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2020 – today
- 2024
[j22]David Macêdo, Cleber Zanchettin
, Teresa Bernarda Ludermir:
Sigmoidal learning rate optimizer for deep neural network training using a two-phase adaptation approach. Appl. Soft Comput. 167: 112264 (2024)- [j21]Luís Gonçalves, Cleber Zanchettin:
Detecting abnormal logins by discovering anomalous links via graph transformers. Comput. Secur. 144: 103944 (2024) - [j20]Jayr Alencar Pereira, Jaylton Alencar Pereira, Cleber Zanchettin, Robson do Nascimento Fidalgo:
PrAACT: Predictive Augmentative and Alternative Communication with Transformers. Expert Syst. Appl. 240: 122417 (2024) - [c89]Dayvid Castro, Byron Leite Dantas Bezerra, Cleber Zanchettin:
An End-to-End Approach for Handwriting Recognition: From Handwritten Text Lines to Complete Pages. CVPR Workshops 2024: 264-273 - [c88]Ricardo Batista das Neves Junior, Byron Leite Dantas Bezerra, Cleber Zanchettin:
DocLightDetect: A New Algorithm for Occlusion Classification in Identification Documents. DAS 2024: 196-210 - [c87]João Macedo, Byron L. D. Bezerra, Cleber Zanchettin:
How Does Changing the Optical Character Recognition System Impact the Layout-Aware Named Entity Recognition Models? DAS 2024: 244-257 - [c86]Antonio Barros da Silva Netto, Willian Farias Carvalho Oliveira, Cleber Zanchettin:
Classification of Dehiscence Defects in Titanium and Zirconium Dental Implants. ICANN (8) 2024: 230-244 - [c85]Luís Gonçalves, Cleber Zanchettin:
SG-RSRNN - Score Guided Robust Subspace Recovery-based Neural Network for Network Intrusion Detection. IJCNN 2024: 1-8 - [d3]Ailton Rodrigues, Cleber Zanchettin:
V-Librasil - A New Dataset with Signs in Brazilian Sign Language (Libras). IEEE DataPort, 2024
- [i22]Mateus G. Machado, João G. Melo, Cleber Zanchettin, Pedro H. M. Braga, Pedro V. Cunha, Edna Natividade da Silva Barros, Hansenclever F. Bassani:
Planning the path with Reinforcement Learning: Optimal Robot Motion Planning in RoboCup Small Size League Environments. CoRR abs/2404.15410 (2024) - [i21]Jayr Alencar Pereira, Francisco Rodrigues, Jaylton Alencar Pereira, Cleber Zanchettin, Robson N. Fidalgo:
Enhancing Augmentative and Alternative Communication with Card Prediction and Colourful Semantics. CoRR abs/2405.15896 (2024) - 2023
- [c84]Monique Monteiro, Cleber Zanchettin:
Optimization Strategies for BERT-Based Named Entity Recognition. BRACIS (3) 2023: 80-94 - [c83]Hidelberg Oliveira Albuquerque, Ellen Souza, Adriano L. I. Oliveira, David Macêdo, Cleber Zanchettin, Douglas Vitório, Nádia Félix F. da Silva, André C. P. L. F. de Carvalho:
On the Assessment of Deep Learning Models for Named Entity Recognition of Brazilian Legal Documents. EPIA (2) 2023: 93-104 - [c82]Flávio Arthur O. Santos, Maynara Donato de Souza, Pedro Oliveira, Leonardo Nogueira Matos, Paulo Novais, Cleber Zanchettin:
Image Classification Understanding with Model Inspector Tool. HAIS 2023: 611-622 - [c81]Jayr Alencar Pereira, Rodrigo Frassetto Nogueira, Cleber Zanchettin, Robson N. Fidalgo:
An Augmentative and Alternative Communication Synthetic Corpus for Brazilian Portuguese. ICALT 2023: 202-206 - [c80]Flávio Arthur O. Santos, Maynara Donato de Souza, Cleber Zanchettin:
Towards Background and Foreground Color Robustness with Adversarial Right for the Right Reasons. ICANN (5) 2023: 169-180 - [c79]Flávio Arthur Oliveira Santos, Cleber Zanchettin:
