Conceptual Analysis
Published on 18 Jul 2022
Identifying and addressing data asymmetries so as to enable (better) science
in Data Science
Frontiers in Big Data
doi 10.3389/fdata.2022.888384
- 4,374 views
- 3 citations
- Frontiers in Big Data
- Data Science
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42 articles
Articles
Editorial
Published on 30 Jun 2022
Editorial: Bayesian Inference and AI
in Data Science
Frontiers in Big Data
doi 10.3389/fdata.2022.934362
- 2,119 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
Frontiers in Big Data
doi 10.3389/fdata.2022.840508
- 2,949 views
- 6 citations
Perspective
Published on 11 May 2022
FAIR Digital Twins for Data-Intensive Research
in Data Science
Frontiers in Big Data
doi 10.3389/fdata.2022.883341
- 6,045 views
- 13 citations
Original Research
Published on 10 May 2022
Wasserstein Uncertainty Estimation for Adversarial Domain Matching
in Data Science
Frontiers in Big Data
doi 10.3389/fdata.2022.878716
- 1,650 views
- 1 citation
Methods
Published on 04 May 2022
Examining Sentiment in Complex Texts. A Comparison of Different Computational Approaches
in Data Science
Frontiers in Big Data
doi 10.3389/fdata.2022.886362
- 4,544 views
- 3 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
Frontiers in Big Data
doi 10.3389/fdata.2022.812725
- 3,426 views
Original Research
Published on 18 Feb 2022
Balancing Gender Bias in Job Advertisements With Text-Level Bias Mitigation
in Data Science
Frontiers in Big Data
doi 10.3389/fdata.2022.805713
- 9,668 views
- 8 citations
Original Research
Published on 08 Feb 2022
Coming Together of Bayesian Inference and Skew Spherical Data
in Data Science
Frontiers in Big Data
doi 10.3389/fdata.2021.769726
- 2,464 views
- 2 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
Frontiers in Big Data
doi 10.3389/fdata.2021.763925
- 2,975 views