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Found 4 papers, 4 papers with code
Deep Learning Architectures for Diagnosis of Diabetic Retinopathy
For many years, convolutional neural networks dominated the field of computer vision, not least in the medical field, where problems such as image segmentation were addressed by such networks as the U-Net.
Ranked #6 on
Retinal Vessel Segmentation
on DRIVE
(F1 score metric)
Empirical study of the modulus as activation function in computer vision applications
In this work we propose a new non-monotonic activation function: the modulus.
Approaching sales forecasting using recurrent neural networks and transformers
Accurate and fast demand forecast is one of the hot topics in supply chain for enabling the precise execution of the corresponding downstream processes (inbound and outbound planning, inventory placement, network planning, etc).
End-to-end Keyword Spotting using Xception-1d
The field of conversational agents is growing fast and there is an increasing need for algorithms that enhance natural interaction.
