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 (IJCNN, 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 (IJCNN, 2018)

Hierarchical Attentional Hybrid Neural Networks for Document Classification. - Jader Abreu; Luis Fred; David L. Macêdo; Cleber Zanchettin (ICANN (Workshop), 2019)

Spatial-Temporal Graph Convolutional Networks for Sign Language Recognition. - Cleison Correia de Amorim; David L. Macêdo; Cleber Zanchettin (ICANN (Workshop), 2019)

Squeezed Very Deep Convolutional Neural Networks for Text Classification. - Andréa B. Duque; Luã Lázaro J. Santos; David L. Macêdo; Cleber Zanchettin (ICANN (1), 2019)

Towards Optimizing Convolutional Neural Networks for Robotic Surgery Skill Evaluation. - Dayvid Castro; Danilo Pereira; Cleber Zanchettin; David L. Macêdo; Byron L. D. Bezerra (IJCNN, 2019)

Heartbeat Anomaly Detection using Adversarial Oversampling. - Jefferson L. P. Lima; David L. Macêdo; Cleber Zanchettin (IJCNN, 2019)

Additive Margin SincNet for Speaker Recognition. - João Antônio Chagas Nunes; David L. Macêdo; Cleber Zanchettin (IJCNN, 2019)

Improving Universal Language Model Fine-Tuning using Attention Mechanism. - Flávio Arthur O. Santos; Karina L. Ponce-Guevara; David L. Macêdo; Cleber Zanchettin (IJCNN, 2019)

Distinction Maximization Loss: Fast, Scalable, Turnkey, and Native Neural Networks Out-of-Distribution Detection simply by Replacing the SoftMax Loss. - David L. Macêdo; Tsang Ing Ren; Cleber Zanchettin; Adriano L. I. Oliveira; Alain Tapp; Teresa Bernarda Ludermir (CoRR, 2019)

Enhancing batch normalized convolutional networks using displaced rectifier linear units: A systematic comparative study. - David L. Macêdo; Cleber Zanchettin; Adriano L. I. Oliveira; Teresa Bernarda Ludermir (Expert Syst. Appl., 2019)

KutralNet: A Portable Deep Learning Model for Fire Recognition. - Angel Ayala; Bruno J. T. Fernandes; Francisco Cruz 002; David L. Macêdo; Adriano L. I. Oliveira; Cleber Zanchettin (IJCNN, 2020)

Squeezed Deep 6DoF Object Detection using Knowledge Distillation. - Heitor Felix; Walber M. Rodrigues; David L. Macêdo; Francisco Simões; Adriano L. I. Oliveira; Veronica Teichrieb; Cleber Zanchettin (IJCNN, 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 (IJCNN, 2020)

Distantly-Supervised Neural Relation Extraction with Side Information using BERT. - Johny Moreira; Chaina Santos Oliveira; David L. Macêdo; Cleber Zanchettin; Luciano Barbosa (IJCNN, 2020)

AM-MobileNet1D: A Portable Model for Speaker Recognition. - João Antônio Chagas Nunes; David Macedo; Cleber Zanchettin (IJCNN, 2020)

Neural Networks Out-of-Distribution Detection: Hyperparameter-Free Isotropic Maximization Loss, The Principle of Maximum Entropy, Cold Training, and Branched Inferences. - David L. Macêdo; Teresa Bernarda Ludermir (CoRR, 2020)

Entropic Out-of-Distribution Detection. - David L. Macêdo; Tsang Ing Ren; Cleber Zanchettin; Adriano L. I. Oliveira; Teresa Bernarda Ludermir (IJCNN, 2021)

Multi-Class Mobile Money Service Financial Fraud Detection by Integrating Supervised Learning with Adversarial Autoencoders. - Julio Cezar Soares Silva; David L. Macêdo; Cleber Zanchettin; Adriano L. I. Oliveira; Adiel Teixeira de Almeida Filho (IJCNN, 2021)

Identification of Microorganism Colony Odor Signature using InceptionTime. - Paulo M. Vasconcelos; David L. Macêdo; Leandro M. Almeida; Reginaldo G. L. Neto; Clayton A. Benevides; Cleber Zanchettin; Adriano L. I. Oliveira (SMC, 2021)

Training Aware Sigmoidal Optimizer. - David L. Macêdo; Pedro Dreyer; Teresa Bernarda Ludermir; Cleber Zanchettin (CoRR, 2021)

