Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Resample aggregating improves the generalizability of connectome predictive modeling. Retrieved May 24, 2026, from https://4ort.xyz/entity/resample-aggregating-improves-the-generalizability-of-connectome-predictive-modeling
MLA“Resample aggregating improves the generalizability of connectome predictive modeling.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/resample-aggregating-improves-the-generalizability-of-connectome-predictive-modeling.
BibTeX@misc{4ortxyz_resample-aggregating-improves-the-generalizability-of-connectome-predictive-modeling_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Resample aggregating improves the generalizability of connectome predictive modeling}}, year = {2026}, url = {https://4ort.xyz/entity/resample-aggregating-improves-the-generalizability-of-connectome-predictive-modeling}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Resample aggregating improves the generalizability of connectome predictive modeling — https://4ort.xyz/entity/resample-aggregating-improves-the-generalizability-of-connectome-predictive-modeling (retrieved 2026-05-24)
