Results 21 to 30 of about 2,406,574 (279)

Synthetic Data for Feature Selection

, 2023
Feature selection is an important and active field of research in machine learning and data science. Our goal in this paper is to propose a collection of synthetic datasets that can be used as a common reference point for feature selection algorithms.
Firuz Kamalov, Hana Sulieman, Aswani Kumar Cherukuri   +2 more
openaire   +2 more sources

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

Synthetic data, synthetic trust: navigating data challenges in the digital revolution. [PDF]

Lancet Digit Health
In the evolving landscape of artificial intelligence (AI), the assumption that more data lead to better models has driven unchecked reliance on synthetic data to augment training datasets. Although synthetic data address crucial shortages of real-world training data, their overuse might propagate biases, accelerate model degradation, and compromise ...
Koul A, Duran D, Hernandez-Boussard T.
europepmc   +3 more sources

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

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

Learning from Synthetic Data Using a Stacked Multichannel Autoencoder

, 2015
Learning from synthetic data has many important and practical applications. An example of application is photo-sketch recognition. Using synthetic data is challenging due to the differences in feature distributions between synthetic and real data, a ...
Agam, Gady, Fu, Yanwei, Jiang, Shanshan, Sigal, Leonid, Zhang, Xi   +4 more
core   +1 more source

BacillOndex: An Integrated Data Resource for Systems and Synthetic Biology [PDF]

, 2013
BacillOndex is an extension of the Ondex data integration system, providing a semantically annotated, integrated knowledge base for the model Gram-positive bacterium Bacillus subtilis. This application allows a user to mine a variety of B.
Allenby, Nick, Hallinan, Jennifer S., James, Katherine, Misirli, Goksel, Mullen, Joseph, Pocock, Matthew, Smith, Wendy, Wipat, Anil   +7 more
core   +2 more sources

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