David Macedo

According to our database, David Macedo authored at least 39 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Sigmoidal learning rate optimizer for deep neural network training using a two-phase adaptation approach.

David Macêdo, Cleber Zanchettin, Teresa Bernarda Ludermir

Appl. Soft Comput., 2024

2023

Learning What, Where and Which to Transfer.

Lucas de Lima Nogueira, David Macêdo, Cleber Zanchettin, Fernando M. P. Neto, Adriano Lorena Inácio de Oliveira

Proceedings of the International Joint Conference on Neural Networks, 2023

Improving small object detection with DETRAug.

Evair Cunha, David Macêdo, Cleber Zanchettin

Proceedings of the International Joint Conference on Neural Networks, 2023

On the Assessment of Deep Learning Models for Named Entity Recognition of Brazilian Legal Documents.

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

Proceedings of the Progress in Artificial Intelligence, 2023

2022

Entropic Out-of-Distribution Detection: Seamless Detection of Unknown Examples.

David Macêdo, Tsang Ing Ren, Cleber Zanchettin, Adriano L. I. Oliveira, Teresa Bernarda Ludermir

IEEE Trans. Neural Networks Learn. Syst., 2022

PictoBERT: Transformers for next pictogram prediction.

Jayr Alencar Pereira, David Macêdo, Cleber Zanchettin, Adriano Lorena Inácio de Oliveira, Robson do Nascimento Fidalgo

Expert Syst. Appl., 2022

Multi-human Fall Detection and Localization in Videos.

Mouglas Eugênio Nasário Gomes, David Macêdo, Cleber Zanchettin, Paulo Salgado Gomes de Mattos Neto, Adriano L. I. Oliveira

Comput. Vis. Image Underst., 2022

Towards Robust Deep Learning using Entropic Losses.

David Macêdo

CoRR, 2022

Distinction Maximization Loss: Efficiently Improving Classification Accuracy, Uncertainty Estimation, and Out-of-Distribution Detection Simply Replacing the Loss and Calibrating.

David Macêdo, Cleber Zanchettin, Teresa Bernarda Ludermir

CoRR, 2022

Convolution Optimization in Fire Classification.

Angel Ayala, Bruno José Torres Fernandes, Francisco Cruz, David Macêdo, Cleber Zanchettin

IEEE Access, 2022

An Adapted GRASP Approach for Hyperparameter Search on Deep Networks Applied to Tabular Data.

Andersson A. Da Silva, Amanda S. Xavier, David Macêdo, Cleber Zanchettin, Adriano L. I. Oliveira

Proceedings of the International Joint Conference on Neural Networks, 2022

Unsupervised Multi-view Multi-person 3D Pose Estimation Using Reprojection Error.

Diógenes Wallis de França Silva, João Paulo Silva do Monte Lima, David Macêdo, Cleber Zanchettin, Diego Gabriel Francis Thomas, Hideaki Uchiyama, Veronica Teichrieb

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

LogBERT-BiLSTM: Detecting Malicious Web Requests.

Levi S. Ramos Júnior, David Macêdo, Adriano L. I. Oliveira, Cleber Zanchettin

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Training Aware Sigmoidal Optimization.

David Macêdo, Pedro Dreyer, Teresa Bernarda Ludermir, Cleber Zanchettin

Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022

Detecting Malicious HTTP Requests Without Log Parser Using RequestBERT-BiLSTM.

Levi S. Ramos Júnior, David Macêdo, Adriano L. I. Oliveira, Cleber Zanchettin

Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022

2021

Intrusion Detection for Cyber-Physical Systems Using Generative Adversarial Networks in Fog Environment.

Paulo Freitas de Araujo-Filho, Georges Kaddoum, Divanilson R. Campelo, Aline Gondim Santos, David Macêdo, Cleber Zanchettin

IEEE Internet Things J., 2021

Multi-Cue Adaptive Emotion Recognition Network.

Willams L. Costa, David Macêdo, Cleber Zanchettin, Lucas Silva Figueiredo, Veronica Teichrieb

CoRR, 2021

Improving Entropic Out-of-Distribution Detection using Isometric Distances and the Minimum Distance Score.

David Macêdo, Teresa Bernarda Ludermir

CoRR, 2021

Training Aware Sigmoidal Optimizer.

David Macêdo, Pedro Dreyer, Teresa Bernarda Ludermir, Cleber Zanchettin

CoRR, 2021

Identification of Microorganism Colony Odor Signature using InceptionTime.