Exploring Image Classification Robustness and Interpretability with Right for the Right Reasons Data Augmentation. ICCV (Workshops) 2023: 4149-4158 - [c78]Evair Cunha, David Macêdo, Cleber Zanchettin:
Improving small object detection with DETRAug. IJCNN 2023: 1-8 - [c77]Lucas de Lima Nogueira, David Macêdo, Cleber Zanchettin, Fernando M. P. Neto, Adriano Lorena Inácio de Oliveira:
Learning What, Where and Which to Transfer. IJCNN 2023: 1-8 - [c76]Iago Richard Rodrigues, Leylane Graziele Ferreira da Silva, David L. Macêdo, Cleber Zanchettin, Patricia Takako Endo, Djamel Fawzi Hadj Sadok:
Self-calibrated U-Net for Document Segmentation. IJCNN 2023: 1-8 - [c75]Maynara Donato de Souza, Clesson Roberto Silva Junior, Jonysberg P. Quintino, Andre Luís de Medeiros Santos, Fabio Q. B. da Silva, Cleber Zanchettin:
Exploring the Impact of Synthetic Data on Human Activity Recognition Tasks. INNS DLIA@IJCNN 2023: 656-665 - [c74]Arthur Almeida, Luís Gonçalves, Cleber Zanchettin, Byron Leite Dantas Bezerra:
A Semi-Supervised Autoencoder Approach for Efficient Intrusion Detection in Network Traffic. LA-CCI 2023: 1-6 - [c73]João Macedo, Byron L. D. Bezerra, Estanislau Lima, Alysson Soares, Celso A. M. Lopes Junior, Cleber Zanchettin:
Evaluating Transformer-based Models in the Information Extraction of Fiscal Documents. LA-CCI 2023: 1-6 - [d2]Paulo F. C. Barbosa, Bruna Silva, Cleber Zanchettin, Renato Mariz de Moraes:
Energy Consumption CSMA/CA and slotted ALOHA (μ-AMPS). IEEE DataPort, 2023 - [d1]Paulo F. C. Barbosa, Cleber Zanchettin, Renato M. de Moraes:
Energy Consumption Tmote Sky Ultra low power IEEE 802.15.4. IEEE DataPort, 2023 - [i20]Jayr Alencar Pereira, Rodrigo Frassetto Nogueira, Cleber Zanchettin, Robson do Nascimento Fidalgo:
Predictive Authoring for Brazilian Portuguese Augmentative and Alternative Communication. CoRR abs/2308.09497 (2023) - 2022
- [j19]Angel Ayala, Bruno José Torres Fernandes, Francisco Cruz, David Macêdo, Cleber Zanchettin:
Convolution Optimization in Fire Classification. IEEE Access 10: 23642-23658 (2022) - [j18]Mouglas Eugênio Nasário Gomes, David Macêdo, Cleber Zanchettin, Paulo Salgado Gomes de Mattos Neto, Adriano L. I. Oliveira:
Multi-human Fall Detection and Localization in Videos. Comput. Vis. Image Underst. 220: 103442 (2022) - [j17]Jayr Alencar Pereira, David Macêdo, Cleber Zanchettin, Adriano Lorena Inácio de Oliveira, Robson do Nascimento Fidalgo:
PictoBERT: Transformers for next pictogram prediction. Expert Syst. Appl. 202: 117231 (2022) - [j16]Flávio Arthur Oliveira Santos, Cleber Zanchettin, Leonardo Nogueira Matos, Paulo Novais:
On the Impact of Interpretability Methods in Active Image Augmentation Method. Log. J. IGPL 30(4): 611-621 (2022) - [j15]David Macêdo, Tsang Ing Ren, Cleber Zanchettin, Adriano L. I. Oliveira, Teresa Bernarda Ludermir:
Entropic Out-of-Distribution Detection: Seamless Detection of Unknown Examples. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2350-2364 (2022) - [c72]David Macêdo, Pedro Dreyer, Teresa Bernarda Ludermir, Cleber Zanchettin:
Training Aware Sigmoidal Optimization. BRACIS (2) 2022: 123-138 - [c71]Levi S. Ramos Júnior, David Macêdo, Adriano L. I. Oliveira, Cleber Zanchettin:
Detecting Malicious HTTP Requests Without Log Parser Using RequestBERT-BiLSTM. BRACIS (2) 2022: 328-342 - [c70]Diógenes Wallis de França Silva, João Paulo Silva do Monte Lima, David Macêdo, Cleber Zanchettin, Diego Gabriel Francis Thomas, Hideaki Uchiyama, Veronica Teichrieb:
Unsupervised Multi-view Multi-person 3D Pose Estimation Using Reprojection Error. ICANN (3) 2022: 482-494 - [c69]Levi S. Ramos Júnior, David Macêdo, Adriano L. I. Oliveira, Cleber Zanchettin:
LogBERT-BiLSTM: Detecting Malicious Web Requests. ICANN (3) 2022: 704-715 - [c68]Andersson A. Da Silva, Amanda S. Xavier, David Macêdo, Cleber Zanchettin, Adriano L. I. Oliveira:
An Adapted GRASP Approach for Hyperparameter Search on Deep Networks Applied to Tabular Data. IJCNN 2022: 1-8 - [c67]Thiago Moura da Rocha Bastos, Luiz Stragevitch, Cleber Zanchettin:
Visual Analysis of Deep Learning Methods for Industrial Vacuum Metalized Film Product. VISIGRAPP (4: VISAPP) 2022: 380-386 - [i19]Cleison Correia de Amorim, Cleber Zanchettin:
ASL-Skeleton3D and ASL-Phono: Two Novel Datasets for the American Sign Language. CoRR abs/2201.02065 (2022) - [i18]David Macêdo, Cleber Zanchettin, Teresa Bernarda Ludermir:
Distinction Maximization Loss: Efficiently Improving Classification Accuracy, Uncertainty Estimation, and Out-of-Distribution Detection Simply Replacing the Loss and Calibrating. CoRR abs/2205.05874 (2022) - 2021
- [j14]Flávio Arthur O. Santos, Thiago Dias Bispo, Hendrik Teixeira Macedo, Cleber Zanchettin:
Morphological Skip-Gram: Replacing FastText characters n-gram with morphological knowledge. Inteligencia Artif. 24(67): 1-17 (2021) - [j13]Paulo Freitas de Araujo-Filho, Georges Kaddoum, Divanilson R. Campelo, Aline Gondim Santos, David Macêdo, Cleber Zanchettin:
Intrusion Detection for Cyber-Physical Systems Using Generative Adversarial Networks in Fog Environment. IEEE Internet Things J. 8(8): 6247-6256 (2021) - [c66]Rafael Silva, Bruno O. Prado, Leonardo N. Matos, Flávio Arthur O. Santos, Cleber Zanchettin, Paulo Novais:
Construction of Brazilian Regulatory Traffic Sign Recognition Dataset. CIARP 2021: 163-172 - [c65]Flávio Arthur Oliveira Santos, Cleber Zanchettin, José Vitor Santos Silva, Leonardo Nogueira Matos, Paulo Novais:
A Hybrid Post Hoc Interpretability Approach for Deep Neural Networks. HAIS 2021: 600-610 - [c64]David Macêdo, Tsang Ing Ren, Cleber Zanchettin, Adriano L. I. Oliveira, Teresa Bernarda Ludermir:
Entropic Out-of-Distribution Detection. IJCNN 2021: 1-8 - [c63]Julio Cezar Soares Silva, David Macêdo, Cleber Zanchettin, Adriano L. I. Oliveira, Adiel Teixeira de Almeida Filho:
Multi-Class Mobile Money Service Financial Fraud Detection by Integrating Supervised Learning with Adversarial Autoencoders. IJCNN 2021: 1-7 - [c62]Paulo M. Vasconcelos, David Macêdo, Leandro M. Almeida, Reginaldo G. L. Neto, Clayton A. Benevides, Cleber Zanchettin, Adriano L. I. Oliveira:
Identification of Microorganism Colony Odor Signature using InceptionTime. SMC 2021: 60-65 - [i17]David Macêdo, Pedro Dreyer, Teresa Bernarda Ludermir, Cleber Zanchettin:
Training Aware Sigmoidal Optimizer. CoRR abs/2102.08716 (2021) - [i16]Flávio Arthur O. Santos, Cleber Zanchettin, Leonardo N. Matos, Paulo Novais:
