papa, Danillo Roberto Pereira, Luis A. M. Pereira, 2014, 2014 IEEE Symposium on Swarm Intelligence.

EEG signal classification for epilepsy diagnosis via optimum path forest - A systematic assessment

João Paulo Papa, Victor Hugo C. de Albuquerque, Clodoaldo Ap. M. Lima, 2014, Neurocomputing.

Petroleum well drilling monitoring through cutting image analysis and artificial intelligence techniques

João Paulo Papa, Ivan Rizzo Guilherme, Aparecido Nilceu Marana, 2011, Eng. Appl. Artif. Intell..

IFTrace: Video segmentation of deformable objects using the Image Foresting Transform

Jorge Stolfi, Rodrigo Minetto, João Paulo Papa, 2012, Comput. Vis. Image Underst..

Normalizing images is good to improve computer-assisted COVID-19 diagnosis

J. Papa, L. A. Passos, Claudio Filipi Gonçalves dos Santos, 2021, Data Science for COVID-19.

Internet of Things: A survey on machine learning-based intrusion detection approaches

João Paulo Papa, Kelton A. P. Costa, Victor Hugo C. de Albuquerque, 2019, Comput. Networks.

FEMa: a finite element machine for fast learning

João Paulo Papa, Hojjat Adeli, Danilo R. Pereira, 2019, Neural Computing and Applications.

Fine-tuning enhanced probabilistic neural networks using metaheuristic-driven optimization

João Paulo Papa, H. Adeli, S.E.N. Fernandes, 2016 .

Automatic segmentation of the secondary austenite-phase island precipitates in a superduplex stainless steel weld metal

João Manuel R. S. Tavares, João Paulo Papa, Victor Hugo C. de Albuquerque, 2011 .

Binary Bat Algorithm for Feature Selection

Xin-She Yang, João Paulo Papa, Kelton A. P. Costa, 2013 .

BCS: A Binary Cuckoo Search algorithm for feature selection

Xin-She Yang, João Paulo Papa, Douglas Rodrigues, 2013, 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013).

Endoscopic prediction of submucosal invasion in Barrett’s cancer with the use of artificial intelligence: a pilot study

Luis A. de Souza, C. Palm, D. Rauber, 2020, Endoscopy.

Improving semi-supervised learning through optimum connectivity

João Paulo Papa, Alexandre X. Falcão, Willian Paraguassu Amorim, 2016, Pattern Recognit..

A New Method for Automatic Vehicle License Plate Detection

Danillo Roberto Pereira, Joao Paulo Papa, Guilherme Lofrano Corneto, 2017, IEEE Latin America Transactions.

Feature selection through gravitational search algorithm

João Paulo Papa, Giovani Chiachia, Alexandre X. Falcão, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

An Optimum-Path Forest framework for intrusion detection in computer networks

Clayton R. Pereira, Rodrigo Nakamura, João Paulo Papa, 2012, Eng. Appl. Artif. Intell..

Vessel and tissue recognition during third-space endoscopy using a deep learning algorithm

Luis A. de Souza, C. Palm, D. Rauber, 2022, Gut.

Automated recognition of lung diseases in CT images based on the optimum-path forest classifier

J. Tavares, V. Albuquerque, P. Filho, 2019, Neural Computing and Applications.

A wrapper approach for feature selection based on Bat Algorithm and Optimum-Path Forest

Xin-She Yang, Rodrigo Nakamura, João Paulo Papa, 2014, Expert Syst. Appl..

Predicting on multi-target regression for the yield of sweet potato by the market class of its roots upon vegetation indices

Rouverson Pereira da Silva, J. Papa, D. Tedesco, 2021, Comput. Electron. Agric..

Image Denoising using Attention-Residual Convolutional Neural Networks

Daniel F. S. Santos, João P. Papa, Rafael G. Pires, 2020, 2020 33rd SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI).

Stroke Lesion Detection Using Convolutional Neural Networks

João Paulo Papa, Gustavo Henrique de Rosa, Victor Hugo C. de Albuquerque, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Regression-based finite element machines for reliability modeling of downhole safety valves

João Paulo Papa, Danilo Colombo, Gilson Brito Alves Lima, 2020, Reliab. Eng. Syst. Saf..

Precipitates Segmentation from Scanning Electron Microscope Images through Machine Learning Techniques

Clayton R. Pereira, João Paulo Papa, Alexandre X. Falcão, 2011, IWCIA.

