127 datasets found

The shapefile contains 354 polygons which are boundaries of retrogressive thaw slumps (RTSs) and other land covers (non-RTS) in Beiluhe on the Tibetan Plateau for training a...

This dataset contains Python code ('code_DeepLearn_ImgClass.zip') for automated classification of gravure printed patterns from the HYPA-p dataset. The developed algorithm...

Contains 3 synthetic datasets (UNI, DIS, UNI-5px), with three corresponding trained models, based on a CNN architecture. The three datasets contains pairs of small (either...

Companion simulated dataset for the preprint "Should we really use graph neural networks for transcriptomic prediction?" together with data obtained from the datasets:...

A public database composed of real-world color polarimetric images of the sky in various weather condition over a month (~ 08-2022) in La Timone, Marseille More information in...

PCB-Vision Dataset Description: The PCB-Vision dataset is a multiscene RGB-Hyperspectral benchmark dataset comprising 53 Printed Circuit Boards (PCBs). The RGB images are...

We develop a convolutional neural network (NN) approach able to predict the elastic contribution to chemical potential μₑ at the surface of a 2D strained film given its profile...

We develop a convolutional neural network (NN) approach able to predict the elastic contribution to chemical potential μₑ at the surface of a 2D strained film given its profile...

This release contains the source code used for Chapter 5 of the PhD thesis "Global Inference and Local Syntax Representations for Event Extraction". It contains the...

DATASET FOR JOURNAL PAPER (https://doi.org/10.1016/j.jag.2021.102571) Large-scale mapping activities can benefit from the vastly increasing availability of earth observation...

This dataset is for our accepted paper in the 'Sensors' journal titled 'A Deep Learning Approach to Classify Surgical Skill in Microsurgery Using Force Data from a Novel...

Time and measurement data for echocardiographic parameters as measured by a novel AI-based software and by standard clinical reference methods.

The increasing use of deep learning techniques has reduced interpretation time and, ideally, reduced interpreter bias by automatically deriving geological maps from digital...

Visual place recognition (VPR) is a fundamental task of computer vision for visual localization. Existing methods are trained using image pairs that either depict the same place...

Mitigating the dependence on spurious correlations present in the training dataset is a quickly emerging and important topic of deep learning. Recent approaches include priors...

Trained OSS-Net models of the paper "OSS-Net: Memory Efficient High Resolution Semantic Segmentation of 3D Medical Data".

The files that are made available here are all the key components that are needed to recreate the automated classification of high speed videos of the gravure printing fluid...

The "ArtSeg-CHO-M4R, artifact segmentation in microscopy of ligand binding to M4 muscarinic receptor in live CHO-K1-hM4 cells" dataset contains microscopy images along with the...

We propose a new class of financial volatility models, called the REcurrent Conditional Heteroskedastic (RECH) models, to improve both in-sample analysis and out-of-sample...

This benchmark dataset contains the physical data used as predictors to reconstruct global chlorophyll-a concentrations (Chl, a proxy of phytoplankton biomass) in Roussillon et...