nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
An EEG-based functional connectivity measure for automatic detection of alcohol use disorder
|
Mumtaz, Wajid |
|
2018 |
84 |
C |
p. 79-89 |
artikel |
2 |
A novel method for predicting kidney stone type using ensemble learning
|
Kazemi, Yassaman |
|
2018 |
84 |
C |
p. 117-126 |
artikel |
3 |
Bayesian averaging over Decision Tree models for trauma severity scoring
|
Schetinin, V. |
|
2018 |
84 |
C |
p. 139-145 |
artikel |
4 |
Chaotic genetic algorithm and Adaboost ensemble metamodeling approach for optimum resource planning in emergency departments
|
Yousefi, Milad |
|
2018 |
84 |
C |
p. 23-33 |
artikel |
5 |
Development of an intelligent surgical training system for Thoracentesis
|
Nakawala, Hirenkumar |
|
2018 |
84 |
C |
p. 50-63 |
artikel |
6 |
Different approaches for identifying important concepts in probabilistic biomedical text summarization
|
Moradi, Milad |
|
2018 |
84 |
C |
p. 101-116 |
artikel |
7 |
Editorial Board
|
|
|
2018 |
84 |
C |
p. ii |
artikel |
8 |
Image processing strategies based on saliency segmentation for object recognition under simulated prosthetic vision
|
Li, Heng |
|
2018 |
84 |
C |
p. 64-78 |
artikel |
9 |
Improving the anesthetic process by a fuzzy rule based medical decision system
|
Mendez, Juan Albino |
|
2018 |
84 |
C |
p. 159-170 |
artikel |
10 |
isGPT: An optimized model to identify sub-Golgi protein types using SVM and Random Forest based feature selection
|
Rahman, M. Saifur |
|
2018 |
84 |
C |
p. 90-100 |
artikel |
11 |
Pronation and supination analysis based on biomechanical signals from Parkinson’s disease patients
|
Garza-Rodríguez, Alejandro |
|
2018 |
84 |
C |
p. 7-22 |
artikel |
12 |
Random ensemble learning for EEG classification
|
Hosseini, Mohammad-Parsa |
|
2018 |
84 |
C |
p. 146-158 |
artikel |
13 |
Seymour Aubrey Papert (1928–2016)
|
|
|
2018 |
84 |
C |
p. 1-6 |
artikel |
14 |
Spatiotemporal Bayesian networks for malaria prediction
|
Haddawy, Peter |
|
2018 |
84 |
C |
p. 127-138 |
artikel |
15 |
SSEL-ADE: A semi-supervised ensemble learning framework for extracting adverse drug events from social media
|
Liu, Jing |
|
2018 |
84 |
C |
p. 34-49 |
artikel |