On the Impact of Interpretability Methods in Active Image Augmentation Method. CoRR abs/2102.12354 (2021) - [i15]Willams L. Costa, David Macêdo, Cleber Zanchettin, Lucas Silva Figueiredo, Veronica Teichrieb:
Multi-Cue Adaptive Emotion Recognition Network. CoRR abs/2111.02273 (2021) - 2020
- [j12]Ricardo Batista das Neves Junior, Estanislau Lima, Byron L. D. Bezerra, Cleber Zanchettin, Alejandro H. Toselli:
HU-PageScan: a fully convolutional neural network for document page crop. IET Image Process. 14(15): 3890-3898 (2020) - [c61]Danilo Pereira, Flávio Arthur O. Santos, Leonardo N. Matos, Paulo Novais, Cleber Zanchettin, Teresa Bernarda Ludermir:
On Analysing Similarity Knowledge Transfer by Ensembles. IDEAL (2) 2020: 202-210 - [c60]Angel Ayala, Bruno J. T. Fernandes, Francisco Cruz, David Macêdo, Adriano L. I. Oliveira, Cleber Zanchettin:
KutralNet: A Portable Deep Learning Model for Fire Recognition. IJCNN 2020: 1-8 - [c59]Heitor Felix, Walber M. Rodrigues, David Macêdo, Francisco Simões, Adriano L. I. Oliveira, Veronica Teichrieb, Cleber Zanchettin:
Squeezed Deep 6DoF Object Detection using Knowledge Distillation. IJCNN 2020: 1-7 - [c58]Ricardo Batista das Neves Junior, Luiz Felipe Verçosa, David Macedo, Byron Leite Dantas Bezerra, Cleber Zanchettin:
A Fast Fully Octave Convolutional Neural Network for Document Image Segmentation. IJCNN 2020: 1-6 - [c57]Johny Moreira, Chaina Oliveira, David Macêdo, Cleber Zanchettin, Luciano Barbosa:
Distantly-Supervised Neural Relation Extraction with Side Information using BERT. IJCNN 2020: 1-7 - [c56]João Antônio Chagas Nunes, David Macedo, Cleber Zanchettin:
AM-MobileNet1D: A Portable Model for Speaker Recognition. IJCNN 2020: 1-8 - [c55]Ygor Amaral B. L. de Sena, Kelvin Lopes Dias, Cleber Zanchettin:
DQN-AF: Deep Q-Network based Adaptive Forwarding Strategy for Named Data Networking. LATINCOM 2020: 1-6 - [c54]Paulo F. C. Barbosa, Bruna Alves da Silva, Cleber Zanchettin, Renato Mariz de Moraes:
Energy Consumption Optimization for CSMA/CA Protocol Employing Machine Learning. VTC Spring 2020: 1-5 - [i14]Heitor Felix, Walber M. Rodrigues, David Macêdo, Francisco Simões, Adriano L. I. Oliveira, Veronica Teichrieb, Cleber Zanchettin:
Squeezed Deep 6DoF Object Detection Using Knowledge Distillation. CoRR abs/2003.13586 (2020) - [i13]João Antônio Chagas Nunes, David Macêdo, Cleber Zanchettin:
AM-MobileNet1D: A Portable Model for Speaker Recognition. CoRR abs/2004.00132 (2020) - [i12]Ricardo Batista das Neves Junior, Luiz Felipe Verçosa, David Macêdo, Byron Leite Dantas Bezerra, Cleber Zanchettin:
A Fast Fully Octave Convolutional Neural Network for Document Image Segmentation. CoRR abs/2004.01317 (2020) - [i11]Johny Moreira, Chaina Oliveira, David Macedo, Cleber Zanchettin, Luciano Barbosa:
Distantly-Supervised Neural Relation Extraction with Side Information using BERT. CoRR abs/2004.14443 (2020) - [i10]Flávio Arthur O. Santos, Hendrik T. Macedo, Thiago Dias Bispo, Cleber Zanchettin:
Morphological Skip-Gram: Using morphological knowledge to improve word representation. CoRR abs/2007.10055 (2020) - [i9]Angel Ayala, Bruno J. T. Fernandes, Francisco Cruz, David Macêdo, Adriano L. I. Oliveira, Cleber Zanchettin:
KutralNet: A Portable Deep Learning Model for Fire Recognition. CoRR abs/2008.06866 (2020) - [i8]Ygor Amaral B. L. de Sena, Kelvin Lopes Dias, Cleber Zanchettin:
DQN-AF: Deep Q-Network based Adaptive Forwarding Strategy for Named Data Networking. CoRR abs/2010.09897 (2020)
2010 – 2019
- 2019
- [j11]David Macêdo, Cleber Zanchettin, Adriano L. I. Oliveira, Teresa Bernarda Ludermir:
Enhancing batch normalized convolutional networks using displaced rectifier linear units: A systematic comparative study. Expert Syst. Appl. 124: 271-281 (2019) - [c53]Flávio Arthur Oliveira Santos, Cleber Zanchettin, Leonardo Nogueira Matos, Paulo Novais:
Active Image Data Augmentation. HAIS 2019: 310-321 - [c52]Andréa B. Duque, Luã Lázaro J. Santos, David Macêdo, Cleber Zanchettin:
Squeezed Very Deep Convolutional Neural Networks for Text Classification. ICANN (1) 2019: 193-207 - [c51]Jader Abreu, Luis Fred, David Macêdo, Cleber Zanchettin:
Hierarchical Attentional Hybrid Neural Networks for Document Classification. ICANN (Workshop) 2019: 396-402 - [c50]Thiago V. M. Souza, Cleber Zanchettin:
Improving Deep Image Clustering with Spatial Transformer Layers. ICANN (4) 2019: 641-654 - [c49]Cleison Correia de Amorim, David Macêdo, Cleber Zanchettin:
Spatial-Temporal Graph Convolutional Networks for Sign Language Recognition. ICANN (Workshop) 2019: 646-657 - [c48]Evandro J. R. Silva, Cleber Zanchettin:
Dynamic Centroid Insertion and Adjustment for Data Sets with Multiple Imbalanced Classes. ICANN (2) 2019: 766-778 - [c47]Paloma G. S. Silva, Celso A. M. Lopes Junior, Estanislau Lima, Byron L. D. Bezerra, Cleber Zanchettin:
Speeding-up the Handwritten Signature Segmentation Process through an Optimized Fully Convolutional Neural Network. ICDAR 2019: 1417-1423 - [c46]Dayvid Castro, Danilo Pereira, Cleber Zanchettin, David Macêdo, Byron L. D. Bezerra:
Towards Optimizing Convolutional Neural Networks for Robotic Surgery Skill Evaluation. IJCNN 2019: 1-8 - [c45]Jefferson L. P. Lima, David Macêdo, Cleber Zanchettin:
Heartbeat Anomaly Detection using Adversarial Oversampling. IJCNN 2019: 1-7 - [c44]João Antônio Chagas Nunes, David Macêdo, Cleber Zanchettin:
Additive Margin SincNet for Speaker Recognition. IJCNN 2019: 1-5 - [c43]Tiago J. dos Santos, Carlos A. B. Mello, Cleber Zanchettin, Thiago V. M. de Souza:
On the Influence of the Color Model for Image Boundary Detection Algorithms based on Convolutional Neural Networks. IJCNN 2019: 1-8 - [c42]Flávio Arthur O. Santos, Karina L. Ponce-Guevara, David Macêdo, Cleber Zanchettin:
Improving Universal Language Model Fine-Tuning using Attention Mechanism. IJCNN 2019: 1-7 - [i7]Jader Abreu, Luis Fred, David Macêdo, Cleber Zanchettin:
Hierarchical Attentional Hybrid Neural Networks for Document Classification. CoRR abs/1901.06610 (2019) - [i6]Andréa B. Duque, Luã Lázaro J. Santos, David Macêdo, Cleber Zanchettin:
Squeezed Very Deep Convolutional Neural Networks for Text Classification. CoRR abs/1901.09821 (2019) - [i5]Jefferson L. P. Lima, David Macêdo, Cleber Zanchettin:
Heartbeat Anomaly Detection using Adversarial Oversampling. CoRR abs/1901.09972 (2019) - [i4]João Antônio Chagas Nunes, David Macêdo, Cleber Zanchettin:
Additive Margin SincNet for Speaker Recognition. CoRR abs/1901.10826 (2019) - [i3]Cleison Correia de Amorim, David Macêdo, Cleber Zanchettin:
Spatial-Temporal Graph Convolutional Networks for Sign Language Recognition. CoRR abs/1901.11164 (2019) - [i2]Thiago V. M. Souza, Cleber Zanchettin:
Improving Deep Image Clustering With Spatial Transformer Layers. CoRR abs/1902.05401 (2019) - [i1]David Macêdo, Tsang Ing Ren, Cleber Zanchettin, Adriano L. I. Oliveira, Alain Tapp, Teresa Bernarda Ludermir:
Distinction Maximization Loss: Fast, Scalable, Turnkey, and Native Neural Networks Out-of-Distribution Detection simply by Replacing the SoftMax Loss. CoRR abs/1908.05569 (2019) - 2018
- [j10]Davi Hirafuji Neiva, Cleber Zanchettin:
Gesture recognition: A review focusing on sign language in a mobile context. Expert Syst. Appl. 103: 159-183 (2018) - [c41]Luiz Antonio de Oliveira Junior, Heitor R. Medeiros, David Macedo, Cleber Zanchettin, Adriano L. I. Oliveira, Teresa Bernarda Ludermir:
SegNetRes-CRF: A Deep Convolutional Encoder-Decoder Architecture for Semantic Image Segmentation. IJCNN 2018: 1-6 - [c40]Aline Gondim Santos, Camila Oliveira de Souza, Cleber Zanchettin, David Macedo, Adriano L. I. Oliveira, Teresa Bernarda Ludermir:
Reducing SqueezeNet Storage Size with Depthwise Separable Convolutions. IJCNN 2018: 1-6 - 2017
- [j9]Dusan Stosic, Darko Stosic, Cleber Zanchettin, Teresa Bernarda Ludermir, Borko D. Stosic:
QRNN: q -Generalized Random Neural Network. IEEE Trans. Neural Networks Learn. Syst. 28(2): 383-390 (2017) - [c39]Miguel D. de S. Wanderley, Leonardo de A. e Bueno, Cleber Zanchettin, Adriano L. I. Oliveira:
The Impact of Dataset Complexity on Transfer Learning over Convolutional Neural Networks. ICANN (2) 2017: 582-589 - 2016
- [j8]Lucas F. S. Cambuim, Rafael M. Macieira, Fernando M. de Paula Neto, Edna Barros, Teresa Bernarda Ludermir, Cleber Zanchettin:
An efficient static gesture recognizer embedded system based on ELM pattern recognition algorithm. J. Syst. Archit. 68: 1-16 (2016) - [c38]Evandro J. R. Silva, Cleber Zanchettin:
A Voronoi Diagram Based Classifier for Multiclass Imbalanced Data Sets. BRACIS 2016: 109-114 - [c37]Davi Hirafuji Neiva, Cleber Zanchettin:
A Dynamic Gesture Recognition System to Translate between Sign Languages in Complex Backgrounds. BRACIS 2016: 421-426 - [c36]Leandro Maciel Almeida, Cleber Zanchettin, Hilton Pintor Bezerra Leite:
Building Ensembles with Classifier Selection Using Self-Organizing Maps. BRACIS 2016: 450-455 - [c35]Evandro J. R. Silva, Cleber Zanchettin:
On Validation Setup for Multiclass Imbalanced Data Sets. BRACIS 2016: 468-473 - [c34]Diego P. A. Menor, Carlos A. B. Mello, Cleber Zanchettin:
Objective Video Quality Assessment Based on Neural Networks. KES 2016: 1551-1559 - 2015
- [c33]Fernando M. de Paula Neto, Lucas F. S. Cambuim, Rafael M. Macieira, Teresa Bernarda Ludermir, Cleber Zanchettin, Edna Natividade da Silva Barros:
Extreme Learning Machine for Real Time Recognition of Brazilian Sign Language. SMC 2015: 1464-1469 - [c32]Evandro J. R. Silva, Cleber Zanchettin:
On the Existence of a Threshold in Class Imbalance Problems. SMC 2015: 2714-2719 - 2014
- [j7]Teresa Bernarda Ludermir, Cleber Zanchettin, Ana Carolina Lorena:
Advances in intelligent systems. Neurocomputing 127: 1-3 (2014) - [c31]Cleber Zanchettin:
Face recognition based on global and local features. SAC 2014: 55-57 - [c30]Lucindo de Melo, Cleber Zanchettin, Anderson Apolônio Lira Queiroz, Gliner Dias Alencar:
Utilização de Morfismo como Classificador para Verificação de Assinaturas Off-line. SBSI 2014: 687-698 - [c29]Felipe Mendonca Gouveia, Byron Leite Dantas Bezerra, Cleber Zanchettin, Joao Raul Jardim Meneses:
