e-ISSN: Pending
Negative / Null Result ReportNeuroscience· cited by 28

Is deep learning better than kernel regression for functional connectivity prediction of fluid intelligence?

Tong He; Ru Kong; Avram J. Holmes; Mert R. Sabuncu; Simon B. Eickhoff; Danilo Bzdok; Jiashi Feng; B.T. Thomas Yeo · 2018

WASTE classifies this as Negative / Null Result Report · AI classification, approximate

The study found no significant effect — useful as a negative control or null benchmark for your own design.

Abstract (excerpt)

In recent years, deep learning has transformed the field of machine learning. In the field of neuroimaging, there are increasing interests in adopting deep learning techniques. However, deep neural networks (DNNs) usually need large…

Excerpt shown for reference under fair use — read the full paper at the publisher.

Read full paper at publisher

Hosted by the publisher — may require access.

About to run something similar?

Run an AI Precheck on your own design to catch failure modes like this one before you spend the time. Your first desk check is free.

WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.

Metadata source: OpenAlex · DOI 10.1109/prni.2018.8423958