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

Gustavo Carneiro, João P. Papa, Fabio A. Faria, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

Machine Learning Algorithms for Automatic Classification of Marmoset Vocalizations

Sidarta Ribeiro, Victor Hugo C de Albuquerque, V. H. C. de Albuquerque, 2016, PloS one.

Computational methods for the image segmentation of pigmented skin lesions: A review

João Paulo Papa, João Manuel R. S. Tavares, Roberta B. Oliveira, 2016, Comput. Methods Programs Biomed..

Faster α-expansion via dynamic programming and image partitioning

Luciano Oliveira, Marcelo Mendonça, Joao Papa, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Optimizing Contextual-Based Optimum-Forest Classification through Swarm Intelligence

Rodrigo Nakamura, João Paulo Papa, Alexandre X. Falcão, 2013, ACIVS.

OPF-MRF: Optimum-Path Forest and Markov Random Fields for Contextual-Based Image Classification

Rodrigo Nakamura, João Paulo Papa, Alexandre X. Falcão, 2013, CAIP.

An Overview on Concept Drift Learning

João Paulo Papa, Adriana Sayuri Iwashita, J. Papa, 2019, IEEE Access.

Intelligent Network Security Monitoring Based on Optimum-Path Forest Clustering

Raimir Holanda Filho, João Paulo Papa, Joel J. P. C. Rodrigues, 2019, IEEE Network.

A nature-inspired approach to speed up optimum-path forest clustering and its application to intrusion detection in computer networks

Clayton R. Pereira, Rodrigo Nakamura, João Paulo Papa, 2015, Inf. Sci..

BBA: A Binary Bat Algorithm for Feature Selection

Xin-She Yang, Rodrigo Nakamura, João Paulo Papa, 2012, 2012 25th SIBGRAPI Conference on Graphics, Patterns and Images.

Bio-inspired computation and its applications in image processing: an overview

X.-S. Yang, J. P. Papa, J. Papa, 2016 .

Deep learning techniques for recommender systems based on collaborative filtering

João Paulo Papa, Hojjat Adeli, Guilherme B. Martins, 2020, Expert Syst. J. Knowl. Eng..

Robust automated cardiac arrhythmia detection in ECG beat signals

David Menotti, João Paulo Papa, Eduardo José da S. Luz, 2018, Neural Computing and Applications.

ECG arrhythmia classification based on optimum-path forest

David Menotti, João Paulo Papa, Eduardo José da S. Luz, 2013, Expert Syst. Appl..

Computational methods for pigmented skin lesion classification in images: review and future trends

João Paulo Papa, João Manuel R. S. Tavares, Roberta B. Oliveira, 2018, Neural Computing and Applications.

Intrusion Detection System Based On Flows Using Machine Learning Algorithms

Joao Paulo Papa, Francisco Assis da Silva, Victor Hugo Costa de Albuquerque, 2017, IEEE Latin America Transactions.

A novel algorithm for feature selection using Harmony Search and its application for non-technical losses detection

João Paulo Papa, Giovani Chiachia, Alexandre X. Falcão, 2011, Comput. Electr. Eng..

Environmental Monitoring Using Drone Images and Convolutional Neural Networks

João Paulo Papa, Gustavo H. Rosa, Aparecido Nilceu Marana, 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

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

Clayton R. Pereira, João Paulo Papa, Gustavo H. Rosa, 2019, Future Gener. Comput. Syst..

Deep Learning and Data Labeling for Medical Applications

Jaime S. Cardoso, João Paulo Papa, Julien Cornebise, 2016, Lecture Notes in Computer Science.

Quaternion-based Deep Belief Networks fine-tuning

Xin-She Yang, João Paulo Papa, Gustavo H. Rosa, 2017, Appl. Soft Comput..

Comparison of the techniques decision tree and MLP for data mining in SPAMs detection to computer networks

Joao Paulo Papa, Henrique Martins, Kelton Costa, 2013, Third International Conference on Innovative Computing Technology (INTECH 2013).

Fine-tuning Deep Belief Networks using Harmony Search

João Paulo Papa, Walter J. Scheirer, David D. Cox, 2016, Appl. Soft Comput..

A survey on computer-assisted Parkinson's Disease diagnosis

Clayton R. Pereira, João Paulo Papa, Victor Hugo C. de Albuquerque, 2019, Artif. Intell. Medicine.

Canonical Cortical Graph Neural Networks and its Application for Speech Enhancement in Future Audio-Visual Hearing Aids

Ahsan Adeel, J. Papa, L. A. Passos, 2022, Neurocomputing.