Handwriting recognition system for mobile accessibility to the visually impaired people. SMC 2014: 3918-3923 - 2013
- [c28]Renata Freire de Paiva Neves, Cleber Zanchettin, Carlos Alexandre Barros Mello:
An adaptive thresholding algorithm based on edge detection and morphological operations for document images. ACM Symposium on Document Engineering 2013: 107-110 - [c27]V. Macário, G. F. P. Silva, Milena R. P. Souza, Cleber Zanchettin, George D. C. Cavalcanti:
Metaclasses and zoning for handwritten document recognition. IJCNN 2013: 1-5 - 2012
- [c26]Renata F. P. Neves, Cleber Zanchettin, Alberto N. G. Lopes Filho:
An Efficient Way of Combining SVMs for Handwritten Digit Recognition. ICANN (2) 2012: 229-237 - [c25]Byron Leite Dantas Bezerra, Cleber Zanchettin, Vinícius Braga de Andrade:
A MDRNN-SVM Hybrid Model for Cursive Offline Handwriting Recognition. ICANN (2) 2012: 246-254 - [c24]Saulo Henrique Leoncio de Medeiros Napoles, Cleber Zanchettin:
Offline handwritten signature verification through network radial basis functions optimized by Differential Evolution. IJCNN 2012: 1-5 - [c23]Cleber Zanchettin, Leandro M. Almeida, Frederico D. Menezes, Teresa Bernarda Ludermir, Walter M. Azevedo:
Odor recognition systems for natural gas odorization monitoring. IJCNN 2012: 1-8 - [c22]Cleber Zanchettin, Byron Leite Dantas Bezerra, Washington W. Azevedo:
A KNN-SVM hybrid model for cursive handwriting recognition. IJCNN 2012: 1-8 - [c21]Byron Leite Dantas Bezerra, Cleber Zanchettin, Vinícius Braga de Andrade:
A Hybrid RNN Model for Cursive Offline Handwriting Recognition. SBRN 2012: 113-118 - 2011
- [j6]Teresa Bernarda Ludermir, Ricardo Bastos Cavalcante Prudêncio, Cleber Zanchettin:
Feature and algorithm selection with Hybrid Intelligent Techniques. Int. J. Hybrid Intell. Syst. 8(3): 115-116 (2011) - [j5]Cleber Zanchettin, Teresa Bernarda Ludermir, Leandro M. Almeida:
Hybrid Training Method for MLP: Optimization of Architecture and Training. IEEE Trans. Syst. Man Cybern. Part B 41(4): 1097-1109 (2011) - [c20]Washington W. Azevedo, Cleber Zanchettin:
A MLP-SVM hybrid model for cursive handwriting recognition. IJCNN 2011: 843-850 - [c19]Jose Lima Alexandrino, Cleber Zanchettin, Edson Costa de Barros Carvalho Filho:
Evolving Clonal Adaptive Resonance Theory based on ECOS theory. IJCNN 2011: 2039-2046 - [c18]Renata F. P. Neves, Alberto N. G. Lopes Filho, Carlos A. B. Mello, Cleber Zanchettin:
A SVM based off-line handwritten digit recognizer. SMC 2011: 510-515 - [c17]Juliano C. B. Rabelo, Cleber Zanchettin, Carlos A. B. Mello, Byron L. D. Bezerra:
A Multi-Layer Perceptron approach to threshold documents with complex background. SMC 2011: 2523-2530 - 2010
- [j4]Cleber Zanchettin, Leandro L. Minku, Teresa Bernarda Ludermir:
Design of Experiments in Neuro-Fuzzy Systems. Int. J. Comput. Intell. Appl. 9(2): 137-152 (2010)
2000 – 2009
- 2009
- [c16]Cleber Zanchettin, Teresa Bernarda Ludermir:
Hybrid Optimization Technique for Artificial Neural Networks Design. ICEIS (2) 2009: 242-247 - [c15]Jose Lima Alexandrino, Cleber Zanchettin, Edson Costa de Barros Carvalho Filho:
Hybrid intelligent immune system using Radial Basis Function applied to Time Series Analysis. IJCNN 2009: 94-101 - 2008
