Gast ::
| Hauptseite > Publikationsdatenbank > Generalizability of connectome-based predictive models > print |
| 001 | 911677 | ||
| 005 | 20221123131042.0 | ||
| 024 | 7 | _ | |a 2128/32728 |2 Handle |
| 037 | _ | _ | |a FZJ-2022-04932 |
| 100 | 1 | _ | |a GENON, Sarah |0 P:(DE-Juel1)161225 |b 0 |e Corresponding author |
| 111 | 2 | _ | |a 20th Brain Connectivity Workshop |c Düsseldorf |d 2022-06-14 - 2022-06-14 |w online event |
| 245 | _ | _ | |a Generalizability of connectome-based predictive models |
| 260 | _ | _ | |c 2022 |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
| 336 | 7 | _ | |a Other |2 DataCite |
| 336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
| 336 | 7 | _ | |a conferenceObject |2 DRIVER |
| 336 | 7 | _ | |a LECTURE_SPEECH |2 ORCID |
| 336 | 7 | _ | |a Conference Presentation |b conf |m conf |0 PUB:(DE-HGF)6 |s 1669124138_9401 |2 PUB:(DE-HGF) |x Other |
| 520 | _ | _ | |a The development of connectome-based predictive models of behavioral phenotype has more recently opened new perspectives for understanding brain-behavior relationships in basic neuroscience, but also for precision medicine. However, the insight provided by the machine learning models and the further deployment of these approaches are conditioned by their generalizability. In our recent work, we tackled this crucial question across several popular datasets in the field. |
| 536 | _ | _ | |a 5251 - Multilevel Brain Organization and Variability (POF4-525) |0 G:(DE-HGF)POF4-5251 |c POF4-525 |f POF IV |x 0 |
| 856 | 4 | _ | |u https://events.hifis.net/event/425/ |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/911677/files/PresentationGenon_compressed.pdf |y OpenAccess |
| 909 | C | O | |o oai:juser.fz-juelich.de:911677 |p openaire |p open_access |p VDB |p driver |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)161225 |
| 913 | 1 | _ | |a DE-HGF |b Key Technologies |l Natural, Artificial and Cognitive Information Processing |1 G:(DE-HGF)POF4-520 |0 G:(DE-HGF)POF4-525 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-500 |4 G:(DE-HGF)POF |v Decoding Brain Organization and Dysfunction |9 G:(DE-HGF)POF4-5251 |x 0 |
| 914 | 1 | _ | |y 2022 |
| 915 | _ | _ | |a OpenAccess |0 StatID:(DE-HGF)0510 |2 StatID |
| 920 | _ | _ | |l yes |
| 920 | 1 | _ | |0 I:(DE-Juel1)INM-7-20090406 |k INM-7 |l Gehirn & Verhalten |x 0 |
| 980 | 1 | _ | |a FullTexts |
| 980 | _ | _ | |a conf |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a UNRESTRICTED |
| 980 | _ | _ | |a I:(DE-Juel1)INM-7-20090406 |
| Library | Collection | CLSMajor | CLSMinor | Language | Author |
|---|