Semi-supervised learning with convolutional neural networks for UAV images automatic recognition

João Paulo Papa, Hemerson Pistori, Everton Castelão Tetila, 2019, Comput. Electron. Agric..

An incremental Optimum-Path Forest classifier and its application to non-technical losses identification

João Paulo Papa, André N. de Souza, Danilo S. Gastaldello, 2021, Comput. Electr. Eng..

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

João Paulo Papa, Kelton A. P. Costa, Gustavo H. Rosa, 2015, GECCO.

Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks

João Paulo Papa, Claudio Filipi Gonçalves dos Santos, J. Papa, 2022, ACM Comput. Surv..

Error-Correcting Mean-Teacher: Corrections instead of consistency-targets applied to semi-supervised medical image segmentation

C. Palm, D. Rauber, R. Mendel, 2023, Comput. Biol. Medicine.

A fuzzy distance-based ensemble of deep models for cervical cancer detection

Luis Antônio de Souza Junior, J. Papa, Shibaprasad Sen, 2022, Comput. Methods Programs Biomed..

Exudate detection in fundus images using deeply-learnable features

João Paulo Papa, Dinesh Kant Kumar, Behzad Aliahmad, 2019, Comput. Biol. Medicine.

Learning visual representations with optimum-path forest and its applications to Barrett’s esophagus and adenocarcinoma diagnosis

Christoph Palm, Christian Hook, Robert Mendel, 2019, Neural Computing and Applications.

Pruning Optimum-Path Forest Classifiers Using Multi-Objective Optimization

João Paulo Papa, Douglas Rodrigues, André N. de Souza, 2017, 2017 30th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI).

Enhancing Brain Storm Optimization Through Optimum-Path Forest

João Paulo Papa, Luis Claudio Sugi Afonso, Leandro A. Passos, 2018, 2018 IEEE 12th International Symposium on Applied Computational Intelligence and Informatics (SACI).

A critical literature survey and prospects on tampering and anomaly detection in image data

Javier Del Ser, Kelton A. P. Costa, João Paulo Papa, 2020, Appl. Soft Comput..

Editorial

Gustavo Carneiro, Jaime S. Cardoso, Zhi Lu, 1875, Comput. methods Biomech. Biomed. Eng. Imaging Vis..

Real-time use of artificial intelligence in the evaluation of cancer in Barrett’s oesophagus

Robert Mendel, Alanna Ebigbo, Andreas Probst, 2019, Gut.

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

Clayton R. Pereira, João Paulo Papa, Gustavo H. Rosa, 2018, Artif. Intell. Medicine.

Bio-Inspired Computation and Applications in Image Processing

Xin-She Yang, João Paulo Papa, Xin-She Yang, 2016 .

Deep Features Extraction for Robust Fingerprint Spoofing Attack Detection

João Paulo Papa, Aparecido Nilceu Marana, Gustavo Botelho de Souza, 2018, J. Artif. Intell. Soft Comput. Res..

Dental Biometrics for Human Identification

João Paulo Papa, Aparecido Nilceu Marana, Denise Tostes Oliveira, 2011 .

Spoken emotion recognition through optimum-path forest classification using glottal features

João Paulo Papa, Alexandre X. Falcão, Michael S. Scordilis, 2010, Comput. Speech Lang..

A multi-objective artificial butterfly optimization approach for feature selection

João Paulo Papa, Victor Hugo C. de Albuquerque, Douglas Rodrigues, 2020, Appl. Soft Comput..

Ultrasonic Sensor Signals and Optimum Path Forest Classifier for the Microstructural Characterization of Thermally-Aged Inconel 625 Alloy

João Paulo Papa, João Manuel R. S. Tavares, Victor Hugo C. de Albuquerque, 2015, Sensors.

Automatic microstructural characterization and classification using artificial intelligence techniques on ultrasound signals

João Paulo Papa, João Manuel R. S. Tavares, Victor Hugo C. de Albuquerque, 2013, Expert Syst. Appl..

Computer techniques towards the automatic characterization of graphite particles in metallographic images of industrial materials

Rodrigo Nakamura, João Paulo Papa, Alexandre X. Falcão, 2013, Expert Syst. Appl..

Social-Spider Optimization-based Support Vector Machines applied for energy theft detection

João Paulo Papa, Danillo Roberto Pereira, Luis A. M. Pereira, 2016, Comput. Electr. Eng..

Fast optimum-path forest classification on graphics processors

João Paulo Papa, Luciene P. Papa, André N. de Souza, 2015, 2014 International Conference on Computer Vision Theory and Applications (VISAPP).

