Frontiers in Big Data | Data Science

Original Research

Published on 09 Jan 2023

ProKnow: Process knowledge for safety constrained and explainable question generation for mental health diagnostic assistance

in Data Science

Kaushik Roy
Manas Gaur
Misagh Soltani
Vipula Rawte
Ashwin Kalyan
Amit Sheth

Frontiers in Big Data

doi 10.3389/fdata.2022.1056728

4,802 views
10 citations

Original Research

Published on 14 Sep 2022

“Broadcast your gender.” A comparison of four text-based classification methods of German YouTube channels

in Data Science

Lena Seewann
Roland Verwiebe
Claudia Buder
Nina-Sophie Fritsch

Frontiers in Big Data

doi 10.3389/fdata.2022.908636

6,648 views
1 citation

Methods

Published on 30 Aug 2022

SemNet: Learning semantic attributes for human activity recognition with deep belief networks

in Data Science

Shanmuga Venkatachalam
Harideep Nair
Ming Zeng
Cathy Shunwen Tan
Ole J. Mengshoel
John Paul Shen

Frontiers in Big Data

doi 10.3389/fdata.2022.879389

2,268 views
1 citation

Original Research

Published on 11 Aug 2022

The semi-automatic classification of an open-ended question on panel survey motivation and its application in attrition analysis

in Data Science

Anna-Carolina Haensch
Bernd Weiß
Patricia Steins
Priscilla Chyrva
Katja Bitz

Frontiers in Big Data

doi 10.3389/fdata.2022.880554

3,565 views
5 citations

Conceptual Analysis

Published on 18 Jul 2022

Identifying and addressing data asymmetries so as to enable (better) science

in Data Science

Stefaan Verhulst
Andrew Young

Frontiers in Big Data

doi 10.3389/fdata.2022.888384

4,937 views
7 citations

Editorial

Published on 30 Jun 2022

Editorial: Bayesian Inference and AI

in Data Science

Niansheng Tang
Catherine Liu
Jian Qing Shi
Yangxin Huang

Frontiers in Big Data

doi 10.3389/fdata.2022.934362

2,288 views
2 citations

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

3,175 views
6 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

6,800 views
14 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

1,784 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

4,877 views
5 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

3,850 views

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

10,527 views
10 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

2,644 views
3 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

3,228 views