There are various font styles in the world. Different styles give differ...
Generative models have advantageous characteristics for classification t...
Automatic image-based disease severity estimation generally uses discret...
Ulcerative colitis (UC) classification, which is an important task for
e...
In convolutional neural network-based character recognition, pooling lay...
The interpretability of neural networks (NNs) is a challenging but essen...
Temporal prediction is a still difficult task due to the chaotic behavio...
In convolutional neural networks (CNNs), pooling operations play importa...
In probabilistic classification, a discriminative model based on Gaussia...
This paper proposes a probabilistic neural network developed on the basi...
This research attempts to construct a network that can convert online an...
Convolutional Neural Networks (CNNs) can achieve excellent computer-assi...
In this paper, we propose a trainable multiplication layer (TML) for a n...
In this paper, we propose GlyphGAN: style-consistent font generation bas...
Activation functions play an important role in the training of artificia...
The effectiveness of biosignal generation and data augmentation with
bio...
Due to the lack of available annotated medical images, accurate
computer...