nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
Adaptive geometric median prototype selection method for k-nearest neighbors classification
|
Kasemtaweechok, Chatchai |
|
2019 |
23 |
4 |
p. 855-876 |
artikel |
2 |
A semantic textual similarity measurement model based on the syntactic-semantic representation
|
Tang, Zhuo |
|
2019 |
23 |
4 |
p. 933-950 |
artikel |
3 |
Attributed network representation learning via DeepWalk
|
Wei, Hao |
|
2019 |
23 |
4 |
p. 877-893 |
artikel |
4 |
Discovering context specific causal relationships
|
Ma, Saisai |
|
2019 |
23 |
4 |
p. 917-931 |
artikel |
5 |
Editorial
|
|
|
2019 |
23 |
4 |
p. 733-735 |
artikel |
6 |
Hephaistos: A fast and distributed outlier detection approach for big mixed attribute data
|
Du, Haizhou |
|
2019 |
23 |
4 |
p. 759-778 |
artikel |
7 |
Improving data quality with label noise correction
|
Li, Benchong |
|
2019 |
23 |
4 |
p. 737-757 |
artikel |
8 |
Learning of indiscriminate distributions of document embeddings for domain adaptation
|
Park, Saerom |
|
2019 |
23 |
4 |
p. 779-797 |
artikel |
9 |
Multi-label learning vector quantization for semi-supervised classification
|
Chen, Ning |
|
2019 |
23 |
4 |
p. 839-853 |
artikel |
10 |
Predictive models for cognitive rehabilitation of patients with traumatic brain injury
|
GarcĂa-Rudolph, Alejandro |
|
2019 |
23 |
4 |
p. 895-915 |
artikel |
11 |
Scalable k-means for large-scale clustering
|
Ming, Yuewei |
|
2019 |
23 |
4 |
p. 825-838 |
artikel |
12 |
The relationship determination between the Bayesian networks nodes based on the intuitionistic fuzzy set
|
Li, Hui |
|
2019 |
23 |
4 |
p. 951-969 |
artikel |
13 |
Unsupervised distance learning for extended self-organizing map and visualization of mixed-type data
|
Hsu, Chung-Chian |
|
2019 |
23 |
4 |
p. 799-823 |
artikel |