| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Adaptive negative representations for graph contrastive learning
|
Zhang, Qi
|
|
|
5 |
C |
p. 79-86
|
artikel
|
| 2 |
An ecosystem for personal knowledge graphs: A survey and research roadmap
|
Skjæveland, Martin G.
|
|
|
5 |
C |
p. 55-69
|
artikel
|
| 3 |
A study of natural robustness of deep reinforcement learning algorithms towards adversarial perturbations
|
Liu, Qisai
|
|
|
5 |
C |
p. 126-141
|
artikel
|
| 4 |
Authorship style transfer with inverse transfer data augmentation
|
Shao, Zhonghui
|
|
|
5 |
C |
p. 94-103
|
artikel
|
| 5 |
Boosting graph search with attention network for solving the general orienteering problem
|
Liu, Zongtao
|
|
|
5 |
C |
p. 46-54
|
artikel
|
| 6 |
CellBoost: A pipeline for machine assisted annotation in neuroanatomy
|
Qian, Kui
|
|
|
5 |
C |
p. 142-154
|
artikel
|
| 7 |
CPT: Colorful Prompt Tuning for pre-trained vision-language models
|
Yao, Yuan
|
|
|
5 |
C |
p. 30-38
|
artikel
|
| 8 |
Enhancing neural network classification using fractional-order activation functions
|
Kumar, Meshach
|
|
|
5 |
C |
p. 10-22
|
artikel
|
| 9 |
Few-shot Named Entity Recognition via encoder and class intervention
|
Ding, Long
|
|
|
5 |
C |
p. 39-45
|
artikel
|
| 10 |
Generating graph perturbations to enhance the generalization of GNNs
|
Ennadir, Sofiane
|
|
|
5 |
C |
p. 216-223
|
artikel
|
| 11 |
GPT understands, too
|
Liu, Xiao
|
|
|
5 |
C |
p. 208-215
|
artikel
|
| 12 |
How to generate popular post headlines on social media?
|
Fang, Zhouxiang
|
|
|
5 |
C |
p. 1-9
|
artikel
|
| 13 |
Improving trajectory classification through Kramers–Moyal coefficients
|
Viera-López, G.
|
|
|
5 |
C |
p. 87-93
|
artikel
|
| 14 |
Label-aware debiased causal reasoning for Natural Language Inference
|
Zhang, Kun
|
|
|
5 |
C |
p. 70-78
|
artikel
|
| 15 |
Large language models in law: A survey
|
Lai, Jinqi
|
|
|
5 |
C |
p. 181-196
|
artikel
|
| 16 |
MindLLM: Lightweight large language model pre-training, evaluation and domain application
|
Yang, Yizhe
|
|
|
5 |
C |
p. 155-180
|
artikel
|
| 17 |
Mining contacts from spatio-temporal trajectories
|
Madanayake, Adikarige Randil Sanjeewa
|
|
|
5 |
C |
p. 197-207
|
artikel
|
| 18 |
PM2.5 forecasting under distribution shift: A graph learning approach
|
Liu, Yachuan
|
|
|
5 |
C |
p. 23-29
|
artikel
|
| 19 |
Publisher's Note
|
|
|
|
5 |
C |
p. 224
|
artikel
|
| 20 |
Relation-aware deep neural network enables more efficient biomedical knowledge acquisition from massive literature
|
Song, Chenyang
|
|
|
5 |
C |
p. 104-114
|
artikel
|
| 21 |
Wave2Graph: Integrating spectral features and correlations for graph-based learning in sound waves
|
Hoang, Van-Truong
|
|
|
5 |
C |
p. 115-125
|
artikel
|
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