Results 31 to 40 of about 1,035,049 (261)

Representative & Fair Synthetic Data

CoRR, 2021
Algorithms learn rules and associations based on the training data that they are exposed to. Yet, the very same data that teaches machines to understand and predict the world, contains societal and historic biases, resulting in biased algorithms with the risk of further amplifying these once put into use for decision support.
Paul Tiwald, Alexandra Ebert, Dániel T. Soukup   +2 more
openaire   +2 more sources

Bathymetric Inversion and Uncertainty Estimation from Synthetic Surf-Zone Imagery with Machine Learning

Remote Sensing, 2020
Resolving surf-zone bathymetry from high-resolution imagery typically involves measuring wave speeds and performing a physics-based inversion process using linear wave theory, or data assimilation techniques which combine multiple remotely sensed ...
Adam M. Collins, Katherine L. Brodie, Andrew Spicer Bak, Tyler J. Hesser, Matthew W. Farthing, Jonghyun Lee, Joseph W. Long   +6 more
doaj   +1 more source

Blending Colored and Depth CNN Pipelines in an Ensemble Learning Classification Approach for Warehouse Application Using Synthetic and Real Data

Machines, 2021
Electric companies face flow control and inventory obstacles such as reliability, outlays, and time-consuming tasks. Convolutional Neural Networks (CNNs) combined with computational vision approaches can process image classification in warehouse ...
Paulo Henrique Martinez Piratelo, Rodrigo Negri de Azeredo, Eduardo Massashi Yamao, Jose Francisco Bianchi Filho, Gabriel Maidl, Felipe Silveira Marques Lisboa, Laercio Pereira de Jesus, Renato de Arruda Penteado Neto, Leandro dos Santos Coelho, Gideon Villar Leandro   +9 more
doaj   +1 more source

Chemical profiles, in silico pharmacokinetic and toxicity prediction of bioactive compounds from Boesenbergia rotunda

Case Studies in Chemical and Environmental Engineering
In Indonesia, Boesenbergia rotunda, also referred to as Temu kunci. According to earlier research, B. rotunda is a rich source of flavonoids and other phenolic compounds.
Laila Khamsatul Muharrami, Mardi Santoso, Sri Fatmawati   +2 more
doaj   +1 more source

Synthetic Data Applications in Finance

CoRR, 2023
Synthetic data has made tremendous strides in various commercial settings including finance, healthcare, and virtual reality. We present a broad overview of prototypical applications of synthetic data in the financial sector and in particular provide richer details for a few select ones.
Vamsi K. Potluru, Daniel Borrajo, Andrea Coletta, Niccolò Dalmasso, Yousef El-Laham, Elizabeth Fons, Mohsen Ghassemi, Sriram Gopalakrishnan, Vikesh Gosai, Eleonora Kreacic, Ganapathy Mani, Saheed Obitayo, Deepak Paramanand, Natraj Raman, Mikhail Solonin, Srijan Sood, Svitlana Vyetrenko, Haibei Zhu, Manuela Veloso, Tucker Balch   +19 more
openaire   +2 more sources

Synthetic data for clinical research and innovation: opportunities, challenges and future directions

ESMO Real World Data and Digital Oncology
Data form the backbone of modern health care, driving improvements in patient care, enabling clinical research and supporting public health initiatives.
Mattia Delleani
doaj   +1 more source

The Problem of Fairness in Synthetic Healthcare Data

Entropy, 2021
Access to healthcare data such as electronic health records (EHR) is often restricted by laws established to protect patient privacy. These restrictions hinder the reproducibility of existing results based on private healthcare data and also limit new ...
Karan Bhanot, Miao Qi, John S. Erickson, Isabelle Guyon, Kristin P. Bennett   +4 more
doaj   +1 more source

Rational Use of Herbal Products in Pediatric Patients Treated With Anticancer Drugs in the European Union

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction The use of herbal medical preparation (HMP) is rising among pediatric oncology patients, often to manage treatment‐related symptoms. Their effectiveness remains uncertain, and the risk of herb–drug interactions is underestimated.
Orianne Mahot, Mathieu Corvaisier, Laurence Spiesser‐Robelet, Mylène Duplan, Isabelle Pellier, Delphine Bourneau‐Martin, Séverine Derbré   +6 more
wiley   +1 more source

The Role of “Adult‐Onset” Cancer Predisposition Genes in Pediatric Cancer: A Comprehensive Review

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Current literature estimates that 10% of pediatric cancers are caused by pathogenic or likely pathogenic (P/LP) germline variants in cancer predisposition genes (CPGs). Variants in CPGs thought to increase cancer risk exclusively during adulthood are referred to as “adult‐onset” CPGs (aoCPGs).
Maria Rozo, Miriam A. Bornhorst, Angela J. Waanders, Sara Zarnegar‐Lumley, Ashwin Lakshman Koppayi, Lucy A. Godley   +5 more
wiley   +1 more source

Comprehensive evaluation framework for synthetic tabular data in health: fidelity, utility and privacy analysis of generative models with and without privacy guarantees

Frontiers in Digital Health
The generation of synthetic tabular data has emerged as a key privacy-enhancing technology to address challenges in data sharing, particularly in healthcare, where sensitive attributes can compromise patient privacy.
Mikel Hernandez, Mikel Hernandez, Mikel Hernandez, Pablo A. Osorio-Marulanda, Pablo A. Osorio-Marulanda, Mikel Catalina, Lorea Loinaz, Lorea Loinaz, Gorka Epelde, Gorka Epelde, Naiara Aginako   +10 more
doaj   +1 more source