
João Paulo Papa
João P. Papa
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2020 – today
- 2021
- [c132]Robert Mendel, Luis Antônio de Souza Junior, David Rauber, João Paulo Papa, Christoph Palm:
Abstract: Semi-supervised Segmentation Based on Error-correcting Supervision. Bildverarbeitung für die Medizin 2021: 178 - [c131]Luis Antonio De Souza, Leandro A. Passos, Robert Mendel, Alanna Ebigbo, Andreas Probst, Helmut Messmann, Christoph Palm, João Paulo Papa:
Fine-tuning Generative Adversarial Networks using Metaheuristics - A Case Study on Barrett's Esophagus Identification. Bildverarbeitung für die Medizin 2021: 205-210 - [i20]Gustavo Henrique de Rosa, Mateus Roder, João P. Papa:
Fast Ensemble Learning Using Adversarially-Generated Restricted Boltzmann Machines. CoRR abs/2101.01042 (2021) - [i19]Gustavo Henrique de Rosa, João Paulo Papa, Xin-She Yang:
A Nature-Inspired Feature Selection Approach based on Hypercomplex Information. CoRR abs/2101.05652 (2021) - [i18]Leandro Aparecido Passos, Danilo Samuel Jodas, Luiz Carlos Felix Ribeiro, Thierry Pinheiro Moreira, João P. Papa:
O2PF: Oversampling via Optimum-Path Forest for Breast Cancer Detection. CoRR abs/2101.05775 (2021) - [i17]Leandro Aparecido Passos, João Paulo Papa:
A Metaheuristic-Driven Approach to Fine-Tune Deep Boltzmann Machines. CoRR abs/2101.05795 (2021) - [i16]Mateus Roder, Gustavo Henrique de Rosa, Victor Hugo C. de Albuquerque, André L. D. Rossi, João P. Papa:
Energy-based Dropout in Restricted Boltzmann Machines: Why not go random. CoRR abs/2101.06741 (2021) - [i15]Mateus Roder, Leandro A. Passos, Luiz Carlos Felix Ribeiro, Barbara Caroline Benato, Alexandre Xavier Falcão, João Paulo Papa:
Intestinal Parasites Classification Using Deep Belief Networks. CoRR abs/2101.06747 (2021) - [i14]Mateus Roder, Leandro A. Passos, Luiz Carlos Felix Ribeiro, Clayton R. Pereira, João Paulo Papa:
A Layer-Wise Information Reinforcement Approach to Improve Learning in Deep Belief Networks. CoRR abs/2101.06749 (2021) - [i13]Luis Antônio de Souza Junior, Luis C. S. Afonso, Alanna Ebigbo, Andreas Probst, Helmut Messmann, Robert Mendel, Christoph Palm, João P. Papa:
Learning Visual Representations with Optimum-Path Forest and its Applications to Barrett's Esophagus and Adenocarcinoma Diagnosis. CoRR abs/2101.07209 (2021) - [i12]Rafael Goncalves Pires, Daniel F. S. Santos, Marcos C. S. Santana, Cláudio F. G. Santos, João Paulo Papa:
Image Denoising using Attention-Residual Convolutional Neural Networks. CoRR abs/2101.07713 (2021) - [i11]Nathalia Q. Ascenção, Luis C. S. Afonso, Danilo Colombo, Luciano Oliveira, João P. Papa:
Information Ranking Using Optimum-Path Forest. CoRR abs/2102.07917 (2021) - [i10]Luis C. S. Afonso, Clayton R. Pereira, Silke A. T. Weber, Christian Hook, Alexandre X. Falcão, João P. Papa:
Hierarchical Learning Using Deep Optimum-Path Forest. CoRR abs/2102.09312 (2021) - 2020
- [j98]Douglas Rodrigues, Victor Hugo C. de Albuquerque
, João Paulo Papa
:
A multi-objective artificial butterfly optimization approach for feature selection. Appl. Soft Comput. 94: 106442 (2020) - [j97]Gustavo Henrique de Rosa
, João P. Papa, Xin-She Yang
:
