João P. Papa

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 106

Top Venues

CoRR

CIARP

Neural Comput. Appl.

Comput. Biol. Medicine

Publications

Guilherme C. Oliveira, Gustavo H. Rosa, Daniel C. G. Pedronette, João P. Papa, Himeesh Kumar, Leandro A. Passos, Dinesh Kant Kumar
Robust deep learning for eye fundus images: Bridging real and synthetic data for enhancing generalization. Biomed. Signal Process. Control. 94 (2024)
Guilherme C. Oliveira, Nemuel Daniel Pah, Quoc Cuong Ngo, João P. Papa, Dinesh Kant Kumar
NestNeuro: Leveraging Chatbots for Vocal Screening. CBMS (2024)
Guilherme C. Oliveira, Quoc Cuong Ngo, João P. Papa, Dinesh Kant Kumar
A Stable Diffusion Approach for RGB to Thermal Image Conversion for Leg Ulcer Assessment. CBMS (2024)
Guilherme C. Oliveira, Quoc Cuong Ngo, Leandro A. Passos, Leonardo S. Oliveira, João P. Papa, Dinesh Kant Kumar
Facial expressions to identify post-stroke: A pilot study. Comput. Methods Programs Biomed. 250 (2024)
Daniel Felipe Silva Santos, Rafael Goncalves Pires, João P. Papa
Deblur Capsule Networks. CIARP (2023)
Daniel F. S. Santos, João P. Papa
TITAN: A LighTweIght Temporal Attention Network for Remote Sensing Image Change Detection. IEEE Geosci. Remote. Sens. Lett. 20 (2023)
Gabriel Lino Garcia, Luis C. S. Afonso, Leandro A. Passos, Danilo S. Jodas, Kelton A. P. da Costa, João P. Papa
FakeRecogna Anomaly: Fake News Detection in a New Brazilian Corpus. VISIGRAPP (4: VISAPP) (2023)
Robert Mendel, David Rauber, Luis Antonio De Souza, João P. Papa, Christoph Palm
Error-Correcting Mean-Teacher: Corrections instead of consistency-targets applied to semi-supervised medical image segmentation. Comput. Biol. Medicine 154 (2023)
Guilherme C. Oliveira, Quoc Cuong Ngo, Leandro A. Passos, João P. Papa, Danilo S. Jodas, Dinesh K. Kumar
Tabular data augmentation for video-based detection of hypomimia in Parkinson's disease. Comput. Methods Programs Biomed. 240 (2023)
Luiz Carlos Felix Ribeiro, Mateus Roder, Gustavo H. de Rosa, Leandro A. Passos, João P. Papa
Enhancing Hyper-To-Real Space Projections Through Euclidean Norm Meta-Heuristic Optimization. CoRR (2023)
Mohammad Mehedi Hassan, Salman A. AlQahtani, Abdulhameed Alelaiwi, João P. Papa
Explaining COVID-19 diagnosis with Taylor decompositions. Neural Comput. Appl. 35 (30) (2023)
Edwin Prem Kumar Gilbert, A. Immanuel Selvakumar, M. Lydia, Baskaran Kaliaperumal, Danilo Samuel Jodas, Leandro A. Passos, João P. Papa
A Historic-Best Particle Swarm Optimization Approach for Trust-based Routing in Smart Grid Networks. IWSSIP (2023)
M. Lydia, Edwin Prem Kumar Gilbert, Akash Ravichandran, Guilherme Brandão Martins, Leandro A. Passos, João P. Papa
Temporal Dengue Outbreak Prediction from Climatic Variables using Finite Element Machines for Regression. IWSSIP (2023)
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. CoRR (2022)
Mateus Roder, Gustavo Henrique de Rosa, Victor Hugo C. de Albuquerque, André L. D. Rossi, João P. Papa
Energy-Based Dropout in Restricted Boltzmann Machines: Why Not Go Random. IEEE Trans. Emerg. Top. Comput. Intell. 6 (2) (2022)
Gabriel L. Garcia, Luis C. S. Afonso, João P. Papa
FakeRecogna: A New Brazilian Corpus for Fake News Detection. PROPOR (2022)
Guilherme C. Oliveira, Gustavo H. Rosa, Daniel C. G. Pedronette, João P. Papa, Himeesh Kumar, Leandro A. Passos, Dinesh Kant Kumar
Which Generative Adversarial Network Yields High-Quality Synthetic Medical Images: Investigation Using AMD Image Datasets. CoRR (2022)
Lucas Biaggi, João P. Papa, Kelton A. P. Costa, Danillo Roberto Pereira, Leandro A. Passos