Fast and accurate holistic face recognition using Optimum-Path Forest

Nelson D. A. Mascarenhas, Alexandre L. M. Levada, Joao P. Papa, 2009, 2009 16th International Conference on Digital Signal Processing.

Infrared Face Recognition by Optimum-Path Forest

Giovani Chiachia, Joao P. Papa, Alexandre X. Falcao, 2009, 2009 16th International Conference on Systems, Signals and Image Processing.

Barrett's esophagus analysis using infinity Restricted Boltzmann Machines

João Paulo Papa, Christoph Palm, Leandro A. Passos, 2019, J. Vis. Commun. Image Represent..

Barrett's Esophagus Identification Using Color Co-Occurrence Matrices

João Paulo Papa, Christoph Palm, Robert Mendel, 2018, 2018 31st SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI).

Boosting Optimum-Path Forest clustering through harmony Search and its applications for intrusion detection in computer networks

Clayton R. Pereira, Rodrigo Nakamura, João Paulo Papa, 2012, 2012 Fourth International Conference on Computational Aspects of Social Networks (CASoN).

Embedded real-time speed limit sign recognition using image processing and machine learning techniques

João Paulo Papa, João Manuel R. S. Tavares, Victor Hugo C. de Albuquerque, 2016, Neural Computing and Applications.

Handling Imbalanced Datasets Through Optimum-Path Forest

J. Papa, L. A. Passos, D. Jodas, 2022, Knowl. Based Syst..

Application of Optimum-Path Forest Classifier for Synthetic Material Porosity Segmentation

João Paulo Papa, Alexandre X. Falcão, Victor Hugo C. de Albuquerque, 2010 .

A genetic programming framework for content-based image retrieval

Edward A. Fox, Weiguo Fan, João Paulo Papa, 2009, Pattern Recognit..

A survey on Barrett's esophagus analysis using machine learning

João Paulo Papa, Christoph Palm, Christian Hook, 2018, Comput. Biol. Medicine.

On the Study of Commercial Losses in Brazil: A Binary Black Hole Algorithm for Theft Characterization

Douglas Rodrigues, Caio C. O. Ramos, João P. Papa, 2018, IEEE Transactions on Smart Grid.

Black Hole Algorithm for non-technical losses characterization

João Paulo Papa, Douglas Rodrigues, André N. de Souza, 2015, 2015 IEEE 6th Latin American Symposium on Circuits & Systems (LASCAS).

Learning concept drift with ensembles of optimum-path forest-based classifiers

João Paulo Papa, Victor Hugo C. de Albuquerque, Adriana S. Iwashita, 2019, Future Gener. Comput. Syst..

Automatic Segmentation and Classification of Human Intestinal Parasites From Microscopy Images

João Paulo Papa, Alexandre X. Falcão, Celso T. N. Suzuki, 2013, IEEE Transactions on Biomedical Engineering.

Detection of Trees on Street-View Images Using a Convolutional Neural Network

Giuliana Del Nero Velasco, J. Papa, S. Brazolin, 2021, Int. J. Neural Syst..

A Step Towards the Automated Diagnosis of Parkinson's Disease: Analyzing Handwriting Movements

Clayton R. Pereira, João Paulo Papa, Danillo Roberto Pereira, 2015, 2015 IEEE 28th International Symposium on Computer-Based Medical Systems.

Convolutional Neural Networks Applied for Parkinson's Disease Identification

Xin-She Yang, Clayton R. Pereira, João Paulo Papa, 2016, Machine Learning for Health Informatics.

A survey on text generation using generative adversarial networks

João Paulo Papa, Gustavo Henrique de Rosa, Gustavo de Rosa, 2021, Pattern Recognit..

A new approach to contextual learning using interval arithmetic and its applications for land-use classification

João Paulo Papa, Danillo Roberto Pereira, J. Papa, 2016, Pattern Recognit. Lett..

Improving land cover classification through contextual-based optimum-path forest

Rodrigo Nakamura, João Paulo Papa, Alexandre X. Falcão, 2015, Inf. Sci..

Automatic identification of epileptic EEG signals through binary magnetic optimization algorithms

André L. V. Coelho, V. Albuquerque, C. Lima, 2019, Neural Computing and Applications.

Theoretical background and related works

A. Falcão, J. Papa, L. C. Afonso, 2022, Optimum-Path Forest.

Efficient supervised optimum-path forest classification for large datasets

João Paulo Papa, Alexandre X. Falcão, João Manuel R. S. Tavares, 2012, Pattern Recognit..