A nature-inspired feature selection approach based on hypercomplex information. Appl. Soft Comput. 94: 106453 (2020) - [j96]Leandro Aparecido Passos
, João Paulo Papa:
A metaheuristic-driven approach to fine-tune Deep Boltzmann Machines. Appl. Soft Comput. 97(Part): 105717 (2020) - [j95]Kelton A. P. da Costa, João P. Papa, Leandro A. Passos
, Danilo Colombo, Javier Del Ser
, Khan Muhammad, Victor Hugo C. de Albuquerque
:
A critical literature survey and prospects on tampering and anomaly detection in image data. Appl. Soft Comput. 97(Part): 106727 (2020) - [j94]Luis Antônio de Souza Junior, Leandro A. Passos, Robert Mendel, Alanna Ebigbo, Andreas Probst, Helmut Messmann, Christoph Palm, João P. Papa:
Assisting Barrett's esophagus identification using endoscopic data augmentation based on Generative Adversarial Networks. Comput. Biol. Medicine 126: 104029 (2020) - [j93]Gustavo Carneiro, João Manuel R. S. Tavares
, Andrew P. Bradley, João Paulo Papa, Vasileios Belagiannis, Jacinto C. Nascimento, Zhi Lu:
Special issue: 4th MICCAI workshop on deep learning in medical image analysis. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 8(5): 501 (2020) - [j92]Guilherme B. Martins, João Paulo Papa, Hojjat Adeli
:
Deep learning techniques for recommender systems based on collaborative filtering. Expert Syst. J. Knowl. Eng. 37(6) (2020) - [j91]Marcos C. S. Santana, Leandro Aparecido Passos Júnior
, Thierry Pinheiro Moreira, Danilo Colombo, Victor Hugo C. de Albuquerque, João Paulo Papa:
A Novel Siamese-Based Approach for Scene Change Detection With Applications to Obstructed Routes in Hazardous Environments. IEEE Intell. Syst. 35(1): 44-53 (2020) - [j90]Aldo Culquicondor, Alexandro Baldassin
, César Castelo-Fernández, João P. L. de Carvalho, João Paulo Papa
:
An efficient parallel implementation for training supervised optimum-path forest classifiers. Neurocomputing 393: 259-268 (2020) - [j89]Luis C. S. Afonso, Clayton R. Pereira, Silke A. T. Weber
, Christian Hook, Alexandre X. Falcão, João P. Papa:
Hierarchical learning using deep optimum-path forest. J. Vis. Commun. Image Represent. 71: 102823 (2020) - [j88]Guilherme B. Martins, Danillo Roberto Pereira, Jurandy Gomes de Almeida Junior
, Victor Hugo C. de Albuquerque
, João Paulo Papa:
OPFSumm: on the video summarization using Optimum-Path Forest. Multim. Tools Appl. 79(15-16): 11195-11211 (2020) - [j87]Luis Antonio De Souza
, Luis Claudio Sugi Afonso, Alanna Ebigbo, Andreas Probst, Helmut Messmann, Robert Mendel, Christian Hook, Christoph Palm
, João P. Papa
:
Learning visual representations with optimum-path forest and its applications to Barrett's esophagus and adenocarcinoma diagnosis. Neural Comput. Appl. 32(3): 759-775 (2020) - [j86]Danilo R. Pereira, Marco Antonio Piteri, André N. de Souza, João Paulo Papa
, Hojjat Adeli:
FEMa: a finite element machine for fast learning. Neural Comput. Appl. 32(10): 6393-6404 (2020) - [j85]Danilo Colombo, Gilson Brito Alves Lima, Danillo Roberto Pereira, João P. Papa
:
Regression-based finite element machines for reliability modeling of downhole safety valves. Reliab. Eng. Syst. Saf. 198: 106894 (2020) - [j84]Claudio Filipi Goncalves dos Santos