Improving Entropic Out-of-Distribution Detection using Isometric Distances and the Minimum Distance Score. - David L. Macêdo; Teresa Bernarda Ludermir (CoRR, 2021)

Multi-Cue Adaptive Emotion Recognition Network. - Willams L. Costa; David L. Macêdo; Cleber Zanchettin; Lucas Silva Figueiredo; Veronica Teichrieb (CoRR, 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 L. Macêdo; Cleber Zanchettin (IEEE Internet Things J., 2021)

Detecting Malicious HTTP Requests Without Log Parser Using RequestBERT-BiLSTM. - Levi S. Ramos Júnior; David L. Macêdo; Adriano L. I. Oliveira; Cleber Zanchettin (BRACIS (2), 2022)

Training Aware Sigmoidal Optimization. - David L. Macêdo; Pedro Dreyer; Teresa Bernarda Ludermir; Cleber Zanchettin (BRACIS (2), 2022)

LogBERT-BiLSTM: Detecting Malicious Web Requests. - Levi S. Ramos Júnior; David L. Macêdo; Adriano L. I. Oliveira; Cleber Zanchettin (ICANN (3), 2022)

Unsupervised Multi-view Multi-person 3D Pose Estimation Using Reprojection Error. - Diógenes Wallis de França Silva; João Paulo Silva do Monte Lima; David L. Macêdo; Cleber Zanchettin; Diego Gabriel Francis Thomas; Hideaki Uchiyama; Veronica Teichrieb (ICANN (3), 2022)

An Adapted GRASP Approach for Hyperparameter Search on Deep Networks Applied to Tabular Data. - Andersson A. Da Silva; Amanda S. Xavier; David L. Macêdo; Cleber Zanchettin; Adriano L. I. Oliveira (IJCNN, 2022)

Convolution Optimization in Fire Classification. - Angel Ayala; Bruno José Torres Fernandes; Francisco Cruz 002; David L. Macêdo; Cleber Zanchettin (IEEE Access, 2022)

Distinction Maximization Loss: Efficiently Improving Classification Accuracy, Uncertainty Estimation, and Out-of-Distribution Detection Simply Replacing the Loss and Calibrating. - David L. Macêdo; Cleber Zanchettin; Teresa Bernarda Ludermir (CoRR, 2022)

Towards Robust Deep Learning using Entropic Losses. - David L. Macêdo (CoRR, 2022)

Multi-human Fall Detection and Localization in Videos. - Mouglas Eugênio Nasário Gomes; David L. Macêdo; Cleber Zanchettin; Paulo Salgado Gomes de Mattos Neto; Adriano L. I. Oliveira (Comput. Vis. Image Underst., 2022)

PictoBERT: Transformers for next pictogram prediction. - Jayr Pereira; David L. Macêdo; Cleber Zanchettin; Adriano Lorena Inácio de Oliveira; Robson do Nascimento Fidalgo (Expert Syst. Appl., 2022)

Entropic Out-of-Distribution Detection: Seamless Detection of Unknown Examples. - David L. Macêdo; Tsang Ing Ren; Cleber Zanchettin; Adriano L. I. Oliveira; Teresa Bernarda Ludermir (IEEE Trans. Neural Networks Learn. Syst., 2022)

On the Assessment of Deep Learning Models for Named Entity Recognition of Brazilian Legal Documents. - Hidelberg Oliveira Albuquerque; Ellen Souza 001; Adriano L. I. Oliveira; David L. Macêdo; Cleber Zanchettin; Douglas Vitório; Nádia Félix F. da Silva; André C. P. L. F. de Carvalho (EPIA (2), 2023)

Improving small object detection with DETRAug. - Evair Cunha; David L. Macêdo; Cleber Zanchettin (IJCNN, 2023)

Learning What, Where and Which to Transfer. - Lucas de Lima Nogueira; David L. Macêdo; Cleber Zanchettin; Fernando M. P. Neto; Adriano Lorena Inácio de Oliveira (IJCNN, 2023)

Self-calibrated U-Net for Document Segmentation. - Iago Richard Rodrigues; Leylane Graziele Ferreira da Silva; David L. Macêdo; Cleber Zanchettin; Patricia Takako Endo; Djamel Fawzi Hadj Sadok (IJCNN, 2023)

Sigmoidal learning rate optimizer for deep neural network training using a two-phase adaptation approach. - David L. Macêdo; Cleber Zanchettin; Teresa Bernarda Ludermir (Appl. Soft Comput., 2024)