A Novel Approach for Optimum-Path Forest Classification Using Fuzzy Logic

Weiping Ding, Victor Hugo C. de Albuquerque, João P. Papa, 2020, IEEE Transactions on Fuzzy Systems.

A Probabilistic Optimum-Path Forest Classifier for Non-Technical Losses Detection

Danilo S. Gastaldello, Caio C. O. Ramos, André N. Souza, 2019, IEEE Transactions on Smart Grid.

A Probabilistic Optimum-Path Forest Classifier for Binary Classification Problems pdf

João Paulo Papa, Silas Evandro Nachif Fernandes, André N. de Souza, 2016, ArXiv.

Feature selection through binary brain storm optimization

João Paulo Papa, Gustavo H. Rosa, André N. de Souza, 2018, Comput. Electr. Eng..

O2PF: Oversampling via Optimum-Path Forest for Breast Cancer Detection pdf

João Paulo Papa, Leandro Aparecido Passos, Danilo Samuel Jodas, 2021, ArXiv.

Projections Onto Convex Sets through Particle Swarm Optimization and its application for remote sensing image restoration

João Paulo Papa, Leila Maria Garcia Fonseca, Lino Augusto Sander de Carvalho, 2010, Pattern Recognit. Lett..

A Layer-Wise Information Reinforcement Approach to Improve Learning in Deep Belief Networks pdf

Clayton R. Pereira, João Paulo Papa, Mateus Roder, 2020, ICAISC.

Anne L. Martel, Marc Combalia, Veronica Vilaplana, 2018, DLMIA/ML-CDS@MICCAI.

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support pdf

Jaime S. Cardoso, Mitko Veta, Josien P. W. Pluim, 2017, Lecture Notes in Computer Science.

A Metaheuristic-Driven Approach to Fine-Tune Deep Boltzmann Machines pdf

João Paulo Papa, Leandro Aparecido Passos, J. Papa, 2020, Appl. Soft Comput..

Fine Tuning Deep Boltzmann Machines Through Meta-Heuristic Approaches

João Paulo Papa, Leandro A. Passos, Douglas R. Rodrigues, 2018, 2018 IEEE 12th International Symposium on Applied Computational Intelligence and Informatics (SACI).

Modeling Implicit Bias with Fuzzy Cognitive Maps pdf

Isel Grau, Joao Paulo Papa, Gonzalo N'apoles, 2021, Neurocomputing.

On the Learning of Deep Local Features for Robust Face Spoofing Detection

João Paulo Papa, Aparecido Nilceu Marana, Gustavo Botelho de Souza, 2018, 2018 31st SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI).

Unsupervised Dialogue Act Classification with Optimum-Path Forest

João Paulo Papa, Luiz Carlos Felix Ribeiro, J. Papa, 2018, 2018 31st SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI).

A Graph-Based Framework for Thermal Faceprint Characterization

João Paulo Papa, Aparecido Nilceu Marana, Daniel Osaku, 2011, ICIAP.

Multi-label semi-supervised classification through optimum-path forest

João Paulo Papa, Alexandre X. Falcão, Willian Paraguassu Amorim, 2018, Inf. Sci..

Convolutional Neural Networks for the evaluation of cancer in Barrett's esophagus: Explainable AI to lighten up the black-box

João Paulo Papa, Christoph Palm, Robert Mendel, 2021, Comput. Biol. Medicine.

Improving Image Classification through Descriptor Combination

João Paulo Papa, Ricardo da Silva Torres, Luis Claudio Sugi Afonso, 2012, 2012 25th SIBGRAPI Conference on Graphics, Patterns and Images.

How Far do We Get Using Machine Learning Black-Boxes?

João Paulo Papa, Anderson Rocha, Luis A. A. Meira, 2012, Int. J. Pattern Recognit. Artif. Intell..

MaxDropout: Deep Neural Network Regularization Based on Maximum Output Values pdf

Mateus Roder, Joao Paulo Papa, Danilo Colombo, 2020, 2020 25th International Conference on Pattern Recognition (ICPR).

OPFython: A Python-Inspired Optimum-Path Forest Classifier

A. Falcão, Gustavo de Rosa, J. Papa, 2020, Software Impacts.

Unsupervised non-technical losses identification through optimum-path forest

Kelton A. P. Costa, João Paulo Papa, Douglas Rodrigues, 2016 .

