Frontiers in Big Data | Data Science

Original Research

Published on 20 May 2022

Non-linear Embedding Methods for Identifying Similar Brain Activity in 1 Million iEEG Records Captured From 256 RNS System Patients

in Data Science

Sharanya Arcot Desai
Thomas Tcheng
Martha Morrell

Frontiers in Big Data

doi 10.3389/fdata.2022.840508

4,796 views
11 citations

Perspective

Published on 11 May 2022

FAIR Digital Twins for Data-Intensive Research

in Data Science

Erik Schultes
Marco Roos
Luiz Olavo Bonino da Silva Santos
Giancarlo Guizzardi
Jildau Bouwman
Thomas Hankemeier
Arie Baak
Barend Mons

Frontiers in Big Data

doi 10.3389/fdata.2022.883341

10,519 views
25 citations

Original Research

Published on 10 May 2022

Wasserstein Uncertainty Estimation for Adversarial Domain Matching

in Data Science

Rui Wang
Ruiyi Zhang
Ricardo Henao

Frontiers in Big Data

doi 10.3389/fdata.2022.878716

2,942 views
1 citation

Methods

Published on 04 May 2022

Examining Sentiment in Complex Texts. A Comparison of Different Computational Approaches

in Data Science

Stefan Munnes
Corinna Harsch
Marcel Knobloch
Johannes S. Vogel
Lena Hipp
Erik Schilling

Frontiers in Big Data

doi 10.3389/fdata.2022.886362

7,036 views
8 citations

Original Research

Published on 27 Apr 2022

Bayesian Joint Modeling of Multivariate Longitudinal and Survival Data With an Application to Diabetes Study

in Data Science

Yangxin Huang
Jiaqing Chen
Lan Xu
Nian-Sheng Tang

Frontiers in Big Data

doi 10.3389/fdata.2022.812725

6,518 views
3 citations

Original Research

Published on 18 Feb 2022

Balancing Gender Bias in Job Advertisements With Text-Level Bias Mitigation

in Data Science

Shenggang Hu
Jabir Alshehabi Al-Ani
Karen D. Hughes
Nicole Denier
Alla Konnikov
Lei Ding
Jinhan Xie
Yang Hu
Monideepa Tarafdar
Bei Jiang

Frontiers in Big Data

doi 10.3389/fdata.2022.805713

13,521 views
16 citations

Original Research

Published on 08 Feb 2022

Coming Together of Bayesian Inference and Skew Spherical Data

in Data Science

Najmeh Nakhaei Rad
Andriette Bekker
Mohammad Arashi
Christophe Ley

Frontiers in Big Data

doi 10.3389/fdata.2021.769726

4,201 views
4 citations

Original Research

Published on 03 Jan 2022

The Bayes Estimators of the Variance and Scale Parameters of the Normal Model With a Known Mean for the Conjugate and Noninformative Priors Under Stein’s Loss

in Data Science

Ying-Ying Zhang
Teng-Zhong Rong
Man-Man Li

Frontiers in Big Data

doi 10.3389/fdata.2021.763925

4,703 views

56 articles

articles

Non-linear Embedding Methods for Identifying Similar Brain Activity in 1 Million iEEG Records Captured From 256 RNS System Patients

FAIR Digital Twins for Data-Intensive Research

Wasserstein Uncertainty Estimation for Adversarial Domain Matching

Examining Sentiment in Complex Texts. A Comparison of Different Computational Approaches

Bayesian Joint Modeling of Multivariate Longitudinal and Survival Data With an Application to Diabetes Study

Balancing Gender Bias in Job Advertisements With Text-Level Bias Mitigation

Coming Together of Bayesian Inference and Skew Spherical Data

The Bayes Estimators of the Variance and Scale Parameters of the Normal Model With a Known Mean for the Conjugate and Noninformative Priors Under Stein’s Loss