Joo P. Papa
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
44
Venues
17
Active years
2007–2026
Best venue rank
C
Where they publish
Papers
44 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | DATA | The Future of Agriculture through Data Science: Challenges and Opportunities for Autonomous Field Systems. | Joo P. Papa |
| 2024 | CBMS | A Stable Diffusion Approach for RGB to Thermal Image Conversion for Leg Ulcer Assessment. | Guilherme C. Oliveira, Quoc Cuong Ngo, Joo P. Papa, Dinesh Kant Kumar |
| 2024 | CBMS | NestNeuro: Leveraging Chatbots for Vocal Screening. | Guilherme C. Oliveira, Nemuel Daniel Pah, Quoc Cuong Ngo, Joo P. Papa, Dinesh Kant Kumar |
| 2023 | CIARP | Deblur Capsule Networks. | Daniel Felipe Silva Santos, Rafael Goncalves Pires, Joo P. Papa |
| 2022 | ICIP | Mixup-Based Deep Metric Learning Approaches for Incomplete Supervision. | Luiz H. Buris, Daniel C. G. Pedronette, Joo P. Papa, Jurandy Almeida, Gustavo Carneiro, Fbio Augusto Faria |
| 2022 | ICPR | FEMa-FS: Finite Element Machines for Feature Selection. | Lucas Biaggi, Joo P. Papa, Kelton A. P. Costa, Danillo Roberto Pereira, Leandro A. Passos |
| 2021 | CIARP | 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, Joo P. Papa |
| 2021 | CIARP | Fine-Tuning Dropout Regularization in Energy-Based Deep Learning. | Gustavo Henrique de Rosa, Mateus Roder, Joo P. Papa |
| 2021 | IGARSS | Deep Regressor Networks for Blind Image Deblurring. | Rafael Goncalves Pires, Daniel F. S. Santos, Leandro A. Passos, Joo P. Papa |
| 2021 | IGARSS | DDIPNet and DDIPNet+: Discriminant Deep Image Prior Networks for Remote Sensing Image Classification. | Daniel F. S. Santos, Rafael Goncalves Pires, Leandro A. Passos, Joo P. Papa |
| 2020 | ICPR | Creating Classifier Ensembles through Meta-heuristic Algorithms for Aerial Scene Classification. | lvaro R. Ferreira, Gustavo Henrique de Rosa, Joo P. Papa, Gustavo Carneiro, Fbio Augusto Faria |
| 2020 | IJCNN | Information Ranking Using Optimum-Path Forest. | Nathalia Q. Asceno, Luis C. S. Afonso, Danilo Colombo, Luciano Oliveira, Joo P. Papa |
| 2020 | IJCNN | Faster α-expansion via dynamic programming and image partitioning. | Jefferson Fontinele, Marcelo Mendona, Marco Ruiz, Joo P. Papa, Luciano Oliveira |
| 2019 | IJCNN | Multiple-Instance Learning through Optimum-Path Forest. | Luis Claudio Sugi Afonso, Danilo Colombo, Clayton R. Pereira, Kelton A. P. Costa, Joo P. Papa |
| 2018 | CEC | EEG-based Person Authentication Using Multi-objective Flower Pollination Algorithm. | Zaid Abdi Alkareem Alyasseri, Ahamad Tajudin Khader, Mohammed Azmi Al-Betar, Joo P. Papa, Osama Ahmad Alomari |
| 2018 | IGARSS | Land-Use Classification using Finite Element Machines. | Danillo Roberto Pereira, Joo P. Papa, Luciene P. Papa, Rodrigo Jose Pisani |
| 2018 | IGARSS | Environmental Monitoring Using Drone Images and Convolutional Neural Networks. | Rogrio Thomazella, Jos E. C. Castanho, Fbio R. L. Dotto, Oswaldo Pons Rodrigues Jnior, Gustavo Henrique Rosa, Aparecido Nilceu Marana, Joo P. Papa |
| 2018 | IJCNN | Pattern Analysis in Drilling Reports using Optimum-Path Forest. | Gustavo Jos de Sousa, Daniel Carlos Guimares Pedronette, Alexandro Baldassin, Pedro Ivo Monteiro Privatto, M. Gaseta, Ivan Rizzo Guilherme, Danilo Colombo, Luis Claudio Sugi Afonso, Joo P. Papa |
| 2018 | SACI | 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, Joo P. Papa |
| 2018 | SACI | Fine Tuning Deep Boltzmann Machines Through Meta-Heuristic Approaches. | Leandro A. Passos, Douglas Rodrigues, Joo P. Papa |
| 2017 | CAIP | Deep Boltzmann Machines Using Adaptive Temperatures. | Leandro A. Passos Junior, Kelton A. P. Costa, Joo P. Papa |
| 2017 | CAIP | Quaternionic Flower Pollination Algorithm. | Gustavo H. Rosa, Luis Claudio Sugi Afonso, Alexandro Baldassin, Joo P. Papa, Xin-She Yang |
| 2017 | CIARP | A Kernel-Based Optimum-Path Forest Classifier. | Luis Claudio Sugi Afonso, Danillo Roberto Pereira, Joo P. Papa |