EEG-based Person Authentication Using Multi-objective Flower Pollination Algorithm

João Paulo Papa, Mohammed Azmi Al-Betar, Osama Ahmad Alomari, 2018, 2018 IEEE Congress on Evolutionary Computation (CEC).

Parkinson's disease identification through optimum-path forest

Joao P. Papa, Alexandre X. Falcao, Andre A. Spadoto, 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

New Insights on Nontechnical Losses Characterization Through Evolutionary-Based Feature Selection

C. C. O. Ramos, J. P. Papa, A. N. de Souza, 2012, IEEE Transactions on Power Delivery.

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

João Paulo Papa, Gustavo H. Rosa, Luciene P. Papa, 2017, Pattern Recognit. Lett..

Learning How to Extract Rotation-Invariant and Scale-Invariant Features from Texture Images

João Paulo Papa, Ricardo da Silva Torres, Alexandre X. Falcão, 2008, EURASIP J. Adv. Signal Process..

An Efficient Optimization Technique of EEG Decomposition for User Authentication System

Mohammed Azmi Al-Betar, Osama Ahmad Alomari, Ahamad Tajudin Khader, 2018, 2018 2nd International Conference on BioSignal Analysis, Processing and Systems (ICBAPS).

A Binary Krill Herd Approach for Feature Selection

Luis A. M. Pereira, Douglas Rodrigues, Luis A.M. Pereira, 2014, 2014 22nd International Conference on Pattern Recognition.

O^2PF: Oversampling via Optimum-Path Forest for Breast Cancer Detection

Thierry Pinheiro Moreira, Joao Papa, Leandro Passos, 2020, 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS).

Unsupervised Breast Masses Classification through Optimum-Path Forest

Roseli A. Francelin Romero, João Paulo Papa, Kelton A. P. Costa, 2015, 2015 IEEE 28th International Symposium on Computer-Based Medical Systems.

Does Removing Pooling Layers from Convolutional Neural Networks Improve Results?

João Paulo Papa, Danilo Colombo, Thierry Pinheiro Moreira, 2020, SN Computer Science.

A Hyperheuristic Approach for Unsupervised Land-Cover Classification

João Paulo Papa, Luciene P. Papa, Danillo Roberto Pereira, 2016, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Bag of Samplings for computer-assisted Parkinson's disease diagnosis based on Recurrent Neural Networks

Luiz C F Ribeiro, Luis C S Afonso, João P Papa, 2019, Comput. Biol. Medicine.

Fast Ensemble Learning Using Adversarially-Generated Restricted Boltzmann Machines pdf

Mateus Roder, Joao P. Papa, Gustavo H. de Rosa, 2021, ArXiv.

A Binary Cuckoo Search and Its Application for Feature Selection

Xin-She Yang, Douglas Rodrigues, Luis A. M. Pereira, 2014 .

A Review of Deep Learning-based Approaches for Deepfake Content Detection

J. Papa, Danilo Colombo, L. A. Passos, 2022, ArXiv.

Deep Regressor Networks for Blind Image Deblurring

J. Papa, L. A. Passos, R. G. Pires, 2021, 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS.

A New Parallel Training Algorithm for Optimum-Path Forest-Based Learning

João Paulo Papa, Aldo Culquicondor, César Castelo-Fernández, 2016, CIARP.

Social-Spider Optimization-Based Artificial Neural Networks Training and Its Applications for Parkinson's Disease Identification

Silke A.T. Weber, J.P. Papa, L.A.M. Pereira, 2014, 2014 IEEE 27th International Symposium on Computer-Based Medical Systems.

Harnessing Particle Swarm optimization Through Relativistic Velocity

André Luis Debiaso Rossi, Mateus Roder, Gustavo Henrique de Rosa, 2020, 2020 IEEE Congress on Evolutionary Computation (CEC).

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

Xin-She Yang, João Paulo Papa, Gustavo Henrique de Rosa, 2020, Appl. Soft Comput..

Choosing the Most Effective Pattern Classification Model under Learning-Time Constraint

Alexandre X. Falcão, Rodrigo Y. M. Nakamura, Priscila T. M. Saito, 2015, PloS one.

Classification of handwriting patterns in patients with Parkinson´s disease, using a biometric sensor

João Paulo Papa, Christian Hook, J. Papa, 2014 .

Scene Change Detection Using Multiscale Cascade Residual Convolutional Neural Networks

Danilo Colombo, Daniel F. S. Santos, Rafael G. Pires, 2020, 2020 33rd SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI).

