( en | de | ru )

 

Disambiguation of "Macêdo, David"

Author of the publication

copydeleteadd this publication to your clipboard
Enhancing batch normalized convolutional networks using displaced rectifier linear units: A systematic comparative study.

, , , and . Expert Syst. Appl., (2019)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Martina Bolz Jesus Macêdo

Rosalita Nolasco Macêdo Gusmao

Antonio Macedo

Cidália Macedo

Tania Garfias-Macedo

 

Other publications of authors with the same name

Heartbeat Anomaly Detection using Adversarial Oversampling., , and . IJCNN, page 1-7. IEEE, (2019)PictoBERT: Transformers for next pictogram prediction., , , , and . Expert Syst. Appl., (2022)Identification of Microorganism Colony Odor Signature using InceptionTime., , , , , , and . SMC, page 60-65. IEEE, (2021)Squeezed Deep 6DoF Object Detection using Knowledge Distillation., , , , , , and . IJCNN, page 1-7. IEEE, (2020)Intrusion Detection for Cyber-Physical Systems Using Generative Adversarial Networks in Fog Environment., , , , , and . IEEE Internet Things J., 8 (8): 6247-6256 (2021)Additive Margin SincNet for Speaker Recognition., , and . IJCNN, page 1-5. IEEE, (2019)Squeezed Very Deep Convolutional Neural Networks for Text Classification., , , and . ICANN (1), volume 11727 of Lecture Notes in Computer Science, page 193-207. Springer, (2019)Hierarchical Attentional Hybrid Neural Networks for Document Classification., , , and . ICANN (Workshop), volume 11731 of Lecture Notes in Computer Science, page 396-402. Springer, (2019)Neural Networks Out-of-Distribution Detection: Hyperparameter-Free Isotropic Maximization Loss, The Principle of Maximum Entropy, Cold Training, and Branched Inferences., and . CoRR, (2020)Entropic Out-of-Distribution Detection: Seamless Detection of Unknown Examples., , , , and . IEEE Trans. Neural Networks Learn. Syst., 33 (6): 2350-2364 (2022)