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2020 – today
- 2024
[j136]Gustavo H. de Rosa, Mateus Roder, Leandro A. Passos
, João Paulo Papa:
A comprehensive study among distance measures on supervised optimum-path forest classification. Appl. Soft Comput. 164: 112021 (2024)- [j135]Artur Gomes Barreto, Felipe Fernandes Fanchini, João Paulo Papa, Victor Hugo C. de Albuquerque:
Why consider quantum instead classical pattern recognition techniques? Appl. Soft Comput. 165: 112096 (2024) - [j134]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: 106263 (2024) - [j133]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: 108195 (2024) - [j132]Leandro A. Passos, Danilo Samuel Jodas, Kelton A. P. Costa, Luis Antônio de Souza, Douglas Rodrigues, Javier Del Ser, David Camacho, João Paulo Papa:
A review of deep learning-based approaches for deepfake content detection. Expert Syst. J. Knowl. Eng. 41(8) (2024) - [j131]João Gabriel Camacho Presotto, Lucas Pascotti Valem, Nikolas Gomes de Sá, Daniel Carlos Guimarães Pedronette, João Paulo Papa:
Weakly supervised classification through manifold learning and rank-based contextual measures. Neurocomputing 589: 127717 (2024) - [j130]Jihene Tmamna, Rahma Fourati, Emna Ben Ayed, Leandro A. Passos, João P. Papa, Mounir Ben Ayed, Amir Hussain:
A binary particle swarm optimization-based pruning approach for environmentally sustainable and robust CNNs. Neurocomputing 608: 128378 (2024) - [j129]Luis Antônio de Souza, Leandro A. Passos, Marcos Cleison S. Santana, Robert Mendel, David Rauber, Alanna Ebigbo, Andreas Probst, Helmut Messmann, João Paulo Papa, Christoph Palm:
Layer-selective deep representation to improve esophageal cancer classification. Medical Biol. Eng. Comput. 62(11): 3355-3372 (2024) - [j128]Luis Antônio de Souza Júnior, André G. C. Pacheco, Leandro A. Passos, Marcos C. S. Santana, Robert Mendel, Alanna Ebigbo, Andreas Probst, Helmut Messmann, Christoph Palm, João Paulo Papa:
DeepCraftFuse: visual and deeply-learnable features work better together for esophageal cancer detection in patients with Barrett's esophagus. Neural Comput. Appl. 36(18): 10445-10459 (2024) - [j127]Claudio Filipi Gonçalves dos Santos, João Paulo Papa:
Rethinking Regularization with Random Label Smoothing. Neural Process. Lett. 56(3): 157 (2024) - [j126]Danilo Samuel Jodas, Sergio Brazolin, Giuliana Del Nero Velasco, Reinaldo Araujo de Lima, Takashi Yojo, João Paulo Papa:
Urban tree failure probability prediction based on dendrometric aspects and machine learning models. Comput. Environ. Urban Syst. 108: 102074 (2024) - [c192]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: 158-163 - [c191]Guilherme C. Oliveira, Nemuel Daniel Pah, Quoc Cuong Ngo, João P. Papa, Dinesh Kant Kumar:
NestNeuro: Leveraging Chatbots for Vocal Screening. CBMS 2024: 182-185 - [c190]Danilo Samuel Jodas, Gabriel Lino Garcia, Pedro Henrique Paiola, João Renato Ribeiro Manesco, João Paulo Papa:
Impact of Quantization on Large Language Models for Portuguese Classification Tasks. CIARP (1) 2024: 213-227 - [c189]Gabriel Lino Garcia, Pedro Henrique Paiola, Eduardo Garcia, João Renato Ribeiro Manesco, João Paulo Papa:
GemBode and PhiBode: Adapting Small Language Models to Brazilian Portuguese. CIARP (1) 2024: 228-243 - [c188]João Otávio Rodrigues Ferreira Frediani, Gabriel Lino Garcia, Pedro Henrique Paiola, Leandro Aparecido Passos, João Paulo Papa, Aparecido Nilceu Marana:
Hate Speech Detection in Portuguese Using BERTimbau. CIARP (1) 2024: 244-255 - [c187]Matheus Goes Crivelaro, Douglas Rodrigues, André Gifalli, João Paulo Papa, Carlos Guilherme Gonzales, André Nunes de Souza, Gustavo Vinícius Da Silva, Erasmo Silveira Neto:
Denoising Autoencoder for Partial Discharge Identification in Instrument Transformers. IWSSIP 2024: 1-7 - [c186]Pedro Lamkowski, Douglas Rodrigues, Leandro A. Passos, João P. Papa, Jurandy Almeida:
Neural Architecture Search for Enhancing Action Video Recognition in Compressed Domains. IWSSIP 2024: 1-7 - [c185]Thiago José Lucas, Leandro Aparecido Passos, Douglas Rodrigues, Danilo S. Jodas, João Paulo Papa, Kelton Augusto Pontara da Costa, Rafal Scherer:
Ensemble Diversity Pruning on Cybersecurity: Optimizing Intrusion Detection Systems. IWSSIP 2024: 1-6 - [c184]Rafael Gonçalves Pires, Clayton Reginaldo Pereira, Tiago Penedo, João Paulo Papa, Mateus Roder, Fabio Augusto Barbieri:
Assessing Levodopa Effectiveness in Parkison's Disease During Gait Using Electroencephalogram and Machine Learning. IWSSIP 2024: 1-5 - [c183]Carlos Alexandre Carvalho Tojeiro, Thiago José Lucas, Leandro A. Passos, Douglas Rodrigues, Simone G. D. Prado, João Paulo Papa, Kelton Augusto Pontara da Costa:
Enhancing Cyberattack Detection in IoT Environments Through Advanced Resampling Techniques. IWSSIP 2024: 1-6 - [c182]Gabriel Lino Garcia, Pedro Henrique Paiola, Danilo Samuel Jodas, Luis Afonso Sugi, João Paulo Papa:
Text Summarization and Temporal Learning Models Applied to Portuguese Fake News Detection in a Novel Brazilian Corpus Dataset. PROPOR 2024: 86-96 - [c181]Pedro Henrique Paiola, Gabriel Lino Garcia, Danilo Samuel Jodas, João Vitor Mariano Correia, Luis C. S. Afonso, João Paulo Papa:
RecognaSumm: A Novel Brazilian Summarization Dataset. PROPOR 2024: 575-579 - [c180]João Renato Ribeiro Manesco, Danilo Samuel Jodas, Maurício José Grapíggia Zanella, Marcel Koenigkam Santos, João Paulo Papa:
Graph Feature Embeddings for Patient Re-Identification from Chest X-Ray Images. SIBGRAPI 2024: 1-6 - [c179]Luis A. Souza, André G. C. Pacheco, Gabriel De Angelo, Thiago Oliveira-Santos, Christoph Palm, João P. Papa:
LiwTERM: A Lightweight Transformer-Based Model for Dermatological Multimodal Lesion Detection. SIBGRAPI 2024: 1-6 - [c178]Nícolas Barbosa Gomes, Arissa Yoshida, Mateus Roder, Guilherme Camargo de Oliveira, João Paulo Papa:
Facial Point Graphs for Amyotrophic Lateral Sclerosis Identification. VISIGRAPP (3): VISAPP 2024: 207-214 - [c177]Juliana da Costa Feitosa, Mateus Roder, João Paulo Papa, José Remo Ferreira Brega:
Influence of Pixel Perturbation on eXplainable Artificial Intelligence Methods. VISIGRAPP (3): VISAPP 2024: 624-631 - [c176]Mateus Roder, Leandro Aparecido Passos, Clayton R. Pereira, João Paulo Papa, Altanir Flores de Mello Junior, Marcelo Fagundes de Rezende, Yaro Moisés Parizek Silva, Alexandre Campane Vidal:
Convolutional Neural Networks and Image Patches for Lithological Classification of Brazilian Pre-Salt Rocks. VISIGRAPP (3): VISAPP 2024: 648-655 - [c175]Rafael Junqueira Martarelli, Douglas Rodrigues, Clayton Reginaldo Pereira, Jurandy Almeida, João Paulo Papa:
Strategies for Classifier Selection Based on Genetic Programming for Multimedia Data Recognition. VISIGRAPP (2): VISAPP 2024: 788-795 - [i51]Gabriel Lino Garcia, Pedro Henrique Paiola, Luis Henrique Morelli, Giovani Candido, Arnaldo Cândido Júnior, Danilo Samuel Jodas, Luis C. S. Afonso, Ivan Rizzo Guilherme, Bruno Elias Penteado, João Paulo Papa:
Introducing Bode: A Fine-Tuned Large Language Model for Portuguese Prompt-Based Task. CoRR abs/2401.02909 (2024) - [i50]Leandro A. Passos, Douglas Rodrigues, Danilo S. Jodas, Kelton A. P. Costa, João Paulo Papa:
