nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
A case study of the Ancientbiotics collaboration
|
Connelly, Erin |
|
|
3 |
12 |
p. |
artikel |
2 |
An AI-assisted tool for efficient prostate cancer diagnosis in low-grade and low-volume cases
|
Oner, Mustafa Umit |
|
|
3 |
12 |
p. |
artikel |
3 |
Audio self-supervised learning: A survey
|
Liu, Shuo |
|
|
3 |
12 |
p. |
artikel |
4 |
Automated 3D segmentation of guard cells enables volumetric analysis of stomatal biomechanics
|
Davaasuren, Dolzodmaa |
|
|
3 |
12 |
p. |
artikel |
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. |
artikel |
6 |
Data science enables X-ray vision
|
Santos, David A. |
|
|
3 |
12 |
p. |
artikel |
7 |
Don’t lose samples to estimation
|
Tsamardinos, Ioannis |
|
|
3 |
12 |
p. |
artikel |
8 |
Early prediction and longitudinal modeling of preeclampsia from multiomics
|
Marić, Ivana |
|
|
3 |
12 |
p. |
artikel |
9 |
Energy efficiency as a normative account for predictive coding
|
Bakhtiari, Shahab |
|
|
3 |
12 |
p. |
artikel |
10 |
Energy system digitization in the era of AI: A three-layered approach toward carbon neutrality
|
Xie, Le |
|
|
3 |
12 |
p. |
artikel |
11 |
GeoSPM: Geostatistical parametric mapping for medicine
|
Engleitner, Holger |
|
|
3 |
12 |
p. |
artikel |
12 |
Integrating supercomputing and artificial intelligence for life science
|
Rao, Jiahua |
|
|
3 |
12 |
p. |
artikel |
13 |
Machine learning accelerates identification of lithiated phases in X-ray images of battery hosts
|
Mistry, Aashutosh |
|
|
3 |
12 |
p. |
artikel |
14 |
Massive Monte Carlo simulations-guided interpretable learning of two-dimensional Curie temperature
|
Kabiraj, Arnab |
|
|
3 |
12 |
p. |
artikel |
15 |
Multivariate hyperspectral data analytics across length scales to probe compositional, phase, and strain heterogeneities in electrode materials
|
Santos, David A. |
|
|
3 |
12 |
p. |
artikel |
16 |
Predictive coding is a consequence of energy efficiency in recurrent neural networks
|
Ali, Abdullahi |
|
|
3 |
12 |
p. |
artikel |
17 |
Quantitative evaluation of explainable graph neural networks for molecular property prediction
|
Rao, Jiahua |
|
|
3 |
12 |
p. |
artikel |