, Thierry Pinheiro Moreira, Danilo Colombo, João Paulo Papa:
Does Removing Pooling Layers from Convolutional Neural Networks Improve Results? SN Comput. Sci. 1(5): 275 (2020) - [j83]Renato William R. de Souza, João Vitor Chaves de Oliveira
, Leandro A. Passos
, Weiping Ding
, João P. Papa
, Victor Hugo C. de Albuquerque
:
A Novel Approach for Optimum-Path Forest Classification Using Fuzzy Logic. IEEE Trans. Fuzzy Syst. 28(12): 3076-3086 (2020) - [c130]Henrique Leal Tavares, João Baptista Cardia Neto, João Paulo Papa, Danilo Colombo, Aparecido Nilceu Marana:
People Identification Based on Soft Biometrics Features Obtained from 2D Poses. BRACIS 2020: 318-332 - [c129]Claudio Filipi Goncalves dos Santos, Luis Claudio Sugi Afonso, Clayton Reginaldo Pereira, João Paulo Papa:
BreastNet: Breast Cancer Categorization Using Convolutional Neural Networks. CBMS 2020: 463-468 - [c128]Leandro A. Passos
, Danilo S. Jodas, Luiz Carlos Felix Ribeiro, Thierry Pinheiro Moreira, João Paulo Papa:
O^2PF: Oversampling via Optimum-Path Forest for Breast Cancer Detection. CBMS 2020: 498-503 - [c127]Mateus Roder, Gustavo Henrique de Rosa, João Paulo Papa, Fabricio Aparecido Breve:
Fine-Tuning Temperatures in Restricted Boltzmann Machines Using Meta-Heuristic Optimization. CEC 2020: 1-8 - [c126]Mateus Roder, Gustavo Henrique de Rosa, Leandro Aparecido Passos
, João Paulo Papa, André Luis Debiaso Rossi:
Harnessing Particle Swarm optimization Through Relativistic Velocity. CEC 2020: 1-8 - [c125]Robert Mendel, Luis Antonio De Souza, David Rauber, João Paulo Papa, Christoph Palm:
Semi-supervised Segmentation Based on Error-Correcting Supervision. ECCV (29) 2020: 141-157 - [c124]Mateus Roder
, Leandro A. Passos
, Luiz Carlos Felix Ribeiro
, Clayton R. Pereira
, João Paulo Papa
:
A Layer-Wise Information Reinforcement Approach to Improve Learning in Deep Belief Networks. ICAISC (1) 2020: 231-241 - [c123]Mateus Roder
, Leandro A. Passos
, Luiz Carlos Felix Ribeiro
, Barbara Caroline Benato
, Alexandre Xavier Falcão
, João Paulo Papa
:
Intestinal Parasites Classification Using Deep Belief Networks. ICAISC (1) 2020: 242-251 - [c122]Thiago José Lucas, Carlos Alexandre Carvalho Tojeiro, Rafael Goncalves Pires, Kelton Augusto Pontara da Costa, João Paulo Papa:
Machine Learning for Web Intrusion Detection: A Comparative Analysis of Feature Selection Methods mRMR and PFI. ICAISC (1) 2020: 535-546 - [c121]Vicente Coelho Lobo Neto
, Leandro Aparecido Passos
, João Paulo Papa
:
Evolving Long Short-Term Memory Networks. ICCS (2) 2020: 337-350 - [c120]Nathalia Q. Ascenção, Luis C. S. Afonso, Danilo Colombo, Luciano Oliveira, João P. Papa:
Information Ranking Using Optimum-Path Forest. IJCNN 2020: 1-8 - [c119]Jefferson Fontinele, Marcelo Mendonça, Marco Ruiz, João P. Papa, Luciano Oliveira:
Faster α-expansion via dynamic programming and image partitioning. IJCNN 2020: 1-8 - [c118]Rafael Goncalves Pires, Daniel F. S. Santos, Cláudio F. G. Santos, Marcos C. S. Santana, João P. Papa:
Image Denoising using Attention-Residual Convolutional Neural Networks. SIBGRAPI 2020: 101-107 - [c117]Daniel F. S. Santos, Rafael Goncalves Pires, Danilo Colombo, João P. Papa:
Scene Change Detection Using Multiscale Cascade Residual Convolutional Neural Networks. SIBGRAPI 2020: 108-115 - [c116]Leonardo Tadeu Lopes, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Ivan Rizzo Guilherme, João Paulo Papa, Marcos Cleison Silva Santana, Danilo Colombo:
Manifold Learning-based Clustering Approach Applied to Anomaly Detection in Surveillance Videos. VISIGRAPP (5: VISAPP) 2020: 404-412 - [p4]Douglas Rodrigues, Gustavo Henrique de Rosa
, Leandro Aparecido Passos
, João Paulo Papa:
Adaptive Improved Flower Pollination Algorithm for Global Optimization. Nature-Inspired Computation in Data Mining and Machine Learning 2020: 1-21 - [i9]Gustavo Henrique de Rosa
, João Paulo Papa, Alexandre Xavier Falcão:
OPFython: A Python-Inspired Optimum-Path Forest Classifier. CoRR abs/2001.10420 (2020) - [i8]Mateus Roder, Gustavo Henrique de Rosa
, João Paulo Papa:
Learnergy: Energy-based Machine Learners. CoRR abs/2003.07443 (2020) - [i7]Claudio Filipi Goncalves dos Santos, Danilo Colombo, Mateus Roder, João Paulo Papa:
MaxDropout: Deep Neural Network Regularization Based on Maximum Output Values. CoRR abs/2007.13723 (2020)
2010 – 2019
- 2019
- [j82]Adriana S. Iwashita
, João Paulo Papa:
An Overview on Concept Drift Learning. IEEE Access 7: 1532-1547 (2019) - [j81]Clayton R. Pereira
, Danilo R. Pereira, Silke A. T. Weber
, Christian Hook
, Victor Hugo C. de Albuquerque
, João P. Papa
:
A survey on computer-assisted Parkinson's Disease diagnosis. Artif. Intell. Medicine 95: 48-63 (2019) - [j80]Parham Khojasteh, Leandro A. Passos Junior
, Tiago J. Carvalho
, Edmar R. S. Rezende
, Behzad Aliahmad, João Paulo Papa, Dinesh Kant Kumar
:
Exudate detection in fundus images using deeply-learnable features. Comput. Biol. Medicine 104: 62-69 (2019) - [j79]Luiz Carlos Felix Ribeiro, Luis Claudio Sugi Afonso, João P. Papa:
Bag of Samplings for computer-assisted Parkinson's disease diagnosis based on Recurrent Neural Networks. Comput. Biol. Medicine 115 (2019) - [j78]Willian Paraguassu Amorim, Everton Castelao Tetila
, Hemerson Pistori
, João Paulo Papa:
Semi-supervised learning with convolutional neural networks for UAV images automatic recognition. Comput. Electron. Agric. 164 (2019) - [j77]Gustavo Carneiro
, João Manuel R. S. Tavares
, Andrew P. Bradley, João Paulo Papa, Jacinto C. Nascimento, Jaime S. Cardoso
, Zhi Lu, Vasileios Belagiannis
:
Editorial. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 7(3): 241 (2019) - [j76]Kelton A. P. da Costa, João P. Papa
, Celso O. Lisboa, Roberto Muñoz
, Victor Hugo C. de Albuquerque
:
Internet of Things: A survey on machine learning-based intrusion detection approaches. Comput. Networks 151: 147-157 (2019) - [j75]Luis Claudio Sugi Afonso
, Gustavo H. Rosa
, Clayton R. Pereira, Silke A. T. Weber
, Christian Hook, Victor Hugo C. de Albuquerque
, João P. Papa
:
A recurrence plot-based approach for Parkinson's disease identification. Future Gener. Comput. Syst. 94: 282-292 (2019) - [j74]Adriana S. Iwashita, Victor Hugo C. de Albuquerque
, João Paulo Papa
:
Learning concept drift with ensembles of optimum-path forest-based classifiers. Future Gener. Comput. Syst. 95: 198-211 (2019) - [j73]Luis Alexandre da Silva
