NPR's Scott Detrow speaks with Shane Littrell of Cornell University, whose new study concludes that those who buy into corporate jargon may actually be worse at their jobs.
A new Cornell University study finds that employees who are impressed by corporate jargon score worse on decision-making ...
Abstract: Imbalanced data remains a challenge in classification research and significantly influences classifier performance. The strategy that is widely used to address this issue is the data-level ...
Abstract: To better protect and restore ancient mural art, this study proposes an improved adaptive sample block Criminisi algorithm to address the shortcomings of traditional manual restoration ...
Objective Postmarketing safety data of avacopan, the first Food and Drug Administration (FDA) approved drug in a decade for antineutrophil cytoplasmic antibody-associated vasculitis (AAV), are ...
Background Hypertrophic cardiomyopathy (HCM) is associated with an increased risk of sudden cardiac death (SCD), and ...
Objective To examine associations between participants’ perinatal factors, including harmonised birth weight and length, ...
Background Transcatheter aortic valve replacement (TAVR) has increasingly emerged as one of the primary treatments for ...
RLightning is a reinforcement learning framework designed for embodied intelligence — from humanoid locomotion to robotic manipulation. Its core principle is "prototype locally, scale seamlessly": ...
Page Fault/ ├── constants.py # Constants, enums, configuration (~35 lines) ├── models.py # Data classes (~20 lines) ├── algorithms.py # Algorithm ...
For all 4 algorithms, more balanced classes (multiplier: 0.93-0.96 for a 1% increase in minority class proportion) were associated with decreased sample size. Other characteristics varied in ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results