David Macêdo

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 43

Top Topics

Detecting Malicious

Improving Classification Accuracy

Speaker Recognition

Principle Of Maximum Entropy

Top Venues

Expert Syst. Appl.

ICANN (Workshop)

Publications

Evair Cunha, David Macêdo, Cleber Zanchettin
Improving small object detection with DETRAug. IJCNN (2023)
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)
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)
David Macêdo
Towards Robust Deep Learning using Entropic Losses. CoRR (2022)
Angel Ayala, Bruno José Torres Fernandes, Francisco Cruz, David Macêdo, Cleber Zanchettin
Convolution Optimization in Fire Classification. IEEE Access 10 (2022)
Andersson A. 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)
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 (2022)
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 (2022)
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 (2022)
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)
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)
David Macêdo, Pedro Dreyer, Teresa Bernarda Ludermir, Cleber Zanchettin
Training Aware Sigmoidal Optimization. BRACIS (2) (2022)
Levi S. Ramos Júnior, David Macêdo, Adriano L. I. Oliveira, Cleber Zanchettin
LogBERT-BiLSTM: Detecting Malicious Web Requests. ICANN (3) (2022)
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) (2022)
David Macêdo, Teresa Bernarda Ludermir
Improving Entropic Out-of-Distribution Detection using Isometric Distances and the Minimum Distance Score. CoRR (2021)
David Macêdo, Pedro Dreyer, Teresa Bernarda Ludermir, Cleber Zanchettin
Training Aware Sigmoidal Optimizer. CoRR (2021)
David Macêdo, Tsang Ing Ren, Cleber Zanchettin, Adriano L. I. Oliveira, Teresa Bernarda Ludermir
Entropic Out-of-Distribution Detection. IJCNN (2021)
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) (2021)
Willams L. Costa, David Macêdo, Cleber Zanchettin, Lucas Silva Figueiredo, Veronica Teichrieb
Multi-Cue Adaptive Emotion Recognition Network. CoRR (2021)
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)
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)
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 (2020)
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)
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 (2020)
Johny Moreira, Chaina Oliveira, David Macêdo, Cleber Zanchettin, Luciano Barbosa
Distantly-Supervised Neural Relation Extraction with Side Information using BERT. IJCNN (2020)
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)
João Antônio Chagas Nunes, David Macêdo, Cleber Zanchettin
AM-MobileNet1D: A Portable Model for Speaker Recognition. CoRR (2020)
David Macêdo, Teresa Bernarda Ludermir
Neural Networks Out-of-Distribution Detection: Hyperparameter-Free Isotropic Maximization Loss, The Principle of Maximum Entropy, Cold Training, and Branched Inferences. CoRR (2020)
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 (2020)
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 (2019)
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 (2019)
Andréa B. Duque, Luã Lázaro J. Santos, David Macêdo, Cleber Zanchettin
Squeezed Very Deep Convolutional Neural Networks for Text Classification. ICANN (1) (2019)
Andréa B. Duque, Luã Lázaro J. Santos, David Macêdo, Cleber Zanchettin
Squeezed Very Deep Convolutional Neural Networks for Text Classification. CoRR (2019)
Dayvid Castro, Danilo Pereira, Cleber Zanchettin, David Macêdo, Byron L. D. Bezerra
Towards Optimizing Convolutional Neural Networks for Robotic Surgery Skill Evaluation. IJCNN (2019)
Flávio Arthur O. Santos, Karina L. Ponce-Guevara, David Macêdo, Cleber Zanchettin
Improving Universal Language Model Fine-Tuning using Attention Mechanism. IJCNN (2019)
Cleison Correia de Amorim, David Macêdo, Cleber Zanchettin
Spatial-Temporal Graph Convolutional Networks for Sign Language Recognition. CoRR (2019)
Jefferson L. P. Lima, David Macêdo, Cleber Zanchettin
Heartbeat Anomaly Detection using Adversarial Oversampling. IJCNN (2019)
João Antônio Chagas Nunes, David Macêdo, Cleber Zanchettin
Additive Margin SincNet for Speaker Recognition. CoRR (2019)
João Antônio Chagas Nunes, David Macêdo, Cleber Zanchettin
Additive Margin SincNet for Speaker Recognition. IJCNN (2019)
Jefferson L. P. Lima, David Macêdo, Cleber Zanchettin
Heartbeat Anomaly Detection using Adversarial Oversampling. CoRR (2019)
Jader Abreu, Luis Fred, David Macêdo, Cleber Zanchettin
Hierarchical Attentional Hybrid Neural Networks for Document Classification. CoRR (2019)
Cleison Correia de Amorim, David Macêdo, Cleber Zanchettin
Spatial-Temporal Graph Convolutional Networks for Sign Language Recognition. ICANN (Workshop) (2019)
Jader Abreu, Luis Fred, David Macêdo, Cleber Zanchettin
Hierarchical Attentional Hybrid Neural Networks for Document Classification. ICANN (Workshop) (2019)