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2020 – today
- 2023
[j126]Thiago José Lucas, Inaê Soares de Figueiredo, Carlos Alexandre Carvalho Tojeiro, Alex Marino G. de Almeida, Rafal Scherer
, José Remo Ferreira Brega, João Paulo Papa, Kelton Augusto Pontara da Costa:
A Comprehensive Survey on Ensemble Learning-Based Intrusion Detection Approaches in Computer Networks. IEEE Access 11: 122638-122676 (2023)- [j125]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: 106585 (2023) - [j124]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: 107713 (2023) - [j123]Claudio Filipi Gonçalves dos Santos, Diego de Souza Oliveira, Leandro A. Passos, Rafael Gonçalves Pires, Daniel Felipe Silva Santos, Lucas Pascotti Valem, Thierry Pinheiro Moreira, Marcos Cleison S. Santana, Mateus Roder, João Paulo Papa, Danilo Colombo:
Gait Recognition Based on Deep Learning: A Survey. ACM Comput. Surv. 55(2): 34:1-34:34 (2023) - [j122]Luis Claudio Sugi Afonso, Douglas Rodrigues, João Paulo Papa:
Nature-inspired optimum-path forest. Evol. Intell. 16(1): 317-328 (2023) - [j121]Leandro A. Passos, João Paulo Papa, Amir Hussain, Ahsan Adeel:
Canonical cortical graph neural networks and its application for speech enhancement in audio-visual hearing aids. Neurocomputing 527: 196-203 (2023) - [j120]Leandro A. Passos, João Paulo Papa, Javier Del Ser, Amir Hussain, Ahsan Adeel:
Multimodal audio-visual information fusion using canonical-correlated Graph Neural Network for energy-efficient speech enhancement. Inf. Fusion 90: 1-11 (2023) - [j119]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: 1-5 (2023) - [j118]Mohammad Mehedi Hassan, Salman A. AlQahtani, Abdulhameed Alelaiwi, João P. Papa:
Explaining COVID-19 diagnosis with Taylor decompositions. Neural Comput. Appl. 35(30): 22087-22100 (2023) - [j117]Danilo Samuel Jodas, Leandro Aparecido Passos, Ahsan Adeel, João Paulo Papa:
PL-kNN: A Python-based implementation of a parameterless k-Nearest Neighbors classifier. Softw. Impacts 15: 100459 (2023) - [c171]Luiz Fernando Merli de Oliveira Sementille, Douglas Rodrigues, André Nunes de Souuza, João Paulo Papa:
Binary Flying Squirrel Optimizer for Feature Selection. BRACIS (3) 2023: 51-64 - [c170]Mateus Roder, Leandro Aparecido Passos, João Paulo Papa, André Luis Debiaso Rossi:
Feature Selection and Hyperparameter Fine-Tuning in Artificial Neural Networks for Wood Quality Classification. BRACIS (2) 2023: 323-337 - [c169]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: 1-5 - [c168]Danilo Samuel Jodas, Leandro Aparecido Passos, Douglas Rodrigues, Thiago José Lucas, Kelton Augusto Pontara da Costa, João Paulo Papa:
OPFsemble: An Ensemble Pruning Approach via Optimum-Path Forest. IWSSIP 2023: 1-5 - [c167]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: 1-5 - [c166]Douglas Rodrigues, Kelton Augusto Pontara da Costa, Danilo S. Gastaldello, André Nunes de Souza, João Paulo Papa:
Opposition-Based Jellyfish Search for Feature Selection. IWSSIP 2023: 1-5 - [c165]Douglas Rodrigues, Gustavo Henrique de Rosa, Kelton Augusto Pontara da Costa, Danilo Samuel Jodas, João Paulo Papa:
Fine-Tuning Restricted Boltzmann Machines Using No-Boundary Jellyfish. VISIGRAPP (4: VISAPP) 2023: 65-73 - [c164]Danilo Samuel Jodas, Giuliana Del Nero Velasco, Reinaldo Araujo de Lima, Aline Ribeiro Machado, João Paulo Papa:
Deep Learning Semantic Segmentation Models for Detecting the Tree Crown Foliage. VISIGRAPP (4: VISAPP) 2023: 143-150 - [c163]Silas Evandro Nachif Fernandes, Leandro A. Passos, Danilo S. Jodas, Marco Akio, André N. de Souza, João Paulo Papa:
A Multi-Class Probabilistic Optimum-Path Forest. VISIGRAPP (5: VISAPP) 2023: 361-368 - [c162]Vinícius Camargo da Silva, João Paulo Papa, Kelton Augusto Pontara da Costa:
Extractive Text Summarization Using Generalized Additive Models with Interactions for Sentence Selection. VISIGRAPP (4: VISAPP) 2023: 737-745 - [c161]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: 830-837 - [i48]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 abs/2301.13671 (2023) - [i47]Nícolas Barbosa Gomes, Arissa Yoshida, Mateus Roder, Guilherme Camargo de Oliveira, João Paulo Papa:
Facial Point Graphs for Amyotrophic Lateral Sclerosis Identification. CoRR abs/2307.12159 (2023) - [i46]Mateus Roder, Leandro Aparecido Passos, João Paulo Papa, André Luis Debiaso Rossi:
Feature Selection and Hyperparameter Fine-tuning in Artificial Neural Networks for Wood Quality Classification. CoRR abs/2310.13490 (2023) - 2022
- [j116]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: 10500-10513 (2022) - [j115]Rishav Pramanik, Momojit Biswas, Shibaprasad Sen, Luis Antonio de Souza Júnior, João Paulo Papa, Ram Sarkar:
A fuzzy distance-based ensemble of deep models for cervical cancer detection. Comput. Methods Programs Biomed. 219: 106776 (2022) - [j114]Claudio Filipi Goncalves dos Santos, João Paulo Papa:
Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks. ACM Comput. Surv. 54(10s): 213:1-213:25 (2022) - [j113]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) - [j112]Danilo Samuel Jodas, Takashi Yojo, Sergio Brazolin, Giuliana Del Nero Velasco, João Paulo Papa:
Detection of Trees on Street-View Images Using a Convolutional Neural Network. Int. J. Neural Syst. 32(1): 2150042:1-2150042:20 (2022) - [j111]Gonzalo Nápoles, Isel Grau, Leonardo Concepción, Lisa Koutsoviti Koumeri, João Paulo Papa:
Modeling implicit bias with fuzzy cognitive maps. Neurocomputing 481: 33-45 (2022) - [j110]João Gabriel Camacho Presotto, Samuel Felipe dos Santos, Lucas Pascotti Valem, Fábio Augusto Faria, João Paulo Papa, Jurandy Almeida, Daniel Carlos Guimarães Pedronette:
Weakly supervised learning based on hypergraph manifold ranking. J. Vis. Commun. Image Represent. 89: 103666 (2022) - [j109]Leandro Aparecido Passos, Danilo S. Jodas, Luiz Carlos Felix Ribeiro, Marco Akio, André Nunes de Souza, João Paulo Papa:
Handling imbalanced datasets through Optimum-Path Forest. Knowl. Based Syst. 242: 108445 (2022) - [j108]João Paulo Papa, João Manuel R. S. Tavares:
Editorial of the special section on CIARP 2021. Pattern Recognit. Lett. 163: 182 (2022) - [j107]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): 2092 (2022) - [j106]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): 3871-3882 (2022) - [j105]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): 276-286 (2022) - [c160]Pedro H. Paiola, Gustavo H. de Rosa, João P. Papa:
Deep Learning-Based Abstractive Summarization for Brazilian Portuguese Texts. BRACIS (2) 2022: 479-493 - [c159]Claudio Filipi Goncalves dos Santos, Mateus Roder, Leandro Aparecido Passos, João Paulo Papa:
MaxDropoutV2: An Improved Method to Drop Out Neurons in Convolutional Neural Networks. IbPRIA 2022: 271-282 - [c158]Thierry Pinheiro Moreira, Marcos Cleison S. Santana, Leandro A. Passos, João Paulo Papa, Kelton Augusto Pontara da Costa:
An End-to-End Approach for Seam Carving Detection Using Deep Neural Networks. IbPRIA 2022: 447-457 - [c157]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: 2581-2585 - [c156]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: 1784-1791 - [c155]Danilo Samuel Jodas, Leandro Aparecido Passos, Ahsan Adeel, João Paulo Papa:
PL-k NN: A Parameterless Nearest Neighbors Classifier. IWSSIP 2022: 1-4 - [c154]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: 1-4 - [c153]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: 1-4 - [c152]Gabriel Lino Garcia, Luis C. S. Afonso, João P. Papa:
FakeRecogna: A New Brazilian Corpus for Fake News Detection. PROPOR 2022: 57-67 - [c151]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: 101-109 - [c150]Danilo Samuel Jodas, Leandro Aparecido Passos, Giuliana Del Nero Velasco, Mariana Hortelani Carneseca Longo, Aline Ribeiro Machado, João Paulo Papa:
Multiclass Oversampling via Optimum-Path Forest for Tree Species Classification from Street-view Perspectives. SIBGRAPI 2022: 121-126 - [c149]Guilherme Brandão Martins, João Paulo Papa:
How to proper initialize Gaussian Mixture Models with Optimum-Path Forest. SIBGRAPI 2022: 127-132 - [c148]Guilherme Brandão Martins, João Paulo Papa:
Collaborative Filtering Matches Decision Templates: A Practical Approach to Estimate Predictions. SIBGRAPI 2022: 186-191 - [c147]Thiago José Lucas, Kelton Augusto Pontara da Costa, Rafal Scherer, João Paulo Papa:
An Ensemble Pruning Approach to Optimize Intrusion Detection Systems Performance. SMC 2022: 1173-1179 - [i45]Claudio Filipi Gonçalves dos Santos, João Paulo Papa:
Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks. CoRR abs/2201.03299 (2022) - [i44]Claudio Filipi Gonçalves dos Santos, Diego de Souza Oliveira, Leandro A. Passos, Rafael Gonçalves Pires, Daniel Felipe Silva Santos, Lucas Pascotti Valem, Thierry Pinheiro Moreira, Marcos Cleison Silva Santana, Mateus Roder, João Paulo Papa, Danilo Colombo:
Gait Recognition Based on Deep Learning: A Survey. CoRR abs/2201.03323 (2022) - [i43]Gustavo Henrique de Rosa, Mateus Roder, João Paulo Papa:
Comparative Study Between Distance Measures On Supervised Optimum-Path Forest Classification. CoRR abs/2202.03854 (2022) - [i42]Leandro Aparecido Passos, João Paulo Papa, Amir Hussain, Ahsan Adeel:
A Multimodal Canonical-Correlated Graph Neural Network for Energy-Efficient Speech Enhancement. CoRR abs/2202.04528 (2022) - [i41]Leandro A. Passos, Danilo S. Jodas, Kelton A. P. da Costa, Luis Antônio Souza Júnior, Danilo Colombo, João Paulo Papa:
A Review of Deep Learning-based Approaches for Deepfake Content Detection. CoRR abs/2202.06095 (2022) - [i40]Leandro Aparecido Passos, Danilo S. Jodas, Luiz Carlos Felix Ribeiro, Marco Akio, André Nunes de Souza, João Paulo Papa:
Handling Imbalanced Datasets Through Optimum-Path Forest. CoRR abs/2202.08934 (2022) - [i39]Thierry Pinheiro Moreira, Marcos Cleison S. Santana, Leandro Aparecido Passos, João Paulo Papa, Kelton Augusto Pontara da Costa:
An End-to-End Approach for Seam Carving Detection using Deep Neural Networks. CoRR abs/2203.02728 (2022) - [i38]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 abs/2203.02740 (2022) - [i37]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 abs/2203.13856 (2022) - [i36]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 abs/2204.06635 (2022) - [i35]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 abs/2204.13572 (2022) - [i34]Leandro A. Passos, João Paulo Papa, Ahsan Adeel:
Canonical Cortical Graph Neural Networks and its Application for Speech Enhancement in Future Audio-Visual Hearing Aids. CoRR abs/2206.02671 (2022) - [i33]Danilo Samuel Jodas, Leandro Aparecido Passos, Ahsan Adeel, João Paulo Papa:
PL-kNN: A Parameterless Nearest Neighbors Classifier. CoRR abs/2209.12647 (2022) - [i32]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 abs/2209.12822 (2022) - [i31]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 abs/2211.17045 (2022) - [i30]Lucas Biaggi, João P. Papa, Kelton A. P. Costa, Danillo Roberto Pereira, Leandro A. Passos:
FEMa-FS: Finite Element Machines for Feature Selection. CoRR abs/2212.02507 (2022) - [i29]Gustavo H. de Rosa, Mateus Roder, João Paulo Papa, Claudio Filipi Goncalves dos Santos:
Improving Pre-Trained Weights Through Meta-Heuristics Fine-Tuning. CoRR abs/2212.09447 (2022) - [i28]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 abs/2212.10411 (2022) - [i27]Daniel F. S. Santos, Rafael Gonçalves Pires, Danilo Colombo, João P. Papa:
Scene Change Detection Using Multiscale Cascade Residual Convolutional Neural Networks. CoRR abs/2212.10417 (2022) - [i26]Daniel F. S. Santos, Rafael Gonçalves Pires, Danilo Colombo, João P. Papa:
Video Segmentation Learning Using Cascade Residual Convolutional Neural Network. CoRR abs/2212.10570 (2022) - [i25]Vinícius Camargo da Silva, João Paulo Papa, Kelton Augusto Pontara da Costa:
Extractive Text Summarization Using Generalized Additive Models with Interactions for Sentence Selection. CoRR abs/2212.10707 (2022) - [i24]Gustavo Henrique de Rosa, João Paulo Papa:
A survey on text generation using generative adversarial networks. CoRR abs/2212.11119 (2022) - 2021
- [j104]Mateus Roder, Leandro Aparecido Passos, Gustavo Henrique de Rosa, Victor Hugo C. de Albuquerque, João Paulo Papa:
Reinforcing learning in Deep Belief Networks through nature-inspired optimization. Appl. Soft Comput. 108: 107466 (2021) - [j103]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: 104578 (2021) - [j102]Danilo Tedesco, Bruno Rafael de Almeida Moreira, Marcelo Rodrigues Barbosa Júnior, João Paulo Papa, Rouverson Pereira da Silva:
Predicting on multi-target regression for the yield of sweet potato by the market class of its roots upon vegetation indices. Comput. Electron. Agric. 191: 106544 (2021) - [j101]Adriana S. Iwashita, Douglas Rodrigues, Danilo S. Gastaldello, André Nunes de Souza, João Paulo Papa:
An incremental Optimum-Path Forest classifier and its application to non-technical losses identification. Comput. Electr. Eng. 95: 107389 (2021) - [j100]Gustavo Henrique de Rosa, João P. Papa:
A survey on text generation using generative adversarial networks. Pattern Recognit. 119: 108098 (2021) - [j99]Gustavo Henrique de Rosa, João P. Papa:
OPFython: A Python implementation for Optimum-Path Forest. Softw. Impacts 9: 100113 (2021) - [c146]Gustavo José de Sousa, Daniel Carlos Guimarães Pedronette, João Paulo Papa, Ivan Rizzo Guilherme:
SMS Spam Detection Through Skip-gram Embeddings and Shallow Networks. ACL/IJCNLP (Findings) 2021: 4193-4201 - [c145]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 - [c144]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 - [c143]Gustavo Henrique de Rosa, Mateus Roder, João P. Papa:
Fine-Tuning Dropout Regularization in Energy-Based Deep Learning. CIARP 2021: 99-108 - [c142]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: 109-118 - [c141]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: 2843-2846 - [c140]Rafael Goncalves Pires, Daniel F. S. Santos, Leandro A. Passos, João P. Papa:
Deep Regressor Networks for Blind Image Deblurring. IGARSS 2021: 5390-5393 - [c139]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: 168-175 - [c138]Danilo Samuel Jodas, Sergio Brazolin, Takashi Yojo, Reinaldo Araujo de Lima, Giuliana Del Nero Velasco, Aline Ribeiro Machado, João Paulo Papa:
A Deep Learning-based Approach for Tree Trunk Segmentation. SIBGRAPI 2021: 370-377 - [c137]Mateus Roder, Gustavo Henrique Rosa, João Paulo Papa, Daniel Carlos Guimarães Pedronette:
Enhancing Shallow Neural Networks Through Fourier-based Information Fusion for Stroke Classification. SIBGRAPI 2021: 378-385 - [c136]Paulo R. Galego Hernandes, Camila P. Floret, Katia F. Cardozo De Almeida, Vinícius Camargo da Silva, João Paulo Papa, Kelton Augusto Pontara da Costa:
Phishing Detection Using URL-based XAI Techniques. SSCI 2021: 1-6 - [c135]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: 1-8 - [c134]Gustavo Henrique de Rosa, Mateus Roder, João Paulo Papa, Claudio Filipi Goncalves dos Santos:
Improving Pre- Trained Weights through Meta - Heuristics Fine- Tuning. SSCI 2021: 1-8 - [e4]João Manuel R. S. Tavares, João Paulo Papa, Manuel González Hidalgo:
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 25th Iberoamerican Congress, CIARP 2021, Porto, Portugal, May 10-13, 2021, Revised Selected Papers. Lecture Notes in Computer Science 12702, Springer 2021, ISBN 978-3-030-93419-4 [contents] - [i23]Gustavo Henrique de Rosa, Mateus Roder, João P. Papa:
Fast Ensemble Learning Using Adversarially-Generated Restricted Boltzmann Machines. CoRR abs/2101.01042 (2021) - [i22]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) - [i21]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) - [i20]Leandro Aparecido Passos, João Paulo Papa:
A Metaheuristic-Driven Approach to Fine-Tune Deep Boltzmann Machines. CoRR abs/2101.05795 (2021) - [i19]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) - [i18]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) - [i17]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) - [i16]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) - [i15]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) - [i14]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) - [i13]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) - [i12]Gustavo Henrique de Rosa, João Paulo Papa:
Speeding Up OPFython with Numba. CoRR abs/2106.11828 (2021) - [i11]Lucas Fernando Alvarenga e Silva, Daniel Carlos Guimarães Pedronette, Fábio Augusto Faria, João Paulo Papa, Jurandy Almeida:
Improving Transferability of Domain Adaptation Networks Through Domain Alignment Layers. CoRR abs/2109.02693 (2021) - [i10]Gonzalo Nápoles, Isel Grau, Leonardo Concepción, Lisa Koutsoviti Koumeri, João Paulo Papa:
Modeling Implicit Bias with Fuzzy Cognitive Maps. CoRR abs/2112.12713 (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 B): 105717 (2020) - [j95]