, Kelton A. P. da Costa
, João P. Papa, Gustavo H. Rosa
, Victor Hugo C. de Albuquerque
:
Fine-tuning restricted Boltzmann machines using quaternions and its application for spam detection. IET Networks 8(3): 164-168 (2019) - [j72]Gustavo Botelho de Souza, Daniel Felipe Silva Santos, Rafael Goncalves Pires, Aparecido Nilceu Marana, João Paulo Papa:
Deep Features Extraction for Robust Fingerprint Spoofing Attack Detection. J. Artif. Intell. Soft Comput. Res. 9(1): 41-49 (2019) - [j71]Leandro A. Passos
, Luis Antônio de Souza Junior, Robert Mendel, Alanna Ebigbo, Andreas Probst, Helmut Messmann, Christoph Palm, João Paulo Papa:
Barrett's esophagus analysis using infinity Restricted Boltzmann Machines. J. Vis. Commun. Image Represent. 59: 475-485 (2019) - [j70]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
:
Automated recognition of lung diseases in CT images based on the optimum-path forest classifier. Neural Comput. Appl. 31(S-2): 901-914 (2019) - [j69]Luis A. M. Pereira, João P. Papa
, André L. V. Coelho
, Clodoaldo Ap. M. Lima, Danillo Roberto Pereira, Victor Hugo C. de Albuquerque:
Automatic identification of epileptic EEG signals through binary magnetic optimization algorithms. Neural Comput. Appl. 31(S-2): 1317-1329 (2019) - [j68]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:
Intelligent Network Security Monitoring Based on Optimum-Path Forest Clustering. IEEE Netw. 33(2): 126-131 (2019) - [j67]Silas Evandro Nachif Fernandes, João Paulo Papa
:
Improving optimum-path forest learning using bag-of-classifiers and confidence measures. Pattern Anal. Appl. 22(2): 703-716 (2019) - [j66]Willian Paraguassu Amorim, Gustavo Henrique Rosa
, Rogério Thomazella
, José Eduardo Cogo Castanho, Fábio Romano Lofrano Dotto, Oswaldo Pons Rodrigues Júnior, Aparecido Nilceu Marana, João Paulo Papa
:
Semi-supervised learning with connectivity-driven convolutional neural networks. Pattern Recognit. Lett. 128: 16-22 (2019) - [j65]Silas Evandro Nachif Fernandes
, Danillo Roberto Pereira, Caio C. O. Ramos
, André N. de Souza, Danilo S. Gastaldello, João P. Papa
:
A Probabilistic Optimum-Path Forest Classifier for Non-Technical Losses Detection. IEEE Trans. Smart Grid 10(3): 3226-3235 (2019) - [c115]Leandro Aparecido Passos
, Douglas Rodrigues, João Paulo Papa:
Quaternion-Based Backtracking Search Optimization Algorithm. CEC 2019: 3014-3021 - [c114]Claudio Filipi Goncalves dos Santos, Thierry Pinheiro Moreira, Danilo Colombo, João Paulo Papa:
Does Pooling Really Matter? An Evaluation on Gait Recognition. CIARP 2019: 751-760 - [c113]Rafael Goncalves Pires
, Daniel Felipe Silva Santos
, Gustavo Botelho de Souza
, Alexandre L. M. Levada
, João Paulo Papa
:
A Sparse Filtering-Based Approach for Non-blind Deep Image Denoising. ICANN (Workshop) 2019: 471-482 - [c112]Luis Claudio Sugi Afonso, Danilo Colombo, Clayton R. Pereira, Kelton A. P. Costa, João P. Papa:
Multiple-Instance Learning through Optimum-Path Forest. IJCNN 2019: 1-7 - [c111]Leandro Aparecido Passos
, Marcos Cleison Silva Santana, Thierry Pinheiro Moreira, João Paulo Papa:
