| no |
title |
author |
magazine |
year |
volume |
issue |
page(s) |
type |
| 1 |
Addressing the critical need for open experimental databases in materials science
|
Horton, Matthew K.
|
|
|
2 |
12 |
p.
|
article
|
| 2 |
Common-sense approaches to sharing tabular data alongside publication
|
Tierney, Nicholas J.
|
|
|
2 |
12 |
p.
|
article
|
| 3 |
Connecting the dots: The boons and banes of network modeling
|
Climer, Sharlee
|
|
|
2 |
12 |
p.
|
article
|
| 4 |
Contrastive learning improves critical event prediction in COVID-19 patients
|
Wanyan, Tingyi
|
|
|
2 |
12 |
p.
|
article
|
| 5 |
Differential privacy for public health data: An innovative tool to optimize information sharing while protecting data confidentiality
|
Dyda, Amalie
|
|
|
2 |
12 |
p.
|
article
|
| 6 |
Discover immunotherapy biomarkers from single-cell cytometry data
|
Ru, Beibei
|
|
|
2 |
12 |
p.
|
article
|
| 7 |
Exploring complex and heterogeneous correlations on hypergraph for the prediction of drug-target interactions
|
Ruan, Ding
|
|
|
2 |
12 |
p.
|
article
|
| 8 |
How to be responsible in all the steps of a data science pipeline: The case of the Italian public sector
|
Scannapieco, Monica
|
|
|
2 |
12 |
p.
|
article
|
| 9 |
Intersectionality and reflexivity—decolonizing methodologies for the data science process
|
Boyd, A.E.
|
|
|
2 |
12 |
p.
|
article
|
| 10 |
Labels in a haystack: Approaches beyond supervised learning in biomedical applications
|
Yakimovich, Artur
|
|
|
2 |
12 |
p.
|
article
|
| 11 |
Meta-learning for fake news detection surrounding the Syrian war: An interview with co-author Roaa Al Feel
|
Al Feel, Roaa
|
|
|
2 |
12 |
p.
|
article
|
| 12 |
New interpretable machine-learning method for single-cell data reveals correlates of clinical response to cancer immunotherapy
|
Greene, Evan
|
|
|
2 |
12 |
p.
|
article
|
| 13 |
Research data infrastructure for high-throughput experimental materials science
|
Talley, Kevin R.
|
|
|
2 |
12 |
p.
|
article
|
| 14 |
Road map for research on responsible artificial intelligence for development (AI4D) in African countries: The case study of agriculture
|
Gwagwa, Arthur
|
|
|
2 |
12 |
p.
|
article
|
| 15 |
Selection of 51 predictors from 13,782 candidate multimodal features using machine learning improves coronary artery disease prediction
|
Agrawal, Saaket
|
|
|
2 |
12 |
p.
|
article
|
| 16 |
The non-linear impact of data handling on network diffusion models
|
Nevin, James
|
|
|
2 |
12 |
p.
|
article
|
Journal description