| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Aligning large language models and geometric deep models for protein representation
|
Shu, Dong
|
|
|
6 |
5 |
p.
|
artikel
|
| 2 |
Bringing AI participation down to scale
|
Moats, David
|
|
|
6 |
5 |
p.
|
artikel
|
| 3 |
Closing the multichannel gap through computational reconstruction of interaction in super-resolution microscopy
|
Cardoen, Ben
|
|
|
6 |
5 |
p.
|
artikel
|
| 4 |
Designing a large language model for chemists
|
Chen, Xiaoyi
|
|
|
6 |
5 |
p.
|
artikel
|
| 5 |
Evaluation of unsupervised learning algorithms for the classification of behavior from pose estimation data
|
Mlost, Jakub
|
|
|
6 |
5 |
p.
|
artikel
|
| 6 |
Fine-Pruning: A biologically inspired algorithm for personalization of machine learning models
|
Bingham, Joseph
|
|
|
6 |
5 |
p.
|
artikel
|
| 7 |
FoodSky: A food-oriented large language model that can pass the chef and dietetic examinations
|
Zhou, Pengfei
|
|
|
6 |
5 |
p.
|
artikel
|
| 8 |
Harnessing explainable AI to adaptively design catalysts for lithium-sulfur batteries
|
Liu, Xinyan
|
|
|
6 |
5 |
p.
|
artikel
|
| 9 |
SECONDGRAM: Self-conditioned diffusion with gradient manipulation for longitudinal MRI imputation
|
Theodorou, Brandon
|
|
|
6 |
5 |
p.
|
artikel
|
| 10 |
Starting a synthetic biological intelligence lab from scratch
|
Tanveer, Md Sayed
|
|
|
6 |
5 |
p.
|
artikel
|
| 11 |
Strategies to include prior knowledge in omics analysis with deep neural networks
|
Thapa, Kisan
|
|
|
6 |
5 |
p.
|
artikel
|
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