FEMa-FS: Finite Element Machines for Feature Selection. CoRR (2022)
Luiz H. Buris, Daniel C. G. Pedronette, João P. Papa, Jurandy Almeida, Gustavo Carneiro, Fábio Augusto Faria
Mixup-based Deep Metric Learning Approaches for Incomplete Supervision. CoRR (2022)
Talita A. Pereira, Regina C. Popim, Leandro A. Passos, Danillo Roberto Pereira, Clayton R. Pereira, João P. Papa
ComplexWoundDB: A Database for Automatic Complex Wound Tissue Categorization. IWSSIP (2022)
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
PetroBERT: A Domain Adaptation Language Model for Oil and Gas Applications in Portuguese. PROPOR (2022)
Pedro H. Paiola, Gustavo H. de Rosa, João P. Papa
Deep Learning-Based Abstractive Summarization for Brazilian Portuguese Texts. BRACIS (2) (2022)
Daniel F. S. Santos, Rafael Gonçalves Pires, Danilo Colombo, João P. Papa
Scene Change Detection Using Multiscale Cascade Residual Convolutional Neural Networks. CoRR (2022)
Talita A. Pereira, Regina C. Popim, Leandro A. Passos, Danillo Roberto Pereira, Clayton R. Pereira, João P. Papa
ComplexWoundDB: A Database for Automatic Complex Wound Tissue Categorization. CoRR (2022)
Paulo R. Galego Hernandes Junior, Rafal Scherer, Lucas B. Januario, Douglas Rodrigues, João P. Papa, Kelton A. P. Costa
From Network Package Flow to Images: How to Accurately Detect Anomalies in Computer Networks. IWSSIP (2022)
Zaid Abdi Alkareem Alyasseri, Osama Ahmad Alomari, João P. Papa, Mohammed Azmi Al-Betar, Karrar Hameed Abdulkareem, Mazin Abed Mohammed, Seifedine Kadry, Orawit Thinnukool, Pattaraporn Khuwuthyakorn
EEG Channel Selection Based User Identification via Improved Flower Pollination Algorithm. Sensors 22 (6) (2022)
Lucas Biaggi, João P. Papa, Kelton A. P. Costa, Danillo Roberto Pereira, Leandro A. Passos
FEMa-FS: Finite Element Machines for Feature Selection. ICPR (2022)
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
EEG Channel Selection for Person Identification Using Binary Grey Wolf Optimizer. IEEE Access 10 (2022)
Daniel F. S. Santos, Rafael Gonçalves Pires, Danilo Colombo, João P. Papa
Video Segmentation Learning Using Cascade Residual Convolutional Neural Network. CoRR (2022)
Daniel F. S. Santos, Rafael Gonçalves Pires, Leandro A. Passos, João P. Papa
DDIPNet and DDIPNet+: Discriminant Deep Image Prior Networks for Remote Sensing Image Classification. CoRR (2022)
Luiz H. Buris, Daniel C. G. Pedronette, João P. Papa, Jurandy Almeida, Gustavo Carneiro, Fábio A. Faria
Mixup-Based Deep Metric Learning Approaches for Incomplete Supervision. ICIP (2022)
Mateus Roder, Jurandy Almeida, Gustavo H. de Rosa, Leandro A. Passos, André L. D. Rossi, João P. Papa
From Actions to Events: A Transfer Learning Approach Using Improved Deep Belief Networks. CoRR (2022)
Luiz Carlos Felix Ribeiro, Gustavo H. de Rosa, Douglas Rodrigues, João P. Papa
Convolutional neural networks ensembles through single-iteration optimization. Soft Comput. 26 (8) (2022)
Gustavo H. de Rosa, Mateus Roder, João P. Papa
Neighbour-based bag-of-samplings for person identification through handwritten dynamics and convolutional neural networks. Expert Syst. J. Knowl. Eng. 39 (4) (2022)
Claudio Filipi Goncalves dos Santos, Mateus Roder, Leandro A. Passos, João P. Papa
MaxDropoutV2: An Improved Method to Drop out Neurons in Convolutional Neural Networks. CoRR (2022)
Luiz Carlos Felix Ribeiro, Mateus Roder, Gustavo Henrique de Rosa, Leandro A. Passos, João P. Papa
Enhancing Hyper-to-Real Space Projections Through Euclidean Norm Meta-heuristic Optimization. CIARP (2021)
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 (2021)
Daniel F. S. Santos, Rafael Goncalves Pires, Leandro A. Passos, João P. Papa