κ-Entropy Based Restricted Boltzmann Machines. IJCNN 2019: 1-8 - [c110]Daniel F. S. Santos, Rafael Goncalves Pires, Danilo Colombo, João P. Papa:
Video Segmentation Learning Using Cascade Residual Convolutional Neural Network. SIBGRAPI 2019: 1-7 - [i6]Gustavo Henrique de Rosa
, João P. Papa:
Opytimizer: A Nature-Inspired Python Optimizer. CoRR abs/1912.13002 (2019) - 2018
- [j64]Zaid Abdi Alkareem Alyasseri
, Ahamad Tajudin Khader, Mohammed Azmi Al-Betar
, João Paulo Papa, Osama Ahmad Alomari:
EEG Feature Extraction for Person Identification Using Wavelet Decomposition and Multi-Objective Flower Pollination Algorithm. IEEE Access 6: 76007-76024 (2018) - [j63]Clayton R. Pereira, Danilo R. Pereira, Gustavo H. Rosa
, Victor Hugo C. de Albuquerque
, Silke A. T. Weber
, Christian Hook, João P. Papa:
Handwritten dynamics assessment through convolutional neural networks: An application to Parkinson's disease identification. Artif. Intell. Medicine 87: 67-77 (2018) - [j62]Luis Antonio De Souza, Christoph Palm
, Robert Mendel, Christian Hook, Alanna Ebigbo, Andreas Probst, Helmut Messmann, Silke A. T. Weber
, João P. Papa:
A survey on Barrett's esophagus analysis using machine learning. Comput. Biol. Medicine 96: 203-213 (2018) - [j61]Danillo Roberto Pereira, João Paulo Papa, Gustavo Francisco Rosalin Saraiva, Gustavo Maia Souza:
Automatic classification of plant electrophysiological responses to environmental stimuli using machine learning and interval arithmetic. Comput. Electron. Agric. 145: 35-42 (2018) - [j60]João P. Papa
, Gustavo H. Rosa
, André N. de Souza, Luis Claudio Sugi Afonso:
Feature selection through binary brain storm optimization. Comput. Electr. Eng. 72: 468-481 (2018) - [j59]Eduardo Cabal-Yepez, Guillermo Botella, Amir Hooshang Mazinan, João P. Papa:
Introduction to the special section on Image and Video Processing. Comput. Electr. Eng. 72: 1037-1041 (2018) - [j58]Gustavo Carneiro
, João Manuel R. S. Tavares
, Andrew P. Bradley
, João Paulo Papa, Jacinto C. Nascimento, Jaime S. Cardoso
, Zhi Lu, Vasileios Belagiannis
:
1st MICCAI workshop on deep learning in medical image analysis. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 6(3): 241-242 (2018) - [j57]Luiz Souza, Luciano Oliveira, Mauricio Pamplona
, João P. Papa:
How far did we get in face spoofing detection? Eng. Appl. Artif. Intell. 72: 368-381 (2018) - [j56]Luis Claudio Sugi Afonso, Mateus Basso
, Michelle Kuroda, Alexandre Campane Vidal, João P. Papa
:
A fast approach for unsupervised karst feature identification using GPU. Comput. Geosci. 119: 1-8 (2018) - [j55]Willian Paraguassu Amorim, Alexandre X. Falcão, João P. Papa
:
Multi-label semi-supervised classification through optimum-path forest. Inf. Sci. 465: 86-104 (2018) - [j54]Roberta B. Oliveira
, João P. Papa, Aledir Silveira Pereira, João Manuel R. S. Tavares
:
Computational methods for pigmented skin lesion classification in images: review and future trends. Neural Comput. Appl. 29(3): 613-636 (2018) - [j53]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
:
Robust automated cardiac arrhythmia detection in ECG beat signals. Neural Comput. Appl. 29(3): 679-693 (2018) - [j52]Leandro Aparecido Passos