Paulo M. Vasconcelos, David Macêdo, Leandro M. Almeida, Reginaldo G. L. Neto, Clayton A. Benevides, Cleber Zanchettin, Adriano L. I. Oliveira

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Multi-Class Mobile Money Service Financial Fraud Detection by Integrating Supervised Learning with Adversarial Autoencoders.

Julio Cezar Soares Silva, David Macêdo, Cleber Zanchettin, Adriano L. I. Oliveira, Adiel Teixeira de Almeida Filho

Proceedings of the International Joint Conference on Neural Networks, 2021

Entropic Out-of-Distribution Detection.

David Macêdo, Tsang Ing Ren, Cleber Zanchettin, Adriano L. I. Oliveira, Teresa Bernarda Ludermir

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Neural Networks Out-of-Distribution Detection: Hyperparameter-Free Isotropic Maximization Loss, The Principle of Maximum Entropy, Cold Training, and Branched Inferences.

David Macêdo, Teresa Bernarda Ludermir

CoRR, 2020

AM-MobileNet1D: A Portable Model for Speaker Recognition.

João Antônio Chagas Nunes, David Macedo, Cleber Zanchettin

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Distantly-Supervised Neural Relation Extraction with Side Information using BERT.

Johny Moreira, Chaina Oliveira, David Macêdo, Cleber Zanchettin, Luciano Barbosa

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

A Fast Fully Octave Convolutional Neural Network for Document Image Segmentation.

Ricardo Batista das Neves Junior, Luiz Felipe Verçosa, David Macedo, Byron Leite Dantas Bezerra, Cleber Zanchettin

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Squeezed Deep 6DoF Object Detection using Knowledge Distillation.

Heitor Felix, Walber M. Rodrigues, David Macêdo, Francisco Simões, Adriano L. I. Oliveira, Veronica Teichrieb, Cleber Zanchettin

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

KutralNet: A Portable Deep Learning Model for Fire Recognition.

Angel Ayala, Bruno J. T. Fernandes, Francisco Cruz, David Macêdo, Adriano L. I. Oliveira, Cleber Zanchettin

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Enhancing batch normalized convolutional networks using displaced rectifier linear units: A systematic comparative study.

David Macêdo, Cleber Zanchettin, Adriano L. I. Oliveira, Teresa Bernarda Ludermir

Expert Syst. Appl., 2019

Distinction Maximization Loss: Fast, Scalable, Turnkey, and Native Neural Networks Out-of-Distribution Detection simply by Replacing the SoftMax Loss.

David Macêdo, Tsang Ing Ren, Cleber Zanchettin, Adriano L. I. Oliveira, Alain Tapp, Teresa Bernarda Ludermir

CoRR, 2019

Improving Universal Language Model Fine-Tuning using Attention Mechanism.

Flávio Arthur O. Santos, Karina L. Ponce-Guevara, David Macêdo, Cleber Zanchettin

Proceedings of the International Joint Conference on Neural Networks, 2019

Additive Margin SincNet for Speaker Recognition.

João Antônio Chagas Nunes, David Macêdo, Cleber Zanchettin

Proceedings of the International Joint Conference on Neural Networks, 2019

Heartbeat Anomaly Detection using Adversarial Oversampling.

Jefferson L. P. Lima, David Macêdo, Cleber Zanchettin

Proceedings of the International Joint Conference on Neural Networks, 2019

Towards Optimizing Convolutional Neural Networks for Robotic Surgery Skill Evaluation.

Dayvid Castro, Danilo Pereira, Cleber Zanchettin, David Macêdo, Byron L. D. Bezerra

Proceedings of the International Joint Conference on Neural Networks, 2019

Squeezed Very Deep Convolutional Neural Networks for Text Classification.

Andréa B. Duque, Luã Lázaro J. Santos, David Macêdo, Cleber Zanchettin

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019

Spatial-Temporal Graph Convolutional Networks for Sign Language Recognition.

Cleison Correia de Amorim, David Macêdo, Cleber Zanchettin

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019

Hierarchical Attentional Hybrid Neural Networks for Document Classification.

Jader Abreu, Luis Fred, David Macêdo, Cleber Zanchettin

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019

2018

Reducing SqueezeNet Storage Size with Depthwise Separable Convolutions.

Aline Gondim Santos, Camila Oliveira de Souza, Cleber Zanchettin, David Macedo, Adriano L. I. Oliveira, Teresa Bernarda Ludermir

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

SegNetRes-CRF: A Deep Convolutional Encoder-Decoder Architecture for Semantic Image Segmentation.

Luiz Antonio de Oliveira Junior, Heitor R. Medeiros, David Macedo, Cleber Zanchettin, Adriano L. I. Oliveira, Teresa Bernarda Ludermir

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018