DDIPNet and DDIPNet+: Discriminant Deep Image Prior Networks for Remote Sensing Image Classification. IGARSS (2021)
Gustavo Henrique de Rosa, João P. Papa
A survey on text generation using generative adversarial networks. Pattern Recognit. 119 (2021)
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 (2021)
Luis Antônio de Souza Junior, Robert Mendel, Sophia Strasser, Alanna Ebigbo, Andreas Probst, Helmut Messmann, João P. Papa, Christoph Palm
Convolutional Neural Networks for the evaluation of cancer in Barrett's esophagus: Explainable AI to lighten up the black-box. Comput. Biol. Medicine 135 (2021)
Leandro Aparecido Passos, Danilo Samuel Jodas, Luiz Carlos Felix Ribeiro, Thierry Pinheiro Moreira, João P. Papa
PF: Oversampling via Optimum-Path Forest for Breast Cancer Detection. CoRR (2021)
Mateus Roder, Jurandy Almeida, Gustavo Henrique de Rosa, Leandro A. Passos, André L. D. Rossi, João P. Papa
From Actions to Events: A Transfer Learning Approach Using Improved Deep Belief Networks. SSCI (2021)
Gustavo Henrique de Rosa, João P. Papa
OPFython: A Python implementation for Optimum-Path Forest. Softw. Impacts 9 (2021)
Nathalia Q. Ascenção, Luis C. S. Afonso, Danilo Colombo, Luciano Oliveira, João P. Papa
Information Ranking Using Optimum-Path Forest. CoRR (2021)
Rafael Goncalves Pires, Daniel F. S. Santos, Leandro A. Passos, João P. Papa
Deep Regressor Networks for Blind Image Deblurring. IGARSS (2021)
Gustavo Henrique de Rosa, Mateus Roder, João P. Papa
Fast Ensemble Learning Using Adversarially-Generated Restricted Boltzmann Machines. CoRR (2021)
Lucas Fernando Alvarenga e Silva, Daniel C. G. Pedronette, Fábio Augusto Faria, João P. Papa, Jurandy Almeida
Improving Transferability of Domain Adaptation Networks Through Domain Alignment Layers. SIBGRAPI (2021)
Gustavo Henrique de Rosa, Mateus Roder, João P. Papa
Fine-Tuning Dropout Regularization in Energy-Based Deep Learning. CIARP (2021)
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 (2021)
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 (2020)
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 B) (2020)
Daniel F. S. Santos, Rafael Goncalves Pires, Danilo Colombo, João P. Papa
Scene Change Detection Using Multiscale Cascade Residual Convolutional Neural Networks. SIBGRAPI (2020)
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) (2020)
Jefferson Fontinele, Marcelo Mendonça, Marco Ruiz, João P. Papa, Luciano Oliveira
Faster α-expansion via dynamic programming and image partitioning. IJCNN (2020)
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 (2020)
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 (2020)
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) (2020)
Álvaro R. Ferreira, Gustavo Henrique de Rosa, João P. Papa, Gustavo Carneiro, Fábio Augusto Faria
Creating Classifier Ensembles through Meta-heuristic Algorithms for Aerial Scene Classification. ICPR (2020)
Gustavo Henrique de Rosa, João P. Papa, Xin-She Yang
A nature-inspired feature selection approach based on hypercomplex information. Appl. Soft Comput. 94 (2020)
Nathalia Q. Ascenção, Luis C. S. Afonso, Danilo Colombo, Luciano Oliveira, João P. Papa
Information Ranking Using Optimum-Path Forest. IJCNN (2020)
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)
Gustavo Henrique de Rosa, João P. Papa
Opytimizer: A Nature-Inspired Python Optimizer. CoRR (2019)
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)
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 (2019)
Daniel F. S. Santos, Rafael Goncalves Pires, Danilo Colombo, João P. Papa