, João Paulo Papa:
Temperature-Based Deep Boltzmann Machines. Neural Process. Lett. 48(1): 95-107 (2018) - [j51]Gustavo H. Rosa
, João P. Papa
, Xin-She Yang:
Handling dropout probability estimation in convolution neural networks using meta-heuristics. Soft Comput. 22(18): 6147-6156 (2018) - [j50]Caio C. O. Ramos
, Douglas Rodrigues, André N. de Souza, João Paulo Papa:
On the Study of Commercial Losses in Brazil: A Binary Black Hole Algorithm for Theft Characterization. IEEE Trans. Smart Grid 9(2): 676-683 (2018) - [c109]Gustavo Botelho de Souza, Daniel Felipe Silva Santos, Rafael Goncalves Pires, João Paulo Papa, Aparecido Nilceu Marana:
Efficient Width-Extended Convolutional Neural Network for Robust Face Spoofing Detection. BRACIS 2018: 230-235 - [c108]Zaid Abdi Alkareem Alyasseri
, Ahamad Tajudin Khader, Mohammed Azmi Al-Betar
, João P. Papa, Osama Ahmad Alomari:
EEG-based Person Authentication Using Multi-objective Flower Pollination Algorithm. CEC 2018: 1-8 - [c107]Luis Claudio Sugi Afonso, Daniel Carlos Guimarães Pedronette, André N. de Souza, João Paulo Papa:
Improving Optimum- Path Forest Classification Using Unsupervised Manifold Learning. ICPR 2018: 560-565 - [c106]Danillo Roberto Pereira, João P. Papa, Luciene P. Papa, Rodrigo Jose Pisani:
Land-Use Classification using Finite Element Machines. IGARSS 2018: 7316-7319 - [c105]Rogério Thomazella, José E. C. Castanho, Fébio R. L. Dotto, Oswaldo Pons Rodrigues Júnior, Gustavo Henrique Rosa
, Aparecido Nilceu Marana, João P. Papa:
Environmental Monitoring Using Drone Images and Convolutional Neural Networks. IGARSS 2018: 8941-8944 - [c104]Danillo Roberto Pereira, Pedro Pedrosa Rebouças Filho
, Gustavo Henrique de Rosa
, João Paulo Papa, Victor Hugo C. de Albuquerque:
Stroke Lesion Detection Using Convolutional Neural Networks. IJCNN 2018: 1-6 - [c103]Gustavo José de Sousa, Daniel Carlos Guimarães Pedronette, Alexandro Baldassin, P. I. M. Privatto, M. Gaseta, Ivan Rizzo Guilherme, Danilo Colombo, Luis Claudio Sugi Afonso, João P. Papa:
Pattern Analysis in Drilling Reports using Optimum-Path Forest. IJCNN 2018: 1-8 - [c102]Luis Claudio Sugi Afonso, Leandro A. Passos
, João Paulo Papa:
Enhancing Brain Storm Optimization Through Optimum-Path Forest. SACI 2018: 183-188 - [c101]Luiz Fernandoda Silva Cieslak, Kelton Augusto Pontara da Costa, João Paulo Papa:
Seam Carving Detection Using Convolutional Neural Networks. SACI 2018: 195-200 - [c100]Leandro A. Passos
, Clayton R. Pereira, Edmar R. S. Rezende
, Tiago J. Carvalho
, Silke A. T. Weber
, Christian Hook, João P. Papa:
Parkinson Disease Identification Using Residual Networks and Optimum-Path Forest. SACI 2018: 325-330 - [c99]Leandro A. Passos
, Douglas R. Rodrigues, João P. Papa:
Fine Tuning Deep Boltzmann Machines Through Meta-Heuristic Approaches. SACI 2018: 419-424 - [c98]Luiz Carlos Felix Ribeiro, João Paulo Papa:
Unsupervised Dialogue Act Classification with Optimum-Path Forest. SIBGRAPI 2018: 25-32 - [c97]Luis Souza
, Alanna Ebigbo, Andreas Probst, Helmut Messmann, João Paulo Papa, Robert Mendel, Christoph Palm:
Barrett's Esophagus Identification Using Color Co-Occurrence Matrices. SIBGRAPI 2018: 166-173 - [c96]Gustavo Botelho de Souza, João Paulo Papa, Aparecido Nilceu Marana:
