nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
Detecting task demand via an eye tracking machine learning system
|
Shojaeizadeh, Mina |
|
2019 |
116 |
C |
p. 91-101 |
artikel |
2 |
Discovering emerging business ideas based on crowdfunded software projects
|
Lee, Won Sang |
|
2019 |
116 |
C |
p. 102-113 |
artikel |
3 |
Emergence of DSS efforts in genomics: Past contributions and challenges
|
Sen, Arun |
|
2019 |
116 |
C |
p. 77-90 |
artikel |
4 |
Ensemble machine learning models for aviation incident risk prediction
|
Zhang, Xiaoge |
|
2019 |
116 |
C |
p. 48-63 |
artikel |
5 |
IFC/Editorial Board
|
|
|
2019 |
116 |
C |
p. IFC |
artikel |
6 |
Mining user-generated content in an online smoking cessation community to identify smoking status: A machine learning approach
|
Wang, Xi |
|
2019 |
116 |
C |
p. 26-34 |
artikel |
7 |
Mobile coupons delivery problem: Postponable online multi-constraint knapsack
|
Kang, Keumseok |
|
2019 |
116 |
C |
p. 13-25 |
artikel |
8 |
Spatial Decision Support Systems: Three decades on
|
Keenan, Peter Bernard |
|
2019 |
116 |
C |
p. 64-76 |
artikel |
9 |
The paradox of (dis)trust in sponsorship disclosure: The characteristics and effects of sponsored online consumer reviews
|
Kim, Su Jung |
|
2019 |
116 |
C |
p. 114-124 |
artikel |
10 |
The turf is always greener: Predicting decommitments in college football recruiting using Twitter data
|
Bigsby, Kristina Gavin |
|
2019 |
116 |
C |
p. 1-12 |
artikel |
11 |
Using similarity measures for medical event sequences to predict mortality in trauma patients
|
Fredrickson, Joel |
|
2019 |
116 |
C |
p. 35-47 |
artikel |