Video Segmentation Learning Using Cascade Residual Convolutional Neural Network

Danilo Colombo, Daniel F. S. Santos, João P. Papa, 2019, 2019 32nd SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI).

Multiclass Oversampling via Optimum-Path Forest for Tree Species Classification from Street-view Perspectives

J. Papa, L. A. Passos, D. Jodas, 2022, SIBGRAPI Conference on Graphics, Patterns and Images.

OPFsemble: An Ensemble Pruning Approach via Optimum-Path Forest

J. Papa, D. Jodas, K. Costa, 2023, 2023 30th International Conference on Systems, Signals and Image Processing (IWSSIP).

A Deep Learning-based Approach for Tree Trunk Segmentation

João Paulo Papa, Danilo Samuel Jodas, Sergio Brazolin, 2021, 2021 34th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI).

OPFython: A Python implementation for Optimum-Path Forest

Gustavo de Rosa, J. Papa, 2021, Softw. Impacts.

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

Gustavo de Rosa, J. Papa, Mateus Roder, 2022, ArXiv.

Learning to weight similarity measures with Siamese networks: a case study on optimum-path forest

Gustavo H. de Rosa, J. Papa, 2022, Optimum-Path Forest.

Image categorization through optimum path forest and visual words

João Paulo Papa, Anderson Rocha, A. Rocha, 2011, 2011 18th IEEE International Conference on Image Processing.

Reinforcing learning in Deep Belief Networks through nature-inspired optimization

João Paulo Papa, Mateus Roder, Gustavo Henrique de Rosa, 2021, Appl. Soft Comput..

Evolving Long Short-Term Memory Networks

João Paulo Papa, Leandro Aparecido Passos, Vicente Coelho Lobo Neto, 2020, ICCS.

Evolving Neural Conditional Random Fields for drilling report classification

João Paulo Papa, Ivan Rizzo Guilherme, Luis Claudio Sugi Afonso, 2020 .

Opytimizer: A Nature-Inspired Python Optimizer

Gustavo de Rosa, J. Papa, 2019, ArXiv.

How optimizing perplexity can affect the dimensionality reduction on word embeddings visualization?

João Paulo Papa, Gustavo H. Rosa, José Remo Ferreira Brega, 2019, SN Applied Sciences.

Feature selection using geometric semantic genetic programming

João Paulo Papa, Gustavo H. Rosa, Luciene P. Papa, 2017, GECCO.

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

Xin-She Yang, João Paulo Papa, Gustavo H. Rosa, 2017, ArXiv.

WITHDRAWN: Computational methods for the image segmentation of pigmented skin lesions: A Review

João Paulo Papa, João Manuel R. S. Tavares, Roberta B. Oliveira, 2016 .

Nature-Inspired Framework for Hyperspectral Band Selection

Xin-She Yang, Rodrigo Nakamura, João Paulo Papa, 2014, IEEE Transactions on Geoscience and Remote Sensing.

A New Approach for Nontechnical Losses Detection Based on Optimum-Path Forest

C C O Ramos, A N de Sousa, J P Papa, 2011, IEEE Transactions on Power Systems.

Fast Non-Technical Losses Identification Through Optimum-Path Forest

Caio C. O. Ramos, Joao P. Papa, Alexandre X. Falcao, 2009, 2009 15th International Conference on Intelligent System Applications to Power Systems.

Fast Petroleum Well Drilling Monitoring Through Optimum-Path Forest

João Paulo Papa, Ivan Rizzo Guilherme, Aparecido Nilceu Marana, 2010, J. Next Gener. Inf. Technol..

Rotation-Invariant Texture Recognition

João Paulo Papa, Ricardo da Silva Torres, Alexandre X. Falcão, 2007, ISVC.

A Review of Deep Learning-based Approaches for Deepfake Content Detection

J. Papa, Danilo Colombo, L. A. Passos, 2022, ArXiv.

Aquatic weed automatic classification using machine learning techniques

João Paulo Papa, Rodrigo Y. M. Nakamura, Luis A. M. Pereira, 2012 .

Recent Advances in Brain Signal Analysis: Methods and Applications

João Paulo Papa, Plácido Rogério Pinheiro, João Manuel R. S. Tavares, 2016, Comput. Intell. Neurosci..

Barrett's Esophagus Identification Using Optimum-Path Forest

João Paulo Papa, Christoph Palm, Luis Claudio Sugi Afonso, 2017, 2017 30th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI).

Supervised Video Genre Classification Using Optimum-Path Forest

Jurandy Almeida, João Paulo Papa, Guilherme B. Martins, 2015, CIARP.

