| no |
title |
author |
magazine |
year |
volume |
issue |
page(s) |
type |
| 1 |
A case study of the Ancientbiotics collaboration
|
Connelly, Erin
|
|
|
3 |
12 |
p.
|
article
|
| 2 |
An AI-assisted tool for efficient prostate cancer diagnosis in low-grade and low-volume cases
|
Oner, Mustafa Umit
|
|
|
3 |
12 |
p.
|
article
|
| 3 |
Audio self-supervised learning: A survey
|
Liu, Shuo
|
|
|
3 |
12 |
p.
|
article
|
| 4 |
Automated 3D segmentation of guard cells enables volumetric analysis of stomatal biomechanics
|
Davaasuren, Dolzodmaa
|
|
|
3 |
12 |
p.
|
article
|
| 5 |
Can counterfactual explanations of AI systems’ predictions skew lay users’ causal intuitions about the world? If so, can we correct for that?
|
Tešić, Marko
|
|
|
3 |
12 |
p.
|
article
|
| 6 |
Data science enables X-ray vision
|
Santos, David A.
|
|
|
3 |
12 |
p.
|
article
|
| 7 |
Don’t lose samples to estimation
|
Tsamardinos, Ioannis
|
|
|
3 |
12 |
p.
|
article
|
| 8 |
Early prediction and longitudinal modeling of preeclampsia from multiomics
|
Marić, Ivana
|
|
|
3 |
12 |
p.
|
article
|
| 9 |
Energy efficiency as a normative account for predictive coding
|
Bakhtiari, Shahab
|
|
|
3 |
12 |
p.
|
article
|
| 10 |
Energy system digitization in the era of AI: A three-layered approach toward carbon neutrality
|
Xie, Le
|
|
|
3 |
12 |
p.
|
article
|
| 11 |
GeoSPM: Geostatistical parametric mapping for medicine
|
Engleitner, Holger
|
|
|
3 |
12 |
p.
|
article
|
| 12 |
Integrating supercomputing and artificial intelligence for life science
|
Rao, Jiahua
|
|
|
3 |
12 |
p.
|
article
|
| 13 |
Machine learning accelerates identification of lithiated phases in X-ray images of battery hosts
|
Mistry, Aashutosh
|
|
|
3 |
12 |
p.
|
article
|
| 14 |
Massive Monte Carlo simulations-guided interpretable learning of two-dimensional Curie temperature
|
Kabiraj, Arnab
|
|
|
3 |
12 |
p.
|
article
|
| 15 |
Multivariate hyperspectral data analytics across length scales to probe compositional, phase, and strain heterogeneities in electrode materials
|
Santos, David A.
|
|
|
3 |
12 |
p.
|
article
|
| 16 |
Predictive coding is a consequence of energy efficiency in recurrent neural networks
|
Ali, Abdullahi
|
|
|
3 |
12 |
p.
|
article
|
| 17 |
Quantitative evaluation of explainable graph neural networks for molecular property prediction
|
Rao, Jiahua
|
|
|
3 |
12 |
p.
|
article
|
Journal description