Results 121 to 130 of about 2,406,574 (279)
SynDEc: A Synthetic Data Ecosystem
Abstract Given the critical role of data availability for growth and innovation in financial services, especially small and mid-sized banks lack the data volumes required to fully leverage AI advancements for enhancing fraud detection, operational efficiency, and risk management.
Fabian Karst +2 more
openaire +4 more sources
Dimethyl fumarate (DMF) reduces growth of HPV‐positive cervical cancer spheroids and induces ferroptosis in cervical cancer cells via blocking SLC7A11/Glutathione (GSH) axis. Combination of subcytotoxic doses of DMF and cisplatin (CDDP) further suppresses spheroid growth and drives cell death in 2D culture models.
Carolina Punziano +6 more
wiley +1 more source
User-Centered Pipeline for Synthetic Augmentation of Anomaly Detection Datasets
Automatic anomaly detection plays a critical role in surveillance systems but requires datasets comprising large amounts of annotated data to train and evaluate models. Gathering and annotating these data is a labor-intensive task that can become costly.
Alexander Rosbak-Mortensen +4 more
doaj +1 more source
Efficacy of Synthetic Data as a Benchmark
Large language models (LLMs) have enabled a range of applications in zero-shot and few-shot learning settings, including the generation of synthetic datasets for training and testing. However, to reliably use these synthetic datasets, it is essential to understand how representative they are of real-world data.
Gaurav Maheshwari 0005 +2 more
openaire +2 more sources
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson +9 more
wiley +1 more source
The growing use of computer vision in many fields has seen an increasing need for visual data, both real and synthetic, to support the training and testing of computer vision models.
Keith Man +3 more
doaj +1 more source
COMP–PMEPA1 axis promotes epithelial‐to‐mesenchymal transition in breast cancer cells
This study reveals that cartilage oligomeric matrix protein (COMP) promotes epithelial‐to‐mesenchymal transition (EMT) in breast cancer. We identify PMEPA1 (protein TMEPAI) as a novel COMP‐binding partner that mediates EMT via binding to the TSP domains of COMP, establishing the COMP–PMEPA1 axis as a key EMT driver in breast cancer.
Konstantinos S. Papadakos +6 more
wiley +1 more source
SynMorph: Generating Synthetic Face Morphing Dataset With Mated Samples
Face morphing attack detection (MAD) algorithms have become essential to overcome the vulnerability of face recognition systems. To solve the lack of large-scale and public-available datasets due to privacy concerns and restrictions, in this work we ...
Haoyu Zhang +3 more
doaj +1 more source
Shapes and frictions of synthetic data
Synthetic data are computer-generated data that mimic and substitute empirical observations without directly corresponding to real-world phenomena. Widely used in privacy protection, machine learning, and simulation, synthetic data is an emerging field only just beginning to be explored in the social sciences and critical data studies.
openaire +2 more sources

