487 datasets found

The ONNX dataset is used to test the onnx-mlir compiler.

The dataset used in the paper is a toy model, an MLP with a single linear hidden unit (1MLP) f (x) = w2w1x, which allows us to compare BP and PC exactly.

Deep learning-based dataset for computer-aided detection of medical images

Focal cortical dysplasia (FCD) dataset for automatic detection of FCD on magnetic resonance images (MRI)

The dataset used in this paper for testing the DGGO for solving the 1D Burgers equation, 1D time-dependent wave advection equation, 2D Darcy flow equation, and 2D time-dependent...

The LEMNA dataset is a dataset of explanations for deep learning models in security.

Stochastic Deep CDL on 6 minutes of MEG data with 204 channels and a sampling rate of 150Hz.

A large-scale clinical EEG dataset for Deep Learning

A large-scale CT-derived µ-map dataset for training and evaluation of low-count PET attenuation map generation

A population-prior generation machine for generating population prior information for low-count PET attenuation map generation

A dataset of robotic surgeries with vision-based deep learning

The dataset used in this paper is a collection of training data for over-parameterized deep neural networks.

A framework for fake news detection using deep learning techniques

A dataset for spectrum sensing and signal identification using deep learning based on spectral correlation function

A dataset for wireless mobile channel modeling, including ray tracing and deep learning fusion super-resolution modeling method for cluster characteristics prediction.

Feed-Forward Neural Networks on CIFAR-10

Perfusion imaging is crucial in acute ischemic stroke for quantifying the salvageable penumbra and irreversibly damaged core lesions.

Malicious URL detection is an emerging research area due to continuous modernization of various systems, for instance, Edge Computing. In this article, we present a novel...

A dataset of radio measurements in an outdoor setting, used to evaluate the performance of different deep learning architectures for trajectory estimation.

Copy detection patterns (CDP) are an attractive technology that allows manufacturers to defend their products against counterfeiting. The main assumption behind the protection...