Deep Boltzmann machines for robust fingerprint spoofing attack detection

João Paulo Papa, Aparecido Nilceu Marana, Gustavo Botelho de Souza, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

EEG Feature Extraction for Person Identification Using Wavelet Decomposition and Multi-Objective Flower Pollination Algorithm

Mohammed Azmi Al-Betar, Osama Ahmad Alomari, Ahamad Tajudin Khader, 2018, IEEE Access.

Robust and fast Vowel Recognition Using Optimum-Path Forest

João Paulo Papa, Aparecido Nilceu Marana, Alexandre X. Falcão, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Editorial

Jaime S. Cardoso, J. Tavares, G. Carneiro, 2023 .

Intestinal Parasites Classification Using Deep Belief Networks pdf

João Paulo Papa, Mateus Roder, Alexandre X. Falcão, 2021, ICAISC.

Learnergy: Energy-based Machine Learners pdf

Mateus Roder, Gustavo Henrique de Rosa, Joao Paulo Papa, 2020, ArXiv.

κ-Entropy Based Restricted Boltzmann Machines

João Paulo Papa, Leandro Aparecido Passos, Thierry Pinheiro Moreira, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Convex restriction sets for CBERS‐2 satellite image restoration

Nelson D. A. Mascarenhas, João Paulo Papa, Leila Maria Garcia Fonseca, 2008 .

Boosting RAP-2 D Image Restoration Through Genetic Programming

J. Papa, 2008 .

Prototype Image Constraints Using Modified Inverse Filter for CBERS-2 Satellite Image Restoration

Leila Maria Garcia Fonseca, N. Mascarenhas, J. Papa, 2005 .

Multimodal Pattern Recognition Through Particle Swarm Optimization

Alexandre X. Falcão, João P. Papa, A. Falcão, 2010 .

How far did we get in face spoofing detection?

J. Papa, Luciano Oliveira, Luiz Souza, 2017, Eng. Appl. Artif. Intell..

Deep Texture Features for Robust Face Spoofing Detection

João Paulo Papa, Aparecido Nilceu Marana, Gustavo Botelho de Souza, 2017, IEEE Transactions on Circuits and Systems II: Express Briefs.

Recent Advances on optimum-Path Forest for Data Classification: Supervised, Semi-Supervised, and Unsupervised Learning

João Paulo Papa, Alexandre X. Falcão, João Manuel R. S. Tavares, 2016, Handbook of Pattern Recognition and Computer Vision.

Pruning optimum-path forest ensembles using metaheuristic optimization for land-cover classification

João Paulo Papa, Silas Evandro Nachif Fernandes, Danilo S. Gastaldello, 2017 .

Opposition-Based Jellyfish Search for Feature Selection

Danilo S. Gastaldello, J. Papa, A. Souza, 2023, 2023 30th International Conference on Systems, Signals and Image Processing (IWSSIP).

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

Mateus Roder, Gustavo Henrique de Rosa, João Paulo Papa, 2020, 2020 IEEE Congress on Evolutionary Computation (CEC).

Quaternionic Flower Pollination Algorithm

Xin-She Yang, Gustavo H. Rosa, Alexandro Baldassin, 2017, CAIP.

Adaptive Improved Flower Pollination Algorithm for Global Optimization

João Paulo Papa, Gustavo Henrique de Rosa, Douglas Rodrigues, 2020, Nature-Inspired Computation in Data Mining and Machine Learning.

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

João Paulo Papa, Gustavo H. Rosa, Mateus Roder, 2020, Deep Neural Evolution.

Fine-tuning restricted Boltzmann machines using quaternion-based flower pollination algorithm

João Paulo Papa, Gustavo H. Rosa, Leandro Aparecido Passos, 2020, Nature-Inspired Computation and Swarm Intelligence.

On the Hypercomplex-Based Search Spaces for Optimization Purposes

Xin-She Yang, João Paulo Papa, Gustavo H. Rosa, 2018 .

Fine-Tuning Infinity Restricted Boltzmann Machines

João Paulo Papa, Leandro Aparecido Passos, J. Papa, 2017, 2017 30th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI).

Analysis of porosity, stratigraphy, and structural delineation of a Brazilian carbonate field by machine learning techniques: A case study

João Paulo Papa, Michelle Chaves Kuroda, Alexandre Campane Vidal, 2016 .

Improving Parkinson's disease identification through evolutionary-based feature selection

João Paulo Papa, Alexandre X. Falcão, Rodrigo Capobianco Guido, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.