| 2017 | CIARP | Efficient Transfer Learning for Robust Face Spoofing Detection. | Gustavo Botelho de Souza, Daniel F. S. Santos, Rafael Goncalves Pires, Aparecido Nilceu Marana, Joo P. Papa |
| 2017 | IJCNN | FEMaR: A finite element machine for regression problems. | Danillo Roberto Pereira, Joo P. Papa, Andr N. de Souza |
| 2015 | CBMS | Unsupervised Breast Masses Classification through Optimum-Path Forest. | Patricia B. Ribeiro, Leandro A. Passos Junior, Luis Alexandre da Silva, Kelton A. P. da Costa, Joo P. Papa, Roseli A. F. Romero |
| 2015 | GECCO | On the Model Selection of Bernoulli Restricted Boltzmann Machines Through Harmony Search. | Joo P. Papa, Gustavo Henrique Rosa, Kelton A. P. Costa, Nilceu A. Marana, Walter J. Scheirer, David Daniel Cox |
| 2014 | CIARP | Static Video Summarization through Optimum-Path Forest Clustering. | Guilherme Brando Martins, Luis Claudio Sugi Afonso, Daniel Osaku, Jurandy Almeida, Joo P. Papa |
| 2014 | CIARP | On the Influence of Markovian Models for Contextual-Based Optimum-Path Forest Classification. | Daniel Osaku, Alexandre L. M. Levada, Joo P. Papa |
| 2013 | CAIP | Optimizing Feature Selection through Binary Charged System Search. | Douglas Rodrigues, Lus A. M. Pereira, Joo P. Papa, Caio C. O. Ramos, Andr N. de Souza, Luciene P. Papa |
| 2013 | ISCAS | A hybrid image restoration algorithm based on Projections Onto Convex Sets and Harmony Search. | Rafael Goncalves Pires, Lus A. M. Pereira, Alex F. Mansano, Joo P. Papa |
| 2012 | ICPR | Speeding up optimum-path forest training by path-cost propagation. | Adriana S. Iwashita, Joo P. Papa, Alexandre X. Falco, Roberto A. Lotufo, Victor M. de Araujo Oliveira, Victor Hugo C. de Albuquerque, Joo Manuel R. S. Tavares |
| 2012 | IGARSS | Automatic landslide recognition through Optimum-Path Forest. | Rodrigo Pisani, Paulina Riedel, Kelton A. P. Costa, Rodrigo Nakamura, Clayton R. Pereira, Gustavo H. Rosa, Joo P. Papa |
| 2012 | IJCNN | A fast large scale iris database classification with Optimum-Path Forest technique: A case study. | Luis Claudio Sugi Afonso, Joo P. Papa, Aparecido Nilceu Marana, Ahmad Poursaberi, Svetlana N. Yanushkevich |
| 2011 | IGARSS | Land use image classification through Optimum-Path Forest Clustering. | Rodrigo Pisani, Paulina Riedel, Mateus Ferreira, Mara Marques, Rodrigo Mizobe, Joo P. Papa |
| 2011 | IGARSS | Is it possible to make pixel-based radar image classification user-friendly? | Rodrigo Pisani, Paulina Riedel, Alessandra Rodrigues Gomes, Rodrigo Yuji Mizobe, Joo P. Papa |
| 2011 | IWCIA | Precipitates Segmentation from Scanning Electron Microscope Images through Machine Learning Techniques. | Joo P. Papa, Clayton R. Pereira, Victor Hugo C. de Albuquerque, Cleiton C. Silva, Alexandre X. Falco, Joo Manuel R. S. Tavares |
| 2010 | ICPR | Optimizing Optimum-Path Forest Classification for Huge Datasets. | Joo P. Papa, Fabio A. M. Cappabianco, Alexandre X. Falco |
| 2009 | ICIAP | On the Training Patterns Pruning for Optimum-Path Forest. | Joo P. Papa, Alexandre X. Falco |
| 2009 | PSIVT | Novel Approaches for Exclusive and Continuous Fingerprint Classification. | Javier A. Montoya-Zegarra, Joo P. Papa, Neucimar Jernimo Leite, Ricardo da Silva Torres, Alexandre X. Falco |
| 2008 | ISVC | A New Variant of the Optimum-Path Forest Classifier. | Joo P. Papa, Alexandre X. Falco |
| 2008 | IWCIA | A Discrete Approach for Supervised Pattern Recognition. | Joo P. Papa, Alexandre X. Falco, Celso T. N. Suzuki, Nelson D. A. Mascarenhas |
| 2007 | ISMM | Design of robust pattern classifiers based on optimum-path forests. | Joo P. Papa, Alexandre X. Falco, Paulo A. V. Miranda, Celso T. N. Suzuki, Nelson D. A. Mascarenhas |
| 2007 | ISVC | Rotation-Invariant Texture Recognition. | Javier A. Montoya-Zegarra, Joo P. Papa, Neucimar Jernimo Leite, Ricardo da Silva Torres, Alexandre X. Falco |