Results 61 to 70 of about 2,406,574 (279)
Generating Higher-Fidelity Synthetic Datasets with Privacy Guarantees
Algorithms, 2022 We consider the problem of enhancing user privacy in common data analysis and machine learning development tasks, such as data annotation and inspection, by substituting the real data with samples from a generative adversarial network.
Aleksei Triastcyn, Boi Faltings
doaj +1 more source
Autoencoders and Generative Adversarial Networks for Imbalanced Sequence Classification
, 2020 Generative Adversarial Networks (GANs) have been used in many different applications to generate realistic synthetic data. We introduce a novel GAN with Autoencoder (GAN-AE) architecture to generate synthetic samples for variable length, multi-feature ...
Ger, Stephanie, Klabjan, Diego
core
COCO_TS Dataset: Pixel-level Annotations Based on Weak Supervision for Scene Text Segmentation
, 2019 The absence of large scale datasets with pixel-level supervisions is a significant obstacle for the training of deep convolutional networks for scene text segmentation.
B. Gatos +7 more
core +1 more source
Synthetic Data Generation for Economists
CoRR, 2020 As more tech companies engage in rigorous economic analyses, we are confronted with a data problem: in-house papers cannot be replicated due to use of sensitive, proprietary, or private data. Readers are left to assume that the obscured true data (e.g., internal Google information) indeed produced the results given, or they must seek out comparable ...
Allison Koenecke, Hal R. Varian
openaire +2 more sources
FEBS Letters, EarlyView.This study reveals how the mitochondrial protein Slm35 is regulated in Saccharomyces cerevisiae. The authors identify stress‐responsive DNA elements and two upstream open reading frames (uORFs) in the 5′ untranslated region of SLM35. One uORF restricts translation, and its mutation increases Slm35 protein levels and mitophagy.
Hernán Romo‐Casanueva +5 more
wiley +1 more source
Development of synthetic data generator for ornament based on data mining techniques
Iraqi Journal for Computer Science and MathematicsArtificial intelligence tools depend on generating various images on the available datasets, but there is a lot of data that is not completely available, especially images of heritage and archaeological ornament.
Saad Ahmed Dheyab +2 more
doaj +1 more source
Predicting Pancreatic Cancer Using Support Vector Machine [PDF]
, 2017 This report presents an approach to predict pancreatic cancer using Support Vector Machine Classification algorithm. The research objective of this project it to predict pancreatic cancer on just genomic, just clinical and combination of genomic and ...
Bodkhe, Akshay
core +1 more source
FEBS Letters, EarlyView.The Ile181Asn variant of human UDP‐xylose synthase (hUXS1), associated with a short‐stature genetic syndrome, has previously been reported as inactive. Our findings demonstrate that Ile181Asn‐hUXS1 retains catalytic activity similar to the wild‐type but exhibits reduced stability, a looser oligomeric state, and an increased tendency to precipitate ...
Tuo Li +2 more
wiley +1 more source
Journal of ImagingThis work is dedicated to the development of a system for generating artificial data for training neural networks used within a conveyor-based technology framework.
Alexey Zaripov +2 more
doaj +1 more source
ROAD: Reality Oriented Adaptation for Semantic Segmentation of Urban Scenes
, 2018 Exploiting synthetic data to learn deep models has attracted increasing attention in recent years. However, the intrinsic domain difference between synthetic and real images usually causes a significant performance drop when applying the learned model to
Chen, Yuhua, Li, Wen, Van Gool, Luc
core +1 more source