- [c14]Cleber Zanchettin, Teresa Bernarda Ludermir:
Feature subset selection in a methodology for training and improving artificial neural network weights and connections. IJCNN 2008: 1951-1958 - [c13]Jose Lima Alexandrino, Cleber Zanchettin, Edson Costa de Barros Carvalho Filho:
A hybrid intelligent system clonart for short and mid-term forecasting for the Brazilian Energy Distribution System. IJCNN 2008: 3486-3492 - 2007
- [j3]Cleber Zanchettin, Teresa Bernarda Ludermir:
Wavelet filter for noise reduction and signal compression in an artificial nose. Appl. Soft Comput. 7(1): 246-256 (2007) - [c12]Jose Lima Alexandrino, Cleber Zanchettin, Edson Costa de Barros Carvalho Filho:
Artificial Immune System with ART Memory Hibridization. HIS 2007: 59-64 - [c11]Carlos A. B. Mello, Byron L. D. Bezerra, Cleber Zanchettin, V. Macário:
An Efficient Thresholding Algorithm for Brazilian Bank Checks. ICDAR 2007: 193-197 - [c10]Cleber Zanchettin, Teresa Bernarda Ludermir:
Comparison of the Effectiveness of Different Cost Functions in Global Optimization Techniques. IJCNN 2007: 2701-2706 - 2006
- [j2]Teresa Bernarda Ludermir, Akio Yamazaki, Cleber Zanchettin:
An Optimization Methodology for Neural Network Weights and Architectures. IEEE Trans. Neural Networks 17(6): 1452-1459 (2006) - [c9]George D. C. Cavalcanti, Eduardo F. A. Silva, Cleber Zanchettin, Byron L. D. Bezerra, Rodrigo C. Doria, Juliano C. B. Rabelo:
A Heuristic Binarization Algorithm for Documents with Complex Background. ICIP 2006: 389-392 - [c8]Cleber Zanchettin, George D. C. Cavalcanti, Rodrigo C. Doria, Eduardo F. A. Silva, Juliano C. B. Rabelo, Byron L. D. Bezerra:
A neural architecture to identify courtesy amount delimiters. IJCNN 2006: 3210-3217 - [c7]Cleber Zanchettin, Teresa Bernarda Ludermir:
A methodology to train and improve artificial neural networks' weights and connections. IJCNN 2006: 5267-5274 - [c6]Cleber Zanchettin, Teresa Bernarda Ludermir:
The Influence of Different Cost Functions in Global Optimization Techniques. SBRN 2006: 96-101 - 2005
- [j1]Cleber Zanchettin, Teresa Bernarda Ludermir:
Hybrid neural systems for pattern recognition in artificial noses. Int. J. Neural Syst. 15(1-2): 137-149 (2005) - [c5]Cleber Zanchettin, Fernanda L. Minku, Teresa Bernarda Ludermir:
Design of Experiments in Neuro-Fuzzy Systems. HIS 2005: 218-226 - [c4]Cleber Zanchettin, Teresa Bernarda Ludermir:
Hybrid Technique for Artificial Neural Network Architecture and Weight Optimization. PKDD 2005: 709-716 - 2004
- [c3]Cleber Zanchettin, Teresa Bernarda Ludermir:
Evolving Fuzzy Neural Networks Applied to Odor Recognition. ICONIP 2004: 953-958 - 2003
- [c2]Cleber Zanchettin, Teresa Bernarda Ludermir:
Wavelet Filter for Noise Reduction and Signal Compression in an Artificial Nose. HIS 2003: 907-916 - [c1]Cleber Zanchettin, Teresa Bernarda Ludermir:
A Neuro-Fuzzy Model Applied to Odor Recognition in an Artificial Nose. HIS 2003: 917-926
Coauthor Index
Byron L. D. Bezerra
aka: Byron Leite Dantas Bezerra
aka: Byron Leite Dantas Bezerra
David Macedo
aka: David Macêdo
aka: David Macêdo
Adriano Lorena Inácio de Oliveira
aka: Adriano L. I. Oliveira
aka: Adriano L. I. Oliveira
Flávio Arthur O. Santos
aka: Flávio Arthur Oliveira Santos
aka: Flávio Arthur Oliveira Santos
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