Video Segmentation Learning Using Cascade Residual Convolutional Neural Network. SIBGRAPI (2019)
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)
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 (2019)
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) (2019)
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 (2019)
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) (2019)
Luís 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) (2019)
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)
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 (2018)
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) (2018)
Gustavo H. Rosa, João P. Papa, Xin-She Yang
Handling dropout probability estimation in convolution neural networks using meta-heuristics. Soft Comput. 22 (18) (2018)
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
Pattern Analysis in Drilling Reports using Optimum-Path Forest. IJCNN (2018)
Willian Paraguassu Amorim, Alexandre X. Falcão, João P. Papa
Multi-label semi-supervised classification through optimum-path forest. Inf. Sci. 465 (2018)
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) (2018)
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 (2018)
Danillo Roberto Pereira, João P. Papa, Luciene P. Papa, Rodrigo Jose Pisani
Land-Use Classification using Finite Element Machines. IGARSS (2018)
Luiz Souza, Luciano Oliveira, Mauricio Pamplona, João P. Papa
How far did we get in face spoofing detection? Eng. Appl. Artif. Intell. 72 (2018)
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 (2018)
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)
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)
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 (2018)
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 (2018)
Leandro A. Passos, Douglas Rodrigues, João P. Papa
Fine Tuning Deep Boltzmann Machines Through Meta-Heuristic Approaches. SACI (2018)
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)
Patricia B. Ribeiro, João P. Papa, Roseli A. F. Romero
An ensemble-based approach for breast mass classification in mammography images. Medical Imaging: Computer-Aided Diagnosis (2017)
Gustavo Botelho de Souza, Daniel F. S. Santos, Rafael Goncalves Pires, Aparecido Nilceu Marana, João P. Papa
Efficient Transfer Learning for Robust Face Spoofing Detection. CIARP (2017)
Leandro A. Passos Junior, Kelton A. P. Costa, João P. Papa
Deep Boltzmann Machines Using Adaptive Temperatures. CAIP (1) (2017)
Luiz Souza, Mauricio Pamplona, Luciano Oliveira, João P. Papa
How far did we get in face spoofing detection? CoRR (2017)
Luis Claudio Sugi Afonso, Danillo Roberto Pereira, João P. Papa
A Kernel-Based Optimum-Path Forest Classifier. CIARP (2017)
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) (2017)
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) (2017)
Gustavo H. Rosa, Luis Claudio Sugi Afonso, Alexandro Baldassin, João P. Papa, Xin-She Yang
Quaternionic Flower Pollination Algorithm. CAIP (2) (2017)
Danillo Roberto Pereira, João P. Papa, André N. de Souza
FEMaR: A finite element machine for regression problems. IJCNN (2017)
Rafael Goncalves Pires, Danillo Roberto Pereira, Luís A. M. Pereira, Alex F. Mansano, João P. Papa
Projections onto convex sets parameter estimation through harmony search and its application for image restoration. Nat. Comput. 15 (3) (2016)
Willian Paraguassu Amorim, Alexandre X. Falcão, João P. Papa, Marcelo Henriques de Carvalho
Improving semi-supervised learning through optimum connectivity. Pattern Recognit. 60 (2016)

João P. Papa.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

João P. Papa