BioNeRF: Biologically Plausible Neural Radiance Fields for View Synthesis. CoRR abs/2402.07310 (2024) - [i49]Pedro Henrique Paiola, Gabriel Lino Garcia, João Renato Ribeiro Manesco, Mateus Roder, Douglas Rodrigues, João Paulo Papa:
Adapting LLMs for the Medical Domain in Portuguese: A Study on Fine-Tuning and Model Evaluation. CoRR abs/2410.00163 (2024) - 2023
- [j125]Thiago José Lucas, Inaê Soares de Figueiredo, Carlos Alexandre Carvalho Tojeiro, Alex Marino Gonçalves 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) - [j124]Robert Mendel, David Rauber, Luis Antônio 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) - [j123]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) - [j122]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) - [j121]Luis Claudio Sugi Afonso, Douglas Rodrigues, João Paulo Papa:
Nature-inspired optimum-path forest. Evol. Intell. 16(1): 317-328 (2023) - [j120]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) - [j119]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) - [j118]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) - [j117]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) - [j116]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) - [c174]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 - [c173]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 - [c172]Daniel Felipe Silva Santos, Rafael Goncalves Pires, João P. Papa:
Deblur Capsule Networks. CIARP 2023: 1-15 - [c171]Nícolas Barbosa Gomes, Arissa Yoshida, Guilherme Camargo de Oliveira, Mateus Roder, João Paulo Papa:
Facial Point Graphs for Stroke Identification. CIARP 2023: 685-699 - [c170]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 - [c169]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 - [c168]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 - [c167]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 - [c166]Mateus Roder, Nícolas Barbosa Gomes, Arissa Yoshida, João Paulo Papa, Fumie Costen:
Multimodal Convolutional Deep Belief Networks for Stroke Classification with Fourier Transform. SIBGRAPI 2023: 163-168 - [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
- [j115]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) - [j114]Rishav Pramanik, Momojit Biswas, Shibaprasad Sen, Luis Antônio 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) - [j113]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) - [j112]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) - [j111]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) - [j110]Gonzalo Nápoles, Isel Grau, Leonardo Concepción, Lisa Koutsoviti Koumeri, João Paulo Papa:
Modeling implicit bias with fuzzy cognitive maps. Neurocomputing 481: 33-45 (2022) - [j109]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) - [j108]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) - [j107]João Paulo Papa, João Manuel R. S. Tavares:
Editorial of the special section on CIARP 2021. Pattern Recognit. Lett. 163: 182 (2022) - [j106]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) - [j105]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) - [j104]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 Augusto 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
- [j103]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) - [j102]Luis Antônio de Souza Júnior, 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) - [j101]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) - [j100]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) - [j99]Gustavo Henrique de Rosa, João P. Papa:
A survey on text generation using generative adversarial networks. Pattern Recognit. 119: 108098 (2021) - [j98]