This paper would be of interest to researchers studying cognitive control and adaptive behavior, if the concerns raised in the reviews can be addressed satisfactorily. Understanding how task knowledge ...

Q: Why don’t they use the tunnels at K-State anymore? A: By “use,” I assume you mean letting people wander around in them. If not, I need to correct your premise. The tunnels you’re referring to run ...

Department of Chemical, Biological, Pharmaceutical and Environmental Sciences (CHIBIOFARAM), University of Messina, Viale Ferdinando D’Alcontres 13, I-98166 Messina, Italy ...

ABSTRACT: This paper aims to investigate the effectiveness of logistic regression and discriminant analysis in predicting diabetes in patients using a diabetes dataset. Additionally, the paper ...

Has anyone compared nnU-Net trained as a single model on 100% of the training data vs. the default 5-fold CV ensemble (5×80%)? I wonder how much accuracy is actually lost or gained, given the big ...

Objective: This study aimed to examine the relationship between physical activity volume and sleep duration in older adults, using objective monitoring data to investigate their non-linear association ...

ABSTRACT: Bipolar disorder is a multifaceted psychiatric illness characterized by unpredictable mood episodes and highly variable treatment responses across individuals. Predicting response to ...

K-Fold cross validation is popular in machine learning, but it’s not always the best choice. Discover the limitations and pitfalls of K-Fold CV, and learn when alternative validation methods might ...

Background: Type 2 diabetes mellitus (T2DM) is a common comorbidity of chronic obstructive pulmonary disease (COPD), which significantly increases the risk of rehospitalization and mortality in ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. With the rapid growth of artificial intelligence and machine learning across ...

Choosing the right cross-validation technique is crucial for building reliable machine learning models. In this video, we explore popular methods like k-fold, stratified k-fold, leave-one-out, and ...