On the Learning of Deep Local Features for Robust Face Spoofing Detection. SIBGRAPI 2018: 258-265 - [e3]Danail Stoyanov, Zeike Taylor, Gustavo Carneiro, Tanveer F. Syeda-Mahmood, Anne L. Martel, Lena Maier-Hein, João Manuel R. S. Tavares, Andrew P. Bradley, João Paulo Papa, Vasileios Belagiannis, Jacinto C. Nascimento, Zhi Lu, Sailesh Conjeti, Mehdi Moradi, Hayit Greenspan, Anant Madabhushi:
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. Lecture Notes in Computer Science 11045, Springer 2018, ISBN 978-3-030-00888-8 [contents] - [i5]Gustavo Botelho de Souza, João Paulo Papa, Aparecido Nilceu Marana:
On the Learning of Deep Local Features for Robust Face Spoofing Detection. CoRR abs/1806.07492 (2018) - 2017
- [j49]João Paulo Papa
, Gustavo H. Rosa
, Danillo Roberto Pereira, Xin-She Yang:
Quaternion-based Deep Belief Networks fine-tuning. Appl. Soft Comput. 60: 328-335 (2017) - [j48]Eduardo Cabal-Yepez, Guillermo Botella, Amir Hooshang Mazinan, João Paulo Papa:
Introduction to the special section on Image and Video Processing. Comput. Electr. Eng. 62: 64-67 (2017) - [j47]Douglas Rodrigues, João P. Papa, Hojjat Adeli:
Meta-heuristic multi- and many-objective optimization techniques for solution of machine learning problems. Expert Syst. J. Knowl. Eng. 34(6) (2017) - [j46]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
:
Embedded real-time speed limit sign recognition using image processing and machine learning techniques. Neural Comput. Appl. 28(S-1): 573-584 (2017) - [j45]João Paulo Papa, Ryan Farrell:
Editorial: Special Section on deep image and video understanding. Pattern Recognit. 61: 537-538 (2017) - [j44]João Paulo Papa
, Silas Evandro Nachif Fernandes, Alexandre Xavier Falcão:
Optimum-Path Forest based on k-connectivity: Theory and applications. Pattern Recognit. Lett. 87: 117-126 (2017) - [j43]João Paulo Papa, Gustavo Henrique Rosa
, Luciene P. Papa:
A binary-constrained Geometric Semantic Genetic Programming for feature selection purposes. Pattern Recognit. Lett. 100: 59-66 (2017) - [j42]Danillo Roberto Pereira, Rodrigo Jose Pisani, André N. de Souza, João P. Papa:
An Ensemble-Based Stacked Sequential Learning Algorithm for Remote Sensing Imagery Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(4): 1525-1541 (2017) - [j41]Gustavo Botelho de Souza
, Daniel Felipe Silva Santos, Rafael Goncalves Pires, Aparecido Nilceu Marana
, João Paulo Papa:
Deep Texture Features for Robust Face Spoofing Detection. IEEE Trans. Circuits Syst. II Express Briefs 64-II(12): 1397-1401 (2017) - [c95]Luis Souza, Christian Hook, João Paulo Papa, Christoph Palm
:
Barrett's Esophagus Analysis Using SURF Features. Bildverarbeitung für die Medizin 2017: 141-146 - [c94]Gustavo H. Rosa
, Luis Claudio Sugi Afonso, Alexandro Baldassin, João P. Papa, Xin-She Yang:
Quaternionic Flower Pollination Algorithm. CAIP (2) 2017: 47-58 - [c93]Clayton R. Pereira, Leandro A. Passos
, Ricardo R. Lopes
, Silke A. T. Weber
, Christian Hook, João Paulo Papa:
Parkinson's Disease Identification Using Restricted Boltzmann Machines. CAIP (2) 2017: 70-80 - [c92]